,gender,checking_status,duration,credit_history,purpose,credit_amount,savings_status,employment,installment_commitment,other_parties,residence_since,property_magnitude,age,other_payment_plans,housing,existing_credits,job,num_dependents,own_telephone,foreign_worker,class,great,list,text,html,latex,json,LIFT
0,male,'<0',60,'delayed previously',business,6836,'<100','>=7',3,none,4,'no known property',63,none,own,2,skilled,1,yes,yes,bad,"gender is male, checking_status is '<0', duration is 60, credit_history is 'delayed previously', purpose is business, credit_amount is 6836, savings_status is '<100', employment is '>=7', installment_commitment is 3, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 63, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 60
 - credit_history : 'delayed previously'
 - purpose : business
 - credit_amount : 6836
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 63
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 60. The credit_history is 'delayed previously'. The purpose is business. The credit_amount is 6836. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 3. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 63. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>60</td>
      <td>'delayed previously'</td>
      <td>business</td>
      <td>6836</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>3</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>63</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 60 & 'delayed previously' & business & 6836 & '<100' & '>=7' & 3 & none & 4 & 'no known property' & 63 & none & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 63, 'checking_status': ""'<0'"", 'credit_amount': 6836, 'credit_history': ""'delayed previously'"", 'duration': 60, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': 'business', 'residence_since': 4, 'savings_status': ""'<100'""}",A 63-year-old male German Foreigner is applying for a loan of 6836 credits for 60 months for business purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 4 years.  He owns no known property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
1,male,'>=200',21,'critical/other existing credit',education,2319,'<100','<1',2,none,1,car,33,none,rent,1,skilled,1,none,yes,bad,"gender is male, checking_status is '>=200', duration is 21, credit_history is 'critical/other existing credit', purpose is education, credit_amount is 2319, savings_status is '<100', employment is '<1', installment_commitment is 2, other_parties is none, residence_since is 1, property_magnitude is car, age is 33, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '>=200'
 - duration : 21
 - credit_history : 'critical/other existing credit'
 - purpose : education
 - credit_amount : 2319
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 1
 - property_magnitude : car
 - age : 33
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '>=200'. The duration is 21. The credit_history is 'critical/other existing credit'. The purpose is education. The credit_amount is 2319. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 2. The other_parties is none. The residence_since is 1. The property_magnitude is car. The age is 33. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&gt;=200'</td>
      <td>21</td>
      <td>'critical/other existing credit'</td>
      <td>education</td>
      <td>2319</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>2</td>
      <td>none</td>
      <td>1</td>
      <td>car</td>
      <td>33</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '>=200' & 21 & 'critical/other existing credit' & education & 2319 & '<100' & '<1' & 2 & none & 1 & car & 33 & none & rent & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 33, 'checking_status': ""'>=200'"", 'credit_amount': 2319, 'credit_history': ""'critical/other existing credit'"", 'duration': 21, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'education', 'residence_since': 1, 'savings_status': ""'<100'""}",A 33-year-old male German Foreigner is applying for a loan of 2319 credits for 21 months for education purposes. He has a checking account with 200 Deutsche Mark or more and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for less than one years. He has lived in a rented apartment for 1 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
2,male,'no checking',6,'existing paid','used car',1236,'500<=X<1000','1<=X<4',2,none,4,'life insurance',50,none,rent,1,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 6, credit_history is 'existing paid', purpose is 'used car', credit_amount is 1236, savings_status is '500<=X<1000', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 50, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 6
 - credit_history : 'existing paid'
 - purpose : 'used car'
 - credit_amount : 1236
 - savings_status : '500<=X<1000'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 50
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 6. The credit_history is 'existing paid'. The purpose is 'used car'. The credit_amount is 1236. The savings_status is '500<=X<1000'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 50. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>6</td>
      <td>'existing paid'</td>
      <td>'used car'</td>
      <td>1236</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>50</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 6 & 'existing paid' & 'used car' & 1236 & '500<=X<1000' & '1<=X<4' & 2 & none & 4 & 'life insurance' & 50 & none & rent & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 50, 'checking_status': ""'no checking'"", 'credit_amount': 1236, 'credit_history': ""'existing paid'"", 'duration': 6, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'500<=X<1000'""}",A 50-year-old male German Foreigner is applying for a loan of 1236 credits for 6 months for used car purposes. He has no checking account and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a rented apartment for 4 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
3,female,'no checking',21,'no credits/all paid','new car',5003,'no known savings','1<=X<4',1,none,4,'life insurance',29,bank,own,2,skilled,1,yes,yes,bad,"gender is female, checking_status is 'no checking', duration is 21, credit_history is 'no credits/all paid', purpose is 'new car', credit_amount is 5003, savings_status is 'no known savings', employment is '1<=X<4', installment_commitment is 1, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 29, other_payment_plans is bank, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 21
 - credit_history : 'no credits/all paid'
 - purpose : 'new car'
 - credit_amount : 5003
 - savings_status : 'no known savings'
 - employment : '1<=X<4'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 29
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 21. The credit_history is 'no credits/all paid'. The purpose is 'new car'. The credit_amount is 5003. The savings_status is 'no known savings'. The employment is '1<=X<4'. The installment_commitment is 1. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 29. The other_payment_plans is bank. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>21</td>
      <td>'no credits/all paid'</td>
      <td>'new car'</td>
      <td>5003</td>
      <td>'no known savings'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>1</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>29</td>
      <td>bank</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 21 & 'no credits/all paid' & 'new car' & 5003 & 'no known savings' & '1<=X<4' & 1 & none & 4 & 'life insurance' & 29 & bank & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 29, 'checking_status': ""'no checking'"", 'credit_amount': 5003, 'credit_history': ""'no credits/all paid'"", 'duration': 21, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 29-year-old female German Foreigner is applying for a loan of 5003 credits for 21 months for new car purposes. She has no checking account and no known savings. She did not take any credits at this bank or has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. She has other installment plans with a bank and 2 credits at this bank. She is employed for more than one year but less than four years. She has lived in a self-owned house for 4 years.  She owns life insurance property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
4,female,'no checking',12,'existing paid',radio/tv,886,'no known savings','1<=X<4',4,none,2,car,21,none,own,1,skilled,1,none,yes,good,"gender is female, checking_status is 'no checking', duration is 12, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 886, savings_status is 'no known savings', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is car, age is 21, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 886
 - savings_status : 'no known savings'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 21
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 12. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 886. The savings_status is 'no known savings'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 21. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>886</td>
      <td>'no known savings'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>21</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 12 & 'existing paid' & radio/tv & 886 & 'no known savings' & '1<=X<4' & 4 & none & 2 & car & 21 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 21, 'checking_status': ""'no checking'"", 'credit_amount': 886, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'no known savings'""}",A 21-year-old female German Foreigner is applying for a loan of 886 credits for 12 months for radio or tv purposes. She has no checking account and no known savings. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for more than one year but less than four years. She has lived in a self-owned house for 2 years.  She owns a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
5,female,'<0',24,'existing paid','new car',1442,'<100','4<=X<7',4,none,4,car,23,none,rent,2,skilled,1,none,yes,bad,"gender is female, checking_status is '<0', duration is 24, credit_history is 'existing paid', purpose is 'new car', credit_amount is 1442, savings_status is '<100', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is car, age is 23, other_payment_plans is none, housing is rent, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 1442
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 23
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 24. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 1442. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 23. The other_payment_plans is none. The housing is rent. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>1442</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>23</td>
      <td>none</td>
      <td>rent</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 24 & 'existing paid' & 'new car' & 1442 & '<100' & '4<=X<7' & 4 & none & 4 & car & 23 & none & rent & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 23, 'checking_status': ""'<0'"", 'credit_amount': 1442, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'4<=X<7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 23-year-old female German Foreigner is applying for a loan of 1442 credits for 24 months for new car purposes. She has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 2 credits at this bank. She is employed for more than four years but less than seven years. She has lived in a rented apartment for 4 years.  She owns a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
6,male,'no checking',6,'existing paid',furniture/equipment,2978,'500<=X<1000','1<=X<4',1,none,2,car,32,none,own,1,skilled,1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 6, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 2978, savings_status is '500<=X<1000', employment is '1<=X<4', installment_commitment is 1, other_parties is none, residence_since is 2, property_magnitude is car, age is 32, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 6
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 2978
 - savings_status : '500<=X<1000'
 - employment : '1<=X<4'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 32
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 6. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 2978. The savings_status is '500<=X<1000'. The employment is '1<=X<4'. The installment_commitment is 1. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 32. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>6</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>2978</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>1</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>32</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 6 & 'existing paid' & furniture/equipment & 2978 & '500<=X<1000' & '1<=X<4' & 1 & none & 2 & car & 32 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 32, 'checking_status': ""'no checking'"", 'credit_amount': 2978, 'credit_history': ""'existing paid'"", 'duration': 6, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'furniture/equipment', 'residence_since': 2, 'savings_status': ""'500<=X<1000'""}",A 32-year-old male German Foreigner is applying for a loan of 2978 credits for 6 months for furniture or equipment purposes. He has no checking account and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 2 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
7,male,'<0',24,'existing paid',furniture/equipment,2359,'100<=X<500',unemployed,1,none,1,'life insurance',33,none,own,1,skilled,1,none,yes,bad,"gender is male, checking_status is '<0', duration is 24, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 2359, savings_status is '100<=X<500', employment is unemployed, installment_commitment is 1, other_parties is none, residence_since is 1, property_magnitude is 'life insurance', age is 33, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 2359
 - savings_status : '100<=X<500'
 - employment : unemployed
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'life insurance'
 - age : 33
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 24. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 2359. The savings_status is '100<=X<500'. The employment is unemployed. The installment_commitment is 1. The other_parties is none. The residence_since is 1. The property_magnitude is 'life insurance'. The age is 33. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>2359</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>unemployed</td>
      <td>1</td>
      <td>none</td>
      <td>1</td>
      <td>'life insurance'</td>
      <td>33</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 24 & 'existing paid' & furniture/equipment & 2359 & '100<=X<500' & unemployed & 1 & none & 1 & 'life insurance' & 33 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 33, 'checking_status': ""'<0'"", 'credit_amount': 2359, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': 'unemployed', 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 1, 'savings_status': ""'100<=X<500'""}",A 33-year-old male German Foreigner is applying for a loan of 2359 credits for 24 months for furniture or equipment purposes. He has a checking account with 0 Deutsche Mark and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 1 credits at this bank. He is unemployed. He has lived in a self-owned house for 1 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
8,male,'<0',24,'existing paid',furniture/equipment,2996,'no known savings','1<=X<4',2,none,4,car,20,none,own,1,skilled,1,none,yes,bad,"gender is male, checking_status is '<0', duration is 24, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 2996, savings_status is 'no known savings', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is car, age is 20, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 2996
 - savings_status : 'no known savings'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 20
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 24. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 2996. The savings_status is 'no known savings'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 20. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>2996</td>
      <td>'no known savings'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>20</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 24 & 'existing paid' & furniture/equipment & 2996 & 'no known savings' & '1<=X<4' & 2 & none & 4 & car & 20 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 20, 'checking_status': ""'<0'"", 'credit_amount': 2996, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 20-year-old male German Foreigner is applying for a loan of 2996 credits for 24 months for furniture or equipment purposes. He has a checking account with 0 Deutsche Mark and no known savings. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 4 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
9,male,'no checking',18,'critical/other existing credit',furniture/equipment,3780,'<100','<1',3,none,2,car,35,none,own,2,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 18, credit_history is 'critical/other existing credit', purpose is furniture/equipment, credit_amount is 3780, savings_status is '<100', employment is '<1', installment_commitment is 3, other_parties is none, residence_since is 2, property_magnitude is car, age is 35, other_payment_plans is none, housing is own, existing_credits is 2, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 18
 - credit_history : 'critical/other existing credit'
 - purpose : furniture/equipment
 - credit_amount : 3780
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 35
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 18. The credit_history is 'critical/other existing credit'. The purpose is furniture/equipment. The credit_amount is 3780. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 3. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 35. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>18</td>
      <td>'critical/other existing credit'</td>
      <td>furniture/equipment</td>
      <td>3780</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>3</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>35</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 18 & 'critical/other existing credit' & furniture/equipment & 3780 & '<100' & '<1' & 3 & none & 2 & car & 35 & none & own & 2 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 35, 'checking_status': ""'no checking'"", 'credit_amount': 3780, 'credit_history': ""'critical/other existing credit'"", 'duration': 18, 'employment': ""'<1'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'furniture/equipment', 'residence_since': 2, 'savings_status': ""'<100'""}",A 35-year-old male German Foreigner is applying for a loan of 3780 credits for 18 months for furniture or equipment purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 2 credits at this bank. He is employed for less than one years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 2 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
10,male,'no checking',27,'existing paid',repairs,5190,'no known savings','>=7',4,none,4,'life insurance',48,none,own,4,skilled,2,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 27, credit_history is 'existing paid', purpose is repairs, credit_amount is 5190, savings_status is 'no known savings', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 48, other_payment_plans is none, housing is own, existing_credits is 4, job is skilled, num_dependents is 2, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 27
 - credit_history : 'existing paid'
 - purpose : repairs
 - credit_amount : 5190
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 48
 - other_payment_plans : none
 - housing : own
 - existing_credits : 4
 - job : skilled
 - num_dependents : 2
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 27. The credit_history is 'existing paid'. The purpose is repairs. The credit_amount is 5190. The savings_status is 'no known savings'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 48. The other_payment_plans is none. The housing is own. The existing_credits is 4. The job is skilled. The num_dependents is 2. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>27</td>
      <td>'existing paid'</td>
      <td>repairs</td>
      <td>5190</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>48</td>
      <td>none</td>
      <td>own</td>
      <td>4</td>
      <td>skilled</td>
      <td>2</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 27 & 'existing paid' & repairs & 5190 & 'no known savings' & '>=7' & 4 & none & 4 & 'life insurance' & 48 & none & own & 4 & skilled & 2 & yes & yes \\
\end{tabular}
","{'age': 48, 'checking_status': ""'no checking'"", 'credit_amount': 5190, 'credit_history': ""'existing paid'"", 'duration': 27, 'employment': ""'>=7'"", 'existing_credits': 4, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': 'repairs', 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 48-year-old male German Foreigner is applying for a loan of 5190 credits for 27 months for repairs purposes. He has no checking account and no known savings. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 4 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 4 years.  He owns life insurance property. He owns a telephone and has 2 people that he is liable to provide maintenance for.
11,female,'0<=X<200',36,'existing paid',radio/tv,4795,'<100','<1',4,none,1,'no known property',30,none,own,1,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is female, checking_status is '0<=X<200', duration is 36, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 4795, savings_status is '<100', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 1, property_magnitude is 'no known property', age is 30, other_payment_plans is none, housing is own, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 36
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 4795
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'no known property'
 - age : 30
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 36. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 4795. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 1. The property_magnitude is 'no known property'. The age is 30. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>36</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>4795</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>1</td>
      <td>'no known property'</td>
      <td>30</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 36 & 'existing paid' & radio/tv & 4795 & '<100' & '<1' & 4 & none & 1 & 'no known property' & 30 & none & own & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 30, 'checking_status': ""'0<=X<200'"", 'credit_amount': 4795, 'credit_history': ""'existing paid'"", 'duration': 36, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': 'radio/tv', 'residence_since': 1, 'savings_status': ""'<100'""}",A 30-year-old female German Foreigner is applying for a loan of 4795 credits for 36 months for radio or tv purposes. She has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for less than one years and is recognized as a highly qualified employee or is self employed or has managerial position. She has lived in a self-owned house for 1 years.  She owns no known property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
12,male,'<0',12,'all paid','new car',697,'<100','<1',4,none,2,car,46,bank,own,2,skilled,1,yes,yes,bad,"gender is male, checking_status is '<0', duration is 12, credit_history is 'all paid', purpose is 'new car', credit_amount is 697, savings_status is '<100', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is car, age is 46, other_payment_plans is bank, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 12
 - credit_history : 'all paid'
 - purpose : 'new car'
 - credit_amount : 697
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 46
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 12. The credit_history is 'all paid'. The purpose is 'new car'. The credit_amount is 697. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 46. The other_payment_plans is bank. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>12</td>
      <td>'all paid'</td>
      <td>'new car'</td>
      <td>697</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>46</td>
      <td>bank</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 12 & 'all paid' & 'new car' & 697 & '<100' & '<1' & 4 & none & 2 & car & 46 & bank & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 46, 'checking_status': ""'<0'"", 'credit_amount': 697, 'credit_history': ""'all paid'"", 'duration': 12, 'employment': ""'<1'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'<100'""}",A 46-year-old male German Foreigner is applying for a loan of 697 credits for 12 months for new car purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a bank and 2 credits at this bank. He is employed for less than one years. He has lived in a self-owned house for 2 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
13,male,'no checking',18,'no credits/all paid',business,4165,'<100','1<=X<4',2,none,2,car,36,stores,own,2,skilled,2,none,yes,bad,"gender is male, checking_status is 'no checking', duration is 18, credit_history is 'no credits/all paid', purpose is business, credit_amount is 4165, savings_status is '<100', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 2, property_magnitude is car, age is 36, other_payment_plans is stores, housing is own, existing_credits is 2, job is skilled, num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 18
 - credit_history : 'no credits/all paid'
 - purpose : business
 - credit_amount : 4165
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 36
 - other_payment_plans : stores
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 18. The credit_history is 'no credits/all paid'. The purpose is business. The credit_amount is 4165. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 36. The other_payment_plans is stores. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>18</td>
      <td>'no credits/all paid'</td>
      <td>business</td>
      <td>4165</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>36</td>
      <td>stores</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 18 & 'no credits/all paid' & business & 4165 & '<100' & '1<=X<4' & 2 & none & 2 & car & 36 & stores & own & 2 & skilled & 2 & none & yes \\
\end{tabular}
","{'age': 36, 'checking_status': ""'no checking'"", 'credit_amount': 4165, 'credit_history': ""'no credits/all paid'"", 'duration': 18, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'stores', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'business', 'residence_since': 2, 'savings_status': ""'<100'""}",A 36-year-old male German Foreigner is applying for a loan of 4165 credits for 18 months for business purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He did not take any credits at this bank or has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has other installment plans with a store and 2 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 2 years.  He owns a car. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
14,male,'<0',14,'existing paid','new car',3973,'<100',unemployed,1,none,4,'no known property',22,none,'for free',1,skilled,1,none,yes,good,"gender is male, checking_status is '<0', duration is 14, credit_history is 'existing paid', purpose is 'new car', credit_amount is 3973, savings_status is '<100', employment is unemployed, installment_commitment is 1, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 22, other_payment_plans is none, housing is 'for free', existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 14
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 3973
 - savings_status : '<100'
 - employment : unemployed
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 22
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 14. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 3973. The savings_status is '<100'. The employment is unemployed. The installment_commitment is 1. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 22. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>14</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>3973</td>
      <td>'&lt;100'</td>
      <td>unemployed</td>
      <td>1</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>22</td>
      <td>none</td>
      <td>'for free'</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 14 & 'existing paid' & 'new car' & 3973 & '<100' & unemployed & 1 & none & 4 & 'no known property' & 22 & none & 'for free' & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 22, 'checking_status': ""'<0'"", 'credit_amount': 3973, 'credit_history': ""'existing paid'"", 'duration': 14, 'employment': 'unemployed', 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'no known property'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 22-year-old male German Foreigner is applying for a loan of 3973 credits for 14 months for new car purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 1 credits at this bank. He is unemployed. He has lived in a free accommodation for 4 years.  He owns no known property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
15,female,'no checking',18,'critical/other existing credit',education,1864,'100<=X<500','1<=X<4',4,none,2,'real estate',30,none,own,2,skilled,1,none,yes,bad,"gender is female, checking_status is 'no checking', duration is 18, credit_history is 'critical/other existing credit', purpose is education, credit_amount is 1864, savings_status is '100<=X<500', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 30, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 18
 - credit_history : 'critical/other existing credit'
 - purpose : education
 - credit_amount : 1864
 - savings_status : '100<=X<500'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 30
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 18. The credit_history is 'critical/other existing credit'. The purpose is education. The credit_amount is 1864. The savings_status is '100<=X<500'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 30. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>18</td>
      <td>'critical/other existing credit'</td>
      <td>education</td>
      <td>1864</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>30</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 18 & 'critical/other existing credit' & education & 1864 & '100<=X<500' & '1<=X<4' & 4 & none & 2 & 'real estate' & 30 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 30, 'checking_status': ""'no checking'"", 'credit_amount': 1864, 'credit_history': ""'critical/other existing credit'"", 'duration': 18, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'education', 'residence_since': 2, 'savings_status': ""'100<=X<500'""}",A 30-year-old female German Foreigner is applying for a loan of 1864 credits for 18 months for education purposes. She has no checking account and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 2 credits at this bank. She is employed for more than one year but less than four years. She has lived in a self-owned house for 2 years.  She owns some real estate property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
16,female,'>=200',6,'critical/other existing credit',education,1047,'<100','1<=X<4',2,none,4,'life insurance',50,none,own,1,'unskilled resident',1,none,yes,good,"gender is female, checking_status is '>=200', duration is 6, credit_history is 'critical/other existing credit', purpose is education, credit_amount is 1047, savings_status is '<100', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 50, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '>=200'
 - duration : 6
 - credit_history : 'critical/other existing credit'
 - purpose : education
 - credit_amount : 1047
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 50
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '>=200'. The duration is 6. The credit_history is 'critical/other existing credit'. The purpose is education. The credit_amount is 1047. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 50. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&gt;=200'</td>
      <td>6</td>
      <td>'critical/other existing credit'</td>
      <td>education</td>
      <td>1047</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>50</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '>=200' & 6 & 'critical/other existing credit' & education & 1047 & '<100' & '1<=X<4' & 2 & none & 4 & 'life insurance' & 50 & none & own & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 50, 'checking_status': ""'>=200'"", 'credit_amount': 1047, 'credit_history': ""'critical/other existing credit'"", 'duration': 6, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 2, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'education', 'residence_since': 4, 'savings_status': ""'<100'""}",A 50-year-old female German Foreigner is applying for a loan of 1047 credits for 6 months for education purposes. She has a checking account with 200 Deutsche Mark or more and a savings acccount with less than 100 Deutsche Mark. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has no other installment plans and 1 credits at this bank. She is employed for more than one year but less than four years and is recognized as an unskilled resident individual. She has lived in a self-owned house for 4 years.  She owns life insurance property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
17,female,'no checking',18,'existing paid',radio/tv,433,'<100',unemployed,3,'co applicant',4,'real estate',22,none,rent,1,skilled,1,none,yes,bad,"gender is female, checking_status is 'no checking', duration is 18, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 433, savings_status is '<100', employment is unemployed, installment_commitment is 3, other_parties is 'co applicant', residence_since is 4, property_magnitude is 'real estate', age is 22, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 433
 - savings_status : '<100'
 - employment : unemployed
 - installment_commitment : 3
 - other_parties : 'co applicant'
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 22
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 18. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 433. The savings_status is '<100'. The employment is unemployed. The installment_commitment is 3. The other_parties is 'co applicant'. The residence_since is 4. The property_magnitude is 'real estate'. The age is 22. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>18</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>433</td>
      <td>'&lt;100'</td>
      <td>unemployed</td>
      <td>3</td>
      <td>'co applicant'</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>22</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 18 & 'existing paid' & radio/tv & 433 & '<100' & unemployed & 3 & 'co applicant' & 4 & 'real estate' & 22 & none & rent & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 22, 'checking_status': ""'no checking'"", 'credit_amount': 433, 'credit_history': ""'existing paid'"", 'duration': 18, 'employment': 'unemployed', 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': ""'co applicant'"", 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'<100'""}",A 22-year-old female German Foreigner is applying for a loan of 433 credits for 18 months for radio or tv purposes. She has no checking account and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There co-applicant associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. She has no other installment plans and 1 credits at this bank. She is unemployed. She has lived in a rented apartment for 4 years.  She owns some real estate property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
18,male,'0<=X<200',36,'existing paid',education,3711,'no known savings','1<=X<4',2,none,2,car,27,none,own,1,skilled,1,none,yes,good,"gender is male, checking_status is '0<=X<200', duration is 36, credit_history is 'existing paid', purpose is education, credit_amount is 3711, savings_status is 'no known savings', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 2, property_magnitude is car, age is 27, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 36
 - credit_history : 'existing paid'
 - purpose : education
 - credit_amount : 3711
 - savings_status : 'no known savings'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 27
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 36. The credit_history is 'existing paid'. The purpose is education. The credit_amount is 3711. The savings_status is 'no known savings'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 27. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>36</td>
      <td>'existing paid'</td>
      <td>education</td>
      <td>3711</td>
      <td>'no known savings'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>27</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 36 & 'existing paid' & education & 3711 & 'no known savings' & '1<=X<4' & 2 & none & 2 & car & 27 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 27, 'checking_status': ""'0<=X<200'"", 'credit_amount': 3711, 'credit_history': ""'existing paid'"", 'duration': 36, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'education', 'residence_since': 2, 'savings_status': ""'no known savings'""}",A 27-year-old male German Foreigner is applying for a loan of 3711 credits for 36 months for education purposes. He has a checking account with less than 200 Deutsche Mark and no known savings. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 2 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
19,female,'0<=X<200',9,'existing paid',radio/tv,1206,'<100','>=7',4,none,4,'real estate',25,none,own,1,skilled,1,none,yes,good,"gender is female, checking_status is '0<=X<200', duration is 9, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1206, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 25, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 9
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1206
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 25
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 9. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1206. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 25. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>9</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1206</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>25</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 9 & 'existing paid' & radio/tv & 1206 & '<100' & '>=7' & 4 & none & 4 & 'real estate' & 25 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 25, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1206, 'credit_history': ""'existing paid'"", 'duration': 9, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'<100'""}",A 25-year-old female German Foreigner is applying for a loan of 1206 credits for 9 months for radio or tv purposes. She has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for more than seven years. She has lived in a self-owned house for 4 years.  She owns some real estate property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
20,male,'no checking',6,'existing paid',furniture/equipment,1543,'>=1000','1<=X<4',4,none,2,'real estate',33,none,own,1,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 6, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 1543, savings_status is '>=1000', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 33, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 6
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 1543
 - savings_status : '>=1000'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 33
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 6. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 1543. The savings_status is '>=1000'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 33. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>6</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>1543</td>
      <td>'&gt;=1000'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>33</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 6 & 'existing paid' & furniture/equipment & 1543 & '>=1000' & '1<=X<4' & 4 & none & 2 & 'real estate' & 33 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 33, 'checking_status': ""'no checking'"", 'credit_amount': 1543, 'credit_history': ""'existing paid'"", 'duration': 6, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'furniture/equipment', 'residence_since': 2, 'savings_status': ""'>=1000'""}",A 33-year-old male German Foreigner is applying for a loan of 1543 credits for 6 months for furniture or equipment purposes. He has no checking account and a savings with 1000 Deutsche Mark or more. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 2 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
21,female,'no checking',4,'critical/other existing credit','new car',3380,'<100','4<=X<7',1,none,1,'real estate',37,none,own,1,skilled,2,none,yes,good,"gender is female, checking_status is 'no checking', duration is 4, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 3380, savings_status is '<100', employment is '4<=X<7', installment_commitment is 1, other_parties is none, residence_since is 1, property_magnitude is 'real estate', age is 37, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 4
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 3380
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'real estate'
 - age : 37
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 4. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 3380. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 1. The other_parties is none. The residence_since is 1. The property_magnitude is 'real estate'. The age is 37. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>4</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>3380</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>1</td>
      <td>none</td>
      <td>1</td>
      <td>'real estate'</td>
      <td>37</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 4 & 'critical/other existing credit' & 'new car' & 3380 & '<100' & '4<=X<7' & 1 & none & 1 & 'real estate' & 37 & none & own & 1 & skilled & 2 & none & yes \\
\end{tabular}
","{'age': 37, 'checking_status': ""'no checking'"", 'credit_amount': 3380, 'credit_history': ""'critical/other existing credit'"", 'duration': 4, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 1, 'savings_status': ""'<100'""}",A 37-year-old female German Foreigner is applying for a loan of 3380 credits for 4 months for new car purposes. She has no checking account and a savings acccount with less than 100 Deutsche Mark. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. She has no other installment plans and 1 credits at this bank. She is employed for more than four years but less than seven years. She has lived in a self-owned house for 1 years.  She owns some real estate property. She does not own a telephone and has 2 people that she is liable to provide maintenance for.
22,female,'>=200',24,'existing paid',radio/tv,1258,'500<=X<1000','1<=X<4',3,none,3,car,57,none,own,1,'unskilled resident',1,none,yes,good,"gender is female, checking_status is '>=200', duration is 24, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1258, savings_status is '500<=X<1000', employment is '1<=X<4', installment_commitment is 3, other_parties is none, residence_since is 3, property_magnitude is car, age is 57, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '>=200'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1258
 - savings_status : '500<=X<1000'
 - employment : '1<=X<4'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 3
 - property_magnitude : car
 - age : 57
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '>=200'. The duration is 24. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1258. The savings_status is '500<=X<1000'. The employment is '1<=X<4'. The installment_commitment is 3. The other_parties is none. The residence_since is 3. The property_magnitude is car. The age is 57. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&gt;=200'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1258</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>3</td>
      <td>none</td>
      <td>3</td>
      <td>car</td>
      <td>57</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '>=200' & 24 & 'existing paid' & radio/tv & 1258 & '500<=X<1000' & '1<=X<4' & 3 & none & 3 & car & 57 & none & own & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 57, 'checking_status': ""'>=200'"", 'credit_amount': 1258, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 3, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 3, 'savings_status': ""'500<=X<1000'""}",A 57-year-old female German Foreigner is applying for a loan of 1258 credits for 24 months for radio or tv purposes. She has a checking account with 200 Deutsche Mark or more and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. She has no other installment plans and 1 credits at this bank. She is employed for more than one year but less than four years and is recognized as an unskilled resident individual. She has lived in a self-owned house for 3 years.  She owns a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
23,female,'no checking',12,'existing paid',radio/tv,2073,'100<=X<500','1<=X<4',4,'co applicant',2,'real estate',28,none,own,1,skilled,1,none,yes,good,"gender is female, checking_status is 'no checking', duration is 12, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 2073, savings_status is '100<=X<500', employment is '1<=X<4', installment_commitment is 4, other_parties is 'co applicant', residence_since is 2, property_magnitude is 'real estate', age is 28, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 2073
 - savings_status : '100<=X<500'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : 'co applicant'
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 28
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 12. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 2073. The savings_status is '100<=X<500'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is 'co applicant'. The residence_since is 2. The property_magnitude is 'real estate'. The age is 28. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>2073</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>'co applicant'</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>28</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 12 & 'existing paid' & radio/tv & 2073 & '100<=X<500' & '1<=X<4' & 4 & 'co applicant' & 2 & 'real estate' & 28 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 28, 'checking_status': ""'no checking'"", 'credit_amount': 2073, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': ""'co applicant'"", 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'100<=X<500'""}",A 28-year-old female German Foreigner is applying for a loan of 2073 credits for 12 months for radio or tv purposes. She has no checking account and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. She has duly paid back credits received from this bank till now. There co-applicant associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for more than one year but less than four years. She has lived in a self-owned house for 2 years.  She owns some real estate property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
24,female,'<0',21,'existing paid',radio/tv,2606,'<100','<1',4,none,4,'life insurance',28,none,rent,1,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is female, checking_status is '<0', duration is 21, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 2606, savings_status is '<100', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 28, other_payment_plans is none, housing is rent, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 21
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 2606
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 28
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 21. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 2606. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 28. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>21</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>2606</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>28</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 21 & 'existing paid' & radio/tv & 2606 & '<100' & '<1' & 4 & none & 4 & 'life insurance' & 28 & none & rent & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 28, 'checking_status': ""'<0'"", 'credit_amount': 2606, 'credit_history': ""'existing paid'"", 'duration': 21, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'<100'""}",A 28-year-old female German Foreigner is applying for a loan of 2606 credits for 21 months for radio or tv purposes. She has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for less than one years and is recognized as a highly qualified employee or is self employed or has managerial position. She has lived in a rented apartment for 4 years.  She owns life insurance property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
25,male,'no checking',12,'critical/other existing credit',education,2096,'<100','4<=X<7',2,none,3,'real estate',49,none,own,1,'unskilled resident',2,none,yes,good,"gender is male, checking_status is 'no checking', duration is 12, credit_history is 'critical/other existing credit', purpose is education, credit_amount is 2096, savings_status is '<100', employment is '4<=X<7', installment_commitment is 2, other_parties is none, residence_since is 3, property_magnitude is 'real estate', age is 49, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'critical/other existing credit'
 - purpose : education
 - credit_amount : 2096
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'real estate'
 - age : 49
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 12. The credit_history is 'critical/other existing credit'. The purpose is education. The credit_amount is 2096. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 2. The other_parties is none. The residence_since is 3. The property_magnitude is 'real estate'. The age is 49. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>12</td>
      <td>'critical/other existing credit'</td>
      <td>education</td>
      <td>2096</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>2</td>
      <td>none</td>
      <td>3</td>
      <td>'real estate'</td>
      <td>49</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 12 & 'critical/other existing credit' & education & 2096 & '<100' & '4<=X<7' & 2 & none & 3 & 'real estate' & 49 & none & own & 1 & 'unskilled resident' & 2 & none & yes \\
\end{tabular}
","{'age': 49, 'checking_status': ""'no checking'"", 'credit_amount': 2096, 'credit_history': ""'critical/other existing credit'"", 'duration': 12, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': ""'unskilled resident'"", 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'education', 'residence_since': 3, 'savings_status': ""'<100'""}",A 49-year-old male German Foreigner is applying for a loan of 2096 credits for 12 months for education purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for more than four years but less than seven years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 3 years.  He owns some real estate property. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
26,male,'no checking',12,'critical/other existing credit','new car',1255,'<100','>=7',4,none,4,'real estate',61,none,own,2,'unskilled resident',1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 12, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 1255, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 61, other_payment_plans is none, housing is own, existing_credits is 2, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 1255
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 61
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 12. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 1255. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 61. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>12</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>1255</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>61</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 12 & 'critical/other existing credit' & 'new car' & 1255 & '<100' & '>=7' & 4 & none & 4 & 'real estate' & 61 & none & own & 2 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 61, 'checking_status': ""'no checking'"", 'credit_amount': 1255, 'credit_history': ""'critical/other existing credit'"", 'duration': 12, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 61-year-old male German Foreigner is applying for a loan of 1255 credits for 12 months for new car purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 4 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
27,female,'no checking',9,'existing paid','domestic appliance',1236,'<100','<1',1,none,4,'real estate',23,none,rent,1,skilled,1,yes,yes,good,"gender is female, checking_status is 'no checking', duration is 9, credit_history is 'existing paid', purpose is 'domestic appliance', credit_amount is 1236, savings_status is '<100', employment is '<1', installment_commitment is 1, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 23, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 9
 - credit_history : 'existing paid'
 - purpose : 'domestic appliance'
 - credit_amount : 1236
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 23
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 9. The credit_history is 'existing paid'. The purpose is 'domestic appliance'. The credit_amount is 1236. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 1. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 23. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>9</td>
      <td>'existing paid'</td>
      <td>'domestic appliance'</td>
      <td>1236</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>1</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>23</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 9 & 'existing paid' & 'domestic appliance' & 1236 & '<100' & '<1' & 1 & none & 4 & 'real estate' & 23 & none & rent & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 23, 'checking_status': ""'no checking'"", 'credit_amount': 1236, 'credit_history': ""'existing paid'"", 'duration': 9, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': ""'domestic appliance'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 23-year-old female German Foreigner is applying for a loan of 1236 credits for 9 months for domestic appliance purposes. She has no checking account and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. She has no other installment plans and 1 credits at this bank. She is employed for less than one years. She has lived in a rented apartment for 4 years.  She owns some real estate property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
28,male,'no checking',24,'existing paid',radio/tv,1278,'<100','>=7',4,none,1,'real estate',36,none,own,1,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1278, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 1, property_magnitude is 'real estate', age is 36, other_payment_plans is none, housing is own, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1278
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'real estate'
 - age : 36
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 24. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1278. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 1. The property_magnitude is 'real estate'. The age is 36. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1278</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>1</td>
      <td>'real estate'</td>
      <td>36</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 24 & 'existing paid' & radio/tv & 1278 & '<100' & '>=7' & 4 & none & 1 & 'real estate' & 36 & none & own & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 36, 'checking_status': ""'no checking'"", 'credit_amount': 1278, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 1, 'savings_status': ""'<100'""}",A 36-year-old male German Foreigner is applying for a loan of 1278 credits for 24 months for radio or tv purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 1 years.  He owns some real estate property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
29,female,'<0',6,'existing paid','new car',1374,'no known savings',unemployed,4,none,3,'life insurance',75,none,own,1,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is female, checking_status is '<0', duration is 6, credit_history is 'existing paid', purpose is 'new car', credit_amount is 1374, savings_status is 'no known savings', employment is unemployed, installment_commitment is 4, other_parties is none, residence_since is 3, property_magnitude is 'life insurance', age is 75, other_payment_plans is none, housing is own, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 6
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 1374
 - savings_status : 'no known savings'
 - employment : unemployed
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'life insurance'
 - age : 75
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 6. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 1374. The savings_status is 'no known savings'. The employment is unemployed. The installment_commitment is 4. The other_parties is none. The residence_since is 3. The property_magnitude is 'life insurance'. The age is 75. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>6</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>1374</td>
      <td>'no known savings'</td>
      <td>unemployed</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>'life insurance'</td>
      <td>75</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 6 & 'existing paid' & 'new car' & 1374 & 'no known savings' & unemployed & 4 & none & 3 & 'life insurance' & 75 & none & own & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 75, 'checking_status': ""'<0'"", 'credit_amount': 1374, 'credit_history': ""'existing paid'"", 'duration': 6, 'employment': 'unemployed', 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': ""'new car'"", 'residence_since': 3, 'savings_status': ""'no known savings'""}",A 75-year-old female German Foreigner is applying for a loan of 1374 credits for 6 months for new car purposes. She has a checking account with 0 Deutsche Mark and no known savings. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is unemployed and is recognized as a highly qualified employee or is self employed or has managerial position. She has lived in a self-owned house for 3 years.  She owns life insurance property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
30,male,'>=200',10,'existing paid','new car',3949,'<100','<1',1,guarantor,1,'life insurance',37,none,own,1,'unskilled resident',2,none,yes,good,"gender is male, checking_status is '>=200', duration is 10, credit_history is 'existing paid', purpose is 'new car', credit_amount is 3949, savings_status is '<100', employment is '<1', installment_commitment is 1, other_parties is guarantor, residence_since is 1, property_magnitude is 'life insurance', age is 37, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '>=200'
 - duration : 10
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 3949
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 1
 - other_parties : guarantor
 - residence_since : 1
 - property_magnitude : 'life insurance'
 - age : 37
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '>=200'. The duration is 10. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 3949. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 1. The other_parties is guarantor. The residence_since is 1. The property_magnitude is 'life insurance'. The age is 37. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&gt;=200'</td>
      <td>10</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>3949</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>1</td>
      <td>guarantor</td>
      <td>1</td>
      <td>'life insurance'</td>
      <td>37</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '>=200' & 10 & 'existing paid' & 'new car' & 3949 & '<100' & '<1' & 1 & guarantor & 1 & 'life insurance' & 37 & none & own & 1 & 'unskilled resident' & 2 & none & yes \\
\end{tabular}
","{'age': 37, 'checking_status': ""'>=200'"", 'credit_amount': 3949, 'credit_history': ""'existing paid'"", 'duration': 10, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 1, 'job': ""'unskilled resident'"", 'num_dependents': 2, 'other_parties': 'guarantor', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': ""'new car'"", 'residence_since': 1, 'savings_status': ""'<100'""}",A 37-year-old male German Foreigner is applying for a loan of 3949 credits for 10 months for new car purposes. He has a checking account with 200 Deutsche Mark or more and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There is a guarantor associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 1 credits at this bank. He is employed for less than one years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 1 years.  He owns life insurance property. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
31,male,'no checking',12,'existing paid','new car',2390,'no known savings','>=7',4,none,3,car,50,none,own,1,skilled,1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 12, credit_history is 'existing paid', purpose is 'new car', credit_amount is 2390, savings_status is 'no known savings', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 3, property_magnitude is car, age is 50, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 2390
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : car
 - age : 50
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 12. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 2390. The savings_status is 'no known savings'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 3. The property_magnitude is car. The age is 50. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>2390</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>car</td>
      <td>50</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 12 & 'existing paid' & 'new car' & 2390 & 'no known savings' & '>=7' & 4 & none & 3 & car & 50 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 50, 'checking_status': ""'no checking'"", 'credit_amount': 2390, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 3, 'savings_status': ""'no known savings'""}",A 50-year-old male German Foreigner is applying for a loan of 2390 credits for 12 months for new car purposes. He has no checking account and no known savings. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 3 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
32,male,'0<=X<200',24,'existing paid','new car',1201,'<100','<1',4,none,1,'life insurance',26,none,own,1,skilled,1,none,yes,good,"gender is male, checking_status is '0<=X<200', duration is 24, credit_history is 'existing paid', purpose is 'new car', credit_amount is 1201, savings_status is '<100', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 1, property_magnitude is 'life insurance', age is 26, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 1201
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'life insurance'
 - age : 26
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 24. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 1201. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 1. The property_magnitude is 'life insurance'. The age is 26. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>1201</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>1</td>
      <td>'life insurance'</td>
      <td>26</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 24 & 'existing paid' & 'new car' & 1201 & '<100' & '<1' & 4 & none & 1 & 'life insurance' & 26 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 26, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1201, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': ""'new car'"", 'residence_since': 1, 'savings_status': ""'<100'""}",A 26-year-old male German Foreigner is applying for a loan of 1201 credits for 24 months for new car purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for less than one years. He has lived in a self-owned house for 1 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
33,female,'no checking',15,'critical/other existing credit',furniture/equipment,2788,'<100','4<=X<7',2,'co applicant',3,car,24,bank,own,2,skilled,1,none,yes,good,"gender is female, checking_status is 'no checking', duration is 15, credit_history is 'critical/other existing credit', purpose is furniture/equipment, credit_amount is 2788, savings_status is '<100', employment is '4<=X<7', installment_commitment is 2, other_parties is 'co applicant', residence_since is 3, property_magnitude is car, age is 24, other_payment_plans is bank, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 15
 - credit_history : 'critical/other existing credit'
 - purpose : furniture/equipment
 - credit_amount : 2788
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 2
 - other_parties : 'co applicant'
 - residence_since : 3
 - property_magnitude : car
 - age : 24
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 15. The credit_history is 'critical/other existing credit'. The purpose is furniture/equipment. The credit_amount is 2788. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 2. The other_parties is 'co applicant'. The residence_since is 3. The property_magnitude is car. The age is 24. The other_payment_plans is bank. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>15</td>
      <td>'critical/other existing credit'</td>
      <td>furniture/equipment</td>
      <td>2788</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>2</td>
      <td>'co applicant'</td>
      <td>3</td>
      <td>car</td>
      <td>24</td>
      <td>bank</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 15 & 'critical/other existing credit' & furniture/equipment & 2788 & '<100' & '4<=X<7' & 2 & 'co applicant' & 3 & car & 24 & bank & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 24, 'checking_status': ""'no checking'"", 'credit_amount': 2788, 'credit_history': ""'critical/other existing credit'"", 'duration': 15, 'employment': ""'4<=X<7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': ""'co applicant'"", 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'furniture/equipment', 'residence_since': 3, 'savings_status': ""'<100'""}",A 24-year-old female German Foreigner is applying for a loan of 2788 credits for 15 months for furniture or equipment purposes. She has no checking account and a savings acccount with less than 100 Deutsche Mark. She has critical account or has other credits existing but not at this bank. There co-applicant associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has other installment plans with a bank and 2 credits at this bank. She is employed for more than four years but less than seven years. She has lived in a self-owned house for 3 years.  She owns a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
34,male,'no checking',12,'critical/other existing credit',business,1264,'no known savings','>=7',4,none,4,'no known property',57,none,rent,1,'unskilled resident',1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 12, credit_history is 'critical/other existing credit', purpose is business, credit_amount is 1264, savings_status is 'no known savings', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 57, other_payment_plans is none, housing is rent, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'critical/other existing credit'
 - purpose : business
 - credit_amount : 1264
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 57
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 12. The credit_history is 'critical/other existing credit'. The purpose is business. The credit_amount is 1264. The savings_status is 'no known savings'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 57. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>12</td>
      <td>'critical/other existing credit'</td>
      <td>business</td>
      <td>1264</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>57</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 12 & 'critical/other existing credit' & business & 1264 & 'no known savings' & '>=7' & 4 & none & 4 & 'no known property' & 57 & none & rent & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 57, 'checking_status': ""'no checking'"", 'credit_amount': 1264, 'credit_history': ""'critical/other existing credit'"", 'duration': 12, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'no known property'"", 'purpose': 'business', 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 57-year-old male German Foreigner is applying for a loan of 1264 credits for 12 months for business purposes. He has no checking account and no known savings. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years and is recognized as an unskilled resident individual. He has lived in a rented apartment for 4 years.  He owns no known property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
35,male,'<0',24,'existing paid',furniture/equipment,4020,'<100','1<=X<4',2,none,2,car,27,stores,own,1,skilled,1,none,yes,good,"gender is male, checking_status is '<0', duration is 24, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 4020, savings_status is '<100', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 2, property_magnitude is car, age is 27, other_payment_plans is stores, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 4020
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 27
 - other_payment_plans : stores
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 24. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 4020. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 27. The other_payment_plans is stores. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>4020</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>27</td>
      <td>stores</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 24 & 'existing paid' & furniture/equipment & 4020 & '<100' & '1<=X<4' & 2 & none & 2 & car & 27 & stores & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 27, 'checking_status': ""'<0'"", 'credit_amount': 4020, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'stores', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'furniture/equipment', 'residence_since': 2, 'savings_status': ""'<100'""}",A 27-year-old male German Foreigner is applying for a loan of 4020 credits for 24 months for furniture or equipment purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has other installment plans with a store and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 2 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
36,male,'no checking',9,'existing paid','new car',2507,'500<=X<1000','>=7',2,none,4,'no known property',51,none,'for free',1,'unskilled resident',1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 9, credit_history is 'existing paid', purpose is 'new car', credit_amount is 2507, savings_status is '500<=X<1000', employment is '>=7', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 51, other_payment_plans is none, housing is 'for free', existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 9
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 2507
 - savings_status : '500<=X<1000'
 - employment : '>=7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 51
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 9. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 2507. The savings_status is '500<=X<1000'. The employment is '>=7'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 51. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>9</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>2507</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>'&gt;=7'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>51</td>
      <td>none</td>
      <td>'for free'</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 9 & 'existing paid' & 'new car' & 2507 & '500<=X<1000' & '>=7' & 2 & none & 4 & 'no known property' & 51 & none & 'for free' & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 51, 'checking_status': ""'no checking'"", 'credit_amount': 2507, 'credit_history': ""'existing paid'"", 'duration': 9, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 2, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'no known property'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'500<=X<1000'""}",A 51-year-old male German Foreigner is applying for a loan of 2507 credits for 9 months for new car purposes. He has no checking account and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years and is recognized as an unskilled resident individual. He has lived in a free accommodation for 4 years.  He owns no known property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
37,male,'no checking',24,'existing paid',radio/tv,2397,'500<=X<1000','>=7',3,none,2,car,35,bank,own,2,skilled,1,yes,yes,bad,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 2397, savings_status is '500<=X<1000', employment is '>=7', installment_commitment is 3, other_parties is none, residence_since is 2, property_magnitude is car, age is 35, other_payment_plans is bank, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 2397
 - savings_status : '500<=X<1000'
 - employment : '>=7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 35
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 24. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 2397. The savings_status is '500<=X<1000'. The employment is '>=7'. The installment_commitment is 3. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 35. The other_payment_plans is bank. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>2397</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>'&gt;=7'</td>
      <td>3</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>35</td>
      <td>bank</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 24 & 'existing paid' & radio/tv & 2397 & '500<=X<1000' & '>=7' & 3 & none & 2 & car & 35 & bank & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 35, 'checking_status': ""'no checking'"", 'credit_amount': 2397, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'500<=X<1000'""}",A 35-year-old male German Foreigner is applying for a loan of 2397 credits for 24 months for radio or tv purposes. He has no checking account and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has other installment plans with a bank and 2 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 2 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
38,male,'0<=X<200',27,'existing paid',business,3915,'<100','1<=X<4',4,none,2,car,36,none,own,1,skilled,2,yes,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 27, credit_history is 'existing paid', purpose is business, credit_amount is 3915, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is car, age is 36, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 2, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 27
 - credit_history : 'existing paid'
 - purpose : business
 - credit_amount : 3915
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 36
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 2
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 27. The credit_history is 'existing paid'. The purpose is business. The credit_amount is 3915. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 36. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 2. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>27</td>
      <td>'existing paid'</td>
      <td>business</td>
      <td>3915</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>36</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>2</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 27 & 'existing paid' & business & 3915 & '<100' & '1<=X<4' & 4 & none & 2 & car & 36 & none & own & 1 & skilled & 2 & yes & yes \\
\end{tabular}
","{'age': 36, 'checking_status': ""'0<=X<200'"", 'credit_amount': 3915, 'credit_history': ""'existing paid'"", 'duration': 27, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'business', 'residence_since': 2, 'savings_status': ""'<100'""}",A 36-year-old male German Foreigner is applying for a loan of 3915 credits for 27 months for business purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 2 years.  He owns a car. He owns a telephone and has 2 people that he is liable to provide maintenance for.
39,female,'no checking',48,'critical/other existing credit','used car',11590,'100<=X<500','1<=X<4',2,none,4,car,24,bank,rent,2,'unskilled resident',1,none,yes,bad,"gender is female, checking_status is 'no checking', duration is 48, credit_history is 'critical/other existing credit', purpose is 'used car', credit_amount is 11590, savings_status is '100<=X<500', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is car, age is 24, other_payment_plans is bank, housing is rent, existing_credits is 2, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 48
 - credit_history : 'critical/other existing credit'
 - purpose : 'used car'
 - credit_amount : 11590
 - savings_status : '100<=X<500'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 24
 - other_payment_plans : bank
 - housing : rent
 - existing_credits : 2
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 48. The credit_history is 'critical/other existing credit'. The purpose is 'used car'. The credit_amount is 11590. The savings_status is '100<=X<500'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 24. The other_payment_plans is bank. The housing is rent. The existing_credits is 2. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>48</td>
      <td>'critical/other existing credit'</td>
      <td>'used car'</td>
      <td>11590</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>24</td>
      <td>bank</td>
      <td>rent</td>
      <td>2</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 48 & 'critical/other existing credit' & 'used car' & 11590 & '100<=X<500' & '1<=X<4' & 2 & none & 4 & car & 24 & bank & rent & 2 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 24, 'checking_status': ""'no checking'"", 'credit_amount': 11590, 'credit_history': ""'critical/other existing credit'"", 'duration': 48, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 2, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'100<=X<500'""}",A 24-year-old female German Foreigner is applying for a loan of 11590 credits for 48 months for used car purposes. She has no checking account and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has other installment plans with a bank and 2 credits at this bank. She is employed for more than one year but less than four years and is recognized as an unskilled resident individual. She has lived in a rented apartment for 4 years.  She owns a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
40,male,'<0',42,'existing paid',furniture/equipment,7882,'<100','4<=X<7',2,guarantor,4,'life insurance',45,none,'for free',1,skilled,2,none,yes,good,"gender is male, checking_status is '<0', duration is 42, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 7882, savings_status is '<100', employment is '4<=X<7', installment_commitment is 2, other_parties is guarantor, residence_since is 4, property_magnitude is 'life insurance', age is 45, other_payment_plans is none, housing is 'for free', existing_credits is 1, job is skilled, num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 42
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 7882
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 2
 - other_parties : guarantor
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 45
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 1
 - job : skilled
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 42. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 7882. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 2. The other_parties is guarantor. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 45. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 1. The job is skilled. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>42</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>7882</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>2</td>
      <td>guarantor</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>45</td>
      <td>none</td>
      <td>'for free'</td>
      <td>1</td>
      <td>skilled</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 42 & 'existing paid' & furniture/equipment & 7882 & '<100' & '4<=X<7' & 2 & guarantor & 4 & 'life insurance' & 45 & none & 'for free' & 1 & skilled & 2 & none & yes \\
\end{tabular}
","{'age': 45, 'checking_status': ""'<0'"", 'credit_amount': 7882, 'credit_history': ""'existing paid'"", 'duration': 42, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'guarantor', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'<100'""}",A 45-year-old male German Foreigner is applying for a loan of 7882 credits for 42 months for furniture or equipment purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There is a guarantor associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a free accommodation for 4 years.  He owns life insurance property. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
41,male,'no checking',12,'critical/other existing credit','new car',1495,'<100','>=7',4,none,1,'real estate',38,none,own,2,'unskilled resident',2,none,yes,good,"gender is male, checking_status is 'no checking', duration is 12, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 1495, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 1, property_magnitude is 'real estate', age is 38, other_payment_plans is none, housing is own, existing_credits is 2, job is 'unskilled resident', num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 1495
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'real estate'
 - age : 38
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : 'unskilled resident'
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 12. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 1495. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 1. The property_magnitude is 'real estate'. The age is 38. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is 'unskilled resident'. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>12</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>1495</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>1</td>
      <td>'real estate'</td>
      <td>38</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>'unskilled resident'</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 12 & 'critical/other existing credit' & 'new car' & 1495 & '<100' & '>=7' & 4 & none & 1 & 'real estate' & 38 & none & own & 2 & 'unskilled resident' & 2 & none & yes \\
\end{tabular}
","{'age': 38, 'checking_status': ""'no checking'"", 'credit_amount': 1495, 'credit_history': ""'critical/other existing credit'"", 'duration': 12, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 1, 'savings_status': ""'<100'""}",A 38-year-old male German Foreigner is applying for a loan of 1495 credits for 12 months for new car purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 1 years.  He owns some real estate property. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
42,male,'no checking',24,'existing paid','new car',2255,'no known savings','<1',4,none,1,'life insurance',54,none,own,1,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'existing paid', purpose is 'new car', credit_amount is 2255, savings_status is 'no known savings', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 1, property_magnitude is 'life insurance', age is 54, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 2255
 - savings_status : 'no known savings'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'life insurance'
 - age : 54
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 24. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 2255. The savings_status is 'no known savings'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 1. The property_magnitude is 'life insurance'. The age is 54. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>2255</td>
      <td>'no known savings'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>1</td>
      <td>'life insurance'</td>
      <td>54</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 24 & 'existing paid' & 'new car' & 2255 & 'no known savings' & '<1' & 4 & none & 1 & 'life insurance' & 54 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 54, 'checking_status': ""'no checking'"", 'credit_amount': 2255, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': ""'new car'"", 'residence_since': 1, 'savings_status': ""'no known savings'""}",A 54-year-old male German Foreigner is applying for a loan of 2255 credits for 24 months for new car purposes. He has no checking account and no known savings. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for less than one years. He has lived in a self-owned house for 1 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
43,male,'0<=X<200',9,'existing paid','new car',1549,'no known savings','<1',4,none,2,'real estate',35,none,own,1,'unemp/unskilled non res',1,none,yes,good,"gender is male, checking_status is '0<=X<200', duration is 9, credit_history is 'existing paid', purpose is 'new car', credit_amount is 1549, savings_status is 'no known savings', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 35, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unemp/unskilled non res', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 9
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 1549
 - savings_status : 'no known savings'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 35
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unemp/unskilled non res'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 9. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 1549. The savings_status is 'no known savings'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 35. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unemp/unskilled non res'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>9</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>1549</td>
      <td>'no known savings'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>35</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unemp/unskilled non res'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 9 & 'existing paid' & 'new car' & 1549 & 'no known savings' & '<1' & 4 & none & 2 & 'real estate' & 35 & none & own & 1 & 'unemp/unskilled non res' & 1 & none & yes \\
\end{tabular}
","{'age': 35, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1549, 'credit_history': ""'existing paid'"", 'duration': 9, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'unemp/unskilled non res'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'no known savings'""}",A 35-year-old male German Foreigner is applying for a loan of 1549 credits for 9 months for new car purposes. He has a checking account with less than 200 Deutsche Mark and no known savings. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for less than one years and is recognized as an unemployed or unskilled non-resident individual. He has lived in a self-owned house for 2 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
44,female,'no checking',30,'existing paid','used car',4811,'no known savings','4<=X<7',2,none,4,'life insurance',24,stores,rent,1,'unskilled resident',1,none,yes,good,"gender is female, checking_status is 'no checking', duration is 30, credit_history is 'existing paid', purpose is 'used car', credit_amount is 4811, savings_status is 'no known savings', employment is '4<=X<7', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 24, other_payment_plans is stores, housing is rent, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 30
 - credit_history : 'existing paid'
 - purpose : 'used car'
 - credit_amount : 4811
 - savings_status : 'no known savings'
 - employment : '4<=X<7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 24
 - other_payment_plans : stores
 - housing : rent
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 30. The credit_history is 'existing paid'. The purpose is 'used car'. The credit_amount is 4811. The savings_status is 'no known savings'. The employment is '4<=X<7'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 24. The other_payment_plans is stores. The housing is rent. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>30</td>
      <td>'existing paid'</td>
      <td>'used car'</td>
      <td>4811</td>
      <td>'no known savings'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>24</td>
      <td>stores</td>
      <td>rent</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 30 & 'existing paid' & 'used car' & 4811 & 'no known savings' & '4<=X<7' & 2 & none & 4 & 'life insurance' & 24 & stores & rent & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 24, 'checking_status': ""'no checking'"", 'credit_amount': 4811, 'credit_history': ""'existing paid'"", 'duration': 30, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 2, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'stores', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 24-year-old female German Foreigner is applying for a loan of 4811 credits for 30 months for used car purposes. She has no checking account and no known savings. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has other installment plans with a store and 1 credits at this bank. She is employed for more than four years but less than seven years and is recognized as an unskilled resident individual. She has lived in a rented apartment for 4 years.  She owns life insurance property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
45,male,'0<=X<200',14,'existing paid',business,1410,'500<=X<1000','>=7',1,none,2,'real estate',35,none,own,1,skilled,1,yes,yes,good,"gender is male, checking_status is '0<=X<200', duration is 14, credit_history is 'existing paid', purpose is business, credit_amount is 1410, savings_status is '500<=X<1000', employment is '>=7', installment_commitment is 1, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 35, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 14
 - credit_history : 'existing paid'
 - purpose : business
 - credit_amount : 1410
 - savings_status : '500<=X<1000'
 - employment : '>=7'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 35
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 14. The credit_history is 'existing paid'. The purpose is business. The credit_amount is 1410. The savings_status is '500<=X<1000'. The employment is '>=7'. The installment_commitment is 1. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 35. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>14</td>
      <td>'existing paid'</td>
      <td>business</td>
      <td>1410</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>'&gt;=7'</td>
      <td>1</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>35</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 14 & 'existing paid' & business & 1410 & '500<=X<1000' & '>=7' & 1 & none & 2 & 'real estate' & 35 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 35, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1410, 'credit_history': ""'existing paid'"", 'duration': 14, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': 'business', 'residence_since': 2, 'savings_status': ""'500<=X<1000'""}",A 35-year-old male German Foreigner is applying for a loan of 1410 credits for 14 months for business purposes. He has a checking account with less than 200 Deutsche Mark and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 2 years.  He owns some real estate property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
46,male,'no checking',5,'existing paid',business,3448,'<100','4<=X<7',1,none,4,'real estate',74,none,own,1,'unskilled resident',1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 5, credit_history is 'existing paid', purpose is business, credit_amount is 3448, savings_status is '<100', employment is '4<=X<7', installment_commitment is 1, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 74, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 5
 - credit_history : 'existing paid'
 - purpose : business
 - credit_amount : 3448
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 74
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 5. The credit_history is 'existing paid'. The purpose is business. The credit_amount is 3448. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 1. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 74. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>5</td>
      <td>'existing paid'</td>
      <td>business</td>
      <td>3448</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>1</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>74</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 5 & 'existing paid' & business & 3448 & '<100' & '4<=X<7' & 1 & none & 4 & 'real estate' & 74 & none & own & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 74, 'checking_status': ""'no checking'"", 'credit_amount': 3448, 'credit_history': ""'existing paid'"", 'duration': 5, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 1, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'business', 'residence_since': 4, 'savings_status': ""'<100'""}",A 74-year-old male German Foreigner is applying for a loan of 3448 credits for 5 months for business purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 1 credits at this bank. He is employed for more than four years but less than seven years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 4 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
47,male,'0<=X<200',11,'delayed previously',radio/tv,4771,'<100','4<=X<7',2,none,4,'life insurance',51,none,own,1,skilled,1,none,yes,good,"gender is male, checking_status is '0<=X<200', duration is 11, credit_history is 'delayed previously', purpose is radio/tv, credit_amount is 4771, savings_status is '<100', employment is '4<=X<7', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 51, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 11
 - credit_history : 'delayed previously'
 - purpose : radio/tv
 - credit_amount : 4771
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 51
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 11. The credit_history is 'delayed previously'. The purpose is radio/tv. The credit_amount is 4771. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 51. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>11</td>
      <td>'delayed previously'</td>
      <td>radio/tv</td>
      <td>4771</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>51</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 11 & 'delayed previously' & radio/tv & 4771 & '<100' & '4<=X<7' & 2 & none & 4 & 'life insurance' & 51 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 51, 'checking_status': ""'0<=X<200'"", 'credit_amount': 4771, 'credit_history': ""'delayed previously'"", 'duration': 11, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'<100'""}",A 51-year-old male German Foreigner is applying for a loan of 4771 credits for 11 months for radio or tv purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 4 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
48,male,'<0',10,'existing paid',radio/tv,2315,'<100','>=7',3,none,4,'real estate',52,none,own,1,'unskilled resident',1,none,yes,good,"gender is male, checking_status is '<0', duration is 10, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 2315, savings_status is '<100', employment is '>=7', installment_commitment is 3, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 52, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 10
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 2315
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 52
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 10. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 2315. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 3. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 52. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>10</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>2315</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>3</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>52</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 10 & 'existing paid' & radio/tv & 2315 & '<100' & '>=7' & 3 & none & 4 & 'real estate' & 52 & none & own & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 52, 'checking_status': ""'<0'"", 'credit_amount': 2315, 'credit_history': ""'existing paid'"", 'duration': 10, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'<100'""}",A 52-year-old male German Foreigner is applying for a loan of 2315 credits for 10 months for radio or tv purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 4 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
49,male,'<0',48,'existing paid','used car',4788,'<100','4<=X<7',4,none,3,'life insurance',26,none,own,1,skilled,2,none,yes,good,"gender is male, checking_status is '<0', duration is 48, credit_history is 'existing paid', purpose is 'used car', credit_amount is 4788, savings_status is '<100', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 3, property_magnitude is 'life insurance', age is 26, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 48
 - credit_history : 'existing paid'
 - purpose : 'used car'
 - credit_amount : 4788
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'life insurance'
 - age : 26
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 48. The credit_history is 'existing paid'. The purpose is 'used car'. The credit_amount is 4788. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is none. The residence_since is 3. The property_magnitude is 'life insurance'. The age is 26. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>48</td>
      <td>'existing paid'</td>
      <td>'used car'</td>
      <td>4788</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>'life insurance'</td>
      <td>26</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 48 & 'existing paid' & 'used car' & 4788 & '<100' & '4<=X<7' & 4 & none & 3 & 'life insurance' & 26 & none & own & 1 & skilled & 2 & none & yes \\
\end{tabular}
","{'age': 26, 'checking_status': ""'<0'"", 'credit_amount': 4788, 'credit_history': ""'existing paid'"", 'duration': 48, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': ""'used car'"", 'residence_since': 3, 'savings_status': ""'<100'""}",A 26-year-old male German Foreigner is applying for a loan of 4788 credits for 48 months for used car purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 3 years.  He owns life insurance property. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
50,female,'no checking',18,'existing paid',business,1568,'100<=X<500','1<=X<4',3,none,4,'life insurance',24,none,rent,1,'unskilled resident',1,none,yes,good,"gender is female, checking_status is 'no checking', duration is 18, credit_history is 'existing paid', purpose is business, credit_amount is 1568, savings_status is '100<=X<500', employment is '1<=X<4', installment_commitment is 3, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 24, other_payment_plans is none, housing is rent, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : business
 - credit_amount : 1568
 - savings_status : '100<=X<500'
 - employment : '1<=X<4'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 24
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 18. The credit_history is 'existing paid'. The purpose is business. The credit_amount is 1568. The savings_status is '100<=X<500'. The employment is '1<=X<4'. The installment_commitment is 3. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 24. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>18</td>
      <td>'existing paid'</td>
      <td>business</td>
      <td>1568</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>3</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>24</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 18 & 'existing paid' & business & 1568 & '100<=X<500' & '1<=X<4' & 3 & none & 4 & 'life insurance' & 24 & none & rent & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 24, 'checking_status': ""'no checking'"", 'credit_amount': 1568, 'credit_history': ""'existing paid'"", 'duration': 18, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 3, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'business', 'residence_since': 4, 'savings_status': ""'100<=X<500'""}",A 24-year-old female German Foreigner is applying for a loan of 1568 credits for 18 months for business purposes. She has no checking account and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. She has no other installment plans and 1 credits at this bank. She is employed for more than one year but less than four years and is recognized as an unskilled resident individual. She has lived in a rented apartment for 4 years.  She owns life insurance property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
51,male,'no checking',15,'all paid',radio/tv,1569,'100<=X<500','>=7',4,none,4,car,34,bank,own,1,'unskilled resident',2,none,yes,good,"gender is male, checking_status is 'no checking', duration is 15, credit_history is 'all paid', purpose is radio/tv, credit_amount is 1569, savings_status is '100<=X<500', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is car, age is 34, other_payment_plans is bank, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 15
 - credit_history : 'all paid'
 - purpose : radio/tv
 - credit_amount : 1569
 - savings_status : '100<=X<500'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 34
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 15. The credit_history is 'all paid'. The purpose is radio/tv. The credit_amount is 1569. The savings_status is '100<=X<500'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 34. The other_payment_plans is bank. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>15</td>
      <td>'all paid'</td>
      <td>radio/tv</td>
      <td>1569</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>34</td>
      <td>bank</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 15 & 'all paid' & radio/tv & 1569 & '100<=X<500' & '>=7' & 4 & none & 4 & car & 34 & bank & own & 1 & 'unskilled resident' & 2 & none & yes \\
\end{tabular}
","{'age': 34, 'checking_status': ""'no checking'"", 'credit_amount': 1569, 'credit_history': ""'all paid'"", 'duration': 15, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'100<=X<500'""}",A 34-year-old male German Foreigner is applying for a loan of 1569 credits for 15 months for radio or tv purposes. He has no checking account and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. He has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a bank and 1 credits at this bank. He is employed for more than seven years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 4 years.  He owns a car. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
52,male,'<0',40,'critical/other existing credit',education,5998,'<100','1<=X<4',4,none,3,'no known property',27,bank,own,1,skilled,1,yes,yes,bad,"gender is male, checking_status is '<0', duration is 40, credit_history is 'critical/other existing credit', purpose is education, credit_amount is 5998, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 3, property_magnitude is 'no known property', age is 27, other_payment_plans is bank, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 40
 - credit_history : 'critical/other existing credit'
 - purpose : education
 - credit_amount : 5998
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'no known property'
 - age : 27
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 40. The credit_history is 'critical/other existing credit'. The purpose is education. The credit_amount is 5998. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 3. The property_magnitude is 'no known property'. The age is 27. The other_payment_plans is bank. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>40</td>
      <td>'critical/other existing credit'</td>
      <td>education</td>
      <td>5998</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>'no known property'</td>
      <td>27</td>
      <td>bank</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 40 & 'critical/other existing credit' & education & 5998 & '<100' & '1<=X<4' & 4 & none & 3 & 'no known property' & 27 & bank & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 27, 'checking_status': ""'<0'"", 'credit_amount': 5998, 'credit_history': ""'critical/other existing credit'"", 'duration': 40, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': 'education', 'residence_since': 3, 'savings_status': ""'<100'""}",A 27-year-old male German Foreigner is applying for a loan of 5998 credits for 40 months for education purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a bank and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 3 years.  He owns no known property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
53,male,'no checking',18,'critical/other existing credit',radio/tv,1169,'no known savings','1<=X<4',4,none,3,'life insurance',29,none,own,2,skilled,1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 18, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 1169, savings_status is 'no known savings', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 3, property_magnitude is 'life insurance', age is 29, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 18
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 1169
 - savings_status : 'no known savings'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'life insurance'
 - age : 29
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 18. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 1169. The savings_status is 'no known savings'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 3. The property_magnitude is 'life insurance'. The age is 29. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>18</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>1169</td>
      <td>'no known savings'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>'life insurance'</td>
      <td>29</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 18 & 'critical/other existing credit' & radio/tv & 1169 & 'no known savings' & '1<=X<4' & 4 & none & 3 & 'life insurance' & 29 & none & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 29, 'checking_status': ""'no checking'"", 'credit_amount': 1169, 'credit_history': ""'critical/other existing credit'"", 'duration': 18, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': 'radio/tv', 'residence_since': 3, 'savings_status': ""'no known savings'""}",A 29-year-old male German Foreigner is applying for a loan of 1169 credits for 18 months for radio or tv purposes. He has no checking account and no known savings. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 3 years.  He owns life insurance property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
54,male,'0<=X<200',12,'existing paid','new car',1223,'<100','>=7',1,none,1,'real estate',46,none,rent,2,skilled,1,none,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 12, credit_history is 'existing paid', purpose is 'new car', credit_amount is 1223, savings_status is '<100', employment is '>=7', installment_commitment is 1, other_parties is none, residence_since is 1, property_magnitude is 'real estate', age is 46, other_payment_plans is none, housing is rent, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 1223
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'real estate'
 - age : 46
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 12. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 1223. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 1. The other_parties is none. The residence_since is 1. The property_magnitude is 'real estate'. The age is 46. The other_payment_plans is none. The housing is rent. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>1223</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>1</td>
      <td>none</td>
      <td>1</td>
      <td>'real estate'</td>
      <td>46</td>
      <td>none</td>
      <td>rent</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 12 & 'existing paid' & 'new car' & 1223 & '<100' & '>=7' & 1 & none & 1 & 'real estate' & 46 & none & rent & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 46, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1223, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 1, 'savings_status': ""'<100'""}",A 46-year-old male German Foreigner is applying for a loan of 1223 credits for 12 months for new car purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years. He has lived in a rented apartment for 1 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
55,male,'<0',18,'existing paid',furniture/equipment,2659,'>=1000','1<=X<4',4,none,2,car,28,none,own,1,skilled,1,none,yes,good,"gender is male, checking_status is '<0', duration is 18, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 2659, savings_status is '>=1000', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is car, age is 28, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 2659
 - savings_status : '>=1000'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 28
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 18. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 2659. The savings_status is '>=1000'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 28. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>18</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>2659</td>
      <td>'&gt;=1000'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>28</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 18 & 'existing paid' & furniture/equipment & 2659 & '>=1000' & '1<=X<4' & 4 & none & 2 & car & 28 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 28, 'checking_status': ""'<0'"", 'credit_amount': 2659, 'credit_history': ""'existing paid'"", 'duration': 18, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'furniture/equipment', 'residence_since': 2, 'savings_status': ""'>=1000'""}",A 28-year-old male German Foreigner is applying for a loan of 2659 credits for 18 months for furniture or equipment purposes. He has a checking account with 0 Deutsche Mark and a savings with 1000 Deutsche Mark or more. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 2 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
56,male,'no checking',6,'critical/other existing credit',radio/tv,700,'no known savings','>=7',4,none,4,'no known property',36,none,'for free',2,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 6, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 700, savings_status is 'no known savings', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 36, other_payment_plans is none, housing is 'for free', existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 6
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 700
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 36
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 6. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 700. The savings_status is 'no known savings'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 36. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>6</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>700</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>36</td>
      <td>none</td>
      <td>'for free'</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 6 & 'critical/other existing credit' & radio/tv & 700 & 'no known savings' & '>=7' & 4 & none & 4 & 'no known property' & 36 & none & 'for free' & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 36, 'checking_status': ""'no checking'"", 'credit_amount': 700, 'credit_history': ""'critical/other existing credit'"", 'duration': 6, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'no known property'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 36-year-old male German Foreigner is applying for a loan of 700 credits for 6 months for radio or tv purposes. He has no checking account and no known savings. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years. He has lived in a free accommodation for 4 years.  He owns no known property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
57,male,'no checking',10,'existing paid','used car',2848,'100<=X<500','1<=X<4',1,'co applicant',2,'real estate',32,none,own,1,skilled,2,none,yes,good,"gender is male, checking_status is 'no checking', duration is 10, credit_history is 'existing paid', purpose is 'used car', credit_amount is 2848, savings_status is '100<=X<500', employment is '1<=X<4', installment_commitment is 1, other_parties is 'co applicant', residence_since is 2, property_magnitude is 'real estate', age is 32, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 10
 - credit_history : 'existing paid'
 - purpose : 'used car'
 - credit_amount : 2848
 - savings_status : '100<=X<500'
 - employment : '1<=X<4'
 - installment_commitment : 1
 - other_parties : 'co applicant'
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 32
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 10. The credit_history is 'existing paid'. The purpose is 'used car'. The credit_amount is 2848. The savings_status is '100<=X<500'. The employment is '1<=X<4'. The installment_commitment is 1. The other_parties is 'co applicant'. The residence_since is 2. The property_magnitude is 'real estate'. The age is 32. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>10</td>
      <td>'existing paid'</td>
      <td>'used car'</td>
      <td>2848</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>1</td>
      <td>'co applicant'</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>32</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 10 & 'existing paid' & 'used car' & 2848 & '100<=X<500' & '1<=X<4' & 1 & 'co applicant' & 2 & 'real estate' & 32 & none & own & 1 & skilled & 2 & none & yes \\
\end{tabular}
","{'age': 32, 'checking_status': ""'no checking'"", 'credit_amount': 2848, 'credit_history': ""'existing paid'"", 'duration': 10, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 2, 'other_parties': ""'co applicant'"", 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'used car'"", 'residence_since': 2, 'savings_status': ""'100<=X<500'""}",A 32-year-old male German Foreigner is applying for a loan of 2848 credits for 10 months for used car purposes. He has no checking account and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. He has duly paid back credits received from this bank till now. There co-applicant associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 2 years.  He owns some real estate property. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
58,female,'<0',9,'existing paid',radio/tv,1366,'<100','<1',3,none,4,'life insurance',22,none,rent,1,skilled,1,none,yes,bad,"gender is female, checking_status is '<0', duration is 9, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1366, savings_status is '<100', employment is '<1', installment_commitment is 3, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 22, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 9
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1366
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 22
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 9. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1366. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 3. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 22. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>9</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1366</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>3</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>22</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 9 & 'existing paid' & radio/tv & 1366 & '<100' & '<1' & 3 & none & 4 & 'life insurance' & 22 & none & rent & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 22, 'checking_status': ""'<0'"", 'credit_amount': 1366, 'credit_history': ""'existing paid'"", 'duration': 9, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'<100'""}",A 22-year-old female German Foreigner is applying for a loan of 1366 credits for 9 months for radio or tv purposes. She has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. She has no other installment plans and 1 credits at this bank. She is employed for less than one years. She has lived in a rented apartment for 4 years.  She owns life insurance property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
59,male,'no checking',36,'existing paid',education,9055,'no known savings','1<=X<4',2,none,4,'no known property',35,none,'for free',1,'unskilled resident',2,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 36, credit_history is 'existing paid', purpose is education, credit_amount is 9055, savings_status is 'no known savings', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 35, other_payment_plans is none, housing is 'for free', existing_credits is 1, job is 'unskilled resident', num_dependents is 2, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 36
 - credit_history : 'existing paid'
 - purpose : education
 - credit_amount : 9055
 - savings_status : 'no known savings'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 35
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 2
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 36. The credit_history is 'existing paid'. The purpose is education. The credit_amount is 9055. The savings_status is 'no known savings'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 35. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 2. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>36</td>
      <td>'existing paid'</td>
      <td>education</td>
      <td>9055</td>
      <td>'no known savings'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>35</td>
      <td>none</td>
      <td>'for free'</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>2</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 36 & 'existing paid' & education & 9055 & 'no known savings' & '1<=X<4' & 2 & none & 4 & 'no known property' & 35 & none & 'for free' & 1 & 'unskilled resident' & 2 & yes & yes \\
\end{tabular}
","{'age': 35, 'checking_status': ""'no checking'"", 'credit_amount': 9055, 'credit_history': ""'existing paid'"", 'duration': 36, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 2, 'job': ""'unskilled resident'"", 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': 'education', 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 35-year-old male German Foreigner is applying for a loan of 9055 credits for 36 months for education purposes. He has no checking account and no known savings. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years and is recognized as an unskilled resident individual. He has lived in a free accommodation for 4 years.  He owns no known property. He owns a telephone and has 2 people that he is liable to provide maintenance for.
60,male,'<0',24,'existing paid',radio/tv,1987,'<100','1<=X<4',2,none,4,'real estate',21,none,rent,1,'unskilled resident',2,none,yes,bad,"gender is male, checking_status is '<0', duration is 24, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1987, savings_status is '<100', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 21, other_payment_plans is none, housing is rent, existing_credits is 1, job is 'unskilled resident', num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1987
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 21
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 24. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1987. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 21. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1987</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>21</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 24 & 'existing paid' & radio/tv & 1987 & '<100' & '1<=X<4' & 2 & none & 4 & 'real estate' & 21 & none & rent & 1 & 'unskilled resident' & 2 & none & yes \\
\end{tabular}
","{'age': 21, 'checking_status': ""'<0'"", 'credit_amount': 1987, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 2, 'job': ""'unskilled resident'"", 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'<100'""}",A 21-year-old male German Foreigner is applying for a loan of 1987 credits for 24 months for radio or tv purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years and is recognized as an unskilled resident individual. He has lived in a rented apartment for 4 years.  He owns some real estate property. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
61,male,'<0',24,'existing paid','used car',2924,'<100','1<=X<4',3,guarantor,4,'no known property',63,bank,own,1,skilled,2,yes,yes,good,"gender is male, checking_status is '<0', duration is 24, credit_history is 'existing paid', purpose is 'used car', credit_amount is 2924, savings_status is '<100', employment is '1<=X<4', installment_commitment is 3, other_parties is guarantor, residence_since is 4, property_magnitude is 'no known property', age is 63, other_payment_plans is bank, housing is own, existing_credits is 1, job is skilled, num_dependents is 2, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : 'used car'
 - credit_amount : 2924
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 3
 - other_parties : guarantor
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 63
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 2
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 24. The credit_history is 'existing paid'. The purpose is 'used car'. The credit_amount is 2924. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 3. The other_parties is guarantor. The residence_since is 4. The property_magnitude is 'no known property'. The age is 63. The other_payment_plans is bank. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 2. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>'used car'</td>
      <td>2924</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>3</td>
      <td>guarantor</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>63</td>
      <td>bank</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>2</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 24 & 'existing paid' & 'used car' & 2924 & '<100' & '1<=X<4' & 3 & guarantor & 4 & 'no known property' & 63 & bank & own & 1 & skilled & 2 & yes & yes \\
\end{tabular}
","{'age': 63, 'checking_status': ""'<0'"", 'credit_amount': 2924, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'guarantor', 'other_payment_plans': 'bank', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 63-year-old male German Foreigner is applying for a loan of 2924 credits for 24 months for used car purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There is a guarantor associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has other installment plans with a bank and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 4 years.  He owns no known property. He owns a telephone and has 2 people that he is liable to provide maintenance for.
62,male,'0<=X<200',18,'existing paid',business,2622,'100<=X<500','1<=X<4',4,none,4,car,34,none,own,1,skilled,1,none,yes,good,"gender is male, checking_status is '0<=X<200', duration is 18, credit_history is 'existing paid', purpose is business, credit_amount is 2622, savings_status is '100<=X<500', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is car, age is 34, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : business
 - credit_amount : 2622
 - savings_status : '100<=X<500'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 34
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 18. The credit_history is 'existing paid'. The purpose is business. The credit_amount is 2622. The savings_status is '100<=X<500'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 34. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>18</td>
      <td>'existing paid'</td>
      <td>business</td>
      <td>2622</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>34</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 18 & 'existing paid' & business & 2622 & '100<=X<500' & '1<=X<4' & 4 & none & 4 & car & 34 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 34, 'checking_status': ""'0<=X<200'"", 'credit_amount': 2622, 'credit_history': ""'existing paid'"", 'duration': 18, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'business', 'residence_since': 4, 'savings_status': ""'100<=X<500'""}",A 34-year-old male German Foreigner is applying for a loan of 2622 credits for 18 months for business purposes. He has a checking account with less than 200 Deutsche Mark and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 4 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
63,male,'no checking',36,'critical/other existing credit',business,6304,'no known savings','>=7',4,none,4,'real estate',36,none,own,2,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 36, credit_history is 'critical/other existing credit', purpose is business, credit_amount is 6304, savings_status is 'no known savings', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 36, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 36
 - credit_history : 'critical/other existing credit'
 - purpose : business
 - credit_amount : 6304
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 36
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 36. The credit_history is 'critical/other existing credit'. The purpose is business. The credit_amount is 6304. The savings_status is 'no known savings'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 36. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>36</td>
      <td>'critical/other existing credit'</td>
      <td>business</td>
      <td>6304</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>36</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 36 & 'critical/other existing credit' & business & 6304 & 'no known savings' & '>=7' & 4 & none & 4 & 'real estate' & 36 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 36, 'checking_status': ""'no checking'"", 'credit_amount': 6304, 'credit_history': ""'critical/other existing credit'"", 'duration': 36, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'business', 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 36-year-old male German Foreigner is applying for a loan of 6304 credits for 36 months for business purposes. He has no checking account and no known savings. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 4 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
64,male,'no checking',36,'delayed previously',radio/tv,4463,'<100','1<=X<4',4,none,2,car,26,none,own,2,'high qualif/self emp/mgmt',1,yes,yes,bad,"gender is male, checking_status is 'no checking', duration is 36, credit_history is 'delayed previously', purpose is radio/tv, credit_amount is 4463, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is car, age is 26, other_payment_plans is none, housing is own, existing_credits is 2, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 36
 - credit_history : 'delayed previously'
 - purpose : radio/tv
 - credit_amount : 4463
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 26
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 36. The credit_history is 'delayed previously'. The purpose is radio/tv. The credit_amount is 4463. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 26. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>36</td>
      <td>'delayed previously'</td>
      <td>radio/tv</td>
      <td>4463</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>26</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 36 & 'delayed previously' & radio/tv & 4463 & '<100' & '1<=X<4' & 4 & none & 2 & car & 26 & none & own & 2 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 26, 'checking_status': ""'no checking'"", 'credit_amount': 4463, 'credit_history': ""'delayed previously'"", 'duration': 36, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 26-year-old male German Foreigner is applying for a loan of 4463 credits for 36 months for radio or tv purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than one year but less than four years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 2 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
65,male,'no checking',36,'existing paid',business,7409,'no known savings','>=7',3,none,2,'life insurance',37,none,own,2,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 36, credit_history is 'existing paid', purpose is business, credit_amount is 7409, savings_status is 'no known savings', employment is '>=7', installment_commitment is 3, other_parties is none, residence_since is 2, property_magnitude is 'life insurance', age is 37, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 36
 - credit_history : 'existing paid'
 - purpose : business
 - credit_amount : 7409
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 37
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 36. The credit_history is 'existing paid'. The purpose is business. The credit_amount is 7409. The savings_status is 'no known savings'. The employment is '>=7'. The installment_commitment is 3. The other_parties is none. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 37. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>36</td>
      <td>'existing paid'</td>
      <td>business</td>
      <td>7409</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>3</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>37</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 36 & 'existing paid' & business & 7409 & 'no known savings' & '>=7' & 3 & none & 2 & 'life insurance' & 37 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 37, 'checking_status': ""'no checking'"", 'credit_amount': 7409, 'credit_history': ""'existing paid'"", 'duration': 36, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'business', 'residence_since': 2, 'savings_status': ""'no known savings'""}",A 37-year-old male German Foreigner is applying for a loan of 7409 credits for 36 months for business purposes. He has no checking account and no known savings. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 2 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
66,male,'no checking',24,'delayed previously','new car',717,'no known savings','>=7',4,none,4,car,54,none,own,2,skilled,1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'delayed previously', purpose is 'new car', credit_amount is 717, savings_status is 'no known savings', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is car, age is 54, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'delayed previously'
 - purpose : 'new car'
 - credit_amount : 717
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 54
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 24. The credit_history is 'delayed previously'. The purpose is 'new car'. The credit_amount is 717. The savings_status is 'no known savings'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 54. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'delayed previously'</td>
      <td>'new car'</td>
      <td>717</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>54</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 24 & 'delayed previously' & 'new car' & 717 & 'no known savings' & '>=7' & 4 & none & 4 & car & 54 & none & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 54, 'checking_status': ""'no checking'"", 'credit_amount': 717, 'credit_history': ""'delayed previously'"", 'duration': 24, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 54-year-old male German Foreigner is applying for a loan of 717 credits for 24 months for new car purposes. He has no checking account and no known savings. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 4 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
67,male,'<0',20,'existing paid',furniture/equipment,2212,'no known savings','4<=X<7',4,none,4,car,39,none,own,1,skilled,1,yes,yes,good,"gender is male, checking_status is '<0', duration is 20, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 2212, savings_status is 'no known savings', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is car, age is 39, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 20
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 2212
 - savings_status : 'no known savings'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 39
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 20. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 2212. The savings_status is 'no known savings'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 39. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>20</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>2212</td>
      <td>'no known savings'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>39</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 20 & 'existing paid' & furniture/equipment & 2212 & 'no known savings' & '4<=X<7' & 4 & none & 4 & car & 39 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 39, 'checking_status': ""'<0'"", 'credit_amount': 2212, 'credit_history': ""'existing paid'"", 'duration': 20, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 39-year-old male German Foreigner is applying for a loan of 2212 credits for 20 months for furniture or equipment purposes. He has a checking account with 0 Deutsche Mark and no known savings. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 4 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
68,male,'<0',18,'all paid',furniture/equipment,1553,'<100','1<=X<4',4,none,3,car,44,bank,own,1,skilled,1,none,yes,bad,"gender is male, checking_status is '<0', duration is 18, credit_history is 'all paid', purpose is furniture/equipment, credit_amount is 1553, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 3, property_magnitude is car, age is 44, other_payment_plans is bank, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 18
 - credit_history : 'all paid'
 - purpose : furniture/equipment
 - credit_amount : 1553
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : car
 - age : 44
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 18. The credit_history is 'all paid'. The purpose is furniture/equipment. The credit_amount is 1553. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 3. The property_magnitude is car. The age is 44. The other_payment_plans is bank. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>18</td>
      <td>'all paid'</td>
      <td>furniture/equipment</td>
      <td>1553</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>car</td>
      <td>44</td>
      <td>bank</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 18 & 'all paid' & furniture/equipment & 1553 & '<100' & '1<=X<4' & 4 & none & 3 & car & 44 & bank & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 44, 'checking_status': ""'<0'"", 'credit_amount': 1553, 'credit_history': ""'all paid'"", 'duration': 18, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'furniture/equipment', 'residence_since': 3, 'savings_status': ""'<100'""}",A 44-year-old male German Foreigner is applying for a loan of 1553 credits for 18 months for furniture or equipment purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a bank and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 3 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
69,female,'0<=X<200',18,'existing paid','used car',12976,'<100',unemployed,3,none,4,'no known property',38,none,'for free',1,'high qualif/self emp/mgmt',1,yes,yes,bad,"gender is female, checking_status is '0<=X<200', duration is 18, credit_history is 'existing paid', purpose is 'used car', credit_amount is 12976, savings_status is '<100', employment is unemployed, installment_commitment is 3, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 38, other_payment_plans is none, housing is 'for free', existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : 'used car'
 - credit_amount : 12976
 - savings_status : '<100'
 - employment : unemployed
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 38
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 18. The credit_history is 'existing paid'. The purpose is 'used car'. The credit_amount is 12976. The savings_status is '<100'. The employment is unemployed. The installment_commitment is 3. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 38. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>18</td>
      <td>'existing paid'</td>
      <td>'used car'</td>
      <td>12976</td>
      <td>'&lt;100'</td>
      <td>unemployed</td>
      <td>3</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>38</td>
      <td>none</td>
      <td>'for free'</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 18 & 'existing paid' & 'used car' & 12976 & '<100' & unemployed & 3 & none & 4 & 'no known property' & 38 & none & 'for free' & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 38, 'checking_status': ""'0<=X<200'"", 'credit_amount': 12976, 'credit_history': ""'existing paid'"", 'duration': 18, 'employment': 'unemployed', 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': ""'for free'"", 'installment_commitment': 3, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 38-year-old female German Foreigner is applying for a loan of 12976 credits for 18 months for used car purposes. She has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. She has no other installment plans and 1 credits at this bank. She is unemployed and is recognized as a highly qualified employee or is self employed or has managerial position. She has lived in a free accommodation for 4 years.  She owns no known property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
70,male,'no checking',12,'critical/other existing credit',radio/tv,1934,'<100','>=7',2,none,2,'no known property',26,none,own,2,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 12, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 1934, savings_status is '<100', employment is '>=7', installment_commitment is 2, other_parties is none, residence_since is 2, property_magnitude is 'no known property', age is 26, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 1934
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'no known property'
 - age : 26
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 12. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 1934. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 2. The other_parties is none. The residence_since is 2. The property_magnitude is 'no known property'. The age is 26. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>12</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>1934</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>2</td>
      <td>none</td>
      <td>2</td>
      <td>'no known property'</td>
      <td>26</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 12 & 'critical/other existing credit' & radio/tv & 1934 & '<100' & '>=7' & 2 & none & 2 & 'no known property' & 26 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 26, 'checking_status': ""'no checking'"", 'credit_amount': 1934, 'credit_history': ""'critical/other existing credit'"", 'duration': 12, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'no known property'"", 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 26-year-old male German Foreigner is applying for a loan of 1934 credits for 12 months for radio or tv purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 2 years.  He owns no known property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
71,female,'<0',33,'critical/other existing credit',furniture/equipment,4281,'500<=X<1000','1<=X<4',1,none,4,car,23,none,own,2,skilled,1,none,yes,bad,"gender is female, checking_status is '<0', duration is 33, credit_history is 'critical/other existing credit', purpose is furniture/equipment, credit_amount is 4281, savings_status is '500<=X<1000', employment is '1<=X<4', installment_commitment is 1, other_parties is none, residence_since is 4, property_magnitude is car, age is 23, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 33
 - credit_history : 'critical/other existing credit'
 - purpose : furniture/equipment
 - credit_amount : 4281
 - savings_status : '500<=X<1000'
 - employment : '1<=X<4'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 23
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 33. The credit_history is 'critical/other existing credit'. The purpose is furniture/equipment. The credit_amount is 4281. The savings_status is '500<=X<1000'. The employment is '1<=X<4'. The installment_commitment is 1. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 23. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>33</td>
      <td>'critical/other existing credit'</td>
      <td>furniture/equipment</td>
      <td>4281</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>1</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>23</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 33 & 'critical/other existing credit' & furniture/equipment & 4281 & '500<=X<1000' & '1<=X<4' & 1 & none & 4 & car & 23 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 23, 'checking_status': ""'<0'"", 'credit_amount': 4281, 'credit_history': ""'critical/other existing credit'"", 'duration': 33, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'500<=X<1000'""}",A 23-year-old female German Foreigner is applying for a loan of 4281 credits for 33 months for furniture or equipment purposes. She has a checking account with 0 Deutsche Mark and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. She has no other installment plans and 2 credits at this bank. She is employed for more than one year but less than four years. She has lived in a self-owned house for 4 years.  She owns a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
72,male,'<0',16,'critical/other existing credit','new car',2625,'<100','>=7',2,guarantor,4,'life insurance',43,bank,rent,1,skilled,1,yes,yes,bad,"gender is male, checking_status is '<0', duration is 16, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 2625, savings_status is '<100', employment is '>=7', installment_commitment is 2, other_parties is guarantor, residence_since is 4, property_magnitude is 'life insurance', age is 43, other_payment_plans is bank, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 16
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 2625
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 2
 - other_parties : guarantor
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 43
 - other_payment_plans : bank
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 16. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 2625. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 2. The other_parties is guarantor. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 43. The other_payment_plans is bank. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>16</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>2625</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>2</td>
      <td>guarantor</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>43</td>
      <td>bank</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 16 & 'critical/other existing credit' & 'new car' & 2625 & '<100' & '>=7' & 2 & guarantor & 4 & 'life insurance' & 43 & bank & rent & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 43, 'checking_status': ""'<0'"", 'credit_amount': 2625, 'credit_history': ""'critical/other existing credit'"", 'duration': 16, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'guarantor', 'other_payment_plans': 'bank', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 43-year-old male German Foreigner is applying for a loan of 2625 credits for 16 months for new car purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There is a guarantor associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has other installment plans with a bank and 1 credits at this bank. He is employed for more than seven years. He has lived in a rented apartment for 4 years.  He owns life insurance property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
73,female,'<0',6,'critical/other existing credit','new car',666,'>=1000','4<=X<7',3,none,4,'real estate',39,none,own,2,'unskilled resident',1,yes,yes,good,"gender is female, checking_status is '<0', duration is 6, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 666, savings_status is '>=1000', employment is '4<=X<7', installment_commitment is 3, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 39, other_payment_plans is none, housing is own, existing_credits is 2, job is 'unskilled resident', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 6
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 666
 - savings_status : '>=1000'
 - employment : '4<=X<7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 39
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 6. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 666. The savings_status is '>=1000'. The employment is '4<=X<7'. The installment_commitment is 3. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 39. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>6</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>666</td>
      <td>'&gt;=1000'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>3</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>39</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 6 & 'critical/other existing credit' & 'new car' & 666 & '>=1000' & '4<=X<7' & 3 & none & 4 & 'real estate' & 39 & none & own & 2 & 'unskilled resident' & 1 & yes & yes \\
\end{tabular}
","{'age': 39, 'checking_status': ""'<0'"", 'credit_amount': 666, 'credit_history': ""'critical/other existing credit'"", 'duration': 6, 'employment': ""'4<=X<7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 3, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'>=1000'""}",A 39-year-old female German Foreigner is applying for a loan of 666 credits for 6 months for new car purposes. She has a checking account with 0 Deutsche Mark and a savings with 1000 Deutsche Mark or more. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. She has no other installment plans and 2 credits at this bank. She is employed for more than four years but less than seven years and is recognized as an unskilled resident individual. She has lived in a self-owned house for 4 years.  She owns some real estate property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
74,female,'no checking',24,'existing paid','used car',3488,'100<=X<500','4<=X<7',3,none,4,car,23,none,own,1,skilled,1,none,yes,good,"gender is female, checking_status is 'no checking', duration is 24, credit_history is 'existing paid', purpose is 'used car', credit_amount is 3488, savings_status is '100<=X<500', employment is '4<=X<7', installment_commitment is 3, other_parties is none, residence_since is 4, property_magnitude is car, age is 23, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : 'used car'
 - credit_amount : 3488
 - savings_status : '100<=X<500'
 - employment : '4<=X<7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 23
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 24. The credit_history is 'existing paid'. The purpose is 'used car'. The credit_amount is 3488. The savings_status is '100<=X<500'. The employment is '4<=X<7'. The installment_commitment is 3. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 23. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>'used car'</td>
      <td>3488</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>3</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>23</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 24 & 'existing paid' & 'used car' & 3488 & '100<=X<500' & '4<=X<7' & 3 & none & 4 & car & 23 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 23, 'checking_status': ""'no checking'"", 'credit_amount': 3488, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'100<=X<500'""}",A 23-year-old female German Foreigner is applying for a loan of 3488 credits for 24 months for used car purposes. She has no checking account and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. She has no other installment plans and 1 credits at this bank. She is employed for more than four years but less than seven years. She has lived in a self-owned house for 4 years.  She owns a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
75,male,'0<=X<200',30,'critical/other existing credit','new car',5234,'<100',unemployed,4,none,2,car,28,none,own,2,'high qualif/self emp/mgmt',1,none,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 30, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 5234, savings_status is '<100', employment is unemployed, installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is car, age is 28, other_payment_plans is none, housing is own, existing_credits is 2, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 30
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 5234
 - savings_status : '<100'
 - employment : unemployed
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 28
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 30. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 5234. The savings_status is '<100'. The employment is unemployed. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 28. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>30</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>5234</td>
      <td>'&lt;100'</td>
      <td>unemployed</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>28</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 30 & 'critical/other existing credit' & 'new car' & 5234 & '<100' & unemployed & 4 & none & 2 & car & 28 & none & own & 2 & 'high qualif/self emp/mgmt' & 1 & none & yes \\
\end{tabular}
","{'age': 28, 'checking_status': ""'0<=X<200'"", 'credit_amount': 5234, 'credit_history': ""'critical/other existing credit'"", 'duration': 30, 'employment': 'unemployed', 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'<100'""}",A 28-year-old male German Foreigner is applying for a loan of 5234 credits for 30 months for new car purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is unemployed and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 2 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
76,female,'no checking',6,'critical/other existing credit',radio/tv,1382,'<100','1<=X<4',1,none,1,car,28,none,own,2,skilled,1,yes,yes,good,"gender is female, checking_status is 'no checking', duration is 6, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 1382, savings_status is '<100', employment is '1<=X<4', installment_commitment is 1, other_parties is none, residence_since is 1, property_magnitude is car, age is 28, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 6
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 1382
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 1
 - property_magnitude : car
 - age : 28
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 6. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 1382. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 1. The other_parties is none. The residence_since is 1. The property_magnitude is car. The age is 28. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>6</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>1382</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>1</td>
      <td>none</td>
      <td>1</td>
      <td>car</td>
      <td>28</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 6 & 'critical/other existing credit' & radio/tv & 1382 & '<100' & '1<=X<4' & 1 & none & 1 & car & 28 & none & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 28, 'checking_status': ""'no checking'"", 'credit_amount': 1382, 'credit_history': ""'critical/other existing credit'"", 'duration': 6, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 1, 'savings_status': ""'<100'""}",A 28-year-old female German Foreigner is applying for a loan of 1382 credits for 6 months for radio or tv purposes. She has no checking account and a savings acccount with less than 100 Deutsche Mark. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. She has no other installment plans and 2 credits at this bank. She is employed for more than one year but less than four years. She has lived in a self-owned house for 1 years.  She owns a car. She owns a telephone and has 1 person that she is liable to provide maintenance for.
77,female,'no checking',36,'existing paid',furniture/equipment,3349,'<100','1<=X<4',4,none,2,car,28,none,own,1,'high qualif/self emp/mgmt',1,yes,yes,bad,"gender is female, checking_status is 'no checking', duration is 36, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 3349, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is car, age is 28, other_payment_plans is none, housing is own, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 36
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 3349
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 28
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 36. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 3349. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 28. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>36</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>3349</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>28</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 36 & 'existing paid' & furniture/equipment & 3349 & '<100' & '1<=X<4' & 4 & none & 2 & car & 28 & none & own & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 28, 'checking_status': ""'no checking'"", 'credit_amount': 3349, 'credit_history': ""'existing paid'"", 'duration': 36, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'furniture/equipment', 'residence_since': 2, 'savings_status': ""'<100'""}",A 28-year-old female German Foreigner is applying for a loan of 3349 credits for 36 months for furniture or equipment purposes. She has no checking account and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for more than one year but less than four years and is recognized as a highly qualified employee or is self employed or has managerial position. She has lived in a self-owned house for 2 years.  She owns a car. She owns a telephone and has 1 person that she is liable to provide maintenance for.
78,male,'no checking',15,'existing paid',radio/tv,1213,'500<=X<1000','>=7',4,none,3,'life insurance',47,stores,own,1,skilled,1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 15, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1213, savings_status is '500<=X<1000', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 3, property_magnitude is 'life insurance', age is 47, other_payment_plans is stores, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 15
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1213
 - savings_status : '500<=X<1000'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'life insurance'
 - age : 47
 - other_payment_plans : stores
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 15. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1213. The savings_status is '500<=X<1000'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 3. The property_magnitude is 'life insurance'. The age is 47. The other_payment_plans is stores. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>15</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1213</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>'life insurance'</td>
      <td>47</td>
      <td>stores</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 15 & 'existing paid' & radio/tv & 1213 & '500<=X<1000' & '>=7' & 4 & none & 3 & 'life insurance' & 47 & stores & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 47, 'checking_status': ""'no checking'"", 'credit_amount': 1213, 'credit_history': ""'existing paid'"", 'duration': 15, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'stores', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': 'radio/tv', 'residence_since': 3, 'savings_status': ""'500<=X<1000'""}",A 47-year-old male German Foreigner is applying for a loan of 1213 credits for 15 months for radio or tv purposes. He has no checking account and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a store and 1 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 3 years.  He owns life insurance property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
79,female,'0<=X<200',12,'existing paid','new car',836,'100<=X<500','<1',4,none,2,'life insurance',23,bank,own,1,'unskilled resident',1,none,yes,bad,"gender is female, checking_status is '0<=X<200', duration is 12, credit_history is 'existing paid', purpose is 'new car', credit_amount is 836, savings_status is '100<=X<500', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is 'life insurance', age is 23, other_payment_plans is bank, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 836
 - savings_status : '100<=X<500'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 23
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 12. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 836. The savings_status is '100<=X<500'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 23. The other_payment_plans is bank. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>836</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>23</td>
      <td>bank</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 12 & 'existing paid' & 'new car' & 836 & '100<=X<500' & '<1' & 4 & none & 2 & 'life insurance' & 23 & bank & own & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 23, 'checking_status': ""'0<=X<200'"", 'credit_amount': 836, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'100<=X<500'""}",A 23-year-old female German Foreigner is applying for a loan of 836 credits for 12 months for new car purposes. She has a checking account with less than 200 Deutsche Mark and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has other installment plans with a bank and 1 credits at this bank. She is employed for less than one years and is recognized as an unskilled resident individual. She has lived in a self-owned house for 2 years.  She owns life insurance property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
80,male,'<0',12,'existing paid',furniture/equipment,1289,'<100','1<=X<4',4,guarantor,1,'life insurance',21,none,own,1,'unskilled resident',1,none,yes,good,"gender is male, checking_status is '<0', duration is 12, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 1289, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is guarantor, residence_since is 1, property_magnitude is 'life insurance', age is 21, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 1289
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : guarantor
 - residence_since : 1
 - property_magnitude : 'life insurance'
 - age : 21
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 12. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 1289. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is guarantor. The residence_since is 1. The property_magnitude is 'life insurance'. The age is 21. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>1289</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>guarantor</td>
      <td>1</td>
      <td>'life insurance'</td>
      <td>21</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 12 & 'existing paid' & furniture/equipment & 1289 & '<100' & '1<=X<4' & 4 & guarantor & 1 & 'life insurance' & 21 & none & own & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 21, 'checking_status': ""'<0'"", 'credit_amount': 1289, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'guarantor', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 1, 'savings_status': ""'<100'""}",A 21-year-old male German Foreigner is applying for a loan of 1289 credits for 12 months for furniture or equipment purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There is a guarantor associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 1 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
81,female,'no checking',12,'critical/other existing credit',furniture/equipment,1258,'<100','<1',2,none,4,'life insurance',22,none,rent,2,'unskilled resident',1,none,yes,good,"gender is female, checking_status is 'no checking', duration is 12, credit_history is 'critical/other existing credit', purpose is furniture/equipment, credit_amount is 1258, savings_status is '<100', employment is '<1', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 22, other_payment_plans is none, housing is rent, existing_credits is 2, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'critical/other existing credit'
 - purpose : furniture/equipment
 - credit_amount : 1258
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 22
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 2
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 12. The credit_history is 'critical/other existing credit'. The purpose is furniture/equipment. The credit_amount is 1258. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 22. The other_payment_plans is none. The housing is rent. The existing_credits is 2. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>12</td>
      <td>'critical/other existing credit'</td>
      <td>furniture/equipment</td>
      <td>1258</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>22</td>
      <td>none</td>
      <td>rent</td>
      <td>2</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 12 & 'critical/other existing credit' & furniture/equipment & 1258 & '<100' & '<1' & 2 & none & 4 & 'life insurance' & 22 & none & rent & 2 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 22, 'checking_status': ""'no checking'"", 'credit_amount': 1258, 'credit_history': ""'critical/other existing credit'"", 'duration': 12, 'employment': ""'<1'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 2, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'<100'""}",A 22-year-old female German Foreigner is applying for a loan of 1258 credits for 12 months for furniture or equipment purposes. She has no checking account and a savings acccount with less than 100 Deutsche Mark. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has no other installment plans and 2 credits at this bank. She is employed for less than one years and is recognized as an unskilled resident individual. She has lived in a rented apartment for 4 years.  She owns life insurance property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
82,male,'<0',30,'existing paid',radio/tv,2522,'<100','>=7',1,guarantor,3,'life insurance',39,none,own,1,skilled,2,none,yes,good,"gender is male, checking_status is '<0', duration is 30, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 2522, savings_status is '<100', employment is '>=7', installment_commitment is 1, other_parties is guarantor, residence_since is 3, property_magnitude is 'life insurance', age is 39, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 30
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 2522
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 1
 - other_parties : guarantor
 - residence_since : 3
 - property_magnitude : 'life insurance'
 - age : 39
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 30. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 2522. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 1. The other_parties is guarantor. The residence_since is 3. The property_magnitude is 'life insurance'. The age is 39. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>30</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>2522</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>1</td>
      <td>guarantor</td>
      <td>3</td>
      <td>'life insurance'</td>
      <td>39</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 30 & 'existing paid' & radio/tv & 2522 & '<100' & '>=7' & 1 & guarantor & 3 & 'life insurance' & 39 & none & own & 1 & skilled & 2 & none & yes \\
\end{tabular}
","{'age': 39, 'checking_status': ""'<0'"", 'credit_amount': 2522, 'credit_history': ""'existing paid'"", 'duration': 30, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'guarantor', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'radio/tv', 'residence_since': 3, 'savings_status': ""'<100'""}",A 39-year-old male German Foreigner is applying for a loan of 2522 credits for 30 months for radio or tv purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There is a guarantor associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 3 years.  He owns life insurance property. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
83,male,'no checking',12,'existing paid',business,1076,'<100','1<=X<4',2,none,2,'real estate',26,none,own,1,skilled,1,yes,no,good,"gender is male, checking_status is 'no checking', duration is 12, credit_history is 'existing paid', purpose is business, credit_amount is 1076, savings_status is '<100', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 26, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is no","- gender : male
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : business
 - credit_amount : 1076
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 26
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : no",The gender is male. The checking_status is 'no checking'. The duration is 12. The credit_history is 'existing paid'. The purpose is business. The credit_amount is 1076. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 26. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is no,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>business</td>
      <td>1076</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>26</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>no</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 12 & 'existing paid' & business & 1076 & '<100' & '1<=X<4' & 2 & none & 2 & 'real estate' & 26 & none & own & 1 & skilled & 1 & yes & no \\
\end{tabular}
","{'age': 26, 'checking_status': ""'no checking'"", 'credit_amount': 1076, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'no', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': 'business', 'residence_since': 2, 'savings_status': ""'<100'""}",A 26-year-old male German Citizen is applying for a loan of 1076 credits for 12 months for business purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 2 years.  He owns some real estate property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
84,female,'no checking',36,'existing paid',radio/tv,3835,'no known savings','>=7',2,none,4,'real estate',45,none,own,1,'unskilled resident',1,yes,yes,good,"gender is female, checking_status is 'no checking', duration is 36, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 3835, savings_status is 'no known savings', employment is '>=7', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 45, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 36
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 3835
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 45
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 36. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 3835. The savings_status is 'no known savings'. The employment is '>=7'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 45. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>36</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>3835</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>45</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 36 & 'existing paid' & radio/tv & 3835 & 'no known savings' & '>=7' & 2 & none & 4 & 'real estate' & 45 & none & own & 1 & 'unskilled resident' & 1 & yes & yes \\
\end{tabular}
","{'age': 45, 'checking_status': ""'no checking'"", 'credit_amount': 3835, 'credit_history': ""'existing paid'"", 'duration': 36, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 2, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 45-year-old female German Foreigner is applying for a loan of 3835 credits for 36 months for radio or tv purposes. She has no checking account and no known savings. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has no other installment plans and 1 credits at this bank. She is employed for more than seven years and is recognized as an unskilled resident individual. She has lived in a self-owned house for 4 years.  She owns some real estate property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
85,male,'no checking',18,'existing paid',radio/tv,1505,'<100','1<=X<4',4,none,2,'no known property',32,none,'for free',1,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 18, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1505, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is 'no known property', age is 32, other_payment_plans is none, housing is 'for free', existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1505
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'no known property'
 - age : 32
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 18. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1505. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is 'no known property'. The age is 32. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>18</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1505</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'no known property'</td>
      <td>32</td>
      <td>none</td>
      <td>'for free'</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 18 & 'existing paid' & radio/tv & 1505 & '<100' & '1<=X<4' & 4 & none & 2 & 'no known property' & 32 & none & 'for free' & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 32, 'checking_status': ""'no checking'"", 'credit_amount': 1505, 'credit_history': ""'existing paid'"", 'duration': 18, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 32-year-old male German Foreigner is applying for a loan of 1505 credits for 18 months for radio or tv purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a free accommodation for 2 years.  He owns no known property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
86,female,'<0',30,'existing paid',furniture/equipment,2406,'<100','4<=X<7',4,none,4,'real estate',23,none,rent,1,skilled,1,none,yes,bad,"gender is female, checking_status is '<0', duration is 30, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 2406, savings_status is '<100', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 23, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 30
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 2406
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 23
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 30. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 2406. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 23. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>30</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>2406</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>23</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 30 & 'existing paid' & furniture/equipment & 2406 & '<100' & '4<=X<7' & 4 & none & 4 & 'real estate' & 23 & none & rent & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 23, 'checking_status': ""'<0'"", 'credit_amount': 2406, 'credit_history': ""'existing paid'"", 'duration': 30, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'<100'""}",A 23-year-old female German Foreigner is applying for a loan of 2406 credits for 30 months for furniture or equipment purposes. She has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for more than four years but less than seven years. She has lived in a rented apartment for 4 years.  She owns some real estate property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
87,male,'0<=X<200',15,'delayed previously',repairs,1512,'>=1000','1<=X<4',3,none,3,'life insurance',61,stores,own,2,skilled,1,none,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 15, credit_history is 'delayed previously', purpose is repairs, credit_amount is 1512, savings_status is '>=1000', employment is '1<=X<4', installment_commitment is 3, other_parties is none, residence_since is 3, property_magnitude is 'life insurance', age is 61, other_payment_plans is stores, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 15
 - credit_history : 'delayed previously'
 - purpose : repairs
 - credit_amount : 1512
 - savings_status : '>=1000'
 - employment : '1<=X<4'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'life insurance'
 - age : 61
 - other_payment_plans : stores
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 15. The credit_history is 'delayed previously'. The purpose is repairs. The credit_amount is 1512. The savings_status is '>=1000'. The employment is '1<=X<4'. The installment_commitment is 3. The other_parties is none. The residence_since is 3. The property_magnitude is 'life insurance'. The age is 61. The other_payment_plans is stores. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>15</td>
      <td>'delayed previously'</td>
      <td>repairs</td>
      <td>1512</td>
      <td>'&gt;=1000'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>3</td>
      <td>none</td>
      <td>3</td>
      <td>'life insurance'</td>
      <td>61</td>
      <td>stores</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 15 & 'delayed previously' & repairs & 1512 & '>=1000' & '1<=X<4' & 3 & none & 3 & 'life insurance' & 61 & stores & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 61, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1512, 'credit_history': ""'delayed previously'"", 'duration': 15, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'stores', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'repairs', 'residence_since': 3, 'savings_status': ""'>=1000'""}",A 61-year-old male German Foreigner is applying for a loan of 1512 credits for 15 months for repairs purposes. He has a checking account with less than 200 Deutsche Mark and a savings with 1000 Deutsche Mark or more. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has other installment plans with a store and 2 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 3 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
88,male,'<0',12,'existing paid',furniture/equipment,7865,'<100','>=7',4,none,4,'no known property',53,none,'for free',1,'high qualif/self emp/mgmt',1,yes,yes,bad,"gender is male, checking_status is '<0', duration is 12, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 7865, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 53, other_payment_plans is none, housing is 'for free', existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 7865
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 53
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 12. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 7865. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 53. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>7865</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>53</td>
      <td>none</td>
      <td>'for free'</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 12 & 'existing paid' & furniture/equipment & 7865 & '<100' & '>=7' & 4 & none & 4 & 'no known property' & 53 & none & 'for free' & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 53, 'checking_status': ""'<0'"", 'credit_amount': 7865, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'<100'""}",A 53-year-old male German Foreigner is applying for a loan of 7865 credits for 12 months for furniture or equipment purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a free accommodation for 4 years.  He owns no known property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
89,male,'0<=X<200',18,'critical/other existing credit',business,3590,'<100',unemployed,3,none,3,car,40,none,own,3,'unemp/unskilled non res',2,yes,yes,good,"gender is male, checking_status is '0<=X<200', duration is 18, credit_history is 'critical/other existing credit', purpose is business, credit_amount is 3590, savings_status is '<100', employment is unemployed, installment_commitment is 3, other_parties is none, residence_since is 3, property_magnitude is car, age is 40, other_payment_plans is none, housing is own, existing_credits is 3, job is 'unemp/unskilled non res', num_dependents is 2, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 18
 - credit_history : 'critical/other existing credit'
 - purpose : business
 - credit_amount : 3590
 - savings_status : '<100'
 - employment : unemployed
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 3
 - property_magnitude : car
 - age : 40
 - other_payment_plans : none
 - housing : own
 - existing_credits : 3
 - job : 'unemp/unskilled non res'
 - num_dependents : 2
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 18. The credit_history is 'critical/other existing credit'. The purpose is business. The credit_amount is 3590. The savings_status is '<100'. The employment is unemployed. The installment_commitment is 3. The other_parties is none. The residence_since is 3. The property_magnitude is car. The age is 40. The other_payment_plans is none. The housing is own. The existing_credits is 3. The job is 'unemp/unskilled non res'. The num_dependents is 2. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>18</td>
      <td>'critical/other existing credit'</td>
      <td>business</td>
      <td>3590</td>
      <td>'&lt;100'</td>
      <td>unemployed</td>
      <td>3</td>
      <td>none</td>
      <td>3</td>
      <td>car</td>
      <td>40</td>
      <td>none</td>
      <td>own</td>
      <td>3</td>
      <td>'unemp/unskilled non res'</td>
      <td>2</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 18 & 'critical/other existing credit' & business & 3590 & '<100' & unemployed & 3 & none & 3 & car & 40 & none & own & 3 & 'unemp/unskilled non res' & 2 & yes & yes \\
\end{tabular}
","{'age': 40, 'checking_status': ""'0<=X<200'"", 'credit_amount': 3590, 'credit_history': ""'critical/other existing credit'"", 'duration': 18, 'employment': 'unemployed', 'existing_credits': 3, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': ""'unemp/unskilled non res'"", 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'business', 'residence_since': 3, 'savings_status': ""'<100'""}",A 40-year-old male German Foreigner is applying for a loan of 3590 credits for 18 months for business purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 3 credits at this bank. He is unemployed and is recognized as an unemployed or unskilled non-resident individual. He has lived in a self-owned house for 3 years.  He owns a car. He owns a telephone and has 2 people that he is liable to provide maintenance for.
90,male,'<0',24,'all paid',furniture/equipment,3349,'500<=X<1000','<1',4,none,4,'no known property',30,none,'for free',1,skilled,2,yes,yes,bad,"gender is male, checking_status is '<0', duration is 24, credit_history is 'all paid', purpose is furniture/equipment, credit_amount is 3349, savings_status is '500<=X<1000', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 30, other_payment_plans is none, housing is 'for free', existing_credits is 1, job is skilled, num_dependents is 2, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 24
 - credit_history : 'all paid'
 - purpose : furniture/equipment
 - credit_amount : 3349
 - savings_status : '500<=X<1000'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 30
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 1
 - job : skilled
 - num_dependents : 2
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 24. The credit_history is 'all paid'. The purpose is furniture/equipment. The credit_amount is 3349. The savings_status is '500<=X<1000'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 30. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 1. The job is skilled. The num_dependents is 2. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>24</td>
      <td>'all paid'</td>
      <td>furniture/equipment</td>
      <td>3349</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>30</td>
      <td>none</td>
      <td>'for free'</td>
      <td>1</td>
      <td>skilled</td>
      <td>2</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 24 & 'all paid' & furniture/equipment & 3349 & '500<=X<1000' & '<1' & 4 & none & 4 & 'no known property' & 30 & none & 'for free' & 1 & skilled & 2 & yes & yes \\
\end{tabular}
","{'age': 30, 'checking_status': ""'<0'"", 'credit_amount': 3349, 'credit_history': ""'all paid'"", 'duration': 24, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'500<=X<1000'""}",A 30-year-old male German Foreigner is applying for a loan of 3349 credits for 24 months for furniture or equipment purposes. He has a checking account with 0 Deutsche Mark and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. He has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for less than one years. He has lived in a free accommodation for 4 years.  He owns no known property. He owns a telephone and has 2 people that he is liable to provide maintenance for.
91,male,'<0',18,'existing paid','used car',7511,'no known savings','>=7',1,none,4,'life insurance',51,none,'for free',1,skilled,2,yes,yes,bad,"gender is male, checking_status is '<0', duration is 18, credit_history is 'existing paid', purpose is 'used car', credit_amount is 7511, savings_status is 'no known savings', employment is '>=7', installment_commitment is 1, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 51, other_payment_plans is none, housing is 'for free', existing_credits is 1, job is skilled, num_dependents is 2, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : 'used car'
 - credit_amount : 7511
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 51
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 1
 - job : skilled
 - num_dependents : 2
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 18. The credit_history is 'existing paid'. The purpose is 'used car'. The credit_amount is 7511. The savings_status is 'no known savings'. The employment is '>=7'. The installment_commitment is 1. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 51. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 1. The job is skilled. The num_dependents is 2. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>18</td>
      <td>'existing paid'</td>
      <td>'used car'</td>
      <td>7511</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>1</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>51</td>
      <td>none</td>
      <td>'for free'</td>
      <td>1</td>
      <td>skilled</td>
      <td>2</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 18 & 'existing paid' & 'used car' & 7511 & 'no known savings' & '>=7' & 1 & none & 4 & 'life insurance' & 51 & none & 'for free' & 1 & skilled & 2 & yes & yes \\
\end{tabular}
","{'age': 51, 'checking_status': ""'<0'"", 'credit_amount': 7511, 'credit_history': ""'existing paid'"", 'duration': 18, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 51-year-old male German Foreigner is applying for a loan of 7511 credits for 18 months for used car purposes. He has a checking account with 0 Deutsche Mark and no known savings. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years. He has lived in a free accommodation for 4 years.  He owns life insurance property. He owns a telephone and has 2 people that he is liable to provide maintenance for.
92,male,'<0',36,'existing paid','used car',5493,'<100','>=7',2,none,4,'no known property',42,none,'for free',1,skilled,2,none,yes,good,"gender is male, checking_status is '<0', duration is 36, credit_history is 'existing paid', purpose is 'used car', credit_amount is 5493, savings_status is '<100', employment is '>=7', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 42, other_payment_plans is none, housing is 'for free', existing_credits is 1, job is skilled, num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 36
 - credit_history : 'existing paid'
 - purpose : 'used car'
 - credit_amount : 5493
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 42
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 1
 - job : skilled
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 36. The credit_history is 'existing paid'. The purpose is 'used car'. The credit_amount is 5493. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 42. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 1. The job is skilled. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>36</td>
      <td>'existing paid'</td>
      <td>'used car'</td>
      <td>5493</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>42</td>
      <td>none</td>
      <td>'for free'</td>
      <td>1</td>
      <td>skilled</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 36 & 'existing paid' & 'used car' & 5493 & '<100' & '>=7' & 2 & none & 4 & 'no known property' & 42 & none & 'for free' & 1 & skilled & 2 & none & yes \\
\end{tabular}
","{'age': 42, 'checking_status': ""'<0'"", 'credit_amount': 5493, 'credit_history': ""'existing paid'"", 'duration': 36, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'no known property'"", 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 42-year-old male German Foreigner is applying for a loan of 5493 credits for 36 months for used car purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years. He has lived in a free accommodation for 4 years.  He owns no known property. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
93,male,'no checking',18,'existing paid',business,1950,'<100','4<=X<7',4,none,1,car,34,stores,own,2,skilled,1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 18, credit_history is 'existing paid', purpose is business, credit_amount is 1950, savings_status is '<100', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 1, property_magnitude is car, age is 34, other_payment_plans is stores, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : business
 - credit_amount : 1950
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 1
 - property_magnitude : car
 - age : 34
 - other_payment_plans : stores
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 18. The credit_history is 'existing paid'. The purpose is business. The credit_amount is 1950. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is none. The residence_since is 1. The property_magnitude is car. The age is 34. The other_payment_plans is stores. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>18</td>
      <td>'existing paid'</td>
      <td>business</td>
      <td>1950</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>1</td>
      <td>car</td>
      <td>34</td>
      <td>stores</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 18 & 'existing paid' & business & 1950 & '<100' & '4<=X<7' & 4 & none & 1 & car & 34 & stores & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 34, 'checking_status': ""'no checking'"", 'credit_amount': 1950, 'credit_history': ""'existing paid'"", 'duration': 18, 'employment': ""'4<=X<7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'stores', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'business', 'residence_since': 1, 'savings_status': ""'<100'""}",A 34-year-old male German Foreigner is applying for a loan of 1950 credits for 18 months for business purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a store and 2 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 1 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
94,female,'>=200',12,'delayed previously','new car',2247,'<100','1<=X<4',2,none,2,car,36,stores,own,2,skilled,1,yes,yes,good,"gender is female, checking_status is '>=200', duration is 12, credit_history is 'delayed previously', purpose is 'new car', credit_amount is 2247, savings_status is '<100', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 2, property_magnitude is car, age is 36, other_payment_plans is stores, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '>=200'
 - duration : 12
 - credit_history : 'delayed previously'
 - purpose : 'new car'
 - credit_amount : 2247
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 36
 - other_payment_plans : stores
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '>=200'. The duration is 12. The credit_history is 'delayed previously'. The purpose is 'new car'. The credit_amount is 2247. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 36. The other_payment_plans is stores. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&gt;=200'</td>
      <td>12</td>
      <td>'delayed previously'</td>
      <td>'new car'</td>
      <td>2247</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>36</td>
      <td>stores</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '>=200' & 12 & 'delayed previously' & 'new car' & 2247 & '<100' & '1<=X<4' & 2 & none & 2 & car & 36 & stores & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 36, 'checking_status': ""'>=200'"", 'credit_amount': 2247, 'credit_history': ""'delayed previously'"", 'duration': 12, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'stores', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'<100'""}",A 36-year-old female German Foreigner is applying for a loan of 2247 credits for 12 months for new car purposes. She has a checking account with 200 Deutsche Mark or more and a savings acccount with less than 100 Deutsche Mark. She has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has other installment plans with a store and 2 credits at this bank. She is employed for more than one year but less than four years. She has lived in a self-owned house for 2 years.  She owns a car. She owns a telephone and has 1 person that she is liable to provide maintenance for.
95,female,'no checking',33,'delayed previously',business,2764,'<100','1<=X<4',2,none,2,car,26,none,own,2,skilled,1,yes,yes,good,"gender is female, checking_status is 'no checking', duration is 33, credit_history is 'delayed previously', purpose is business, credit_amount is 2764, savings_status is '<100', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 2, property_magnitude is car, age is 26, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 33
 - credit_history : 'delayed previously'
 - purpose : business
 - credit_amount : 2764
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 26
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 33. The credit_history is 'delayed previously'. The purpose is business. The credit_amount is 2764. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 26. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>33</td>
      <td>'delayed previously'</td>
      <td>business</td>
      <td>2764</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>26</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 33 & 'delayed previously' & business & 2764 & '<100' & '1<=X<4' & 2 & none & 2 & car & 26 & none & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 26, 'checking_status': ""'no checking'"", 'credit_amount': 2764, 'credit_history': ""'delayed previously'"", 'duration': 33, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'business', 'residence_since': 2, 'savings_status': ""'<100'""}",A 26-year-old female German Foreigner is applying for a loan of 2764 credits for 33 months for business purposes. She has no checking account and a savings acccount with less than 100 Deutsche Mark. She has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has no other installment plans and 2 credits at this bank. She is employed for more than one year but less than four years. She has lived in a self-owned house for 2 years.  She owns a car. She owns a telephone and has 1 person that she is liable to provide maintenance for.
96,male,'0<=X<200',30,'delayed previously',radio/tv,1919,'100<=X<500','<1',4,none,3,'no known property',30,stores,own,2,'high qualif/self emp/mgmt',1,none,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 30, credit_history is 'delayed previously', purpose is radio/tv, credit_amount is 1919, savings_status is '100<=X<500', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 3, property_magnitude is 'no known property', age is 30, other_payment_plans is stores, housing is own, existing_credits is 2, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 30
 - credit_history : 'delayed previously'
 - purpose : radio/tv
 - credit_amount : 1919
 - savings_status : '100<=X<500'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'no known property'
 - age : 30
 - other_payment_plans : stores
 - housing : own
 - existing_credits : 2
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 30. The credit_history is 'delayed previously'. The purpose is radio/tv. The credit_amount is 1919. The savings_status is '100<=X<500'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 3. The property_magnitude is 'no known property'. The age is 30. The other_payment_plans is stores. The housing is own. The existing_credits is 2. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>30</td>
      <td>'delayed previously'</td>
      <td>radio/tv</td>
      <td>1919</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>'no known property'</td>
      <td>30</td>
      <td>stores</td>
      <td>own</td>
      <td>2</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 30 & 'delayed previously' & radio/tv & 1919 & '100<=X<500' & '<1' & 4 & none & 3 & 'no known property' & 30 & stores & own & 2 & 'high qualif/self emp/mgmt' & 1 & none & yes \\
\end{tabular}
","{'age': 30, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1919, 'credit_history': ""'delayed previously'"", 'duration': 30, 'employment': ""'<1'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'stores', 'own_telephone': 'none', 'property_magnitude': ""'no known property'"", 'purpose': 'radio/tv', 'residence_since': 3, 'savings_status': ""'100<=X<500'""}",A 30-year-old male German Foreigner is applying for a loan of 1919 credits for 30 months for radio or tv purposes. He has a checking account with less than 200 Deutsche Mark and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a store and 2 credits at this bank. He is employed for less than one years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 3 years.  He owns no known property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
97,male,'no checking',9,'existing paid',furniture/equipment,1313,'<100','>=7',1,none,4,car,20,none,own,1,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 9, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 1313, savings_status is '<100', employment is '>=7', installment_commitment is 1, other_parties is none, residence_since is 4, property_magnitude is car, age is 20, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 9
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 1313
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 20
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 9. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 1313. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 1. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 20. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>9</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>1313</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>1</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>20</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 9 & 'existing paid' & furniture/equipment & 1313 & '<100' & '>=7' & 1 & none & 4 & car & 20 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 20, 'checking_status': ""'no checking'"", 'credit_amount': 1313, 'credit_history': ""'existing paid'"", 'duration': 9, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'<100'""}",A 20-year-old male German Foreigner is applying for a loan of 1313 credits for 9 months for furniture or equipment purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 4 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
98,male,'0<=X<200',36,'existing paid','used car',6948,'<100','1<=X<4',2,none,2,car,35,none,rent,1,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is male, checking_status is '0<=X<200', duration is 36, credit_history is 'existing paid', purpose is 'used car', credit_amount is 6948, savings_status is '<100', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 2, property_magnitude is car, age is 35, other_payment_plans is none, housing is rent, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 36
 - credit_history : 'existing paid'
 - purpose : 'used car'
 - credit_amount : 6948
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 35
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 36. The credit_history is 'existing paid'. The purpose is 'used car'. The credit_amount is 6948. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 35. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>36</td>
      <td>'existing paid'</td>
      <td>'used car'</td>
      <td>6948</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>35</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 36 & 'existing paid' & 'used car' & 6948 & '<100' & '1<=X<4' & 2 & none & 2 & car & 35 & none & rent & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 35, 'checking_status': ""'0<=X<200'"", 'credit_amount': 6948, 'credit_history': ""'existing paid'"", 'duration': 36, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 2, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': ""'used car'"", 'residence_since': 2, 'savings_status': ""'<100'""}",A 35-year-old male German Foreigner is applying for a loan of 6948 credits for 36 months for used car purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a rented apartment for 2 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
99,female,'<0',12,'existing paid',furniture/equipment,1282,'<100','1<=X<4',2,none,4,car,20,none,rent,1,skilled,1,none,yes,bad,"gender is female, checking_status is '<0', duration is 12, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 1282, savings_status is '<100', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is car, age is 20, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 1282
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 20
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 12. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 1282. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 20. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>1282</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>20</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 12 & 'existing paid' & furniture/equipment & 1282 & '<100' & '1<=X<4' & 2 & none & 4 & car & 20 & none & rent & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 20, 'checking_status': ""'<0'"", 'credit_amount': 1282, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'<100'""}",A 20-year-old female German Foreigner is applying for a loan of 1282 credits for 12 months for furniture or equipment purposes. She has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has no other installment plans and 1 credits at this bank. She is employed for more than one year but less than four years. She has lived in a rented apartment for 4 years.  She owns a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
100,male,'no checking',24,'delayed previously','new car',2032,'<100','>=7',4,none,4,'no known property',60,none,'for free',2,skilled,1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'delayed previously', purpose is 'new car', credit_amount is 2032, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 60, other_payment_plans is none, housing is 'for free', existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'delayed previously'
 - purpose : 'new car'
 - credit_amount : 2032
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 60
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 24. The credit_history is 'delayed previously'. The purpose is 'new car'. The credit_amount is 2032. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 60. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'delayed previously'</td>
      <td>'new car'</td>
      <td>2032</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>60</td>
      <td>none</td>
      <td>'for free'</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 24 & 'delayed previously' & 'new car' & 2032 & '<100' & '>=7' & 4 & none & 4 & 'no known property' & 60 & none & 'for free' & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 60, 'checking_status': ""'no checking'"", 'credit_amount': 2032, 'credit_history': ""'delayed previously'"", 'duration': 24, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 60-year-old male German Foreigner is applying for a loan of 2032 credits for 24 months for new car purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years. He has lived in a free accommodation for 4 years.  He owns no known property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
101,male,'no checking',12,'existing paid','new car',1884,'<100','>=7',4,none,4,car,39,none,own,1,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 12, credit_history is 'existing paid', purpose is 'new car', credit_amount is 1884, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is car, age is 39, other_payment_plans is none, housing is own, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 1884
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 39
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 12. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 1884. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 39. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>1884</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>39</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 12 & 'existing paid' & 'new car' & 1884 & '<100' & '>=7' & 4 & none & 4 & car & 39 & none & own & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 39, 'checking_status': ""'no checking'"", 'credit_amount': 1884, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 39-year-old male German Foreigner is applying for a loan of 1884 credits for 12 months for new car purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 4 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
102,female,'<0',30,'existing paid',furniture/equipment,3622,'>=1000','>=7',4,none,4,'life insurance',57,none,rent,2,skilled,1,yes,yes,good,"gender is female, checking_status is '<0', duration is 30, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 3622, savings_status is '>=1000', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 57, other_payment_plans is none, housing is rent, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 30
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 3622
 - savings_status : '>=1000'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 57
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 30. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 3622. The savings_status is '>=1000'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 57. The other_payment_plans is none. The housing is rent. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>30</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>3622</td>
      <td>'&gt;=1000'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>57</td>
      <td>none</td>
      <td>rent</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 30 & 'existing paid' & furniture/equipment & 3622 & '>=1000' & '>=7' & 4 & none & 4 & 'life insurance' & 57 & none & rent & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 57, 'checking_status': ""'<0'"", 'credit_amount': 3622, 'credit_history': ""'existing paid'"", 'duration': 30, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'>=1000'""}",A 57-year-old female German Foreigner is applying for a loan of 3622 credits for 30 months for furniture or equipment purposes. She has a checking account with 0 Deutsche Mark and a savings with 1000 Deutsche Mark or more. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 2 credits at this bank. She is employed for more than seven years. She has lived in a rented apartment for 4 years.  She owns life insurance property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
103,male,'0<=X<200',12,'critical/other existing credit','new car',958,'<100','4<=X<7',2,none,3,'real estate',47,none,own,2,'unskilled resident',2,none,yes,good,"gender is male, checking_status is '0<=X<200', duration is 12, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 958, savings_status is '<100', employment is '4<=X<7', installment_commitment is 2, other_parties is none, residence_since is 3, property_magnitude is 'real estate', age is 47, other_payment_plans is none, housing is own, existing_credits is 2, job is 'unskilled resident', num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 12
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 958
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'real estate'
 - age : 47
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : 'unskilled resident'
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 12. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 958. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 2. The other_parties is none. The residence_since is 3. The property_magnitude is 'real estate'. The age is 47. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is 'unskilled resident'. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>12</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>958</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>2</td>
      <td>none</td>
      <td>3</td>
      <td>'real estate'</td>
      <td>47</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>'unskilled resident'</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 12 & 'critical/other existing credit' & 'new car' & 958 & '<100' & '4<=X<7' & 2 & none & 3 & 'real estate' & 47 & none & own & 2 & 'unskilled resident' & 2 & none & yes \\
\end{tabular}
","{'age': 47, 'checking_status': ""'0<=X<200'"", 'credit_amount': 958, 'credit_history': ""'critical/other existing credit'"", 'duration': 12, 'employment': ""'4<=X<7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': ""'unskilled resident'"", 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 3, 'savings_status': ""'<100'""}",A 47-year-old male German Foreigner is applying for a loan of 958 credits for 12 months for new car purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 2 credits at this bank. He is employed for more than four years but less than seven years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 3 years.  He owns some real estate property. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
104,male,'no checking',36,'critical/other existing credit','used car',5711,'>=1000','>=7',4,none,2,car,38,none,own,2,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 36, credit_history is 'critical/other existing credit', purpose is 'used car', credit_amount is 5711, savings_status is '>=1000', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is car, age is 38, other_payment_plans is none, housing is own, existing_credits is 2, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 36
 - credit_history : 'critical/other existing credit'
 - purpose : 'used car'
 - credit_amount : 5711
 - savings_status : '>=1000'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 38
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 36. The credit_history is 'critical/other existing credit'. The purpose is 'used car'. The credit_amount is 5711. The savings_status is '>=1000'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 38. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>36</td>
      <td>'critical/other existing credit'</td>
      <td>'used car'</td>
      <td>5711</td>
      <td>'&gt;=1000'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>38</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 36 & 'critical/other existing credit' & 'used car' & 5711 & '>=1000' & '>=7' & 4 & none & 2 & car & 38 & none & own & 2 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 38, 'checking_status': ""'no checking'"", 'credit_amount': 5711, 'credit_history': ""'critical/other existing credit'"", 'duration': 36, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': ""'used car'"", 'residence_since': 2, 'savings_status': ""'>=1000'""}",A 38-year-old male German Foreigner is applying for a loan of 5711 credits for 36 months for used car purposes. He has no checking account and a savings with 1000 Deutsche Mark or more. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 2 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
105,male,'no checking',24,'existing paid',radio/tv,3621,'100<=X<500','>=7',2,none,4,car,31,none,own,2,skilled,1,none,yes,bad,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 3621, savings_status is '100<=X<500', employment is '>=7', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is car, age is 31, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 3621
 - savings_status : '100<=X<500'
 - employment : '>=7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 31
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 24. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 3621. The savings_status is '100<=X<500'. The employment is '>=7'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 31. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>3621</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'&gt;=7'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>31</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 24 & 'existing paid' & radio/tv & 3621 & '100<=X<500' & '>=7' & 2 & none & 4 & car & 31 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 31, 'checking_status': ""'no checking'"", 'credit_amount': 3621, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'100<=X<500'""}",A 31-year-old male German Foreigner is applying for a loan of 3621 credits for 24 months for radio or tv purposes. He has no checking account and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 4 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
106,male,'<0',24,'no credits/all paid',furniture/equipment,4110,'<100','>=7',3,none,4,'no known property',23,bank,rent,2,skilled,2,none,yes,bad,"gender is male, checking_status is '<0', duration is 24, credit_history is 'no credits/all paid', purpose is furniture/equipment, credit_amount is 4110, savings_status is '<100', employment is '>=7', installment_commitment is 3, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 23, other_payment_plans is bank, housing is rent, existing_credits is 2, job is skilled, num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 24
 - credit_history : 'no credits/all paid'
 - purpose : furniture/equipment
 - credit_amount : 4110
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 23
 - other_payment_plans : bank
 - housing : rent
 - existing_credits : 2
 - job : skilled
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 24. The credit_history is 'no credits/all paid'. The purpose is furniture/equipment. The credit_amount is 4110. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 3. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 23. The other_payment_plans is bank. The housing is rent. The existing_credits is 2. The job is skilled. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>24</td>
      <td>'no credits/all paid'</td>
      <td>furniture/equipment</td>
      <td>4110</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>3</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>23</td>
      <td>bank</td>
      <td>rent</td>
      <td>2</td>
      <td>skilled</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 24 & 'no credits/all paid' & furniture/equipment & 4110 & '<100' & '>=7' & 3 & none & 4 & 'no known property' & 23 & bank & rent & 2 & skilled & 2 & none & yes \\
\end{tabular}
","{'age': 23, 'checking_status': ""'<0'"", 'credit_amount': 4110, 'credit_history': ""'no credits/all paid'"", 'duration': 24, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': ""'no known property'"", 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'<100'""}",A 23-year-old male German Foreigner is applying for a loan of 4110 credits for 24 months for furniture or equipment purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He did not take any credits at this bank or has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has other installment plans with a bank and 2 credits at this bank. He is employed for more than seven years. He has lived in a rented apartment for 4 years.  He owns no known property. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
107,female,'0<=X<200',12,'existing paid',radio/tv,2930,'<100','4<=X<7',2,none,1,'real estate',27,none,own,1,skilled,1,none,yes,good,"gender is female, checking_status is '0<=X<200', duration is 12, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 2930, savings_status is '<100', employment is '4<=X<7', installment_commitment is 2, other_parties is none, residence_since is 1, property_magnitude is 'real estate', age is 27, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 2930
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'real estate'
 - age : 27
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 12. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 2930. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 2. The other_parties is none. The residence_since is 1. The property_magnitude is 'real estate'. The age is 27. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>2930</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>2</td>
      <td>none</td>
      <td>1</td>
      <td>'real estate'</td>
      <td>27</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 12 & 'existing paid' & radio/tv & 2930 & '<100' & '4<=X<7' & 2 & none & 1 & 'real estate' & 27 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 27, 'checking_status': ""'0<=X<200'"", 'credit_amount': 2930, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 1, 'savings_status': ""'<100'""}",A 27-year-old female German Foreigner is applying for a loan of 2930 credits for 12 months for radio or tv purposes. She has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has no other installment plans and 1 credits at this bank. She is employed for more than four years but less than seven years. She has lived in a self-owned house for 1 years.  She owns some real estate property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
108,female,'<0',12,'existing paid',radio/tv,1498,'<100','1<=X<4',4,none,1,car,23,bank,own,1,skilled,1,none,yes,good,"gender is female, checking_status is '<0', duration is 12, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1498, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 1, property_magnitude is car, age is 23, other_payment_plans is bank, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1498
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 1
 - property_magnitude : car
 - age : 23
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 12. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1498. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 1. The property_magnitude is car. The age is 23. The other_payment_plans is bank. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1498</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>1</td>
      <td>car</td>
      <td>23</td>
      <td>bank</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 12 & 'existing paid' & radio/tv & 1498 & '<100' & '1<=X<4' & 4 & none & 1 & car & 23 & bank & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 23, 'checking_status': ""'<0'"", 'credit_amount': 1498, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 1, 'savings_status': ""'<100'""}",A 23-year-old female German Foreigner is applying for a loan of 1498 credits for 12 months for radio or tv purposes. She has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has other installment plans with a bank and 1 credits at this bank. She is employed for more than one year but less than four years. She has lived in a self-owned house for 1 years.  She owns a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
109,male,'no checking',24,'critical/other existing credit',radio/tv,2578,'>=1000','>=7',2,none,2,car,34,none,own,1,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 2578, savings_status is '>=1000', employment is '>=7', installment_commitment is 2, other_parties is none, residence_since is 2, property_magnitude is car, age is 34, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 2578
 - savings_status : '>=1000'
 - employment : '>=7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 34
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 24. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 2578. The savings_status is '>=1000'. The employment is '>=7'. The installment_commitment is 2. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 34. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>2578</td>
      <td>'&gt;=1000'</td>
      <td>'&gt;=7'</td>
      <td>2</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>34</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 24 & 'critical/other existing credit' & radio/tv & 2578 & '>=1000' & '>=7' & 2 & none & 2 & car & 34 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 34, 'checking_status': ""'no checking'"", 'credit_amount': 2578, 'credit_history': ""'critical/other existing credit'"", 'duration': 24, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'>=1000'""}",A 34-year-old male German Foreigner is applying for a loan of 2578 credits for 24 months for radio or tv purposes. He has no checking account and a savings with 1000 Deutsche Mark or more. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 2 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
110,male,'<0',24,'all paid',other,1358,'no known savings','>=7',4,none,3,car,40,stores,own,1,'high qualif/self emp/mgmt',1,yes,yes,bad,"gender is male, checking_status is '<0', duration is 24, credit_history is 'all paid', purpose is other, credit_amount is 1358, savings_status is 'no known savings', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 3, property_magnitude is car, age is 40, other_payment_plans is stores, housing is own, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 24
 - credit_history : 'all paid'
 - purpose : other
 - credit_amount : 1358
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : car
 - age : 40
 - other_payment_plans : stores
 - housing : own
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 24. The credit_history is 'all paid'. The purpose is other. The credit_amount is 1358. The savings_status is 'no known savings'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 3. The property_magnitude is car. The age is 40. The other_payment_plans is stores. The housing is own. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>24</td>
      <td>'all paid'</td>
      <td>other</td>
      <td>1358</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>car</td>
      <td>40</td>
      <td>stores</td>
      <td>own</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 24 & 'all paid' & other & 1358 & 'no known savings' & '>=7' & 4 & none & 3 & car & 40 & stores & own & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 40, 'checking_status': ""'<0'"", 'credit_amount': 1358, 'credit_history': ""'all paid'"", 'duration': 24, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'stores', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'other', 'residence_since': 3, 'savings_status': ""'no known savings'""}",A 40-year-old male German Foreigner is applying for a loan of 1358 credits for 24 months for other purposes. He has a checking account with 0 Deutsche Mark and no known savings. He has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a store and 1 credits at this bank. He is employed for more than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 3 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
111,male,'0<=X<200',36,'existing paid',education,2273,'<100','4<=X<7',3,none,1,car,32,none,own,2,skilled,2,none,yes,good,"gender is male, checking_status is '0<=X<200', duration is 36, credit_history is 'existing paid', purpose is education, credit_amount is 2273, savings_status is '<100', employment is '4<=X<7', installment_commitment is 3, other_parties is none, residence_since is 1, property_magnitude is car, age is 32, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 36
 - credit_history : 'existing paid'
 - purpose : education
 - credit_amount : 2273
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 1
 - property_magnitude : car
 - age : 32
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 36. The credit_history is 'existing paid'. The purpose is education. The credit_amount is 2273. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 3. The other_parties is none. The residence_since is 1. The property_magnitude is car. The age is 32. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>36</td>
      <td>'existing paid'</td>
      <td>education</td>
      <td>2273</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>3</td>
      <td>none</td>
      <td>1</td>
      <td>car</td>
      <td>32</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 36 & 'existing paid' & education & 2273 & '<100' & '4<=X<7' & 3 & none & 1 & car & 32 & none & own & 2 & skilled & 2 & none & yes \\
\end{tabular}
","{'age': 32, 'checking_status': ""'0<=X<200'"", 'credit_amount': 2273, 'credit_history': ""'existing paid'"", 'duration': 36, 'employment': ""'4<=X<7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'education', 'residence_since': 1, 'savings_status': ""'<100'""}",A 32-year-old male German Foreigner is applying for a loan of 2273 credits for 36 months for education purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 2 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 1 years.  He owns a car. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
112,male,'0<=X<200',12,'critical/other existing credit','new car',3124,'<100','<1',1,none,3,'real estate',49,bank,own,2,'unskilled resident',2,none,yes,good,"gender is male, checking_status is '0<=X<200', duration is 12, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 3124, savings_status is '<100', employment is '<1', installment_commitment is 1, other_parties is none, residence_since is 3, property_magnitude is 'real estate', age is 49, other_payment_plans is bank, housing is own, existing_credits is 2, job is 'unskilled resident', num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 12
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 3124
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'real estate'
 - age : 49
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 2
 - job : 'unskilled resident'
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 12. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 3124. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 1. The other_parties is none. The residence_since is 3. The property_magnitude is 'real estate'. The age is 49. The other_payment_plans is bank. The housing is own. The existing_credits is 2. The job is 'unskilled resident'. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>12</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>3124</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>1</td>
      <td>none</td>
      <td>3</td>
      <td>'real estate'</td>
      <td>49</td>
      <td>bank</td>
      <td>own</td>
      <td>2</td>
      <td>'unskilled resident'</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 12 & 'critical/other existing credit' & 'new car' & 3124 & '<100' & '<1' & 1 & none & 3 & 'real estate' & 49 & bank & own & 2 & 'unskilled resident' & 2 & none & yes \\
\end{tabular}
","{'age': 49, 'checking_status': ""'0<=X<200'"", 'credit_amount': 3124, 'credit_history': ""'critical/other existing credit'"", 'duration': 12, 'employment': ""'<1'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 1, 'job': ""'unskilled resident'"", 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 3, 'savings_status': ""'<100'""}",A 49-year-old male German Foreigner is applying for a loan of 3124 credits for 12 months for new car purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has other installment plans with a bank and 2 credits at this bank. He is employed for less than one years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 3 years.  He owns some real estate property. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
113,female,'0<=X<200',12,'no credits/all paid',furniture/equipment,2969,'<100','<1',4,none,3,'life insurance',25,none,rent,2,skilled,1,none,yes,bad,"gender is female, checking_status is '0<=X<200', duration is 12, credit_history is 'no credits/all paid', purpose is furniture/equipment, credit_amount is 2969, savings_status is '<100', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 3, property_magnitude is 'life insurance', age is 25, other_payment_plans is none, housing is rent, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 12
 - credit_history : 'no credits/all paid'
 - purpose : furniture/equipment
 - credit_amount : 2969
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'life insurance'
 - age : 25
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 12. The credit_history is 'no credits/all paid'. The purpose is furniture/equipment. The credit_amount is 2969. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 3. The property_magnitude is 'life insurance'. The age is 25. The other_payment_plans is none. The housing is rent. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>12</td>
      <td>'no credits/all paid'</td>
      <td>furniture/equipment</td>
      <td>2969</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>'life insurance'</td>
      <td>25</td>
      <td>none</td>
      <td>rent</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 12 & 'no credits/all paid' & furniture/equipment & 2969 & '<100' & '<1' & 4 & none & 3 & 'life insurance' & 25 & none & rent & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 25, 'checking_status': ""'0<=X<200'"", 'credit_amount': 2969, 'credit_history': ""'no credits/all paid'"", 'duration': 12, 'employment': ""'<1'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 3, 'savings_status': ""'<100'""}",A 25-year-old female German Foreigner is applying for a loan of 2969 credits for 12 months for furniture or equipment purposes. She has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She did not take any credits at this bank or has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 2 credits at this bank. She is employed for less than one years. She has lived in a rented apartment for 3 years.  She owns life insurance property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
114,female,'>=200',12,'existing paid',furniture/equipment,1424,'no known savings','>=7',3,none,4,'real estate',55,none,own,1,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is female, checking_status is '>=200', duration is 12, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 1424, savings_status is 'no known savings', employment is '>=7', installment_commitment is 3, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 55, other_payment_plans is none, housing is own, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '>=200'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 1424
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 55
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '>=200'. The duration is 12. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 1424. The savings_status is 'no known savings'. The employment is '>=7'. The installment_commitment is 3. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 55. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&gt;=200'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>1424</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>3</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>55</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '>=200' & 12 & 'existing paid' & furniture/equipment & 1424 & 'no known savings' & '>=7' & 3 & none & 4 & 'real estate' & 55 & none & own & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 55, 'checking_status': ""'>=200'"", 'credit_amount': 1424, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 3, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 55-year-old female German Foreigner is applying for a loan of 1424 credits for 12 months for furniture or equipment purposes. She has a checking account with 200 Deutsche Mark or more and no known savings. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. She has no other installment plans and 1 credits at this bank. She is employed for more than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. She has lived in a self-owned house for 4 years.  She owns some real estate property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
115,male,'no checking',24,'existing paid','used car',2670,'<100','>=7',4,none,4,car,35,none,own,1,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'existing paid', purpose is 'used car', credit_amount is 2670, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is car, age is 35, other_payment_plans is none, housing is own, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : 'used car'
 - credit_amount : 2670
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 35
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 24. The credit_history is 'existing paid'. The purpose is 'used car'. The credit_amount is 2670. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 35. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>'used car'</td>
      <td>2670</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>35</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 24 & 'existing paid' & 'used car' & 2670 & '<100' & '>=7' & 4 & none & 4 & car & 35 & none & own & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 35, 'checking_status': ""'no checking'"", 'credit_amount': 2670, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 35-year-old male German Foreigner is applying for a loan of 2670 credits for 24 months for used car purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 4 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
116,male,'no checking',9,'existing paid',radio/tv,1478,'<100','4<=X<7',4,none,2,car,22,none,own,1,skilled,1,none,yes,bad,"gender is male, checking_status is 'no checking', duration is 9, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1478, savings_status is '<100', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is car, age is 22, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 9
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1478
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 22
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 9. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1478. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 22. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>9</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1478</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>22</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 9 & 'existing paid' & radio/tv & 1478 & '<100' & '4<=X<7' & 4 & none & 2 & car & 22 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 22, 'checking_status': ""'no checking'"", 'credit_amount': 1478, 'credit_history': ""'existing paid'"", 'duration': 9, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 22-year-old male German Foreigner is applying for a loan of 1478 credits for 9 months for radio or tv purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 2 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
117,male,'no checking',18,'critical/other existing credit','used car',3229,'no known savings',unemployed,2,none,4,'no known property',38,none,own,1,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 18, credit_history is 'critical/other existing credit', purpose is 'used car', credit_amount is 3229, savings_status is 'no known savings', employment is unemployed, installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 38, other_payment_plans is none, housing is own, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 18
 - credit_history : 'critical/other existing credit'
 - purpose : 'used car'
 - credit_amount : 3229
 - savings_status : 'no known savings'
 - employment : unemployed
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 38
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 18. The credit_history is 'critical/other existing credit'. The purpose is 'used car'. The credit_amount is 3229. The savings_status is 'no known savings'. The employment is unemployed. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 38. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>18</td>
      <td>'critical/other existing credit'</td>
      <td>'used car'</td>
      <td>3229</td>
      <td>'no known savings'</td>
      <td>unemployed</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>38</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 18 & 'critical/other existing credit' & 'used car' & 3229 & 'no known savings' & unemployed & 2 & none & 4 & 'no known property' & 38 & none & own & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 38, 'checking_status': ""'no checking'"", 'credit_amount': 3229, 'credit_history': ""'critical/other existing credit'"", 'duration': 18, 'employment': 'unemployed', 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 38-year-old male German Foreigner is applying for a loan of 3229 credits for 18 months for used car purposes. He has no checking account and no known savings. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is unemployed and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 4 years.  He owns no known property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
118,female,'0<=X<200',48,'all paid',business,6416,'<100','>=7',4,none,3,'no known property',59,none,rent,1,skilled,1,none,yes,bad,"gender is female, checking_status is '0<=X<200', duration is 48, credit_history is 'all paid', purpose is business, credit_amount is 6416, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 3, property_magnitude is 'no known property', age is 59, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 48
 - credit_history : 'all paid'
 - purpose : business
 - credit_amount : 6416
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'no known property'
 - age : 59
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 48. The credit_history is 'all paid'. The purpose is business. The credit_amount is 6416. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 3. The property_magnitude is 'no known property'. The age is 59. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>48</td>
      <td>'all paid'</td>
      <td>business</td>
      <td>6416</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>'no known property'</td>
      <td>59</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 48 & 'all paid' & business & 6416 & '<100' & '>=7' & 4 & none & 3 & 'no known property' & 59 & none & rent & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 59, 'checking_status': ""'0<=X<200'"", 'credit_amount': 6416, 'credit_history': ""'all paid'"", 'duration': 48, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'no known property'"", 'purpose': 'business', 'residence_since': 3, 'savings_status': ""'<100'""}",A 59-year-old female German Foreigner is applying for a loan of 6416 credits for 48 months for business purposes. She has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for more than seven years. She has lived in a rented apartment for 3 years.  She owns no known property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
119,male,'<0',27,'no credits/all paid',business,5293,'<100',unemployed,2,none,4,'life insurance',50,stores,own,2,skilled,1,yes,yes,bad,"gender is male, checking_status is '<0', duration is 27, credit_history is 'no credits/all paid', purpose is business, credit_amount is 5293, savings_status is '<100', employment is unemployed, installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 50, other_payment_plans is stores, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 27
 - credit_history : 'no credits/all paid'
 - purpose : business
 - credit_amount : 5293
 - savings_status : '<100'
 - employment : unemployed
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 50
 - other_payment_plans : stores
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 27. The credit_history is 'no credits/all paid'. The purpose is business. The credit_amount is 5293. The savings_status is '<100'. The employment is unemployed. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 50. The other_payment_plans is stores. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>27</td>
      <td>'no credits/all paid'</td>
      <td>business</td>
      <td>5293</td>
      <td>'&lt;100'</td>
      <td>unemployed</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>50</td>
      <td>stores</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 27 & 'no credits/all paid' & business & 5293 & '<100' & unemployed & 2 & none & 4 & 'life insurance' & 50 & stores & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 50, 'checking_status': ""'<0'"", 'credit_amount': 5293, 'credit_history': ""'no credits/all paid'"", 'duration': 27, 'employment': 'unemployed', 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'stores', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': 'business', 'residence_since': 4, 'savings_status': ""'<100'""}",A 50-year-old male German Foreigner is applying for a loan of 5293 credits for 27 months for business purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He did not take any credits at this bank or has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has other installment plans with a store and 2 credits at this bank. He is unemployed. He has lived in a self-owned house for 4 years.  He owns life insurance property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
120,male,'0<=X<200',30,'existing paid',furniture/equipment,3832,'<100','<1',2,none,1,'life insurance',22,none,own,1,skilled,1,none,yes,good,"gender is male, checking_status is '0<=X<200', duration is 30, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 3832, savings_status is '<100', employment is '<1', installment_commitment is 2, other_parties is none, residence_since is 1, property_magnitude is 'life insurance', age is 22, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 30
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 3832
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'life insurance'
 - age : 22
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 30. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 3832. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 2. The other_parties is none. The residence_since is 1. The property_magnitude is 'life insurance'. The age is 22. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>30</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>3832</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>2</td>
      <td>none</td>
      <td>1</td>
      <td>'life insurance'</td>
      <td>22</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 30 & 'existing paid' & furniture/equipment & 3832 & '<100' & '<1' & 2 & none & 1 & 'life insurance' & 22 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 22, 'checking_status': ""'0<=X<200'"", 'credit_amount': 3832, 'credit_history': ""'existing paid'"", 'duration': 30, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 1, 'savings_status': ""'<100'""}",A 22-year-old male German Foreigner is applying for a loan of 3832 credits for 30 months for furniture or equipment purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for less than one years. He has lived in a self-owned house for 1 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
121,male,'<0',36,'critical/other existing credit',furniture/equipment,5371,'<100','1<=X<4',3,guarantor,2,'life insurance',28,none,own,2,skilled,1,none,yes,good,"gender is male, checking_status is '<0', duration is 36, credit_history is 'critical/other existing credit', purpose is furniture/equipment, credit_amount is 5371, savings_status is '<100', employment is '1<=X<4', installment_commitment is 3, other_parties is guarantor, residence_since is 2, property_magnitude is 'life insurance', age is 28, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 36
 - credit_history : 'critical/other existing credit'
 - purpose : furniture/equipment
 - credit_amount : 5371
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 3
 - other_parties : guarantor
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 28
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 36. The credit_history is 'critical/other existing credit'. The purpose is furniture/equipment. The credit_amount is 5371. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 3. The other_parties is guarantor. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 28. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>36</td>
      <td>'critical/other existing credit'</td>
      <td>furniture/equipment</td>
      <td>5371</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>3</td>
      <td>guarantor</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>28</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 36 & 'critical/other existing credit' & furniture/equipment & 5371 & '<100' & '1<=X<4' & 3 & guarantor & 2 & 'life insurance' & 28 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 28, 'checking_status': ""'<0'"", 'credit_amount': 5371, 'credit_history': ""'critical/other existing credit'"", 'duration': 36, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'guarantor', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 2, 'savings_status': ""'<100'""}",A 28-year-old male German Foreigner is applying for a loan of 5371 credits for 36 months for furniture or equipment purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There is a guarantor associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 2 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 2 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
122,male,'>=200',24,'critical/other existing credit','new car',1344,'no known savings','4<=X<7',4,none,2,'real estate',37,bank,own,2,'unskilled resident',2,none,yes,bad,"gender is male, checking_status is '>=200', duration is 24, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 1344, savings_status is 'no known savings', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 37, other_payment_plans is bank, housing is own, existing_credits is 2, job is 'unskilled resident', num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '>=200'
 - duration : 24
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 1344
 - savings_status : 'no known savings'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 37
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 2
 - job : 'unskilled resident'
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '>=200'. The duration is 24. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 1344. The savings_status is 'no known savings'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 37. The other_payment_plans is bank. The housing is own. The existing_credits is 2. The job is 'unskilled resident'. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&gt;=200'</td>
      <td>24</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>1344</td>
      <td>'no known savings'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>37</td>
      <td>bank</td>
      <td>own</td>
      <td>2</td>
      <td>'unskilled resident'</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '>=200' & 24 & 'critical/other existing credit' & 'new car' & 1344 & 'no known savings' & '4<=X<7' & 4 & none & 2 & 'real estate' & 37 & bank & own & 2 & 'unskilled resident' & 2 & none & yes \\
\end{tabular}
","{'age': 37, 'checking_status': ""'>=200'"", 'credit_amount': 1344, 'credit_history': ""'critical/other existing credit'"", 'duration': 24, 'employment': ""'4<=X<7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'no known savings'""}",A 37-year-old male German Foreigner is applying for a loan of 1344 credits for 24 months for new car purposes. He has a checking account with 200 Deutsche Mark or more and no known savings. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a bank and 2 credits at this bank. He is employed for more than four years but less than seven years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 2 years.  He owns some real estate property. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
123,male,'no checking',42,'critical/other existing credit',furniture/equipment,4042,'500<=X<1000','1<=X<4',4,none,4,'real estate',36,none,own,2,skilled,1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 42, credit_history is 'critical/other existing credit', purpose is furniture/equipment, credit_amount is 4042, savings_status is '500<=X<1000', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 36, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 42
 - credit_history : 'critical/other existing credit'
 - purpose : furniture/equipment
 - credit_amount : 4042
 - savings_status : '500<=X<1000'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 36
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 42. The credit_history is 'critical/other existing credit'. The purpose is furniture/equipment. The credit_amount is 4042. The savings_status is '500<=X<1000'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 36. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>42</td>
      <td>'critical/other existing credit'</td>
      <td>furniture/equipment</td>
      <td>4042</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>36</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 42 & 'critical/other existing credit' & furniture/equipment & 4042 & '500<=X<1000' & '1<=X<4' & 4 & none & 4 & 'real estate' & 36 & none & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 36, 'checking_status': ""'no checking'"", 'credit_amount': 4042, 'credit_history': ""'critical/other existing credit'"", 'duration': 42, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'500<=X<1000'""}",A 36-year-old male German Foreigner is applying for a loan of 4042 credits for 42 months for furniture or equipment purposes. He has no checking account and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 4 years.  He owns some real estate property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
124,female,'<0',18,'existing paid',radio/tv,3509,'<100','4<=X<7',4,guarantor,1,'real estate',25,none,own,1,skilled,1,none,yes,good,"gender is female, checking_status is '<0', duration is 18, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 3509, savings_status is '<100', employment is '4<=X<7', installment_commitment is 4, other_parties is guarantor, residence_since is 1, property_magnitude is 'real estate', age is 25, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 3509
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : guarantor
 - residence_since : 1
 - property_magnitude : 'real estate'
 - age : 25
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 18. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 3509. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is guarantor. The residence_since is 1. The property_magnitude is 'real estate'. The age is 25. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>18</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>3509</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>guarantor</td>
      <td>1</td>
      <td>'real estate'</td>
      <td>25</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 18 & 'existing paid' & radio/tv & 3509 & '<100' & '4<=X<7' & 4 & guarantor & 1 & 'real estate' & 25 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 25, 'checking_status': ""'<0'"", 'credit_amount': 3509, 'credit_history': ""'existing paid'"", 'duration': 18, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'guarantor', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 1, 'savings_status': ""'<100'""}",A 25-year-old female German Foreigner is applying for a loan of 3509 credits for 18 months for radio or tv purposes. She has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There is a guarantor associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for more than four years but less than seven years. She has lived in a self-owned house for 1 years.  She owns some real estate property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
125,male,'>=200',15,'critical/other existing credit','used car',2360,'500<=X<1000','1<=X<4',2,none,2,car,36,none,own,1,skilled,1,yes,yes,good,"gender is male, checking_status is '>=200', duration is 15, credit_history is 'critical/other existing credit', purpose is 'used car', credit_amount is 2360, savings_status is '500<=X<1000', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 2, property_magnitude is car, age is 36, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '>=200'
 - duration : 15
 - credit_history : 'critical/other existing credit'
 - purpose : 'used car'
 - credit_amount : 2360
 - savings_status : '500<=X<1000'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 36
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '>=200'. The duration is 15. The credit_history is 'critical/other existing credit'. The purpose is 'used car'. The credit_amount is 2360. The savings_status is '500<=X<1000'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 36. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&gt;=200'</td>
      <td>15</td>
      <td>'critical/other existing credit'</td>
      <td>'used car'</td>
      <td>2360</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>36</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '>=200' & 15 & 'critical/other existing credit' & 'used car' & 2360 & '500<=X<1000' & '1<=X<4' & 2 & none & 2 & car & 36 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 36, 'checking_status': ""'>=200'"", 'credit_amount': 2360, 'credit_history': ""'critical/other existing credit'"", 'duration': 15, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': ""'used car'"", 'residence_since': 2, 'savings_status': ""'500<=X<1000'""}",A 36-year-old male German Foreigner is applying for a loan of 2360 credits for 15 months for used car purposes. He has a checking account with 200 Deutsche Mark or more and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 2 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
126,male,'0<=X<200',18,'existing paid',radio/tv,3213,'500<=X<1000','<1',1,none,3,'real estate',25,none,rent,1,skilled,1,none,yes,good,"gender is male, checking_status is '0<=X<200', duration is 18, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 3213, savings_status is '500<=X<1000', employment is '<1', installment_commitment is 1, other_parties is none, residence_since is 3, property_magnitude is 'real estate', age is 25, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 3213
 - savings_status : '500<=X<1000'
 - employment : '<1'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'real estate'
 - age : 25
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 18. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 3213. The savings_status is '500<=X<1000'. The employment is '<1'. The installment_commitment is 1. The other_parties is none. The residence_since is 3. The property_magnitude is 'real estate'. The age is 25. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>18</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>3213</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>'&lt;1'</td>
      <td>1</td>
      <td>none</td>
      <td>3</td>
      <td>'real estate'</td>
      <td>25</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 18 & 'existing paid' & radio/tv & 3213 & '500<=X<1000' & '<1' & 1 & none & 3 & 'real estate' & 25 & none & rent & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 25, 'checking_status': ""'0<=X<200'"", 'credit_amount': 3213, 'credit_history': ""'existing paid'"", 'duration': 18, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 3, 'savings_status': ""'500<=X<1000'""}",A 25-year-old male German Foreigner is applying for a loan of 3213 credits for 18 months for radio or tv purposes. He has a checking account with less than 200 Deutsche Mark and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 1 credits at this bank. He is employed for less than one years. He has lived in a rented apartment for 3 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
127,male,'0<=X<200',6,'delayed previously','new car',1209,'<100',unemployed,4,none,4,'life insurance',47,none,own,1,'high qualif/self emp/mgmt',1,yes,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 6, credit_history is 'delayed previously', purpose is 'new car', credit_amount is 1209, savings_status is '<100', employment is unemployed, installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 47, other_payment_plans is none, housing is own, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 6
 - credit_history : 'delayed previously'
 - purpose : 'new car'
 - credit_amount : 1209
 - savings_status : '<100'
 - employment : unemployed
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 47
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 6. The credit_history is 'delayed previously'. The purpose is 'new car'. The credit_amount is 1209. The savings_status is '<100'. The employment is unemployed. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 47. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>6</td>
      <td>'delayed previously'</td>
      <td>'new car'</td>
      <td>1209</td>
      <td>'&lt;100'</td>
      <td>unemployed</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>47</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 6 & 'delayed previously' & 'new car' & 1209 & '<100' & unemployed & 4 & none & 4 & 'life insurance' & 47 & none & own & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 47, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1209, 'credit_history': ""'delayed previously'"", 'duration': 6, 'employment': 'unemployed', 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 47-year-old male German Foreigner is applying for a loan of 1209 credits for 6 months for new car purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is unemployed and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 4 years.  He owns life insurance property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
128,female,'<0',6,'all paid',education,1198,'<100','>=7',4,none,4,'no known property',35,none,'for free',1,skilled,1,none,yes,bad,"gender is female, checking_status is '<0', duration is 6, credit_history is 'all paid', purpose is education, credit_amount is 1198, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 35, other_payment_plans is none, housing is 'for free', existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 6
 - credit_history : 'all paid'
 - purpose : education
 - credit_amount : 1198
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 35
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 6. The credit_history is 'all paid'. The purpose is education. The credit_amount is 1198. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 35. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>6</td>
      <td>'all paid'</td>
      <td>education</td>
      <td>1198</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>35</td>
      <td>none</td>
      <td>'for free'</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 6 & 'all paid' & education & 1198 & '<100' & '>=7' & 4 & none & 4 & 'no known property' & 35 & none & 'for free' & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 35, 'checking_status': ""'<0'"", 'credit_amount': 1198, 'credit_history': ""'all paid'"", 'duration': 6, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': ""'for free'"", 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'no known property'"", 'purpose': 'education', 'residence_since': 4, 'savings_status': ""'<100'""}",A 35-year-old female German Foreigner is applying for a loan of 1198 credits for 6 months for education purposes. She has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for more than seven years. She has lived in a free accommodation for 4 years.  She owns no known property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
129,male,'no checking',18,'existing paid',furniture/equipment,1984,'<100','1<=X<4',4,none,4,'no known property',47,bank,'for free',2,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 18, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 1984, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 47, other_payment_plans is bank, housing is 'for free', existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 1984
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 47
 - other_payment_plans : bank
 - housing : 'for free'
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 18. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 1984. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 47. The other_payment_plans is bank. The housing is 'for free'. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>18</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>1984</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>47</td>
      <td>bank</td>
      <td>'for free'</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 18 & 'existing paid' & furniture/equipment & 1984 & '<100' & '1<=X<4' & 4 & none & 4 & 'no known property' & 47 & bank & 'for free' & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 47, 'checking_status': ""'no checking'"", 'credit_amount': 1984, 'credit_history': ""'existing paid'"", 'duration': 18, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': ""'no known property'"", 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'<100'""}",A 47-year-old male German Foreigner is applying for a loan of 1984 credits for 18 months for furniture or equipment purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a bank and 2 credits at this bank. He is employed for more than one year but less than four years. He has lived in a free accommodation for 4 years.  He owns no known property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
130,male,'0<=X<200',30,'delayed previously',business,2503,'100<=X<500','>=7',4,none,2,'life insurance',41,stores,own,2,skilled,1,none,yes,good,"gender is male, checking_status is '0<=X<200', duration is 30, credit_history is 'delayed previously', purpose is business, credit_amount is 2503, savings_status is '100<=X<500', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is 'life insurance', age is 41, other_payment_plans is stores, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 30
 - credit_history : 'delayed previously'
 - purpose : business
 - credit_amount : 2503
 - savings_status : '100<=X<500'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 41
 - other_payment_plans : stores
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 30. The credit_history is 'delayed previously'. The purpose is business. The credit_amount is 2503. The savings_status is '100<=X<500'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 41. The other_payment_plans is stores. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>30</td>
      <td>'delayed previously'</td>
      <td>business</td>
      <td>2503</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>41</td>
      <td>stores</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 30 & 'delayed previously' & business & 2503 & '100<=X<500' & '>=7' & 4 & none & 2 & 'life insurance' & 41 & stores & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 41, 'checking_status': ""'0<=X<200'"", 'credit_amount': 2503, 'credit_history': ""'delayed previously'"", 'duration': 30, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'stores', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'business', 'residence_since': 2, 'savings_status': ""'100<=X<500'""}",A 41-year-old male German Foreigner is applying for a loan of 2503 credits for 30 months for business purposes. He has a checking account with less than 200 Deutsche Mark and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a store and 2 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 2 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
131,male,'no checking',24,'existing paid',furniture/equipment,5511,'100<=X<500','1<=X<4',4,none,1,car,25,stores,own,1,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 5511, savings_status is '100<=X<500', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 1, property_magnitude is car, age is 25, other_payment_plans is stores, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 5511
 - savings_status : '100<=X<500'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 1
 - property_magnitude : car
 - age : 25
 - other_payment_plans : stores
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 24. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 5511. The savings_status is '100<=X<500'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 1. The property_magnitude is car. The age is 25. The other_payment_plans is stores. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>5511</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>1</td>
      <td>car</td>
      <td>25</td>
      <td>stores</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 24 & 'existing paid' & furniture/equipment & 5511 & '100<=X<500' & '1<=X<4' & 4 & none & 1 & car & 25 & stores & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 25, 'checking_status': ""'no checking'"", 'credit_amount': 5511, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'stores', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'furniture/equipment', 'residence_since': 1, 'savings_status': ""'100<=X<500'""}",A 25-year-old male German Foreigner is applying for a loan of 5511 credits for 24 months for furniture or equipment purposes. He has no checking account and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a store and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 1 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
132,female,'<0',12,'existing paid','new car',1228,'<100','1<=X<4',4,none,2,'real estate',24,none,own,1,'unskilled resident',1,none,yes,bad,"gender is female, checking_status is '<0', duration is 12, credit_history is 'existing paid', purpose is 'new car', credit_amount is 1228, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 24, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 1228
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 24
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 12. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 1228. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 24. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>1228</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>24</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 12 & 'existing paid' & 'new car' & 1228 & '<100' & '1<=X<4' & 4 & none & 2 & 'real estate' & 24 & none & own & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 24, 'checking_status': ""'<0'"", 'credit_amount': 1228, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'<100'""}",A 24-year-old female German Foreigner is applying for a loan of 1228 credits for 12 months for new car purposes. She has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for more than one year but less than four years and is recognized as an unskilled resident individual. She has lived in a self-owned house for 2 years.  She owns some real estate property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
133,male,'no checking',9,'existing paid',education,3832,'no known savings','>=7',1,none,4,'real estate',64,none,own,1,'unskilled resident',1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 9, credit_history is 'existing paid', purpose is education, credit_amount is 3832, savings_status is 'no known savings', employment is '>=7', installment_commitment is 1, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 64, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 9
 - credit_history : 'existing paid'
 - purpose : education
 - credit_amount : 3832
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 64
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 9. The credit_history is 'existing paid'. The purpose is education. The credit_amount is 3832. The savings_status is 'no known savings'. The employment is '>=7'. The installment_commitment is 1. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 64. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>9</td>
      <td>'existing paid'</td>
      <td>education</td>
      <td>3832</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>1</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>64</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 9 & 'existing paid' & education & 3832 & 'no known savings' & '>=7' & 1 & none & 4 & 'real estate' & 64 & none & own & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 64, 'checking_status': ""'no checking'"", 'credit_amount': 3832, 'credit_history': ""'existing paid'"", 'duration': 9, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 1, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'education', 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 64-year-old male German Foreigner is applying for a loan of 3832 credits for 9 months for education purposes. He has no checking account and no known savings. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 4 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
134,male,'<0',6,'critical/other existing credit',radio/tv,1169,'no known savings','>=7',4,none,4,'real estate',67,none,own,2,skilled,1,yes,yes,good,"gender is male, checking_status is '<0', duration is 6, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 1169, savings_status is 'no known savings', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 67, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 6
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 1169
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 67
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 6. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 1169. The savings_status is 'no known savings'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 67. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>6</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>1169</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>67</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 6 & 'critical/other existing credit' & radio/tv & 1169 & 'no known savings' & '>=7' & 4 & none & 4 & 'real estate' & 67 & none & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 67, 'checking_status': ""'<0'"", 'credit_amount': 1169, 'credit_history': ""'critical/other existing credit'"", 'duration': 6, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 67-year-old male German Foreigner is applying for a loan of 1169 credits for 6 months for radio or tv purposes. He has a checking account with 0 Deutsche Mark and no known savings. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 4 years.  He owns some real estate property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
135,male,'<0',12,'existing paid',furniture/equipment,708,'<100','1<=X<4',2,guarantor,3,'life insurance',38,none,own,1,'unskilled resident',2,none,yes,good,"gender is male, checking_status is '<0', duration is 12, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 708, savings_status is '<100', employment is '1<=X<4', installment_commitment is 2, other_parties is guarantor, residence_since is 3, property_magnitude is 'life insurance', age is 38, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 708
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : guarantor
 - residence_since : 3
 - property_magnitude : 'life insurance'
 - age : 38
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 12. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 708. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is guarantor. The residence_since is 3. The property_magnitude is 'life insurance'. The age is 38. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>708</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>guarantor</td>
      <td>3</td>
      <td>'life insurance'</td>
      <td>38</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 12 & 'existing paid' & furniture/equipment & 708 & '<100' & '1<=X<4' & 2 & guarantor & 3 & 'life insurance' & 38 & none & own & 1 & 'unskilled resident' & 2 & none & yes \\
\end{tabular}
","{'age': 38, 'checking_status': ""'<0'"", 'credit_amount': 708, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': ""'unskilled resident'"", 'num_dependents': 2, 'other_parties': 'guarantor', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 3, 'savings_status': ""'<100'""}",A 38-year-old male German Foreigner is applying for a loan of 708 credits for 12 months for furniture or equipment purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There is a guarantor associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 3 years.  He owns life insurance property. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
136,male,'0<=X<200',48,'existing paid','new car',6560,'100<=X<500','4<=X<7',3,none,2,'life insurance',24,none,own,1,skilled,1,none,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 48, credit_history is 'existing paid', purpose is 'new car', credit_amount is 6560, savings_status is '100<=X<500', employment is '4<=X<7', installment_commitment is 3, other_parties is none, residence_since is 2, property_magnitude is 'life insurance', age is 24, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 48
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 6560
 - savings_status : '100<=X<500'
 - employment : '4<=X<7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 24
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 48. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 6560. The savings_status is '100<=X<500'. The employment is '4<=X<7'. The installment_commitment is 3. The other_parties is none. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 24. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>48</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>6560</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>3</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>24</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 48 & 'existing paid' & 'new car' & 6560 & '100<=X<500' & '4<=X<7' & 3 & none & 2 & 'life insurance' & 24 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 24, 'checking_status': ""'0<=X<200'"", 'credit_amount': 6560, 'credit_history': ""'existing paid'"", 'duration': 48, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'100<=X<500'""}",A 24-year-old male German Foreigner is applying for a loan of 6560 credits for 48 months for new car purposes. He has a checking account with less than 200 Deutsche Mark and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 1 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 2 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
137,male,'no checking',24,'existing paid',radio/tv,1552,'<100','4<=X<7',3,none,1,car,32,bank,own,1,skilled,2,none,yes,good,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1552, savings_status is '<100', employment is '4<=X<7', installment_commitment is 3, other_parties is none, residence_since is 1, property_magnitude is car, age is 32, other_payment_plans is bank, housing is own, existing_credits is 1, job is skilled, num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1552
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 1
 - property_magnitude : car
 - age : 32
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 24. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1552. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 3. The other_parties is none. The residence_since is 1. The property_magnitude is car. The age is 32. The other_payment_plans is bank. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1552</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>3</td>
      <td>none</td>
      <td>1</td>
      <td>car</td>
      <td>32</td>
      <td>bank</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 24 & 'existing paid' & radio/tv & 1552 & '<100' & '4<=X<7' & 3 & none & 1 & car & 32 & bank & own & 1 & skilled & 2 & none & yes \\
\end{tabular}
","{'age': 32, 'checking_status': ""'no checking'"", 'credit_amount': 1552, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 1, 'savings_status': ""'<100'""}",A 32-year-old male German Foreigner is applying for a loan of 1552 credits for 24 months for radio or tv purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has other installment plans with a bank and 1 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 1 years.  He owns a car. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
138,male,'<0',24,'critical/other existing credit',business,1382,'100<=X<500','4<=X<7',4,none,1,'real estate',26,none,own,2,skilled,1,yes,yes,good,"gender is male, checking_status is '<0', duration is 24, credit_history is 'critical/other existing credit', purpose is business, credit_amount is 1382, savings_status is '100<=X<500', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 1, property_magnitude is 'real estate', age is 26, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 24
 - credit_history : 'critical/other existing credit'
 - purpose : business
 - credit_amount : 1382
 - savings_status : '100<=X<500'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'real estate'
 - age : 26
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 24. The credit_history is 'critical/other existing credit'. The purpose is business. The credit_amount is 1382. The savings_status is '100<=X<500'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is none. The residence_since is 1. The property_magnitude is 'real estate'. The age is 26. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>24</td>
      <td>'critical/other existing credit'</td>
      <td>business</td>
      <td>1382</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>1</td>
      <td>'real estate'</td>
      <td>26</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 24 & 'critical/other existing credit' & business & 1382 & '100<=X<500' & '4<=X<7' & 4 & none & 1 & 'real estate' & 26 & none & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 26, 'checking_status': ""'<0'"", 'credit_amount': 1382, 'credit_history': ""'critical/other existing credit'"", 'duration': 24, 'employment': ""'4<=X<7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': 'business', 'residence_since': 1, 'savings_status': ""'100<=X<500'""}",A 26-year-old male German Foreigner is applying for a loan of 1382 credits for 24 months for business purposes. He has a checking account with 0 Deutsche Mark and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 1 years.  He owns some real estate property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
139,male,'no checking',12,'delayed previously','used car',1503,'<100','1<=X<4',4,none,4,'real estate',41,none,rent,1,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 12, credit_history is 'delayed previously', purpose is 'used car', credit_amount is 1503, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 41, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'delayed previously'
 - purpose : 'used car'
 - credit_amount : 1503
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 41
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 12. The credit_history is 'delayed previously'. The purpose is 'used car'. The credit_amount is 1503. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 41. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>12</td>
      <td>'delayed previously'</td>
      <td>'used car'</td>
      <td>1503</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>41</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 12 & 'delayed previously' & 'used car' & 1503 & '<100' & '1<=X<4' & 4 & none & 4 & 'real estate' & 41 & none & rent & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 41, 'checking_status': ""'no checking'"", 'credit_amount': 1503, 'credit_history': ""'delayed previously'"", 'duration': 12, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 41-year-old male German Foreigner is applying for a loan of 1503 credits for 12 months for used car purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a rented apartment for 4 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
140,male,'>=200',24,'existing paid',radio/tv,5152,'<100','4<=X<7',4,none,2,car,25,bank,own,1,skilled,1,none,yes,good,"gender is male, checking_status is '>=200', duration is 24, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 5152, savings_status is '<100', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is car, age is 25, other_payment_plans is bank, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '>=200'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 5152
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 25
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '>=200'. The duration is 24. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 5152. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 25. The other_payment_plans is bank. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&gt;=200'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>5152</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>25</td>
      <td>bank</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '>=200' & 24 & 'existing paid' & radio/tv & 5152 & '<100' & '4<=X<7' & 4 & none & 2 & car & 25 & bank & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 25, 'checking_status': ""'>=200'"", 'credit_amount': 5152, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 25-year-old male German Foreigner is applying for a loan of 5152 credits for 24 months for radio or tv purposes. He has a checking account with 200 Deutsche Mark or more and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a bank and 1 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 2 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
141,male,'0<=X<200',18,'delayed previously','new car',2899,'no known savings','>=7',4,none,4,car,43,none,own,1,skilled,2,none,yes,good,"gender is male, checking_status is '0<=X<200', duration is 18, credit_history is 'delayed previously', purpose is 'new car', credit_amount is 2899, savings_status is 'no known savings', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is car, age is 43, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 18
 - credit_history : 'delayed previously'
 - purpose : 'new car'
 - credit_amount : 2899
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 43
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 18. The credit_history is 'delayed previously'. The purpose is 'new car'. The credit_amount is 2899. The savings_status is 'no known savings'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 43. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>18</td>
      <td>'delayed previously'</td>
      <td>'new car'</td>
      <td>2899</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>43</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 18 & 'delayed previously' & 'new car' & 2899 & 'no known savings' & '>=7' & 4 & none & 4 & car & 43 & none & own & 1 & skilled & 2 & none & yes \\
\end{tabular}
","{'age': 43, 'checking_status': ""'0<=X<200'"", 'credit_amount': 2899, 'credit_history': ""'delayed previously'"", 'duration': 18, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 43-year-old male German Foreigner is applying for a loan of 2899 credits for 18 months for new car purposes. He has a checking account with less than 200 Deutsche Mark and no known savings. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 4 years.  He owns a car. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
142,female,'0<=X<200',24,'delayed previously',furniture/equipment,2064,'<100',unemployed,3,none,2,'life insurance',34,none,own,1,'high qualif/self emp/mgmt',1,yes,yes,bad,"gender is female, checking_status is '0<=X<200', duration is 24, credit_history is 'delayed previously', purpose is furniture/equipment, credit_amount is 2064, savings_status is '<100', employment is unemployed, installment_commitment is 3, other_parties is none, residence_since is 2, property_magnitude is 'life insurance', age is 34, other_payment_plans is none, housing is own, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 24
 - credit_history : 'delayed previously'
 - purpose : furniture/equipment
 - credit_amount : 2064
 - savings_status : '<100'
 - employment : unemployed
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 34
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 24. The credit_history is 'delayed previously'. The purpose is furniture/equipment. The credit_amount is 2064. The savings_status is '<100'. The employment is unemployed. The installment_commitment is 3. The other_parties is none. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 34. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>24</td>
      <td>'delayed previously'</td>
      <td>furniture/equipment</td>
      <td>2064</td>
      <td>'&lt;100'</td>
      <td>unemployed</td>
      <td>3</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>34</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 24 & 'delayed previously' & furniture/equipment & 2064 & '<100' & unemployed & 3 & none & 2 & 'life insurance' & 34 & none & own & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 34, 'checking_status': ""'0<=X<200'"", 'credit_amount': 2064, 'credit_history': ""'delayed previously'"", 'duration': 24, 'employment': 'unemployed', 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 3, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 2, 'savings_status': ""'<100'""}",A 34-year-old female German Foreigner is applying for a loan of 2064 credits for 24 months for furniture or equipment purposes. She has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. She has no other installment plans and 1 credits at this bank. She is unemployed and is recognized as a highly qualified employee or is self employed or has managerial position. She has lived in a self-owned house for 2 years.  She owns life insurance property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
143,male,'<0',12,'critical/other existing credit','new car',2121,'<100','1<=X<4',4,none,2,'life insurance',30,none,own,2,skilled,1,none,yes,good,"gender is male, checking_status is '<0', duration is 12, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 2121, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is 'life insurance', age is 30, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 12
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 2121
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 30
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 12. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 2121. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 30. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>12</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>2121</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>30</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 12 & 'critical/other existing credit' & 'new car' & 2121 & '<100' & '1<=X<4' & 4 & none & 2 & 'life insurance' & 30 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 30, 'checking_status': ""'<0'"", 'credit_amount': 2121, 'credit_history': ""'critical/other existing credit'"", 'duration': 12, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'<100'""}",A 30-year-old male German Foreigner is applying for a loan of 2121 credits for 12 months for new car purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 2 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
144,male,'no checking',9,'critical/other existing credit',furniture/equipment,2406,'<100',unemployed,2,none,3,car,31,none,own,1,'high qualif/self emp/mgmt',1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 9, credit_history is 'critical/other existing credit', purpose is furniture/equipment, credit_amount is 2406, savings_status is '<100', employment is unemployed, installment_commitment is 2, other_parties is none, residence_since is 3, property_magnitude is car, age is 31, other_payment_plans is none, housing is own, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 9
 - credit_history : 'critical/other existing credit'
 - purpose : furniture/equipment
 - credit_amount : 2406
 - savings_status : '<100'
 - employment : unemployed
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 3
 - property_magnitude : car
 - age : 31
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 9. The credit_history is 'critical/other existing credit'. The purpose is furniture/equipment. The credit_amount is 2406. The savings_status is '<100'. The employment is unemployed. The installment_commitment is 2. The other_parties is none. The residence_since is 3. The property_magnitude is car. The age is 31. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>9</td>
      <td>'critical/other existing credit'</td>
      <td>furniture/equipment</td>
      <td>2406</td>
      <td>'&lt;100'</td>
      <td>unemployed</td>
      <td>2</td>
      <td>none</td>
      <td>3</td>
      <td>car</td>
      <td>31</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 9 & 'critical/other existing credit' & furniture/equipment & 2406 & '<100' & unemployed & 2 & none & 3 & car & 31 & none & own & 1 & 'high qualif/self emp/mgmt' & 1 & none & yes \\
\end{tabular}
","{'age': 31, 'checking_status': ""'no checking'"", 'credit_amount': 2406, 'credit_history': ""'critical/other existing credit'"", 'duration': 9, 'employment': 'unemployed', 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'furniture/equipment', 'residence_since': 3, 'savings_status': ""'<100'""}",A 31-year-old male German Foreigner is applying for a loan of 2406 credits for 9 months for furniture or equipment purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is unemployed and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 3 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
145,female,'no checking',15,'existing paid','new car',3186,'>=1000','4<=X<7',2,none,3,car,20,none,rent,1,skilled,1,none,yes,good,"gender is female, checking_status is 'no checking', duration is 15, credit_history is 'existing paid', purpose is 'new car', credit_amount is 3186, savings_status is '>=1000', employment is '4<=X<7', installment_commitment is 2, other_parties is none, residence_since is 3, property_magnitude is car, age is 20, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 15
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 3186
 - savings_status : '>=1000'
 - employment : '4<=X<7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 3
 - property_magnitude : car
 - age : 20
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 15. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 3186. The savings_status is '>=1000'. The employment is '4<=X<7'. The installment_commitment is 2. The other_parties is none. The residence_since is 3. The property_magnitude is car. The age is 20. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>15</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>3186</td>
      <td>'&gt;=1000'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>2</td>
      <td>none</td>
      <td>3</td>
      <td>car</td>
      <td>20</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 15 & 'existing paid' & 'new car' & 3186 & '>=1000' & '4<=X<7' & 2 & none & 3 & car & 20 & none & rent & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 20, 'checking_status': ""'no checking'"", 'credit_amount': 3186, 'credit_history': ""'existing paid'"", 'duration': 15, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 3, 'savings_status': ""'>=1000'""}",A 20-year-old female German Foreigner is applying for a loan of 3186 credits for 15 months for new car purposes. She has no checking account and a savings with 1000 Deutsche Mark or more. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has no other installment plans and 1 credits at this bank. She is employed for more than four years but less than seven years. She has lived in a rented apartment for 3 years.  She owns a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
146,male,'<0',48,'existing paid',radio/tv,6999,'<100','4<=X<7',1,guarantor,1,'real estate',34,none,own,2,skilled,1,yes,yes,bad,"gender is male, checking_status is '<0', duration is 48, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 6999, savings_status is '<100', employment is '4<=X<7', installment_commitment is 1, other_parties is guarantor, residence_since is 1, property_magnitude is 'real estate', age is 34, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 48
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 6999
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 1
 - other_parties : guarantor
 - residence_since : 1
 - property_magnitude : 'real estate'
 - age : 34
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 48. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 6999. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 1. The other_parties is guarantor. The residence_since is 1. The property_magnitude is 'real estate'. The age is 34. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>48</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>6999</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>1</td>
      <td>guarantor</td>
      <td>1</td>
      <td>'real estate'</td>
      <td>34</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 48 & 'existing paid' & radio/tv & 6999 & '<100' & '4<=X<7' & 1 & guarantor & 1 & 'real estate' & 34 & none & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 34, 'checking_status': ""'<0'"", 'credit_amount': 6999, 'credit_history': ""'existing paid'"", 'duration': 48, 'employment': ""'4<=X<7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'guarantor', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 1, 'savings_status': ""'<100'""}",A 34-year-old male German Foreigner is applying for a loan of 6999 credits for 48 months for radio or tv purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There is a guarantor associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 2 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 1 years.  He owns some real estate property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
147,male,'no checking',15,'existing paid',radio/tv,1386,'no known savings','1<=X<4',4,none,2,'real estate',40,none,rent,1,skilled,1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 15, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1386, savings_status is 'no known savings', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 40, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 15
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1386
 - savings_status : 'no known savings'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 40
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 15. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1386. The savings_status is 'no known savings'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 40. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>15</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1386</td>
      <td>'no known savings'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>40</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 15 & 'existing paid' & radio/tv & 1386 & 'no known savings' & '1<=X<4' & 4 & none & 2 & 'real estate' & 40 & none & rent & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 40, 'checking_status': ""'no checking'"", 'credit_amount': 1386, 'credit_history': ""'existing paid'"", 'duration': 15, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'no known savings'""}",A 40-year-old male German Foreigner is applying for a loan of 1386 credits for 15 months for radio or tv purposes. He has no checking account and no known savings. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a rented apartment for 2 years.  He owns some real estate property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
148,male,'no checking',12,'critical/other existing credit',radio/tv,618,'<100','>=7',4,none,4,'real estate',56,none,own,1,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 12, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 618, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 56, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 618
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 56
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 12. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 618. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 56. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>12</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>618</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>56</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 12 & 'critical/other existing credit' & radio/tv & 618 & '<100' & '>=7' & 4 & none & 4 & 'real estate' & 56 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 56, 'checking_status': ""'no checking'"", 'credit_amount': 618, 'credit_history': ""'critical/other existing credit'"", 'duration': 12, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'<100'""}",A 56-year-old male German Foreigner is applying for a loan of 618 credits for 12 months for radio or tv purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 4 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
149,male,'no checking',24,'critical/other existing credit','used car',6842,'no known savings','1<=X<4',2,none,4,'life insurance',46,none,own,2,'high qualif/self emp/mgmt',2,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'critical/other existing credit', purpose is 'used car', credit_amount is 6842, savings_status is 'no known savings', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 46, other_payment_plans is none, housing is own, existing_credits is 2, job is 'high qualif/self emp/mgmt', num_dependents is 2, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'critical/other existing credit'
 - purpose : 'used car'
 - credit_amount : 6842
 - savings_status : 'no known savings'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 46
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 2
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 24. The credit_history is 'critical/other existing credit'. The purpose is 'used car'. The credit_amount is 6842. The savings_status is 'no known savings'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 46. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is 'high qualif/self emp/mgmt'. The num_dependents is 2. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'critical/other existing credit'</td>
      <td>'used car'</td>
      <td>6842</td>
      <td>'no known savings'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>46</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>2</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 24 & 'critical/other existing credit' & 'used car' & 6842 & 'no known savings' & '1<=X<4' & 2 & none & 4 & 'life insurance' & 46 & none & own & 2 & 'high qualif/self emp/mgmt' & 2 & yes & yes \\
\end{tabular}
","{'age': 46, 'checking_status': ""'no checking'"", 'credit_amount': 6842, 'credit_history': ""'critical/other existing credit'"", 'duration': 24, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 46-year-old male German Foreigner is applying for a loan of 6842 credits for 24 months for used car purposes. He has no checking account and no known savings. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 2 credits at this bank. He is employed for more than one year but less than four years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 4 years.  He owns life insurance property. He owns a telephone and has 2 people that he is liable to provide maintenance for.
150,male,'0<=X<200',36,'delayed previously',business,4455,'<100','1<=X<4',2,none,2,'real estate',30,stores,own,2,'high qualif/self emp/mgmt',1,yes,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 36, credit_history is 'delayed previously', purpose is business, credit_amount is 4455, savings_status is '<100', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 30, other_payment_plans is stores, housing is own, existing_credits is 2, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 36
 - credit_history : 'delayed previously'
 - purpose : business
 - credit_amount : 4455
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 30
 - other_payment_plans : stores
 - housing : own
 - existing_credits : 2
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 36. The credit_history is 'delayed previously'. The purpose is business. The credit_amount is 4455. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 30. The other_payment_plans is stores. The housing is own. The existing_credits is 2. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>36</td>
      <td>'delayed previously'</td>
      <td>business</td>
      <td>4455</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>30</td>
      <td>stores</td>
      <td>own</td>
      <td>2</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 36 & 'delayed previously' & business & 4455 & '<100' & '1<=X<4' & 2 & none & 2 & 'real estate' & 30 & stores & own & 2 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 30, 'checking_status': ""'0<=X<200'"", 'credit_amount': 4455, 'credit_history': ""'delayed previously'"", 'duration': 36, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'stores', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': 'business', 'residence_since': 2, 'savings_status': ""'<100'""}",A 30-year-old male German Foreigner is applying for a loan of 4455 credits for 36 months for business purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has other installment plans with a store and 2 credits at this bank. He is employed for more than one year but less than four years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 2 years.  He owns some real estate property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
151,male,'<0',30,'existing paid',repairs,11998,'<100','<1',1,none,1,'no known property',34,none,own,1,'unskilled resident',1,yes,yes,bad,"gender is male, checking_status is '<0', duration is 30, credit_history is 'existing paid', purpose is repairs, credit_amount is 11998, savings_status is '<100', employment is '<1', installment_commitment is 1, other_parties is none, residence_since is 1, property_magnitude is 'no known property', age is 34, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 30
 - credit_history : 'existing paid'
 - purpose : repairs
 - credit_amount : 11998
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'no known property'
 - age : 34
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 30. The credit_history is 'existing paid'. The purpose is repairs. The credit_amount is 11998. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 1. The other_parties is none. The residence_since is 1. The property_magnitude is 'no known property'. The age is 34. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>30</td>
      <td>'existing paid'</td>
      <td>repairs</td>
      <td>11998</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>1</td>
      <td>none</td>
      <td>1</td>
      <td>'no known property'</td>
      <td>34</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 30 & 'existing paid' & repairs & 11998 & '<100' & '<1' & 1 & none & 1 & 'no known property' & 34 & none & own & 1 & 'unskilled resident' & 1 & yes & yes \\
\end{tabular}
","{'age': 34, 'checking_status': ""'<0'"", 'credit_amount': 11998, 'credit_history': ""'existing paid'"", 'duration': 30, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 1, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': 'repairs', 'residence_since': 1, 'savings_status': ""'<100'""}",A 34-year-old male German Foreigner is applying for a loan of 11998 credits for 30 months for repairs purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 1 credits at this bank. He is employed for less than one years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 1 years.  He owns no known property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
152,male,'no checking',36,'delayed previously','used car',8947,'no known savings','4<=X<7',3,none,2,car,31,stores,own,1,'high qualif/self emp/mgmt',2,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 36, credit_history is 'delayed previously', purpose is 'used car', credit_amount is 8947, savings_status is 'no known savings', employment is '4<=X<7', installment_commitment is 3, other_parties is none, residence_since is 2, property_magnitude is car, age is 31, other_payment_plans is stores, housing is own, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 2, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 36
 - credit_history : 'delayed previously'
 - purpose : 'used car'
 - credit_amount : 8947
 - savings_status : 'no known savings'
 - employment : '4<=X<7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 31
 - other_payment_plans : stores
 - housing : own
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 2
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 36. The credit_history is 'delayed previously'. The purpose is 'used car'. The credit_amount is 8947. The savings_status is 'no known savings'. The employment is '4<=X<7'. The installment_commitment is 3. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 31. The other_payment_plans is stores. The housing is own. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 2. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>36</td>
      <td>'delayed previously'</td>
      <td>'used car'</td>
      <td>8947</td>
      <td>'no known savings'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>3</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>31</td>
      <td>stores</td>
      <td>own</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>2</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 36 & 'delayed previously' & 'used car' & 8947 & 'no known savings' & '4<=X<7' & 3 & none & 2 & car & 31 & stores & own & 1 & 'high qualif/self emp/mgmt' & 2 & yes & yes \\
\end{tabular}
","{'age': 31, 'checking_status': ""'no checking'"", 'credit_amount': 8947, 'credit_history': ""'delayed previously'"", 'duration': 36, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'stores', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': ""'used car'"", 'residence_since': 2, 'savings_status': ""'no known savings'""}",A 31-year-old male German Foreigner is applying for a loan of 8947 credits for 36 months for used car purposes. He has no checking account and no known savings. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has other installment plans with a store and 1 credits at this bank. He is employed for more than four years but less than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 2 years.  He owns a car. He owns a telephone and has 2 people that he is liable to provide maintenance for.
153,female,'no checking',36,'existing paid',radio/tv,2394,'no known savings','1<=X<4',4,none,4,car,25,none,own,1,skilled,1,none,yes,good,"gender is female, checking_status is 'no checking', duration is 36, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 2394, savings_status is 'no known savings', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is car, age is 25, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 36
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 2394
 - savings_status : 'no known savings'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 25
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 36. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 2394. The savings_status is 'no known savings'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 25. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>36</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>2394</td>
      <td>'no known savings'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>25</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 36 & 'existing paid' & radio/tv & 2394 & 'no known savings' & '1<=X<4' & 4 & none & 4 & car & 25 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 25, 'checking_status': ""'no checking'"", 'credit_amount': 2394, 'credit_history': ""'existing paid'"", 'duration': 36, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 25-year-old female German Foreigner is applying for a loan of 2394 credits for 36 months for radio or tv purposes. She has no checking account and no known savings. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for more than one year but less than four years. She has lived in a self-owned house for 4 years.  She owns a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
154,male,'0<=X<200',36,'existing paid','used car',9398,'<100','<1',1,none,4,car,28,none,rent,1,'high qualif/self emp/mgmt',1,yes,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 36, credit_history is 'existing paid', purpose is 'used car', credit_amount is 9398, savings_status is '<100', employment is '<1', installment_commitment is 1, other_parties is none, residence_since is 4, property_magnitude is car, age is 28, other_payment_plans is none, housing is rent, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 36
 - credit_history : 'existing paid'
 - purpose : 'used car'
 - credit_amount : 9398
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 28
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 36. The credit_history is 'existing paid'. The purpose is 'used car'. The credit_amount is 9398. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 1. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 28. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>36</td>
      <td>'existing paid'</td>
      <td>'used car'</td>
      <td>9398</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>1</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>28</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 36 & 'existing paid' & 'used car' & 9398 & '<100' & '<1' & 1 & none & 4 & car & 28 & none & rent & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 28, 'checking_status': ""'0<=X<200'"", 'credit_amount': 9398, 'credit_history': ""'existing paid'"", 'duration': 36, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 1, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 28-year-old male German Foreigner is applying for a loan of 9398 credits for 36 months for used car purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 1 credits at this bank. He is employed for less than one years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a rented apartment for 4 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
155,male,'<0',36,'delayed previously',education,6887,'<100','1<=X<4',4,none,3,'life insurance',29,stores,own,1,skilled,1,yes,yes,bad,"gender is male, checking_status is '<0', duration is 36, credit_history is 'delayed previously', purpose is education, credit_amount is 6887, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 3, property_magnitude is 'life insurance', age is 29, other_payment_plans is stores, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 36
 - credit_history : 'delayed previously'
 - purpose : education
 - credit_amount : 6887
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'life insurance'
 - age : 29
 - other_payment_plans : stores
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 36. The credit_history is 'delayed previously'. The purpose is education. The credit_amount is 6887. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 3. The property_magnitude is 'life insurance'. The age is 29. The other_payment_plans is stores. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>36</td>
      <td>'delayed previously'</td>
      <td>education</td>
      <td>6887</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>'life insurance'</td>
      <td>29</td>
      <td>stores</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 36 & 'delayed previously' & education & 6887 & '<100' & '1<=X<4' & 4 & none & 3 & 'life insurance' & 29 & stores & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 29, 'checking_status': ""'<0'"", 'credit_amount': 6887, 'credit_history': ""'delayed previously'"", 'duration': 36, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'stores', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': 'education', 'residence_since': 3, 'savings_status': ""'<100'""}",A 29-year-old male German Foreigner is applying for a loan of 6887 credits for 36 months for education purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a store and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 3 years.  He owns life insurance property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
156,female,'no checking',6,'existing paid','new car',672,'<100',unemployed,1,none,4,'real estate',54,none,own,1,'unemp/unskilled non res',1,yes,yes,good,"gender is female, checking_status is 'no checking', duration is 6, credit_history is 'existing paid', purpose is 'new car', credit_amount is 672, savings_status is '<100', employment is unemployed, installment_commitment is 1, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 54, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unemp/unskilled non res', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 6
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 672
 - savings_status : '<100'
 - employment : unemployed
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 54
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unemp/unskilled non res'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 6. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 672. The savings_status is '<100'. The employment is unemployed. The installment_commitment is 1. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 54. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unemp/unskilled non res'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>6</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>672</td>
      <td>'&lt;100'</td>
      <td>unemployed</td>
      <td>1</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>54</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unemp/unskilled non res'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 6 & 'existing paid' & 'new car' & 672 & '<100' & unemployed & 1 & none & 4 & 'real estate' & 54 & none & own & 1 & 'unemp/unskilled non res' & 1 & yes & yes \\
\end{tabular}
","{'age': 54, 'checking_status': ""'no checking'"", 'credit_amount': 672, 'credit_history': ""'existing paid'"", 'duration': 6, 'employment': 'unemployed', 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 1, 'job': ""'unemp/unskilled non res'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 54-year-old female German Foreigner is applying for a loan of 672 credits for 6 months for new car purposes. She has no checking account and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. She has no other installment plans and 1 credits at this bank. She is unemployed and is recognized as an unemployed or unskilled non-resident individual. She has lived in a self-owned house for 4 years.  She owns some real estate property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
157,female,'0<=X<200',12,'existing paid',furniture/equipment,2762,'no known savings','>=7',1,none,2,'life insurance',25,bank,own,1,skilled,1,yes,yes,bad,"gender is female, checking_status is '0<=X<200', duration is 12, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 2762, savings_status is 'no known savings', employment is '>=7', installment_commitment is 1, other_parties is none, residence_since is 2, property_magnitude is 'life insurance', age is 25, other_payment_plans is bank, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 2762
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 25
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 12. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 2762. The savings_status is 'no known savings'. The employment is '>=7'. The installment_commitment is 1. The other_parties is none. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 25. The other_payment_plans is bank. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>2762</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>1</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>25</td>
      <td>bank</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 12 & 'existing paid' & furniture/equipment & 2762 & 'no known savings' & '>=7' & 1 & none & 2 & 'life insurance' & 25 & bank & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 25, 'checking_status': ""'0<=X<200'"", 'credit_amount': 2762, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 2, 'savings_status': ""'no known savings'""}",A 25-year-old female German Foreigner is applying for a loan of 2762 credits for 12 months for furniture or equipment purposes. She has a checking account with less than 200 Deutsche Mark and no known savings. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. She has other installment plans with a bank and 1 credits at this bank. She is employed for more than seven years. She has lived in a self-owned house for 2 years.  She owns life insurance property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
158,male,'no checking',12,'critical/other existing credit',furniture/equipment,5801,'no known savings','>=7',2,none,4,'life insurance',49,none,rent,1,skilled,1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 12, credit_history is 'critical/other existing credit', purpose is furniture/equipment, credit_amount is 5801, savings_status is 'no known savings', employment is '>=7', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 49, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'critical/other existing credit'
 - purpose : furniture/equipment
 - credit_amount : 5801
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 49
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 12. The credit_history is 'critical/other existing credit'. The purpose is furniture/equipment. The credit_amount is 5801. The savings_status is 'no known savings'. The employment is '>=7'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 49. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>12</td>
      <td>'critical/other existing credit'</td>
      <td>furniture/equipment</td>
      <td>5801</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>49</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 12 & 'critical/other existing credit' & furniture/equipment & 5801 & 'no known savings' & '>=7' & 2 & none & 4 & 'life insurance' & 49 & none & rent & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 49, 'checking_status': ""'no checking'"", 'credit_amount': 5801, 'credit_history': ""'critical/other existing credit'"", 'duration': 12, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 49-year-old male German Foreigner is applying for a loan of 5801 credits for 12 months for furniture or equipment purposes. He has no checking account and no known savings. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years. He has lived in a rented apartment for 4 years.  He owns life insurance property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
159,female,'no checking',21,'critical/other existing credit',furniture/equipment,2288,'<100','<1',4,none,4,'life insurance',23,none,own,1,skilled,1,yes,yes,good,"gender is female, checking_status is 'no checking', duration is 21, credit_history is 'critical/other existing credit', purpose is furniture/equipment, credit_amount is 2288, savings_status is '<100', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 23, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 21
 - credit_history : 'critical/other existing credit'
 - purpose : furniture/equipment
 - credit_amount : 2288
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 23
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 21. The credit_history is 'critical/other existing credit'. The purpose is furniture/equipment. The credit_amount is 2288. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 23. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>21</td>
      <td>'critical/other existing credit'</td>
      <td>furniture/equipment</td>
      <td>2288</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>23</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 21 & 'critical/other existing credit' & furniture/equipment & 2288 & '<100' & '<1' & 4 & none & 4 & 'life insurance' & 23 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 23, 'checking_status': ""'no checking'"", 'credit_amount': 2288, 'credit_history': ""'critical/other existing credit'"", 'duration': 21, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'<100'""}",A 23-year-old female German Foreigner is applying for a loan of 2288 credits for 21 months for furniture or equipment purposes. She has no checking account and a savings acccount with less than 100 Deutsche Mark. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for less than one years. She has lived in a self-owned house for 4 years.  She owns life insurance property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
160,male,'no checking',21,'delayed previously',furniture/equipment,1591,'100<=X<500','4<=X<7',4,none,3,'real estate',34,none,own,2,'high qualif/self emp/mgmt',1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 21, credit_history is 'delayed previously', purpose is furniture/equipment, credit_amount is 1591, savings_status is '100<=X<500', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 3, property_magnitude is 'real estate', age is 34, other_payment_plans is none, housing is own, existing_credits is 2, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 21
 - credit_history : 'delayed previously'
 - purpose : furniture/equipment
 - credit_amount : 1591
 - savings_status : '100<=X<500'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'real estate'
 - age : 34
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 21. The credit_history is 'delayed previously'. The purpose is furniture/equipment. The credit_amount is 1591. The savings_status is '100<=X<500'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is none. The residence_since is 3. The property_magnitude is 'real estate'. The age is 34. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>21</td>
      <td>'delayed previously'</td>
      <td>furniture/equipment</td>
      <td>1591</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>'real estate'</td>
      <td>34</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 21 & 'delayed previously' & furniture/equipment & 1591 & '100<=X<500' & '4<=X<7' & 4 & none & 3 & 'real estate' & 34 & none & own & 2 & 'high qualif/self emp/mgmt' & 1 & none & yes \\
\end{tabular}
","{'age': 34, 'checking_status': ""'no checking'"", 'credit_amount': 1591, 'credit_history': ""'delayed previously'"", 'duration': 21, 'employment': ""'4<=X<7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'furniture/equipment', 'residence_since': 3, 'savings_status': ""'100<=X<500'""}",A 34-year-old male German Foreigner is applying for a loan of 1591 credits for 21 months for furniture or equipment purposes. He has no checking account and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than four years but less than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 3 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
161,male,'0<=X<200',18,'critical/other existing credit','new car',1056,'<100','>=7',3,guarantor,3,'real estate',30,bank,own,2,skilled,1,none,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 18, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 1056, savings_status is '<100', employment is '>=7', installment_commitment is 3, other_parties is guarantor, residence_since is 3, property_magnitude is 'real estate', age is 30, other_payment_plans is bank, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 18
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 1056
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 3
 - other_parties : guarantor
 - residence_since : 3
 - property_magnitude : 'real estate'
 - age : 30
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 18. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 1056. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 3. The other_parties is guarantor. The residence_since is 3. The property_magnitude is 'real estate'. The age is 30. The other_payment_plans is bank. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>18</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>1056</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>3</td>
      <td>guarantor</td>
      <td>3</td>
      <td>'real estate'</td>
      <td>30</td>
      <td>bank</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 18 & 'critical/other existing credit' & 'new car' & 1056 & '<100' & '>=7' & 3 & guarantor & 3 & 'real estate' & 30 & bank & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 30, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1056, 'credit_history': ""'critical/other existing credit'"", 'duration': 18, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'guarantor', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 3, 'savings_status': ""'<100'""}",A 30-year-old male German Foreigner is applying for a loan of 1056 credits for 18 months for new car purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There is a guarantor associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has other installment plans with a bank and 2 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 3 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
162,female,'no checking',12,'critical/other existing credit',radio/tv,1240,'no known savings','>=7',4,none,2,'real estate',38,none,own,2,skilled,1,yes,yes,good,"gender is female, checking_status is 'no checking', duration is 12, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 1240, savings_status is 'no known savings', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 38, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 1240
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 38
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 12. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 1240. The savings_status is 'no known savings'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 38. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>12</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>1240</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>38</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 12 & 'critical/other existing credit' & radio/tv & 1240 & 'no known savings' & '>=7' & 4 & none & 2 & 'real estate' & 38 & none & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 38, 'checking_status': ""'no checking'"", 'credit_amount': 1240, 'credit_history': ""'critical/other existing credit'"", 'duration': 12, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'no known savings'""}",A 38-year-old female German Foreigner is applying for a loan of 1240 credits for 12 months for radio or tv purposes. She has no checking account and no known savings. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 2 credits at this bank. She is employed for more than seven years. She has lived in a self-owned house for 2 years.  She owns some real estate property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
163,male,'no checking',36,'critical/other existing credit','used car',11054,'no known savings','1<=X<4',4,none,2,car,30,none,own,1,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 36, credit_history is 'critical/other existing credit', purpose is 'used car', credit_amount is 11054, savings_status is 'no known savings', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is car, age is 30, other_payment_plans is none, housing is own, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 36
 - credit_history : 'critical/other existing credit'
 - purpose : 'used car'
 - credit_amount : 11054
 - savings_status : 'no known savings'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 30
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 36. The credit_history is 'critical/other existing credit'. The purpose is 'used car'. The credit_amount is 11054. The savings_status is 'no known savings'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 30. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>36</td>
      <td>'critical/other existing credit'</td>
      <td>'used car'</td>
      <td>11054</td>
      <td>'no known savings'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>30</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 36 & 'critical/other existing credit' & 'used car' & 11054 & 'no known savings' & '1<=X<4' & 4 & none & 2 & car & 30 & none & own & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 30, 'checking_status': ""'no checking'"", 'credit_amount': 11054, 'credit_history': ""'critical/other existing credit'"", 'duration': 36, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': ""'used car'"", 'residence_since': 2, 'savings_status': ""'no known savings'""}",A 30-year-old male German Foreigner is applying for a loan of 11054 credits for 36 months for used car purposes. He has no checking account and no known savings. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 2 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
164,male,'no checking',36,'existing paid','new car',909,'500<=X<1000','>=7',4,none,4,'life insurance',36,none,own,1,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 36, credit_history is 'existing paid', purpose is 'new car', credit_amount is 909, savings_status is '500<=X<1000', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 36, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 36
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 909
 - savings_status : '500<=X<1000'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 36
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 36. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 909. The savings_status is '500<=X<1000'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 36. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>36</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>909</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>36</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 36 & 'existing paid' & 'new car' & 909 & '500<=X<1000' & '>=7' & 4 & none & 4 & 'life insurance' & 36 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 36, 'checking_status': ""'no checking'"", 'credit_amount': 909, 'credit_history': ""'existing paid'"", 'duration': 36, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'500<=X<1000'""}",A 36-year-old male German Foreigner is applying for a loan of 909 credits for 36 months for new car purposes. He has no checking account and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 4 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
165,male,'0<=X<200',7,'existing paid',radio/tv,2415,'<100','1<=X<4',3,guarantor,2,'real estate',34,none,own,1,skilled,1,none,yes,good,"gender is male, checking_status is '0<=X<200', duration is 7, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 2415, savings_status is '<100', employment is '1<=X<4', installment_commitment is 3, other_parties is guarantor, residence_since is 2, property_magnitude is 'real estate', age is 34, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 7
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 2415
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 3
 - other_parties : guarantor
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 34
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 7. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 2415. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 3. The other_parties is guarantor. The residence_since is 2. The property_magnitude is 'real estate'. The age is 34. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>7</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>2415</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>3</td>
      <td>guarantor</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>34</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 7 & 'existing paid' & radio/tv & 2415 & '<100' & '1<=X<4' & 3 & guarantor & 2 & 'real estate' & 34 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 34, 'checking_status': ""'0<=X<200'"", 'credit_amount': 2415, 'credit_history': ""'existing paid'"", 'duration': 7, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'guarantor', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 34-year-old male German Foreigner is applying for a loan of 2415 credits for 7 months for radio or tv purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There is a guarantor associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 2 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
166,male,'no checking',24,'critical/other existing credit',radio/tv,2223,'100<=X<500','>=7',4,none,4,'life insurance',52,bank,own,2,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 2223, savings_status is '100<=X<500', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 52, other_payment_plans is bank, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 2223
 - savings_status : '100<=X<500'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 52
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 24. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 2223. The savings_status is '100<=X<500'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 52. The other_payment_plans is bank. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>2223</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>52</td>
      <td>bank</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 24 & 'critical/other existing credit' & radio/tv & 2223 & '100<=X<500' & '>=7' & 4 & none & 4 & 'life insurance' & 52 & bank & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 52, 'checking_status': ""'no checking'"", 'credit_amount': 2223, 'credit_history': ""'critical/other existing credit'"", 'duration': 24, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'100<=X<500'""}",A 52-year-old male German Foreigner is applying for a loan of 2223 credits for 24 months for radio or tv purposes. He has no checking account and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a bank and 2 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 4 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
167,male,'no checking',6,'existing paid',radio/tv,2108,'<100','4<=X<7',2,none,2,'real estate',29,none,rent,1,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 6, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 2108, savings_status is '<100', employment is '4<=X<7', installment_commitment is 2, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 29, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 6
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 2108
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 29
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 6. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 2108. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 2. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 29. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>6</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>2108</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>2</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>29</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 6 & 'existing paid' & radio/tv & 2108 & '<100' & '4<=X<7' & 2 & none & 2 & 'real estate' & 29 & none & rent & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 29, 'checking_status': ""'no checking'"", 'credit_amount': 2108, 'credit_history': ""'existing paid'"", 'duration': 6, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 29-year-old male German Foreigner is applying for a loan of 2108 credits for 6 months for radio or tv purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a rented apartment for 2 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
168,male,'0<=X<200',15,'critical/other existing credit',business,2326,'500<=X<1000','1<=X<4',2,none,4,car,27,bank,own,1,skilled,1,none,yes,good,"gender is male, checking_status is '0<=X<200', duration is 15, credit_history is 'critical/other existing credit', purpose is business, credit_amount is 2326, savings_status is '500<=X<1000', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is car, age is 27, other_payment_plans is bank, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 15
 - credit_history : 'critical/other existing credit'
 - purpose : business
 - credit_amount : 2326
 - savings_status : '500<=X<1000'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 27
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 15. The credit_history is 'critical/other existing credit'. The purpose is business. The credit_amount is 2326. The savings_status is '500<=X<1000'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 27. The other_payment_plans is bank. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>15</td>
      <td>'critical/other existing credit'</td>
      <td>business</td>
      <td>2326</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>27</td>
      <td>bank</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 15 & 'critical/other existing credit' & business & 2326 & '500<=X<1000' & '1<=X<4' & 2 & none & 4 & car & 27 & bank & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 27, 'checking_status': ""'0<=X<200'"", 'credit_amount': 2326, 'credit_history': ""'critical/other existing credit'"", 'duration': 15, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'business', 'residence_since': 4, 'savings_status': ""'500<=X<1000'""}",A 27-year-old male German Foreigner is applying for a loan of 2326 credits for 15 months for business purposes. He has a checking account with less than 200 Deutsche Mark and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has other installment plans with a bank and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 4 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
169,male,'no checking',15,'critical/other existing credit',radio/tv,1471,'<100','1<=X<4',4,none,4,'no known property',35,none,'for free',2,skilled,1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 15, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 1471, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 35, other_payment_plans is none, housing is 'for free', existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 15
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 1471
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 35
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 15. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 1471. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 35. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>15</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>1471</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>35</td>
      <td>none</td>
      <td>'for free'</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 15 & 'critical/other existing credit' & radio/tv & 1471 & '<100' & '1<=X<4' & 4 & none & 4 & 'no known property' & 35 & none & 'for free' & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 35, 'checking_status': ""'no checking'"", 'credit_amount': 1471, 'credit_history': ""'critical/other existing credit'"", 'duration': 15, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'<100'""}",A 35-year-old male German Foreigner is applying for a loan of 1471 credits for 15 months for radio or tv purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than one year but less than four years. He has lived in a free accommodation for 4 years.  He owns no known property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
170,male,'0<=X<200',24,'critical/other existing credit',business,1935,'<100','>=7',4,none,4,'real estate',31,none,own,2,skilled,1,yes,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 24, credit_history is 'critical/other existing credit', purpose is business, credit_amount is 1935, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 31, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 24
 - credit_history : 'critical/other existing credit'
 - purpose : business
 - credit_amount : 1935
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 31
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 24. The credit_history is 'critical/other existing credit'. The purpose is business. The credit_amount is 1935. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 31. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>24</td>
      <td>'critical/other existing credit'</td>
      <td>business</td>
      <td>1935</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>31</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 24 & 'critical/other existing credit' & business & 1935 & '<100' & '>=7' & 4 & none & 4 & 'real estate' & 31 & none & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 31, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1935, 'credit_history': ""'critical/other existing credit'"", 'duration': 24, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': 'business', 'residence_since': 4, 'savings_status': ""'<100'""}",A 31-year-old male German Foreigner is applying for a loan of 1935 credits for 24 months for business purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 4 years.  He owns some real estate property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
171,female,'no checking',15,'existing paid','new car',5324,'500<=X<1000','>=7',1,none,4,'no known property',35,none,'for free',1,skilled,1,none,yes,good,"gender is female, checking_status is 'no checking', duration is 15, credit_history is 'existing paid', purpose is 'new car', credit_amount is 5324, savings_status is '500<=X<1000', employment is '>=7', installment_commitment is 1, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 35, other_payment_plans is none, housing is 'for free', existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 15
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 5324
 - savings_status : '500<=X<1000'
 - employment : '>=7'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 35
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 15. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 5324. The savings_status is '500<=X<1000'. The employment is '>=7'. The installment_commitment is 1. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 35. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>15</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>5324</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>'&gt;=7'</td>
      <td>1</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>35</td>
      <td>none</td>
      <td>'for free'</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 15 & 'existing paid' & 'new car' & 5324 & '500<=X<1000' & '>=7' & 1 & none & 4 & 'no known property' & 35 & none & 'for free' & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 35, 'checking_status': ""'no checking'"", 'credit_amount': 5324, 'credit_history': ""'existing paid'"", 'duration': 15, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': ""'for free'"", 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'no known property'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'500<=X<1000'""}",A 35-year-old female German Foreigner is applying for a loan of 5324 credits for 15 months for new car purposes. She has no checking account and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. She has no other installment plans and 1 credits at this bank. She is employed for more than seven years. She has lived in a free accommodation for 4 years.  She owns no known property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
172,male,'>=200',6,'existing paid','new car',709,'>=1000','<1',2,none,2,'real estate',27,none,own,1,'unemp/unskilled non res',1,none,no,good,"gender is male, checking_status is '>=200', duration is 6, credit_history is 'existing paid', purpose is 'new car', credit_amount is 709, savings_status is '>=1000', employment is '<1', installment_commitment is 2, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 27, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unemp/unskilled non res', num_dependents is 1, own_telephone is none, foreign_worker is no","- gender : male
 - checking_status : '>=200'
 - duration : 6
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 709
 - savings_status : '>=1000'
 - employment : '<1'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 27
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unemp/unskilled non res'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : no",The gender is male. The checking_status is '>=200'. The duration is 6. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 709. The savings_status is '>=1000'. The employment is '<1'. The installment_commitment is 2. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 27. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unemp/unskilled non res'. The num_dependents is 1. The own_telephone is none. The foreign_worker is no,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&gt;=200'</td>
      <td>6</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>709</td>
      <td>'&gt;=1000'</td>
      <td>'&lt;1'</td>
      <td>2</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>27</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unemp/unskilled non res'</td>
      <td>1</td>
      <td>none</td>
      <td>no</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '>=200' & 6 & 'existing paid' & 'new car' & 709 & '>=1000' & '<1' & 2 & none & 2 & 'real estate' & 27 & none & own & 1 & 'unemp/unskilled non res' & 1 & none & no \\
\end{tabular}
","{'age': 27, 'checking_status': ""'>=200'"", 'credit_amount': 709, 'credit_history': ""'existing paid'"", 'duration': 6, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'no', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': ""'unemp/unskilled non res'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'>=1000'""}",A 27-year-old male German Citizen is applying for a loan of 709 credits for 6 months for new car purposes. He has a checking account with 200 Deutsche Mark or more and a savings with 1000 Deutsche Mark or more. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for less than one years and is recognized as an unemployed or unskilled non-resident individual. He has lived in a self-owned house for 2 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
173,male,'0<=X<200',8,'existing paid',radio/tv,1414,'<100','1<=X<4',4,guarantor,2,'real estate',33,none,own,1,skilled,1,none,no,good,"gender is male, checking_status is '0<=X<200', duration is 8, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1414, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is guarantor, residence_since is 2, property_magnitude is 'real estate', age is 33, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is no","- gender : male
 - checking_status : '0<=X<200'
 - duration : 8
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1414
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : guarantor
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 33
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : no",The gender is male. The checking_status is '0<=X<200'. The duration is 8. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1414. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is guarantor. The residence_since is 2. The property_magnitude is 'real estate'. The age is 33. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is no,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>8</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1414</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>guarantor</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>33</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>no</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 8 & 'existing paid' & radio/tv & 1414 & '<100' & '1<=X<4' & 4 & guarantor & 2 & 'real estate' & 33 & none & own & 1 & skilled & 1 & none & no \\
\end{tabular}
","{'age': 33, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1414, 'credit_history': ""'existing paid'"", 'duration': 8, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'no', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'guarantor', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 33-year-old male German Citizen is applying for a loan of 1414 credits for 8 months for radio or tv purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There is a guarantor associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 2 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
174,male,'no checking',24,'existing paid',furniture/equipment,2835,'500<=X<1000','>=7',3,none,4,'life insurance',53,none,own,1,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 2835, savings_status is '500<=X<1000', employment is '>=7', installment_commitment is 3, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 53, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 2835
 - savings_status : '500<=X<1000'
 - employment : '>=7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 53
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 24. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 2835. The savings_status is '500<=X<1000'. The employment is '>=7'. The installment_commitment is 3. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 53. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>2835</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>'&gt;=7'</td>
      <td>3</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>53</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 24 & 'existing paid' & furniture/equipment & 2835 & '500<=X<1000' & '>=7' & 3 & none & 4 & 'life insurance' & 53 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 53, 'checking_status': ""'no checking'"", 'credit_amount': 2835, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'500<=X<1000'""}",A 53-year-old male German Foreigner is applying for a loan of 2835 credits for 24 months for furniture or equipment purposes. He has no checking account and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 4 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
175,male,'<0',13,'critical/other existing credit',business,1797,'<100','<1',3,none,1,'life insurance',28,bank,own,2,'unskilled resident',1,none,yes,good,"gender is male, checking_status is '<0', duration is 13, credit_history is 'critical/other existing credit', purpose is business, credit_amount is 1797, savings_status is '<100', employment is '<1', installment_commitment is 3, other_parties is none, residence_since is 1, property_magnitude is 'life insurance', age is 28, other_payment_plans is bank, housing is own, existing_credits is 2, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 13
 - credit_history : 'critical/other existing credit'
 - purpose : business
 - credit_amount : 1797
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'life insurance'
 - age : 28
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 2
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 13. The credit_history is 'critical/other existing credit'. The purpose is business. The credit_amount is 1797. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 3. The other_parties is none. The residence_since is 1. The property_magnitude is 'life insurance'. The age is 28. The other_payment_plans is bank. The housing is own. The existing_credits is 2. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>13</td>
      <td>'critical/other existing credit'</td>
      <td>business</td>
      <td>1797</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>3</td>
      <td>none</td>
      <td>1</td>
      <td>'life insurance'</td>
      <td>28</td>
      <td>bank</td>
      <td>own</td>
      <td>2</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 13 & 'critical/other existing credit' & business & 1797 & '<100' & '<1' & 3 & none & 1 & 'life insurance' & 28 & bank & own & 2 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 28, 'checking_status': ""'<0'"", 'credit_amount': 1797, 'credit_history': ""'critical/other existing credit'"", 'duration': 13, 'employment': ""'<1'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'business', 'residence_since': 1, 'savings_status': ""'<100'""}",A 28-year-old male German Foreigner is applying for a loan of 1797 credits for 13 months for business purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has other installment plans with a bank and 2 credits at this bank. He is employed for less than one years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 1 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
176,male,'0<=X<200',12,'existing paid',business,1037,'100<=X<500','4<=X<7',3,none,4,'real estate',39,none,own,1,'unskilled resident',1,none,yes,good,"gender is male, checking_status is '0<=X<200', duration is 12, credit_history is 'existing paid', purpose is business, credit_amount is 1037, savings_status is '100<=X<500', employment is '4<=X<7', installment_commitment is 3, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 39, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : business
 - credit_amount : 1037
 - savings_status : '100<=X<500'
 - employment : '4<=X<7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 39
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 12. The credit_history is 'existing paid'. The purpose is business. The credit_amount is 1037. The savings_status is '100<=X<500'. The employment is '4<=X<7'. The installment_commitment is 3. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 39. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>business</td>
      <td>1037</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>3</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>39</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 12 & 'existing paid' & business & 1037 & '100<=X<500' & '4<=X<7' & 3 & none & 4 & 'real estate' & 39 & none & own & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 39, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1037, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'business', 'residence_since': 4, 'savings_status': ""'100<=X<500'""}",A 39-year-old male German Foreigner is applying for a loan of 1037 credits for 12 months for business purposes. He has a checking account with less than 200 Deutsche Mark and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 1 credits at this bank. He is employed for more than four years but less than seven years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 4 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
177,female,'0<=X<200',42,'critical/other existing credit',business,5954,'<100','4<=X<7',2,none,1,'real estate',41,bank,own,2,'unskilled resident',1,none,yes,good,"gender is female, checking_status is '0<=X<200', duration is 42, credit_history is 'critical/other existing credit', purpose is business, credit_amount is 5954, savings_status is '<100', employment is '4<=X<7', installment_commitment is 2, other_parties is none, residence_since is 1, property_magnitude is 'real estate', age is 41, other_payment_plans is bank, housing is own, existing_credits is 2, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 42
 - credit_history : 'critical/other existing credit'
 - purpose : business
 - credit_amount : 5954
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'real estate'
 - age : 41
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 2
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 42. The credit_history is 'critical/other existing credit'. The purpose is business. The credit_amount is 5954. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 2. The other_parties is none. The residence_since is 1. The property_magnitude is 'real estate'. The age is 41. The other_payment_plans is bank. The housing is own. The existing_credits is 2. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>42</td>
      <td>'critical/other existing credit'</td>
      <td>business</td>
      <td>5954</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>2</td>
      <td>none</td>
      <td>1</td>
      <td>'real estate'</td>
      <td>41</td>
      <td>bank</td>
      <td>own</td>
      <td>2</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 42 & 'critical/other existing credit' & business & 5954 & '<100' & '4<=X<7' & 2 & none & 1 & 'real estate' & 41 & bank & own & 2 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 41, 'checking_status': ""'0<=X<200'"", 'credit_amount': 5954, 'credit_history': ""'critical/other existing credit'"", 'duration': 42, 'employment': ""'4<=X<7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 2, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'business', 'residence_since': 1, 'savings_status': ""'<100'""}",A 41-year-old female German Foreigner is applying for a loan of 5954 credits for 42 months for business purposes. She has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has other installment plans with a bank and 2 credits at this bank. She is employed for more than four years but less than seven years and is recognized as an unskilled resident individual. She has lived in a self-owned house for 1 years.  She owns some real estate property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
178,female,'no checking',36,'delayed previously',radio/tv,4454,'<100','1<=X<4',4,none,4,'real estate',34,none,own,2,skilled,1,none,yes,good,"gender is female, checking_status is 'no checking', duration is 36, credit_history is 'delayed previously', purpose is radio/tv, credit_amount is 4454, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 34, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 36
 - credit_history : 'delayed previously'
 - purpose : radio/tv
 - credit_amount : 4454
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 34
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 36. The credit_history is 'delayed previously'. The purpose is radio/tv. The credit_amount is 4454. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 34. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>36</td>
      <td>'delayed previously'</td>
      <td>radio/tv</td>
      <td>4454</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>34</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 36 & 'delayed previously' & radio/tv & 4454 & '<100' & '1<=X<4' & 4 & none & 4 & 'real estate' & 34 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 34, 'checking_status': ""'no checking'"", 'credit_amount': 4454, 'credit_history': ""'delayed previously'"", 'duration': 36, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'<100'""}",A 34-year-old female German Foreigner is applying for a loan of 4454 credits for 36 months for radio or tv purposes. She has no checking account and a savings acccount with less than 100 Deutsche Mark. She has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 2 credits at this bank. She is employed for more than one year but less than four years. She has lived in a self-owned house for 4 years.  She owns some real estate property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
179,male,'<0',48,'existing paid','domestic appliance',3051,'<100','1<=X<4',3,none,4,car,54,none,own,1,skilled,1,none,yes,bad,"gender is male, checking_status is '<0', duration is 48, credit_history is 'existing paid', purpose is 'domestic appliance', credit_amount is 3051, savings_status is '<100', employment is '1<=X<4', installment_commitment is 3, other_parties is none, residence_since is 4, property_magnitude is car, age is 54, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 48
 - credit_history : 'existing paid'
 - purpose : 'domestic appliance'
 - credit_amount : 3051
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 54
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 48. The credit_history is 'existing paid'. The purpose is 'domestic appliance'. The credit_amount is 3051. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 3. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 54. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>48</td>
      <td>'existing paid'</td>
      <td>'domestic appliance'</td>
      <td>3051</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>3</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>54</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 48 & 'existing paid' & 'domestic appliance' & 3051 & '<100' & '1<=X<4' & 3 & none & 4 & car & 54 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 54, 'checking_status': ""'<0'"", 'credit_amount': 3051, 'credit_history': ""'existing paid'"", 'duration': 48, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': ""'domestic appliance'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 54-year-old male German Foreigner is applying for a loan of 3051 credits for 48 months for domestic appliance purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 4 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
180,female,'no checking',12,'critical/other existing credit',radio/tv,1291,'<100','1<=X<4',4,none,2,'life insurance',35,none,own,2,skilled,1,none,yes,good,"gender is female, checking_status is 'no checking', duration is 12, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 1291, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is 'life insurance', age is 35, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 1291
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 35
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 12. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 1291. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 35. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>12</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>1291</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>35</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 12 & 'critical/other existing credit' & radio/tv & 1291 & '<100' & '1<=X<4' & 4 & none & 2 & 'life insurance' & 35 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 35, 'checking_status': ""'no checking'"", 'credit_amount': 1291, 'credit_history': ""'critical/other existing credit'"", 'duration': 12, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 35-year-old female German Foreigner is applying for a loan of 1291 credits for 12 months for radio or tv purposes. She has no checking account and a savings acccount with less than 100 Deutsche Mark. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 2 credits at this bank. She is employed for more than one year but less than four years. She has lived in a self-owned house for 2 years.  She owns life insurance property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
181,male,'0<=X<200',48,'all paid',business,3566,'100<=X<500','4<=X<7',4,none,2,car,30,none,own,1,skilled,1,none,yes,good,"gender is male, checking_status is '0<=X<200', duration is 48, credit_history is 'all paid', purpose is business, credit_amount is 3566, savings_status is '100<=X<500', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is car, age is 30, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 48
 - credit_history : 'all paid'
 - purpose : business
 - credit_amount : 3566
 - savings_status : '100<=X<500'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 30
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 48. The credit_history is 'all paid'. The purpose is business. The credit_amount is 3566. The savings_status is '100<=X<500'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 30. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>48</td>
      <td>'all paid'</td>
      <td>business</td>
      <td>3566</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>30</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 48 & 'all paid' & business & 3566 & '100<=X<500' & '4<=X<7' & 4 & none & 2 & car & 30 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 30, 'checking_status': ""'0<=X<200'"", 'credit_amount': 3566, 'credit_history': ""'all paid'"", 'duration': 48, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'business', 'residence_since': 2, 'savings_status': ""'100<=X<500'""}",A 30-year-old male German Foreigner is applying for a loan of 3566 credits for 48 months for business purposes. He has a checking account with less than 200 Deutsche Mark and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. He has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 2 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
182,male,'no checking',6,'critical/other existing credit',furniture/equipment,1221,'no known savings','1<=X<4',1,none,2,'life insurance',27,none,own,2,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 6, credit_history is 'critical/other existing credit', purpose is furniture/equipment, credit_amount is 1221, savings_status is 'no known savings', employment is '1<=X<4', installment_commitment is 1, other_parties is none, residence_since is 2, property_magnitude is 'life insurance', age is 27, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 6
 - credit_history : 'critical/other existing credit'
 - purpose : furniture/equipment
 - credit_amount : 1221
 - savings_status : 'no known savings'
 - employment : '1<=X<4'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 27
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 6. The credit_history is 'critical/other existing credit'. The purpose is furniture/equipment. The credit_amount is 1221. The savings_status is 'no known savings'. The employment is '1<=X<4'. The installment_commitment is 1. The other_parties is none. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 27. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>6</td>
      <td>'critical/other existing credit'</td>
      <td>furniture/equipment</td>
      <td>1221</td>
      <td>'no known savings'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>1</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>27</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 6 & 'critical/other existing credit' & furniture/equipment & 1221 & 'no known savings' & '1<=X<4' & 1 & none & 2 & 'life insurance' & 27 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 27, 'checking_status': ""'no checking'"", 'credit_amount': 1221, 'credit_history': ""'critical/other existing credit'"", 'duration': 6, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 2, 'savings_status': ""'no known savings'""}",A 27-year-old male German Foreigner is applying for a loan of 1221 credits for 6 months for furniture or equipment purposes. He has no checking account and no known savings. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 2 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 2 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
183,male,'no checking',4,'critical/other existing credit',radio/tv,1544,'<100','4<=X<7',2,none,1,'real estate',42,none,own,3,'unskilled resident',2,none,yes,good,"gender is male, checking_status is 'no checking', duration is 4, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 1544, savings_status is '<100', employment is '4<=X<7', installment_commitment is 2, other_parties is none, residence_since is 1, property_magnitude is 'real estate', age is 42, other_payment_plans is none, housing is own, existing_credits is 3, job is 'unskilled resident', num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 4
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 1544
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'real estate'
 - age : 42
 - other_payment_plans : none
 - housing : own
 - existing_credits : 3
 - job : 'unskilled resident'
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 4. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 1544. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 2. The other_parties is none. The residence_since is 1. The property_magnitude is 'real estate'. The age is 42. The other_payment_plans is none. The housing is own. The existing_credits is 3. The job is 'unskilled resident'. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>4</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>1544</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>2</td>
      <td>none</td>
      <td>1</td>
      <td>'real estate'</td>
      <td>42</td>
      <td>none</td>
      <td>own</td>
      <td>3</td>
      <td>'unskilled resident'</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 4 & 'critical/other existing credit' & radio/tv & 1544 & '<100' & '4<=X<7' & 2 & none & 1 & 'real estate' & 42 & none & own & 3 & 'unskilled resident' & 2 & none & yes \\
\end{tabular}
","{'age': 42, 'checking_status': ""'no checking'"", 'credit_amount': 1544, 'credit_history': ""'critical/other existing credit'"", 'duration': 4, 'employment': ""'4<=X<7'"", 'existing_credits': 3, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': ""'unskilled resident'"", 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 1, 'savings_status': ""'<100'""}",A 42-year-old male German Foreigner is applying for a loan of 1544 credits for 4 months for radio or tv purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 3 credits at this bank. He is employed for more than four years but less than seven years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 1 years.  He owns some real estate property. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
184,male,'0<=X<200',12,'existing paid',radio/tv,625,'<100','<1',4,guarantor,1,'real estate',26,bank,own,1,'unskilled resident',1,none,yes,good,"gender is male, checking_status is '0<=X<200', duration is 12, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 625, savings_status is '<100', employment is '<1', installment_commitment is 4, other_parties is guarantor, residence_since is 1, property_magnitude is 'real estate', age is 26, other_payment_plans is bank, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 625
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : guarantor
 - residence_since : 1
 - property_magnitude : 'real estate'
 - age : 26
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 12. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 625. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 4. The other_parties is guarantor. The residence_since is 1. The property_magnitude is 'real estate'. The age is 26. The other_payment_plans is bank. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>625</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>guarantor</td>
      <td>1</td>
      <td>'real estate'</td>
      <td>26</td>
      <td>bank</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 12 & 'existing paid' & radio/tv & 625 & '<100' & '<1' & 4 & guarantor & 1 & 'real estate' & 26 & bank & own & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 26, 'checking_status': ""'0<=X<200'"", 'credit_amount': 625, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'guarantor', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 1, 'savings_status': ""'<100'""}",A 26-year-old male German Foreigner is applying for a loan of 625 credits for 12 months for radio or tv purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There is a guarantor associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a bank and 1 credits at this bank. He is employed for less than one years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 1 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
185,male,'0<=X<200',12,'existing paid','new car',2002,'<100','4<=X<7',3,none,4,'life insurance',30,none,rent,1,skilled,2,yes,yes,good,"gender is male, checking_status is '0<=X<200', duration is 12, credit_history is 'existing paid', purpose is 'new car', credit_amount is 2002, savings_status is '<100', employment is '4<=X<7', installment_commitment is 3, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 30, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 2, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 2002
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 30
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 2
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 12. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 2002. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 3. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 30. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 2. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>2002</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>3</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>30</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>2</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 12 & 'existing paid' & 'new car' & 2002 & '<100' & '4<=X<7' & 3 & none & 4 & 'life insurance' & 30 & none & rent & 1 & skilled & 2 & yes & yes \\
\end{tabular}
","{'age': 30, 'checking_status': ""'0<=X<200'"", 'credit_amount': 2002, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 30-year-old male German Foreigner is applying for a loan of 2002 credits for 12 months for new car purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 1 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a rented apartment for 4 years.  He owns life insurance property. He owns a telephone and has 2 people that he is liable to provide maintenance for.
186,female,'<0',24,'existing paid','new car',3123,'<100','<1',4,none,1,'life insurance',27,none,own,1,skilled,1,none,yes,bad,"gender is female, checking_status is '<0', duration is 24, credit_history is 'existing paid', purpose is 'new car', credit_amount is 3123, savings_status is '<100', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 1, property_magnitude is 'life insurance', age is 27, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 3123
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'life insurance'
 - age : 27
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 24. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 3123. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 1. The property_magnitude is 'life insurance'. The age is 27. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>3123</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>1</td>
      <td>'life insurance'</td>
      <td>27</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 24 & 'existing paid' & 'new car' & 3123 & '<100' & '<1' & 4 & none & 1 & 'life insurance' & 27 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 27, 'checking_status': ""'<0'"", 'credit_amount': 3123, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': ""'new car'"", 'residence_since': 1, 'savings_status': ""'<100'""}",A 27-year-old female German Foreigner is applying for a loan of 3123 credits for 24 months for new car purposes. She has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for less than one years. She has lived in a self-owned house for 1 years.  She owns life insurance property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
187,male,'no checking',15,'existing paid',furniture/equipment,2708,'<100','<1',2,none,3,'life insurance',27,bank,own,2,'unskilled resident',1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 15, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 2708, savings_status is '<100', employment is '<1', installment_commitment is 2, other_parties is none, residence_since is 3, property_magnitude is 'life insurance', age is 27, other_payment_plans is bank, housing is own, existing_credits is 2, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 15
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 2708
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'life insurance'
 - age : 27
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 2
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 15. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 2708. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 2. The other_parties is none. The residence_since is 3. The property_magnitude is 'life insurance'. The age is 27. The other_payment_plans is bank. The housing is own. The existing_credits is 2. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>15</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>2708</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>2</td>
      <td>none</td>
      <td>3</td>
      <td>'life insurance'</td>
      <td>27</td>
      <td>bank</td>
      <td>own</td>
      <td>2</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 15 & 'existing paid' & furniture/equipment & 2708 & '<100' & '<1' & 2 & none & 3 & 'life insurance' & 27 & bank & own & 2 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 27, 'checking_status': ""'no checking'"", 'credit_amount': 2708, 'credit_history': ""'existing paid'"", 'duration': 15, 'employment': ""'<1'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 3, 'savings_status': ""'<100'""}",A 27-year-old male German Foreigner is applying for a loan of 2708 credits for 15 months for furniture or equipment purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has other installment plans with a bank and 2 credits at this bank. He is employed for less than one years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 3 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
188,male,'no checking',12,'critical/other existing credit',education,3565,'no known savings','<1',2,none,1,'life insurance',37,none,own,2,'unskilled resident',2,none,yes,good,"gender is male, checking_status is 'no checking', duration is 12, credit_history is 'critical/other existing credit', purpose is education, credit_amount is 3565, savings_status is 'no known savings', employment is '<1', installment_commitment is 2, other_parties is none, residence_since is 1, property_magnitude is 'life insurance', age is 37, other_payment_plans is none, housing is own, existing_credits is 2, job is 'unskilled resident', num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'critical/other existing credit'
 - purpose : education
 - credit_amount : 3565
 - savings_status : 'no known savings'
 - employment : '<1'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'life insurance'
 - age : 37
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : 'unskilled resident'
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 12. The credit_history is 'critical/other existing credit'. The purpose is education. The credit_amount is 3565. The savings_status is 'no known savings'. The employment is '<1'. The installment_commitment is 2. The other_parties is none. The residence_since is 1. The property_magnitude is 'life insurance'. The age is 37. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is 'unskilled resident'. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>12</td>
      <td>'critical/other existing credit'</td>
      <td>education</td>
      <td>3565</td>
      <td>'no known savings'</td>
      <td>'&lt;1'</td>
      <td>2</td>
      <td>none</td>
      <td>1</td>
      <td>'life insurance'</td>
      <td>37</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>'unskilled resident'</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 12 & 'critical/other existing credit' & education & 3565 & 'no known savings' & '<1' & 2 & none & 1 & 'life insurance' & 37 & none & own & 2 & 'unskilled resident' & 2 & none & yes \\
\end{tabular}
","{'age': 37, 'checking_status': ""'no checking'"", 'credit_amount': 3565, 'credit_history': ""'critical/other existing credit'"", 'duration': 12, 'employment': ""'<1'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': ""'unskilled resident'"", 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'education', 'residence_since': 1, 'savings_status': ""'no known savings'""}",A 37-year-old male German Foreigner is applying for a loan of 3565 credits for 12 months for education purposes. He has no checking account and no known savings. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 2 credits at this bank. He is employed for less than one years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 1 years.  He owns life insurance property. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
189,male,'>=200',12,'critical/other existing credit','new car',1480,'500<=X<1000',unemployed,2,none,4,'no known property',66,bank,'for free',3,'unemp/unskilled non res',1,none,yes,good,"gender is male, checking_status is '>=200', duration is 12, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 1480, savings_status is '500<=X<1000', employment is unemployed, installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 66, other_payment_plans is bank, housing is 'for free', existing_credits is 3, job is 'unemp/unskilled non res', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '>=200'
 - duration : 12
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 1480
 - savings_status : '500<=X<1000'
 - employment : unemployed
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 66
 - other_payment_plans : bank
 - housing : 'for free'
 - existing_credits : 3
 - job : 'unemp/unskilled non res'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '>=200'. The duration is 12. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 1480. The savings_status is '500<=X<1000'. The employment is unemployed. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 66. The other_payment_plans is bank. The housing is 'for free'. The existing_credits is 3. The job is 'unemp/unskilled non res'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&gt;=200'</td>
      <td>12</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>1480</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>unemployed</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>66</td>
      <td>bank</td>
      <td>'for free'</td>
      <td>3</td>
      <td>'unemp/unskilled non res'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '>=200' & 12 & 'critical/other existing credit' & 'new car' & 1480 & '500<=X<1000' & unemployed & 2 & none & 4 & 'no known property' & 66 & bank & 'for free' & 3 & 'unemp/unskilled non res' & 1 & none & yes \\
\end{tabular}
","{'age': 66, 'checking_status': ""'>=200'"", 'credit_amount': 1480, 'credit_history': ""'critical/other existing credit'"", 'duration': 12, 'employment': 'unemployed', 'existing_credits': 3, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 2, 'job': ""'unemp/unskilled non res'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': ""'no known property'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'500<=X<1000'""}",A 66-year-old male German Foreigner is applying for a loan of 1480 credits for 12 months for new car purposes. He has a checking account with 200 Deutsche Mark or more and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has other installment plans with a bank and 3 credits at this bank. He is unemployed and is recognized as an unemployed or unskilled non-resident individual. He has lived in a free accommodation for 4 years.  He owns no known property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
190,male,'no checking',15,'critical/other existing credit',radio/tv,1360,'<100','1<=X<4',4,none,2,'life insurance',31,none,own,2,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 15, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 1360, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is 'life insurance', age is 31, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 15
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 1360
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 31
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 15. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 1360. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 31. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>15</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>1360</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>31</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 15 & 'critical/other existing credit' & radio/tv & 1360 & '<100' & '1<=X<4' & 4 & none & 2 & 'life insurance' & 31 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 31, 'checking_status': ""'no checking'"", 'credit_amount': 1360, 'credit_history': ""'critical/other existing credit'"", 'duration': 15, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 31-year-old male German Foreigner is applying for a loan of 1360 credits for 15 months for radio or tv purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 2 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
191,male,'0<=X<200',12,'existing paid',radio/tv,1158,'500<=X<1000','1<=X<4',3,none,1,car,26,none,own,1,skilled,1,yes,yes,good,"gender is male, checking_status is '0<=X<200', duration is 12, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1158, savings_status is '500<=X<1000', employment is '1<=X<4', installment_commitment is 3, other_parties is none, residence_since is 1, property_magnitude is car, age is 26, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1158
 - savings_status : '500<=X<1000'
 - employment : '1<=X<4'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 1
 - property_magnitude : car
 - age : 26
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 12. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1158. The savings_status is '500<=X<1000'. The employment is '1<=X<4'. The installment_commitment is 3. The other_parties is none. The residence_since is 1. The property_magnitude is car. The age is 26. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1158</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>3</td>
      <td>none</td>
      <td>1</td>
      <td>car</td>
      <td>26</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 12 & 'existing paid' & radio/tv & 1158 & '500<=X<1000' & '1<=X<4' & 3 & none & 1 & car & 26 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 26, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1158, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 1, 'savings_status': ""'500<=X<1000'""}",A 26-year-old male German Foreigner is applying for a loan of 1158 credits for 12 months for radio or tv purposes. He has a checking account with less than 200 Deutsche Mark and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 1 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
192,male,'0<=X<200',12,'existing paid',radio/tv,1103,'<100','4<=X<7',4,guarantor,3,'real estate',29,none,own,2,skilled,1,none,no,good,"gender is male, checking_status is '0<=X<200', duration is 12, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1103, savings_status is '<100', employment is '4<=X<7', installment_commitment is 4, other_parties is guarantor, residence_since is 3, property_magnitude is 'real estate', age is 29, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is no","- gender : male
 - checking_status : '0<=X<200'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1103
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : guarantor
 - residence_since : 3
 - property_magnitude : 'real estate'
 - age : 29
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : no",The gender is male. The checking_status is '0<=X<200'. The duration is 12. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1103. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is guarantor. The residence_since is 3. The property_magnitude is 'real estate'. The age is 29. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is no,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1103</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>guarantor</td>
      <td>3</td>
      <td>'real estate'</td>
      <td>29</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>no</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 12 & 'existing paid' & radio/tv & 1103 & '<100' & '4<=X<7' & 4 & guarantor & 3 & 'real estate' & 29 & none & own & 2 & skilled & 1 & none & no \\
\end{tabular}
","{'age': 29, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1103, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'4<=X<7'"", 'existing_credits': 2, 'foreign_worker': 'no', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'guarantor', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 3, 'savings_status': ""'<100'""}",A 29-year-old male German Citizen is applying for a loan of 1103 credits for 12 months for radio or tv purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There is a guarantor associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 3 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
193,female,'<0',24,'existing paid',furniture/equipment,7721,'no known savings','<1',1,none,2,'life insurance',30,none,own,1,skilled,1,yes,no,good,"gender is female, checking_status is '<0', duration is 24, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 7721, savings_status is 'no known savings', employment is '<1', installment_commitment is 1, other_parties is none, residence_since is 2, property_magnitude is 'life insurance', age is 30, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is no","- gender : female
 - checking_status : '<0'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 7721
 - savings_status : 'no known savings'
 - employment : '<1'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 30
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : no",The gender is female. The checking_status is '<0'. The duration is 24. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 7721. The savings_status is 'no known savings'. The employment is '<1'. The installment_commitment is 1. The other_parties is none. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 30. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is no,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>7721</td>
      <td>'no known savings'</td>
      <td>'&lt;1'</td>
      <td>1</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>30</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>no</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 24 & 'existing paid' & furniture/equipment & 7721 & 'no known savings' & '<1' & 1 & none & 2 & 'life insurance' & 30 & none & own & 1 & skilled & 1 & yes & no \\
\end{tabular}
","{'age': 30, 'checking_status': ""'<0'"", 'credit_amount': 7721, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'no', 'gender': 'female', 'housing': 'own', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 2, 'savings_status': ""'no known savings'""}",A 30-year-old female German Citizen is applying for a loan of 7721 credits for 24 months for furniture or equipment purposes. She has a checking account with 0 Deutsche Mark and no known savings. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. She has no other installment plans and 1 credits at this bank. She is employed for less than one years. She has lived in a self-owned house for 2 years.  She owns life insurance property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
194,male,'<0',18,'existing paid','domestic appliance',1217,'<100','1<=X<4',4,none,3,'real estate',47,none,own,1,'unskilled resident',1,yes,yes,bad,"gender is male, checking_status is '<0', duration is 18, credit_history is 'existing paid', purpose is 'domestic appliance', credit_amount is 1217, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 3, property_magnitude is 'real estate', age is 47, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : 'domestic appliance'
 - credit_amount : 1217
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'real estate'
 - age : 47
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 18. The credit_history is 'existing paid'. The purpose is 'domestic appliance'. The credit_amount is 1217. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 3. The property_magnitude is 'real estate'. The age is 47. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>18</td>
      <td>'existing paid'</td>
      <td>'domestic appliance'</td>
      <td>1217</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>'real estate'</td>
      <td>47</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 18 & 'existing paid' & 'domestic appliance' & 1217 & '<100' & '1<=X<4' & 4 & none & 3 & 'real estate' & 47 & none & own & 1 & 'unskilled resident' & 1 & yes & yes \\
\end{tabular}
","{'age': 47, 'checking_status': ""'<0'"", 'credit_amount': 1217, 'credit_history': ""'existing paid'"", 'duration': 18, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': ""'domestic appliance'"", 'residence_since': 3, 'savings_status': ""'<100'""}",A 47-year-old male German Foreigner is applying for a loan of 1217 credits for 18 months for domestic appliance purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 3 years.  He owns some real estate property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
195,male,'0<=X<200',12,'existing paid',radio/tv,6468,'no known savings',unemployed,2,none,1,'no known property',52,none,own,1,'high qualif/self emp/mgmt',1,yes,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 12, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 6468, savings_status is 'no known savings', employment is unemployed, installment_commitment is 2, other_parties is none, residence_since is 1, property_magnitude is 'no known property', age is 52, other_payment_plans is none, housing is own, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 6468
 - savings_status : 'no known savings'
 - employment : unemployed
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'no known property'
 - age : 52
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 12. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 6468. The savings_status is 'no known savings'. The employment is unemployed. The installment_commitment is 2. The other_parties is none. The residence_since is 1. The property_magnitude is 'no known property'. The age is 52. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>6468</td>
      <td>'no known savings'</td>
      <td>unemployed</td>
      <td>2</td>
      <td>none</td>
      <td>1</td>
      <td>'no known property'</td>
      <td>52</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 12 & 'existing paid' & radio/tv & 6468 & 'no known savings' & unemployed & 2 & none & 1 & 'no known property' & 52 & none & own & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 52, 'checking_status': ""'0<=X<200'"", 'credit_amount': 6468, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': 'unemployed', 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': 'radio/tv', 'residence_since': 1, 'savings_status': ""'no known savings'""}",A 52-year-old male German Foreigner is applying for a loan of 6468 credits for 12 months for radio or tv purposes. He has a checking account with less than 200 Deutsche Mark and no known savings. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is unemployed and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 1 years.  He owns no known property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
196,male,'0<=X<200',24,'existing paid',radio/tv,2039,'<100','<1',1,none,1,'life insurance',22,none,own,1,skilled,1,yes,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 24, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 2039, savings_status is '<100', employment is '<1', installment_commitment is 1, other_parties is none, residence_since is 1, property_magnitude is 'life insurance', age is 22, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 2039
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'life insurance'
 - age : 22
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 24. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 2039. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 1. The other_parties is none. The residence_since is 1. The property_magnitude is 'life insurance'. The age is 22. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>2039</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>1</td>
      <td>none</td>
      <td>1</td>
      <td>'life insurance'</td>
      <td>22</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 24 & 'existing paid' & radio/tv & 2039 & '<100' & '<1' & 1 & none & 1 & 'life insurance' & 22 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 22, 'checking_status': ""'0<=X<200'"", 'credit_amount': 2039, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': 'radio/tv', 'residence_since': 1, 'savings_status': ""'<100'""}",A 22-year-old male German Foreigner is applying for a loan of 2039 credits for 24 months for radio or tv purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 1 credits at this bank. He is employed for less than one years. He has lived in a self-owned house for 1 years.  He owns life insurance property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
197,male,'0<=X<200',20,'delayed previously',other,2629,'<100','1<=X<4',2,none,3,car,29,bank,own,2,skilled,1,yes,yes,good,"gender is male, checking_status is '0<=X<200', duration is 20, credit_history is 'delayed previously', purpose is other, credit_amount is 2629, savings_status is '<100', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 3, property_magnitude is car, age is 29, other_payment_plans is bank, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 20
 - credit_history : 'delayed previously'
 - purpose : other
 - credit_amount : 2629
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 3
 - property_magnitude : car
 - age : 29
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 20. The credit_history is 'delayed previously'. The purpose is other. The credit_amount is 2629. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 3. The property_magnitude is car. The age is 29. The other_payment_plans is bank. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>20</td>
      <td>'delayed previously'</td>
      <td>other</td>
      <td>2629</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>3</td>
      <td>car</td>
      <td>29</td>
      <td>bank</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 20 & 'delayed previously' & other & 2629 & '<100' & '1<=X<4' & 2 & none & 3 & car & 29 & bank & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 29, 'checking_status': ""'0<=X<200'"", 'credit_amount': 2629, 'credit_history': ""'delayed previously'"", 'duration': 20, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'other', 'residence_since': 3, 'savings_status': ""'<100'""}",A 29-year-old male German Foreigner is applying for a loan of 2629 credits for 20 months for other purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has other installment plans with a bank and 2 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 3 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
198,male,'>=200',15,'critical/other existing credit',radio/tv,1271,'no known savings','1<=X<4',3,none,4,'no known property',39,none,'for free',2,skilled,1,yes,yes,bad,"gender is male, checking_status is '>=200', duration is 15, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 1271, savings_status is 'no known savings', employment is '1<=X<4', installment_commitment is 3, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 39, other_payment_plans is none, housing is 'for free', existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '>=200'
 - duration : 15
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 1271
 - savings_status : 'no known savings'
 - employment : '1<=X<4'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 39
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '>=200'. The duration is 15. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 1271. The savings_status is 'no known savings'. The employment is '1<=X<4'. The installment_commitment is 3. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 39. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&gt;=200'</td>
      <td>15</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>1271</td>
      <td>'no known savings'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>3</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>39</td>
      <td>none</td>
      <td>'for free'</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '>=200' & 15 & 'critical/other existing credit' & radio/tv & 1271 & 'no known savings' & '1<=X<4' & 3 & none & 4 & 'no known property' & 39 & none & 'for free' & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 39, 'checking_status': ""'>=200'"", 'credit_amount': 1271, 'credit_history': ""'critical/other existing credit'"", 'duration': 15, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 39-year-old male German Foreigner is applying for a loan of 1271 credits for 15 months for radio or tv purposes. He has a checking account with 200 Deutsche Mark or more and no known savings. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 2 credits at this bank. He is employed for more than one year but less than four years. He has lived in a free accommodation for 4 years.  He owns no known property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
199,male,'no checking',12,'existing paid',radio/tv,804,'<100','>=7',4,none,4,car,38,none,own,1,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 12, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 804, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is car, age is 38, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 804
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 38
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 12. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 804. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 38. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>804</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>38</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 12 & 'existing paid' & radio/tv & 804 & '<100' & '>=7' & 4 & none & 4 & car & 38 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 38, 'checking_status': ""'no checking'"", 'credit_amount': 804, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'<100'""}",A 38-year-old male German Foreigner is applying for a loan of 804 credits for 12 months for radio or tv purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 4 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
200,male,'no checking',10,'critical/other existing credit',furniture/equipment,2069,'no known savings','1<=X<4',2,none,1,car,26,none,own,2,skilled,1,none,no,good,"gender is male, checking_status is 'no checking', duration is 10, credit_history is 'critical/other existing credit', purpose is furniture/equipment, credit_amount is 2069, savings_status is 'no known savings', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 1, property_magnitude is car, age is 26, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is no","- gender : male
 - checking_status : 'no checking'
 - duration : 10
 - credit_history : 'critical/other existing credit'
 - purpose : furniture/equipment
 - credit_amount : 2069
 - savings_status : 'no known savings'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 1
 - property_magnitude : car
 - age : 26
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : no",The gender is male. The checking_status is 'no checking'. The duration is 10. The credit_history is 'critical/other existing credit'. The purpose is furniture/equipment. The credit_amount is 2069. The savings_status is 'no known savings'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 1. The property_magnitude is car. The age is 26. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is no,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>10</td>
      <td>'critical/other existing credit'</td>
      <td>furniture/equipment</td>
      <td>2069</td>
      <td>'no known savings'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>1</td>
      <td>car</td>
      <td>26</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>no</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 10 & 'critical/other existing credit' & furniture/equipment & 2069 & 'no known savings' & '1<=X<4' & 2 & none & 1 & car & 26 & none & own & 2 & skilled & 1 & none & no \\
\end{tabular}
","{'age': 26, 'checking_status': ""'no checking'"", 'credit_amount': 2069, 'credit_history': ""'critical/other existing credit'"", 'duration': 10, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'no', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'furniture/equipment', 'residence_since': 1, 'savings_status': ""'no known savings'""}",A 26-year-old male German Citizen is applying for a loan of 2069 credits for 10 months for furniture or equipment purposes. He has no checking account and no known savings. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 2 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 1 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
201,male,'no checking',48,'delayed previously',radio/tv,7238,'no known savings','>=7',3,none,3,car,32,bank,own,2,skilled,2,none,yes,good,"gender is male, checking_status is 'no checking', duration is 48, credit_history is 'delayed previously', purpose is radio/tv, credit_amount is 7238, savings_status is 'no known savings', employment is '>=7', installment_commitment is 3, other_parties is none, residence_since is 3, property_magnitude is car, age is 32, other_payment_plans is bank, housing is own, existing_credits is 2, job is skilled, num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 48
 - credit_history : 'delayed previously'
 - purpose : radio/tv
 - credit_amount : 7238
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 3
 - property_magnitude : car
 - age : 32
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 48. The credit_history is 'delayed previously'. The purpose is radio/tv. The credit_amount is 7238. The savings_status is 'no known savings'. The employment is '>=7'. The installment_commitment is 3. The other_parties is none. The residence_since is 3. The property_magnitude is car. The age is 32. The other_payment_plans is bank. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>48</td>
      <td>'delayed previously'</td>
      <td>radio/tv</td>
      <td>7238</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>3</td>
      <td>none</td>
      <td>3</td>
      <td>car</td>
      <td>32</td>
      <td>bank</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 48 & 'delayed previously' & radio/tv & 7238 & 'no known savings' & '>=7' & 3 & none & 3 & car & 32 & bank & own & 2 & skilled & 2 & none & yes \\
\end{tabular}
","{'age': 32, 'checking_status': ""'no checking'"", 'credit_amount': 7238, 'credit_history': ""'delayed previously'"", 'duration': 48, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 3, 'savings_status': ""'no known savings'""}",A 32-year-old male German Foreigner is applying for a loan of 7238 credits for 48 months for radio or tv purposes. He has no checking account and no known savings. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has other installment plans with a bank and 2 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 3 years.  He owns a car. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
202,female,'>=200',18,'existing paid',furniture/equipment,3049,'<100','<1',1,none,1,'life insurance',45,stores,own,1,'unskilled resident',1,none,yes,good,"gender is female, checking_status is '>=200', duration is 18, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 3049, savings_status is '<100', employment is '<1', installment_commitment is 1, other_parties is none, residence_since is 1, property_magnitude is 'life insurance', age is 45, other_payment_plans is stores, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '>=200'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 3049
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'life insurance'
 - age : 45
 - other_payment_plans : stores
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '>=200'. The duration is 18. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 3049. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 1. The other_parties is none. The residence_since is 1. The property_magnitude is 'life insurance'. The age is 45. The other_payment_plans is stores. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&gt;=200'</td>
      <td>18</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>3049</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>1</td>
      <td>none</td>
      <td>1</td>
      <td>'life insurance'</td>
      <td>45</td>
      <td>stores</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '>=200' & 18 & 'existing paid' & furniture/equipment & 3049 & '<100' & '<1' & 1 & none & 1 & 'life insurance' & 45 & stores & own & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 45, 'checking_status': ""'>=200'"", 'credit_amount': 3049, 'credit_history': ""'existing paid'"", 'duration': 18, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 1, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'stores', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 1, 'savings_status': ""'<100'""}",A 45-year-old female German Foreigner is applying for a loan of 3049 credits for 18 months for furniture or equipment purposes. She has a checking account with 200 Deutsche Mark or more and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. She has other installment plans with a store and 1 credits at this bank. She is employed for less than one years and is recognized as an unskilled resident individual. She has lived in a self-owned house for 1 years.  She owns life insurance property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
203,female,'0<=X<200',15,'existing paid','new car',2631,'100<=X<500','1<=X<4',2,none,4,car,28,none,rent,2,skilled,1,yes,yes,bad,"gender is female, checking_status is '0<=X<200', duration is 15, credit_history is 'existing paid', purpose is 'new car', credit_amount is 2631, savings_status is '100<=X<500', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is car, age is 28, other_payment_plans is none, housing is rent, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 15
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 2631
 - savings_status : '100<=X<500'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 28
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 15. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 2631. The savings_status is '100<=X<500'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 28. The other_payment_plans is none. The housing is rent. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>15</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>2631</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>28</td>
      <td>none</td>
      <td>rent</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 15 & 'existing paid' & 'new car' & 2631 & '100<=X<500' & '1<=X<4' & 2 & none & 4 & car & 28 & none & rent & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 28, 'checking_status': ""'0<=X<200'"", 'credit_amount': 2631, 'credit_history': ""'existing paid'"", 'duration': 15, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'100<=X<500'""}",A 28-year-old female German Foreigner is applying for a loan of 2631 credits for 15 months for new car purposes. She has a checking account with less than 200 Deutsche Mark and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has no other installment plans and 2 credits at this bank. She is employed for more than one year but less than four years. She has lived in a rented apartment for 4 years.  She owns a car. She owns a telephone and has 1 person that she is liable to provide maintenance for.
204,female,'0<=X<200',30,'existing paid',furniture/equipment,3441,'100<=X<500','1<=X<4',2,'co applicant',4,car,21,none,rent,1,skilled,1,none,yes,bad,"gender is female, checking_status is '0<=X<200', duration is 30, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 3441, savings_status is '100<=X<500', employment is '1<=X<4', installment_commitment is 2, other_parties is 'co applicant', residence_since is 4, property_magnitude is car, age is 21, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 30
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 3441
 - savings_status : '100<=X<500'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : 'co applicant'
 - residence_since : 4
 - property_magnitude : car
 - age : 21
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 30. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 3441. The savings_status is '100<=X<500'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is 'co applicant'. The residence_since is 4. The property_magnitude is car. The age is 21. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>30</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>3441</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>'co applicant'</td>
      <td>4</td>
      <td>car</td>
      <td>21</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 30 & 'existing paid' & furniture/equipment & 3441 & '100<=X<500' & '1<=X<4' & 2 & 'co applicant' & 4 & car & 21 & none & rent & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 21, 'checking_status': ""'0<=X<200'"", 'credit_amount': 3441, 'credit_history': ""'existing paid'"", 'duration': 30, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': ""'co applicant'"", 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'100<=X<500'""}",A 21-year-old female German Foreigner is applying for a loan of 3441 credits for 30 months for furniture or equipment purposes. She has a checking account with less than 200 Deutsche Mark and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. She has duly paid back credits received from this bank till now. There co-applicant associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has no other installment plans and 1 credits at this bank. She is employed for more than one year but less than four years. She has lived in a rented apartment for 4 years.  She owns a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
205,male,'no checking',24,'existing paid',radio/tv,2284,'<100','4<=X<7',4,none,2,car,28,none,own,1,skilled,1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 2284, savings_status is '<100', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is car, age is 28, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 2284
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 28
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 24. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 2284. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 28. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>2284</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>28</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 24 & 'existing paid' & radio/tv & 2284 & '<100' & '4<=X<7' & 4 & none & 2 & car & 28 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 28, 'checking_status': ""'no checking'"", 'credit_amount': 2284, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 28-year-old male German Foreigner is applying for a loan of 2284 credits for 24 months for radio or tv purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 2 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
206,female,'<0',18,'critical/other existing credit',furniture/equipment,1049,'<100','<1',4,none,4,'life insurance',21,none,rent,1,skilled,1,none,yes,good,"gender is female, checking_status is '<0', duration is 18, credit_history is 'critical/other existing credit', purpose is furniture/equipment, credit_amount is 1049, savings_status is '<100', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 21, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 18
 - credit_history : 'critical/other existing credit'
 - purpose : furniture/equipment
 - credit_amount : 1049
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 21
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 18. The credit_history is 'critical/other existing credit'. The purpose is furniture/equipment. The credit_amount is 1049. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 21. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>18</td>
      <td>'critical/other existing credit'</td>
      <td>furniture/equipment</td>
      <td>1049</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>21</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 18 & 'critical/other existing credit' & furniture/equipment & 1049 & '<100' & '<1' & 4 & none & 4 & 'life insurance' & 21 & none & rent & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 21, 'checking_status': ""'<0'"", 'credit_amount': 1049, 'credit_history': ""'critical/other existing credit'"", 'duration': 18, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'<100'""}",A 21-year-old female German Foreigner is applying for a loan of 1049 credits for 18 months for furniture or equipment purposes. She has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for less than one years. She has lived in a rented apartment for 4 years.  She owns life insurance property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
207,male,'<0',24,'existing paid',furniture/equipment,4169,'<100','1<=X<4',4,none,4,'life insurance',28,none,own,1,skilled,1,none,yes,good,"gender is male, checking_status is '<0', duration is 24, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 4169, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 28, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 4169
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 28
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 24. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 4169. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 28. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>4169</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>28</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 24 & 'existing paid' & furniture/equipment & 4169 & '<100' & '1<=X<4' & 4 & none & 4 & 'life insurance' & 28 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 28, 'checking_status': ""'<0'"", 'credit_amount': 4169, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'<100'""}",A 28-year-old male German Foreigner is applying for a loan of 4169 credits for 24 months for furniture or equipment purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 4 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
208,male,'0<=X<200',27,'delayed previously','used car',5965,'<100','>=7',1,none,2,car,30,none,own,2,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is male, checking_status is '0<=X<200', duration is 27, credit_history is 'delayed previously', purpose is 'used car', credit_amount is 5965, savings_status is '<100', employment is '>=7', installment_commitment is 1, other_parties is none, residence_since is 2, property_magnitude is car, age is 30, other_payment_plans is none, housing is own, existing_credits is 2, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 27
 - credit_history : 'delayed previously'
 - purpose : 'used car'
 - credit_amount : 5965
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 30
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 27. The credit_history is 'delayed previously'. The purpose is 'used car'. The credit_amount is 5965. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 1. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 30. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>27</td>
      <td>'delayed previously'</td>
      <td>'used car'</td>
      <td>5965</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>1</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>30</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 27 & 'delayed previously' & 'used car' & 5965 & '<100' & '>=7' & 1 & none & 2 & car & 30 & none & own & 2 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 30, 'checking_status': ""'0<=X<200'"", 'credit_amount': 5965, 'credit_history': ""'delayed previously'"", 'duration': 27, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 1, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': ""'used car'"", 'residence_since': 2, 'savings_status': ""'<100'""}",A 30-year-old male German Foreigner is applying for a loan of 5965 credits for 27 months for used car purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 2 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
209,male,'0<=X<200',15,'all paid','new car',6850,'100<=X<500',unemployed,1,none,2,'life insurance',34,none,own,1,'high qualif/self emp/mgmt',2,yes,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 15, credit_history is 'all paid', purpose is 'new car', credit_amount is 6850, savings_status is '100<=X<500', employment is unemployed, installment_commitment is 1, other_parties is none, residence_since is 2, property_magnitude is 'life insurance', age is 34, other_payment_plans is none, housing is own, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 2, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 15
 - credit_history : 'all paid'
 - purpose : 'new car'
 - credit_amount : 6850
 - savings_status : '100<=X<500'
 - employment : unemployed
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 34
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 2
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 15. The credit_history is 'all paid'. The purpose is 'new car'. The credit_amount is 6850. The savings_status is '100<=X<500'. The employment is unemployed. The installment_commitment is 1. The other_parties is none. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 34. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 2. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>15</td>
      <td>'all paid'</td>
      <td>'new car'</td>
      <td>6850</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>unemployed</td>
      <td>1</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>34</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>2</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 15 & 'all paid' & 'new car' & 6850 & '100<=X<500' & unemployed & 1 & none & 2 & 'life insurance' & 34 & none & own & 1 & 'high qualif/self emp/mgmt' & 2 & yes & yes \\
\end{tabular}
","{'age': 34, 'checking_status': ""'0<=X<200'"", 'credit_amount': 6850, 'credit_history': ""'all paid'"", 'duration': 15, 'employment': 'unemployed', 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 1, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'100<=X<500'""}",A 34-year-old male German Foreigner is applying for a loan of 6850 credits for 15 months for new car purposes. He has a checking account with less than 200 Deutsche Mark and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. He has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 1 credits at this bank. He is unemployed and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 2 years.  He owns life insurance property. He owns a telephone and has 2 people that he is liable to provide maintenance for.
210,male,'<0',6,'critical/other existing credit','new car',1361,'<100','<1',2,none,4,'real estate',40,none,own,1,'unskilled resident',2,none,no,good,"gender is male, checking_status is '<0', duration is 6, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 1361, savings_status is '<100', employment is '<1', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 40, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 2, own_telephone is none, foreign_worker is no","- gender : male
 - checking_status : '<0'
 - duration : 6
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 1361
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 40
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : no",The gender is male. The checking_status is '<0'. The duration is 6. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 1361. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 40. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 2. The own_telephone is none. The foreign_worker is no,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>6</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>1361</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>40</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>2</td>
      <td>none</td>
      <td>no</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 6 & 'critical/other existing credit' & 'new car' & 1361 & '<100' & '<1' & 2 & none & 4 & 'real estate' & 40 & none & own & 1 & 'unskilled resident' & 2 & none & no \\
\end{tabular}
","{'age': 40, 'checking_status': ""'<0'"", 'credit_amount': 1361, 'credit_history': ""'critical/other existing credit'"", 'duration': 6, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'no', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': ""'unskilled resident'"", 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 40-year-old male German Citizen is applying for a loan of 1361 credits for 6 months for new car purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for less than one years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 4 years.  He owns some real estate property. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
211,female,'no checking',18,'critical/other existing credit',furniture/equipment,1817,'<100','1<=X<4',4,none,2,'no known property',28,none,own,2,skilled,1,none,yes,good,"gender is female, checking_status is 'no checking', duration is 18, credit_history is 'critical/other existing credit', purpose is furniture/equipment, credit_amount is 1817, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is 'no known property', age is 28, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 18
 - credit_history : 'critical/other existing credit'
 - purpose : furniture/equipment
 - credit_amount : 1817
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'no known property'
 - age : 28
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 18. The credit_history is 'critical/other existing credit'. The purpose is furniture/equipment. The credit_amount is 1817. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is 'no known property'. The age is 28. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>18</td>
      <td>'critical/other existing credit'</td>
      <td>furniture/equipment</td>
      <td>1817</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'no known property'</td>
      <td>28</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 18 & 'critical/other existing credit' & furniture/equipment & 1817 & '<100' & '1<=X<4' & 4 & none & 2 & 'no known property' & 28 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 28, 'checking_status': ""'no checking'"", 'credit_amount': 1817, 'credit_history': ""'critical/other existing credit'"", 'duration': 18, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'no known property'"", 'purpose': 'furniture/equipment', 'residence_since': 2, 'savings_status': ""'<100'""}",A 28-year-old female German Foreigner is applying for a loan of 1817 credits for 18 months for furniture or equipment purposes. She has no checking account and a savings acccount with less than 100 Deutsche Mark. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 2 credits at this bank. She is employed for more than one year but less than four years. She has lived in a self-owned house for 2 years.  She owns no known property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
212,male,'no checking',24,'critical/other existing credit','new car',1940,'>=1000','>=7',4,none,4,'real estate',60,none,own,1,skilled,1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 1940, savings_status is '>=1000', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 60, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 1940
 - savings_status : '>=1000'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 60
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 24. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 1940. The savings_status is '>=1000'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 60. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>1940</td>
      <td>'&gt;=1000'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>60</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 24 & 'critical/other existing credit' & 'new car' & 1940 & '>=1000' & '>=7' & 4 & none & 4 & 'real estate' & 60 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 60, 'checking_status': ""'no checking'"", 'credit_amount': 1940, 'credit_history': ""'critical/other existing credit'"", 'duration': 24, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'>=1000'""}",A 60-year-old male German Foreigner is applying for a loan of 1940 credits for 24 months for new car purposes. He has no checking account and a savings with 1000 Deutsche Mark or more. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 4 years.  He owns some real estate property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
213,male,'no checking',10,'critical/other existing credit','new car',1231,'<100','>=7',3,none,4,'real estate',32,none,own,2,'unskilled resident',2,none,no,good,"gender is male, checking_status is 'no checking', duration is 10, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 1231, savings_status is '<100', employment is '>=7', installment_commitment is 3, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 32, other_payment_plans is none, housing is own, existing_credits is 2, job is 'unskilled resident', num_dependents is 2, own_telephone is none, foreign_worker is no","- gender : male
 - checking_status : 'no checking'
 - duration : 10
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 1231
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 32
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : 'unskilled resident'
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : no",The gender is male. The checking_status is 'no checking'. The duration is 10. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 1231. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 3. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 32. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is 'unskilled resident'. The num_dependents is 2. The own_telephone is none. The foreign_worker is no,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>10</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>1231</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>3</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>32</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>'unskilled resident'</td>
      <td>2</td>
      <td>none</td>
      <td>no</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 10 & 'critical/other existing credit' & 'new car' & 1231 & '<100' & '>=7' & 3 & none & 4 & 'real estate' & 32 & none & own & 2 & 'unskilled resident' & 2 & none & no \\
\end{tabular}
","{'age': 32, 'checking_status': ""'no checking'"", 'credit_amount': 1231, 'credit_history': ""'critical/other existing credit'"", 'duration': 10, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'no', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': ""'unskilled resident'"", 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 32-year-old male German Citizen is applying for a loan of 1231 credits for 10 months for new car purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 4 years.  He owns some real estate property. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
214,female,'no checking',6,'critical/other existing credit',radio/tv,1554,'<100','4<=X<7',1,none,2,car,24,none,rent,2,skilled,1,yes,yes,good,"gender is female, checking_status is 'no checking', duration is 6, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 1554, savings_status is '<100', employment is '4<=X<7', installment_commitment is 1, other_parties is none, residence_since is 2, property_magnitude is car, age is 24, other_payment_plans is none, housing is rent, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 6
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 1554
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 24
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 6. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 1554. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 1. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 24. The other_payment_plans is none. The housing is rent. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>6</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>1554</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>1</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>24</td>
      <td>none</td>
      <td>rent</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 6 & 'critical/other existing credit' & radio/tv & 1554 & '<100' & '4<=X<7' & 1 & none & 2 & car & 24 & none & rent & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 24, 'checking_status': ""'no checking'"", 'credit_amount': 1554, 'credit_history': ""'critical/other existing credit'"", 'duration': 6, 'employment': ""'4<=X<7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 24-year-old female German Foreigner is applying for a loan of 1554 credits for 6 months for radio or tv purposes. She has no checking account and a savings acccount with less than 100 Deutsche Mark. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. She has no other installment plans and 2 credits at this bank. She is employed for more than four years but less than seven years. She has lived in a rented apartment for 2 years.  She owns a car. She owns a telephone and has 1 person that she is liable to provide maintenance for.
215,male,'no checking',18,'critical/other existing credit',radio/tv,629,'500<=X<1000','>=7',4,none,3,'life insurance',32,bank,own,2,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 18, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 629, savings_status is '500<=X<1000', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 3, property_magnitude is 'life insurance', age is 32, other_payment_plans is bank, housing is own, existing_credits is 2, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 18
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 629
 - savings_status : '500<=X<1000'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'life insurance'
 - age : 32
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 2
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 18. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 629. The savings_status is '500<=X<1000'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 3. The property_magnitude is 'life insurance'. The age is 32. The other_payment_plans is bank. The housing is own. The existing_credits is 2. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>18</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>629</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>'life insurance'</td>
      <td>32</td>
      <td>bank</td>
      <td>own</td>
      <td>2</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 18 & 'critical/other existing credit' & radio/tv & 629 & '500<=X<1000' & '>=7' & 4 & none & 3 & 'life insurance' & 32 & bank & own & 2 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 32, 'checking_status': ""'no checking'"", 'credit_amount': 629, 'credit_history': ""'critical/other existing credit'"", 'duration': 18, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': 'radio/tv', 'residence_since': 3, 'savings_status': ""'500<=X<1000'""}",A 32-year-old male German Foreigner is applying for a loan of 629 credits for 18 months for radio or tv purposes. He has no checking account and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a bank and 2 credits at this bank. He is employed for more than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 3 years.  He owns life insurance property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
216,male,'no checking',15,'delayed previously',radio/tv,1478,'<100','1<=X<4',4,none,3,'real estate',33,bank,own,2,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 15, credit_history is 'delayed previously', purpose is radio/tv, credit_amount is 1478, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 3, property_magnitude is 'real estate', age is 33, other_payment_plans is bank, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 15
 - credit_history : 'delayed previously'
 - purpose : radio/tv
 - credit_amount : 1478
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'real estate'
 - age : 33
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 15. The credit_history is 'delayed previously'. The purpose is radio/tv. The credit_amount is 1478. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 3. The property_magnitude is 'real estate'. The age is 33. The other_payment_plans is bank. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>15</td>
      <td>'delayed previously'</td>
      <td>radio/tv</td>
      <td>1478</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>'real estate'</td>
      <td>33</td>
      <td>bank</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 15 & 'delayed previously' & radio/tv & 1478 & '<100' & '1<=X<4' & 4 & none & 3 & 'real estate' & 33 & bank & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 33, 'checking_status': ""'no checking'"", 'credit_amount': 1478, 'credit_history': ""'delayed previously'"", 'duration': 15, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 3, 'savings_status': ""'<100'""}",A 33-year-old male German Foreigner is applying for a loan of 1478 credits for 15 months for radio or tv purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a bank and 2 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 3 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
217,male,'<0',45,'no credits/all paid',business,11816,'<100','>=7',2,none,4,car,29,none,rent,2,skilled,1,none,yes,bad,"gender is male, checking_status is '<0', duration is 45, credit_history is 'no credits/all paid', purpose is business, credit_amount is 11816, savings_status is '<100', employment is '>=7', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is car, age is 29, other_payment_plans is none, housing is rent, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 45
 - credit_history : 'no credits/all paid'
 - purpose : business
 - credit_amount : 11816
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 29
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 45. The credit_history is 'no credits/all paid'. The purpose is business. The credit_amount is 11816. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 29. The other_payment_plans is none. The housing is rent. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>45</td>
      <td>'no credits/all paid'</td>
      <td>business</td>
      <td>11816</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>29</td>
      <td>none</td>
      <td>rent</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 45 & 'no credits/all paid' & business & 11816 & '<100' & '>=7' & 2 & none & 4 & car & 29 & none & rent & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 29, 'checking_status': ""'<0'"", 'credit_amount': 11816, 'credit_history': ""'no credits/all paid'"", 'duration': 45, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'business', 'residence_since': 4, 'savings_status': ""'<100'""}",A 29-year-old male German Foreigner is applying for a loan of 11816 credits for 45 months for business purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He did not take any credits at this bank or has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years. He has lived in a rented apartment for 4 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
218,male,'<0',6,'existing paid','new car',1203,'100<=X<500','>=7',3,none,2,'life insurance',43,none,own,1,skilled,1,yes,yes,good,"gender is male, checking_status is '<0', duration is 6, credit_history is 'existing paid', purpose is 'new car', credit_amount is 1203, savings_status is '100<=X<500', employment is '>=7', installment_commitment is 3, other_parties is none, residence_since is 2, property_magnitude is 'life insurance', age is 43, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 6
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 1203
 - savings_status : '100<=X<500'
 - employment : '>=7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 43
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 6. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 1203. The savings_status is '100<=X<500'. The employment is '>=7'. The installment_commitment is 3. The other_parties is none. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 43. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>6</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>1203</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'&gt;=7'</td>
      <td>3</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>43</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 6 & 'existing paid' & 'new car' & 1203 & '100<=X<500' & '>=7' & 3 & none & 2 & 'life insurance' & 43 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 43, 'checking_status': ""'<0'"", 'credit_amount': 1203, 'credit_history': ""'existing paid'"", 'duration': 6, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'100<=X<500'""}",A 43-year-old male German Foreigner is applying for a loan of 1203 credits for 6 months for new car purposes. He has a checking account with 0 Deutsche Mark and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 2 years.  He owns life insurance property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
219,male,'0<=X<200',7,'existing paid',radio/tv,2576,'<100','1<=X<4',2,guarantor,2,'real estate',35,none,own,1,skilled,1,none,yes,good,"gender is male, checking_status is '0<=X<200', duration is 7, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 2576, savings_status is '<100', employment is '1<=X<4', installment_commitment is 2, other_parties is guarantor, residence_since is 2, property_magnitude is 'real estate', age is 35, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 7
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 2576
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : guarantor
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 35
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 7. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 2576. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is guarantor. The residence_since is 2. The property_magnitude is 'real estate'. The age is 35. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>7</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>2576</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>guarantor</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>35</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 7 & 'existing paid' & radio/tv & 2576 & '<100' & '1<=X<4' & 2 & guarantor & 2 & 'real estate' & 35 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 35, 'checking_status': ""'0<=X<200'"", 'credit_amount': 2576, 'credit_history': ""'existing paid'"", 'duration': 7, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'guarantor', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 35-year-old male German Foreigner is applying for a loan of 2576 credits for 7 months for radio or tv purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There is a guarantor associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 2 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
220,female,'0<=X<200',24,'existing paid','used car',12579,'<100','>=7',4,none,2,'no known property',44,none,'for free',1,'high qualif/self emp/mgmt',1,yes,yes,bad,"gender is female, checking_status is '0<=X<200', duration is 24, credit_history is 'existing paid', purpose is 'used car', credit_amount is 12579, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is 'no known property', age is 44, other_payment_plans is none, housing is 'for free', existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : 'used car'
 - credit_amount : 12579
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'no known property'
 - age : 44
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 24. The credit_history is 'existing paid'. The purpose is 'used car'. The credit_amount is 12579. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is 'no known property'. The age is 44. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>'used car'</td>
      <td>12579</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'no known property'</td>
      <td>44</td>
      <td>none</td>
      <td>'for free'</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 24 & 'existing paid' & 'used car' & 12579 & '<100' & '>=7' & 4 & none & 2 & 'no known property' & 44 & none & 'for free' & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 44, 'checking_status': ""'0<=X<200'"", 'credit_amount': 12579, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': ""'for free'"", 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': ""'used car'"", 'residence_since': 2, 'savings_status': ""'<100'""}",A 44-year-old female German Foreigner is applying for a loan of 12579 credits for 24 months for used car purposes. She has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for more than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. She has lived in a free accommodation for 2 years.  She owns no known property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
221,male,'no checking',30,'critical/other existing credit','used car',7596,'no known savings','>=7',1,none,4,car,63,none,own,2,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 30, credit_history is 'critical/other existing credit', purpose is 'used car', credit_amount is 7596, savings_status is 'no known savings', employment is '>=7', installment_commitment is 1, other_parties is none, residence_since is 4, property_magnitude is car, age is 63, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 30
 - credit_history : 'critical/other existing credit'
 - purpose : 'used car'
 - credit_amount : 7596
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 63
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 30. The credit_history is 'critical/other existing credit'. The purpose is 'used car'. The credit_amount is 7596. The savings_status is 'no known savings'. The employment is '>=7'. The installment_commitment is 1. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 63. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>30</td>
      <td>'critical/other existing credit'</td>
      <td>'used car'</td>
      <td>7596</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>1</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>63</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 30 & 'critical/other existing credit' & 'used car' & 7596 & 'no known savings' & '>=7' & 1 & none & 4 & car & 63 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 63, 'checking_status': ""'no checking'"", 'credit_amount': 7596, 'credit_history': ""'critical/other existing credit'"", 'duration': 30, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 63-year-old male German Foreigner is applying for a loan of 7596 credits for 30 months for used car purposes. He has no checking account and no known savings. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 4 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
222,female,'no checking',15,'delayed previously',furniture/equipment,960,'>=1000','4<=X<7',3,none,2,'life insurance',30,none,own,2,skilled,1,none,yes,good,"gender is female, checking_status is 'no checking', duration is 15, credit_history is 'delayed previously', purpose is furniture/equipment, credit_amount is 960, savings_status is '>=1000', employment is '4<=X<7', installment_commitment is 3, other_parties is none, residence_since is 2, property_magnitude is 'life insurance', age is 30, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 15
 - credit_history : 'delayed previously'
 - purpose : furniture/equipment
 - credit_amount : 960
 - savings_status : '>=1000'
 - employment : '4<=X<7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 30
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 15. The credit_history is 'delayed previously'. The purpose is furniture/equipment. The credit_amount is 960. The savings_status is '>=1000'. The employment is '4<=X<7'. The installment_commitment is 3. The other_parties is none. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 30. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>15</td>
      <td>'delayed previously'</td>
      <td>furniture/equipment</td>
      <td>960</td>
      <td>'&gt;=1000'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>3</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>30</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 15 & 'delayed previously' & furniture/equipment & 960 & '>=1000' & '4<=X<7' & 3 & none & 2 & 'life insurance' & 30 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 30, 'checking_status': ""'no checking'"", 'credit_amount': 960, 'credit_history': ""'delayed previously'"", 'duration': 15, 'employment': ""'4<=X<7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 2, 'savings_status': ""'>=1000'""}",A 30-year-old female German Foreigner is applying for a loan of 960 credits for 15 months for furniture or equipment purposes. She has no checking account and a savings with 1000 Deutsche Mark or more. She has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. She has no other installment plans and 2 credits at this bank. She is employed for more than four years but less than seven years. She has lived in a self-owned house for 2 years.  She owns life insurance property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
223,male,'0<=X<200',48,'existing paid',radio/tv,3979,'no known savings','4<=X<7',4,none,1,car,41,none,own,2,skilled,2,yes,yes,good,"gender is male, checking_status is '0<=X<200', duration is 48, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 3979, savings_status is 'no known savings', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 1, property_magnitude is car, age is 41, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 2, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 48
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 3979
 - savings_status : 'no known savings'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 1
 - property_magnitude : car
 - age : 41
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 2
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 48. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 3979. The savings_status is 'no known savings'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is none. The residence_since is 1. The property_magnitude is car. The age is 41. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 2. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>48</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>3979</td>
      <td>'no known savings'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>1</td>
      <td>car</td>
      <td>41</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>2</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 48 & 'existing paid' & radio/tv & 3979 & 'no known savings' & '4<=X<7' & 4 & none & 1 & car & 41 & none & own & 2 & skilled & 2 & yes & yes \\
\end{tabular}
","{'age': 41, 'checking_status': ""'0<=X<200'"", 'credit_amount': 3979, 'credit_history': ""'existing paid'"", 'duration': 48, 'employment': ""'4<=X<7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 1, 'savings_status': ""'no known savings'""}",A 41-year-old male German Foreigner is applying for a loan of 3979 credits for 48 months for radio or tv purposes. He has a checking account with less than 200 Deutsche Mark and no known savings. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 1 years.  He owns a car. He owns a telephone and has 2 people that he is liable to provide maintenance for.
224,male,'no checking',24,'critical/other existing credit',repairs,2058,'<100','1<=X<4',4,none,2,'real estate',33,none,own,2,skilled,1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'critical/other existing credit', purpose is repairs, credit_amount is 2058, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 33, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'critical/other existing credit'
 - purpose : repairs
 - credit_amount : 2058
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 33
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 24. The credit_history is 'critical/other existing credit'. The purpose is repairs. The credit_amount is 2058. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 33. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'critical/other existing credit'</td>
      <td>repairs</td>
      <td>2058</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>33</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 24 & 'critical/other existing credit' & repairs & 2058 & '<100' & '1<=X<4' & 4 & none & 2 & 'real estate' & 33 & none & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 33, 'checking_status': ""'no checking'"", 'credit_amount': 2058, 'credit_history': ""'critical/other existing credit'"", 'duration': 24, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': 'repairs', 'residence_since': 2, 'savings_status': ""'<100'""}",A 33-year-old male German Foreigner is applying for a loan of 2058 credits for 24 months for repairs purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 2 years.  He owns some real estate property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
225,female,'<0',18,'existing paid',furniture/equipment,3650,'<100','<1',1,none,4,car,22,none,rent,1,skilled,1,none,yes,good,"gender is female, checking_status is '<0', duration is 18, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 3650, savings_status is '<100', employment is '<1', installment_commitment is 1, other_parties is none, residence_since is 4, property_magnitude is car, age is 22, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 3650
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 22
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 18. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 3650. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 1. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 22. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>18</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>3650</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>1</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>22</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 18 & 'existing paid' & furniture/equipment & 3650 & '<100' & '<1' & 1 & none & 4 & car & 22 & none & rent & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 22, 'checking_status': ""'<0'"", 'credit_amount': 3650, 'credit_history': ""'existing paid'"", 'duration': 18, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'<100'""}",A 22-year-old female German Foreigner is applying for a loan of 3650 credits for 18 months for furniture or equipment purposes. She has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. She has no other installment plans and 1 credits at this bank. She is employed for less than one years. She has lived in a rented apartment for 4 years.  She owns a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
226,female,'<0',24,'existing paid',other,1755,'<100','>=7',4,guarantor,4,'real estate',58,none,own,1,'unskilled resident',1,yes,yes,good,"gender is female, checking_status is '<0', duration is 24, credit_history is 'existing paid', purpose is other, credit_amount is 1755, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is guarantor, residence_since is 4, property_magnitude is 'real estate', age is 58, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : other
 - credit_amount : 1755
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : guarantor
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 58
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 24. The credit_history is 'existing paid'. The purpose is other. The credit_amount is 1755. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is guarantor. The residence_since is 4. The property_magnitude is 'real estate'. The age is 58. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>other</td>
      <td>1755</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>guarantor</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>58</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 24 & 'existing paid' & other & 1755 & '<100' & '>=7' & 4 & guarantor & 4 & 'real estate' & 58 & none & own & 1 & 'unskilled resident' & 1 & yes & yes \\
\end{tabular}
","{'age': 58, 'checking_status': ""'<0'"", 'credit_amount': 1755, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'guarantor', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': 'other', 'residence_since': 4, 'savings_status': ""'<100'""}",A 58-year-old female German Foreigner is applying for a loan of 1755 credits for 24 months for other purposes. She has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There is a guarantor associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for more than seven years and is recognized as an unskilled resident individual. She has lived in a self-owned house for 4 years.  She owns some real estate property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
227,male,'0<=X<200',15,'critical/other existing credit',radio/tv,1537,'no known savings','>=7',4,guarantor,4,'real estate',50,none,own,2,skilled,1,yes,yes,good,"gender is male, checking_status is '0<=X<200', duration is 15, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 1537, savings_status is 'no known savings', employment is '>=7', installment_commitment is 4, other_parties is guarantor, residence_since is 4, property_magnitude is 'real estate', age is 50, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 15
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 1537
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : guarantor
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 50
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 15. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 1537. The savings_status is 'no known savings'. The employment is '>=7'. The installment_commitment is 4. The other_parties is guarantor. The residence_since is 4. The property_magnitude is 'real estate'. The age is 50. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>15</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>1537</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>guarantor</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>50</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 15 & 'critical/other existing credit' & radio/tv & 1537 & 'no known savings' & '>=7' & 4 & guarantor & 4 & 'real estate' & 50 & none & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 50, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1537, 'credit_history': ""'critical/other existing credit'"", 'duration': 15, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'guarantor', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 50-year-old male German Foreigner is applying for a loan of 1537 credits for 15 months for radio or tv purposes. He has a checking account with less than 200 Deutsche Mark and no known savings. He has critical account or has other credits existing but not at this bank. There is a guarantor associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 4 years.  He owns some real estate property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
228,female,'no checking',12,'existing paid',radio/tv,1493,'<100','<1',4,none,3,car,34,none,own,1,skilled,2,none,yes,good,"gender is female, checking_status is 'no checking', duration is 12, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1493, savings_status is '<100', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 3, property_magnitude is car, age is 34, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1493
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : car
 - age : 34
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 12. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1493. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 3. The property_magnitude is car. The age is 34. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1493</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>car</td>
      <td>34</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 12 & 'existing paid' & radio/tv & 1493 & '<100' & '<1' & 4 & none & 3 & car & 34 & none & own & 1 & skilled & 2 & none & yes \\
\end{tabular}
","{'age': 34, 'checking_status': ""'no checking'"", 'credit_amount': 1493, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 3, 'savings_status': ""'<100'""}",A 34-year-old female German Foreigner is applying for a loan of 1493 credits for 12 months for radio or tv purposes. She has no checking account and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for less than one years. She has lived in a self-owned house for 3 years.  She owns a car. She does not own a telephone and has 2 people that she is liable to provide maintenance for.
229,male,'0<=X<200',48,'all paid','new car',12169,'no known savings',unemployed,4,'co applicant',4,'no known property',36,none,'for free',1,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is male, checking_status is '0<=X<200', duration is 48, credit_history is 'all paid', purpose is 'new car', credit_amount is 12169, savings_status is 'no known savings', employment is unemployed, installment_commitment is 4, other_parties is 'co applicant', residence_since is 4, property_magnitude is 'no known property', age is 36, other_payment_plans is none, housing is 'for free', existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 48
 - credit_history : 'all paid'
 - purpose : 'new car'
 - credit_amount : 12169
 - savings_status : 'no known savings'
 - employment : unemployed
 - installment_commitment : 4
 - other_parties : 'co applicant'
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 36
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 48. The credit_history is 'all paid'. The purpose is 'new car'. The credit_amount is 12169. The savings_status is 'no known savings'. The employment is unemployed. The installment_commitment is 4. The other_parties is 'co applicant'. The residence_since is 4. The property_magnitude is 'no known property'. The age is 36. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>48</td>
      <td>'all paid'</td>
      <td>'new car'</td>
      <td>12169</td>
      <td>'no known savings'</td>
      <td>unemployed</td>
      <td>4</td>
      <td>'co applicant'</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>36</td>
      <td>none</td>
      <td>'for free'</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 48 & 'all paid' & 'new car' & 12169 & 'no known savings' & unemployed & 4 & 'co applicant' & 4 & 'no known property' & 36 & none & 'for free' & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 36, 'checking_status': ""'0<=X<200'"", 'credit_amount': 12169, 'credit_history': ""'all paid'"", 'duration': 48, 'employment': 'unemployed', 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': ""'co applicant'"", 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 36-year-old male German Foreigner is applying for a loan of 12169 credits for 48 months for new car purposes. He has a checking account with less than 200 Deutsche Mark and no known savings. He has duly paid back all credits at this bank. There co-applicant associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is unemployed and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a free accommodation for 4 years.  He owns no known property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
230,female,'<0',47,'existing paid','new car',10722,'<100','<1',1,none,1,'real estate',35,none,own,1,'unskilled resident',1,yes,yes,good,"gender is female, checking_status is '<0', duration is 47, credit_history is 'existing paid', purpose is 'new car', credit_amount is 10722, savings_status is '<100', employment is '<1', installment_commitment is 1, other_parties is none, residence_since is 1, property_magnitude is 'real estate', age is 35, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 47
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 10722
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'real estate'
 - age : 35
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 47. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 10722. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 1. The other_parties is none. The residence_since is 1. The property_magnitude is 'real estate'. The age is 35. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>47</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>10722</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>1</td>
      <td>none</td>
      <td>1</td>
      <td>'real estate'</td>
      <td>35</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 47 & 'existing paid' & 'new car' & 10722 & '<100' & '<1' & 1 & none & 1 & 'real estate' & 35 & none & own & 1 & 'unskilled resident' & 1 & yes & yes \\
\end{tabular}
","{'age': 35, 'checking_status': ""'<0'"", 'credit_amount': 10722, 'credit_history': ""'existing paid'"", 'duration': 47, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 1, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 1, 'savings_status': ""'<100'""}",A 35-year-old female German Foreigner is applying for a loan of 10722 credits for 47 months for new car purposes. She has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. She has no other installment plans and 1 credits at this bank. She is employed for less than one years and is recognized as an unskilled resident individual. She has lived in a self-owned house for 1 years.  She owns some real estate property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
231,male,'0<=X<200',18,'existing paid',education,1239,'no known savings','1<=X<4',4,none,4,'no known property',61,none,'for free',1,skilled,1,none,yes,good,"gender is male, checking_status is '0<=X<200', duration is 18, credit_history is 'existing paid', purpose is education, credit_amount is 1239, savings_status is 'no known savings', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 61, other_payment_plans is none, housing is 'for free', existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : education
 - credit_amount : 1239
 - savings_status : 'no known savings'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 61
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 18. The credit_history is 'existing paid'. The purpose is education. The credit_amount is 1239. The savings_status is 'no known savings'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 61. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>18</td>
      <td>'existing paid'</td>
      <td>education</td>
      <td>1239</td>
      <td>'no known savings'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>61</td>
      <td>none</td>
      <td>'for free'</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 18 & 'existing paid' & education & 1239 & 'no known savings' & '1<=X<4' & 4 & none & 4 & 'no known property' & 61 & none & 'for free' & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 61, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1239, 'credit_history': ""'existing paid'"", 'duration': 18, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'no known property'"", 'purpose': 'education', 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 61-year-old male German Foreigner is applying for a loan of 1239 credits for 18 months for education purposes. He has a checking account with less than 200 Deutsche Mark and no known savings. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a free accommodation for 4 years.  He owns no known property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
232,male,'no checking',10,'existing paid',education,727,'500<=X<1000','>=7',4,none,4,'no known property',46,none,'for free',1,skilled,1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 10, credit_history is 'existing paid', purpose is education, credit_amount is 727, savings_status is '500<=X<1000', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 46, other_payment_plans is none, housing is 'for free', existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 10
 - credit_history : 'existing paid'
 - purpose : education
 - credit_amount : 727
 - savings_status : '500<=X<1000'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 46
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 10. The credit_history is 'existing paid'. The purpose is education. The credit_amount is 727. The savings_status is '500<=X<1000'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 46. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>10</td>
      <td>'existing paid'</td>
      <td>education</td>
      <td>727</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>46</td>
      <td>none</td>
      <td>'for free'</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 10 & 'existing paid' & education & 727 & '500<=X<1000' & '>=7' & 4 & none & 4 & 'no known property' & 46 & none & 'for free' & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 46, 'checking_status': ""'no checking'"", 'credit_amount': 727, 'credit_history': ""'existing paid'"", 'duration': 10, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': 'education', 'residence_since': 4, 'savings_status': ""'500<=X<1000'""}",A 46-year-old male German Foreigner is applying for a loan of 727 credits for 10 months for education purposes. He has no checking account and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years. He has lived in a free accommodation for 4 years.  He owns no known property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
233,male,'<0',11,'critical/other existing credit','new car',3905,'<100','1<=X<4',2,none,2,'real estate',36,none,rent,2,skilled,2,none,yes,good,"gender is male, checking_status is '<0', duration is 11, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 3905, savings_status is '<100', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 36, other_payment_plans is none, housing is rent, existing_credits is 2, job is skilled, num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 11
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 3905
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 36
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 2
 - job : skilled
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 11. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 3905. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 36. The other_payment_plans is none. The housing is rent. The existing_credits is 2. The job is skilled. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>11</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>3905</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>36</td>
      <td>none</td>
      <td>rent</td>
      <td>2</td>
      <td>skilled</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 11 & 'critical/other existing credit' & 'new car' & 3905 & '<100' & '1<=X<4' & 2 & none & 2 & 'real estate' & 36 & none & rent & 2 & skilled & 2 & none & yes \\
\end{tabular}
","{'age': 36, 'checking_status': ""'<0'"", 'credit_amount': 3905, 'credit_history': ""'critical/other existing credit'"", 'duration': 11, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'<100'""}",A 36-year-old male German Foreigner is applying for a loan of 3905 credits for 11 months for new car purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 2 credits at this bank. He is employed for more than one year but less than four years. He has lived in a rented apartment for 2 years.  He owns some real estate property. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
234,female,'no checking',6,'existing paid',furniture/equipment,4611,'<100','<1',1,none,4,'life insurance',32,none,own,1,skilled,1,none,yes,bad,"gender is female, checking_status is 'no checking', duration is 6, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 4611, savings_status is '<100', employment is '<1', installment_commitment is 1, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 32, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 6
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 4611
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 32
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 6. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 4611. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 1. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 32. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>6</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>4611</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>1</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>32</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 6 & 'existing paid' & furniture/equipment & 4611 & '<100' & '<1' & 1 & none & 4 & 'life insurance' & 32 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 32, 'checking_status': ""'no checking'"", 'credit_amount': 4611, 'credit_history': ""'existing paid'"", 'duration': 6, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'<100'""}",A 32-year-old female German Foreigner is applying for a loan of 4611 credits for 6 months for furniture or equipment purposes. She has no checking account and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. She has no other installment plans and 1 credits at this bank. She is employed for less than one years. She has lived in a self-owned house for 4 years.  She owns life insurance property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
235,female,'0<=X<200',12,'existing paid',radio/tv,1567,'<100','1<=X<4',1,none,1,car,22,none,own,1,skilled,1,yes,yes,good,"gender is female, checking_status is '0<=X<200', duration is 12, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1567, savings_status is '<100', employment is '1<=X<4', installment_commitment is 1, other_parties is none, residence_since is 1, property_magnitude is car, age is 22, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1567
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 1
 - property_magnitude : car
 - age : 22
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 12. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1567. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 1. The other_parties is none. The residence_since is 1. The property_magnitude is car. The age is 22. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1567</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>1</td>
      <td>none</td>
      <td>1</td>
      <td>car</td>
      <td>22</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 12 & 'existing paid' & radio/tv & 1567 & '<100' & '1<=X<4' & 1 & none & 1 & car & 22 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 22, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1567, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 1, 'savings_status': ""'<100'""}",A 22-year-old female German Foreigner is applying for a loan of 1567 credits for 12 months for radio or tv purposes. She has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. She has no other installment plans and 1 credits at this bank. She is employed for more than one year but less than four years. She has lived in a self-owned house for 1 years.  She owns a car. She owns a telephone and has 1 person that she is liable to provide maintenance for.
236,male,'<0',21,'all paid','new car',1647,'no known savings','1<=X<4',4,none,2,'life insurance',40,none,own,2,'unskilled resident',2,none,yes,bad,"gender is male, checking_status is '<0', duration is 21, credit_history is 'all paid', purpose is 'new car', credit_amount is 1647, savings_status is 'no known savings', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is 'life insurance', age is 40, other_payment_plans is none, housing is own, existing_credits is 2, job is 'unskilled resident', num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 21
 - credit_history : 'all paid'
 - purpose : 'new car'
 - credit_amount : 1647
 - savings_status : 'no known savings'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 40
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : 'unskilled resident'
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 21. The credit_history is 'all paid'. The purpose is 'new car'. The credit_amount is 1647. The savings_status is 'no known savings'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 40. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is 'unskilled resident'. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>21</td>
      <td>'all paid'</td>
      <td>'new car'</td>
      <td>1647</td>
      <td>'no known savings'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>40</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>'unskilled resident'</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 21 & 'all paid' & 'new car' & 1647 & 'no known savings' & '1<=X<4' & 4 & none & 2 & 'life insurance' & 40 & none & own & 2 & 'unskilled resident' & 2 & none & yes \\
\end{tabular}
","{'age': 40, 'checking_status': ""'<0'"", 'credit_amount': 1647, 'credit_history': ""'all paid'"", 'duration': 21, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'no known savings'""}",A 40-year-old male German Foreigner is applying for a loan of 1647 credits for 21 months for new car purposes. He has a checking account with 0 Deutsche Mark and no known savings. He has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than one year but less than four years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 2 years.  He owns life insurance property. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
237,male,'<0',36,'existing paid',furniture/equipment,3446,'<100','>=7',4,none,2,car,42,none,own,1,skilled,2,none,yes,bad,"gender is male, checking_status is '<0', duration is 36, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 3446, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is car, age is 42, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 36
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 3446
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 42
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 36. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 3446. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 42. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>36</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>3446</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>42</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 36 & 'existing paid' & furniture/equipment & 3446 & '<100' & '>=7' & 4 & none & 2 & car & 42 & none & own & 1 & skilled & 2 & none & yes \\
\end{tabular}
","{'age': 42, 'checking_status': ""'<0'"", 'credit_amount': 3446, 'credit_history': ""'existing paid'"", 'duration': 36, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'furniture/equipment', 'residence_since': 2, 'savings_status': ""'<100'""}",A 42-year-old male German Foreigner is applying for a loan of 3446 credits for 36 months for furniture or equipment purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 2 years.  He owns a car. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
238,male,'no checking',24,'existing paid','used car',9277,'no known savings','1<=X<4',2,none,4,'no known property',48,none,'for free',1,skilled,1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'existing paid', purpose is 'used car', credit_amount is 9277, savings_status is 'no known savings', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 48, other_payment_plans is none, housing is 'for free', existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : 'used car'
 - credit_amount : 9277
 - savings_status : 'no known savings'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 48
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 24. The credit_history is 'existing paid'. The purpose is 'used car'. The credit_amount is 9277. The savings_status is 'no known savings'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 48. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>'used car'</td>
      <td>9277</td>
      <td>'no known savings'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>48</td>
      <td>none</td>
      <td>'for free'</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 24 & 'existing paid' & 'used car' & 9277 & 'no known savings' & '1<=X<4' & 2 & none & 4 & 'no known property' & 48 & none & 'for free' & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 48, 'checking_status': ""'no checking'"", 'credit_amount': 9277, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 48-year-old male German Foreigner is applying for a loan of 9277 credits for 24 months for used car purposes. He has no checking account and no known savings. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a free accommodation for 4 years.  He owns no known property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
239,male,'0<=X<200',48,'no credits/all paid',business,12204,'no known savings','1<=X<4',2,none,2,car,48,bank,own,1,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is male, checking_status is '0<=X<200', duration is 48, credit_history is 'no credits/all paid', purpose is business, credit_amount is 12204, savings_status is 'no known savings', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 2, property_magnitude is car, age is 48, other_payment_plans is bank, housing is own, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 48
 - credit_history : 'no credits/all paid'
 - purpose : business
 - credit_amount : 12204
 - savings_status : 'no known savings'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 48
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 48. The credit_history is 'no credits/all paid'. The purpose is business. The credit_amount is 12204. The savings_status is 'no known savings'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 48. The other_payment_plans is bank. The housing is own. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>48</td>
      <td>'no credits/all paid'</td>
      <td>business</td>
      <td>12204</td>
      <td>'no known savings'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>48</td>
      <td>bank</td>
      <td>own</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 48 & 'no credits/all paid' & business & 12204 & 'no known savings' & '1<=X<4' & 2 & none & 2 & car & 48 & bank & own & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 48, 'checking_status': ""'0<=X<200'"", 'credit_amount': 12204, 'credit_history': ""'no credits/all paid'"", 'duration': 48, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'business', 'residence_since': 2, 'savings_status': ""'no known savings'""}",A 48-year-old male German Foreigner is applying for a loan of 12204 credits for 48 months for business purposes. He has a checking account with less than 200 Deutsche Mark and no known savings. He did not take any credits at this bank or has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has other installment plans with a bank and 1 credits at this bank. He is employed for more than one year but less than four years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 2 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
240,male,'no checking',24,'delayed previously',business,2978,'no known savings','1<=X<4',4,none,4,'real estate',32,none,own,2,skilled,2,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'delayed previously', purpose is business, credit_amount is 2978, savings_status is 'no known savings', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 32, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 2, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'delayed previously'
 - purpose : business
 - credit_amount : 2978
 - savings_status : 'no known savings'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 32
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 2
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 24. The credit_history is 'delayed previously'. The purpose is business. The credit_amount is 2978. The savings_status is 'no known savings'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 32. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 2. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'delayed previously'</td>
      <td>business</td>
      <td>2978</td>
      <td>'no known savings'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>32</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>2</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 24 & 'delayed previously' & business & 2978 & 'no known savings' & '1<=X<4' & 4 & none & 4 & 'real estate' & 32 & none & own & 2 & skilled & 2 & yes & yes \\
\end{tabular}
","{'age': 32, 'checking_status': ""'no checking'"", 'credit_amount': 2978, 'credit_history': ""'delayed previously'"", 'duration': 24, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': 'business', 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 32-year-old male German Foreigner is applying for a loan of 2978 credits for 24 months for business purposes. He has no checking account and no known savings. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 4 years.  He owns some real estate property. He owns a telephone and has 2 people that he is liable to provide maintenance for.
241,female,'no checking',24,'existing paid','used car',5433,'no known savings',unemployed,2,none,4,'life insurance',26,none,rent,1,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is female, checking_status is 'no checking', duration is 24, credit_history is 'existing paid', purpose is 'used car', credit_amount is 5433, savings_status is 'no known savings', employment is unemployed, installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 26, other_payment_plans is none, housing is rent, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : 'used car'
 - credit_amount : 5433
 - savings_status : 'no known savings'
 - employment : unemployed
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 26
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 24. The credit_history is 'existing paid'. The purpose is 'used car'. The credit_amount is 5433. The savings_status is 'no known savings'. The employment is unemployed. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 26. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>'used car'</td>
      <td>5433</td>
      <td>'no known savings'</td>
      <td>unemployed</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>26</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 24 & 'existing paid' & 'used car' & 5433 & 'no known savings' & unemployed & 2 & none & 4 & 'life insurance' & 26 & none & rent & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 26, 'checking_status': ""'no checking'"", 'credit_amount': 5433, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': 'unemployed', 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 2, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 26-year-old female German Foreigner is applying for a loan of 5433 credits for 24 months for used car purposes. She has no checking account and no known savings. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has no other installment plans and 1 credits at this bank. She is unemployed and is recognized as a highly qualified employee or is self employed or has managerial position. She has lived in a rented apartment for 4 years.  She owns life insurance property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
242,male,'0<=X<200',15,'existing paid',repairs,1514,'100<=X<500','1<=X<4',4,guarantor,2,'real estate',22,none,own,1,skilled,1,none,yes,good,"gender is male, checking_status is '0<=X<200', duration is 15, credit_history is 'existing paid', purpose is repairs, credit_amount is 1514, savings_status is '100<=X<500', employment is '1<=X<4', installment_commitment is 4, other_parties is guarantor, residence_since is 2, property_magnitude is 'real estate', age is 22, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 15
 - credit_history : 'existing paid'
 - purpose : repairs
 - credit_amount : 1514
 - savings_status : '100<=X<500'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : guarantor
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 22
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 15. The credit_history is 'existing paid'. The purpose is repairs. The credit_amount is 1514. The savings_status is '100<=X<500'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is guarantor. The residence_since is 2. The property_magnitude is 'real estate'. The age is 22. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>15</td>
      <td>'existing paid'</td>
      <td>repairs</td>
      <td>1514</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>guarantor</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>22</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 15 & 'existing paid' & repairs & 1514 & '100<=X<500' & '1<=X<4' & 4 & guarantor & 2 & 'real estate' & 22 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 22, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1514, 'credit_history': ""'existing paid'"", 'duration': 15, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'guarantor', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'repairs', 'residence_since': 2, 'savings_status': ""'100<=X<500'""}",A 22-year-old male German Foreigner is applying for a loan of 1514 credits for 15 months for repairs purposes. He has a checking account with less than 200 Deutsche Mark and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. He has duly paid back credits received from this bank till now. There is a guarantor associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 2 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
243,male,'0<=X<200',36,'delayed previously','new car',8086,'100<=X<500','>=7',2,none,4,car,42,none,own,4,'high qualif/self emp/mgmt',1,yes,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 36, credit_history is 'delayed previously', purpose is 'new car', credit_amount is 8086, savings_status is '100<=X<500', employment is '>=7', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is car, age is 42, other_payment_plans is none, housing is own, existing_credits is 4, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 36
 - credit_history : 'delayed previously'
 - purpose : 'new car'
 - credit_amount : 8086
 - savings_status : '100<=X<500'
 - employment : '>=7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 42
 - other_payment_plans : none
 - housing : own
 - existing_credits : 4
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 36. The credit_history is 'delayed previously'. The purpose is 'new car'. The credit_amount is 8086. The savings_status is '100<=X<500'. The employment is '>=7'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 42. The other_payment_plans is none. The housing is own. The existing_credits is 4. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>36</td>
      <td>'delayed previously'</td>
      <td>'new car'</td>
      <td>8086</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'&gt;=7'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>42</td>
      <td>none</td>
      <td>own</td>
      <td>4</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 36 & 'delayed previously' & 'new car' & 8086 & '100<=X<500' & '>=7' & 2 & none & 4 & car & 42 & none & own & 4 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 42, 'checking_status': ""'0<=X<200'"", 'credit_amount': 8086, 'credit_history': ""'delayed previously'"", 'duration': 36, 'employment': ""'>=7'"", 'existing_credits': 4, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'100<=X<500'""}",A 42-year-old male German Foreigner is applying for a loan of 8086 credits for 36 months for new car purposes. He has a checking account with less than 200 Deutsche Mark and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 4 credits at this bank. He is employed for more than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 4 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
244,male,'<0',24,'delayed previously','new car',1333,'<100',unemployed,4,none,2,'real estate',43,none,'for free',2,skilled,2,none,yes,bad,"gender is male, checking_status is '<0', duration is 24, credit_history is 'delayed previously', purpose is 'new car', credit_amount is 1333, savings_status is '<100', employment is unemployed, installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 43, other_payment_plans is none, housing is 'for free', existing_credits is 2, job is skilled, num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 24
 - credit_history : 'delayed previously'
 - purpose : 'new car'
 - credit_amount : 1333
 - savings_status : '<100'
 - employment : unemployed
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 43
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 2
 - job : skilled
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 24. The credit_history is 'delayed previously'. The purpose is 'new car'. The credit_amount is 1333. The savings_status is '<100'. The employment is unemployed. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 43. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 2. The job is skilled. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>24</td>
      <td>'delayed previously'</td>
      <td>'new car'</td>
      <td>1333</td>
      <td>'&lt;100'</td>
      <td>unemployed</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>43</td>
      <td>none</td>
      <td>'for free'</td>
      <td>2</td>
      <td>skilled</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 24 & 'delayed previously' & 'new car' & 1333 & '<100' & unemployed & 4 & none & 2 & 'real estate' & 43 & none & 'for free' & 2 & skilled & 2 & none & yes \\
\end{tabular}
","{'age': 43, 'checking_status': ""'<0'"", 'credit_amount': 1333, 'credit_history': ""'delayed previously'"", 'duration': 24, 'employment': 'unemployed', 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'<100'""}",A 43-year-old male German Foreigner is applying for a loan of 1333 credits for 24 months for new car purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is unemployed. He has lived in a free accommodation for 2 years.  He owns some real estate property. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
245,female,'no checking',9,'existing paid',furniture/equipment,1388,'<100','1<=X<4',4,none,2,'real estate',26,none,rent,1,skilled,1,none,yes,good,"gender is female, checking_status is 'no checking', duration is 9, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 1388, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 26, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 9
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 1388
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 26
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 9. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 1388. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 26. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>9</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>1388</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>26</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 9 & 'existing paid' & furniture/equipment & 1388 & '<100' & '1<=X<4' & 4 & none & 2 & 'real estate' & 26 & none & rent & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 26, 'checking_status': ""'no checking'"", 'credit_amount': 1388, 'credit_history': ""'existing paid'"", 'duration': 9, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'furniture/equipment', 'residence_since': 2, 'savings_status': ""'<100'""}",A 26-year-old female German Foreigner is applying for a loan of 1388 credits for 9 months for furniture or equipment purposes. She has no checking account and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for more than one year but less than four years. She has lived in a rented apartment for 2 years.  She owns some real estate property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
246,female,'no checking',9,'existing paid',furniture/equipment,1980,'<100','<1',2,'co applicant',2,car,19,none,rent,2,skilled,1,none,yes,bad,"gender is female, checking_status is 'no checking', duration is 9, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 1980, savings_status is '<100', employment is '<1', installment_commitment is 2, other_parties is 'co applicant', residence_since is 2, property_magnitude is car, age is 19, other_payment_plans is none, housing is rent, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 9
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 1980
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 2
 - other_parties : 'co applicant'
 - residence_since : 2
 - property_magnitude : car
 - age : 19
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 9. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 1980. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 2. The other_parties is 'co applicant'. The residence_since is 2. The property_magnitude is car. The age is 19. The other_payment_plans is none. The housing is rent. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>9</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>1980</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>2</td>
      <td>'co applicant'</td>
      <td>2</td>
      <td>car</td>
      <td>19</td>
      <td>none</td>
      <td>rent</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 9 & 'existing paid' & furniture/equipment & 1980 & '<100' & '<1' & 2 & 'co applicant' & 2 & car & 19 & none & rent & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 19, 'checking_status': ""'no checking'"", 'credit_amount': 1980, 'credit_history': ""'existing paid'"", 'duration': 9, 'employment': ""'<1'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': ""'co applicant'"", 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'furniture/equipment', 'residence_since': 2, 'savings_status': ""'<100'""}",A 19-year-old female German Foreigner is applying for a loan of 1980 credits for 9 months for furniture or equipment purposes. She has no checking account and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There co-applicant associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has no other installment plans and 2 credits at this bank. She is employed for less than one years. She has lived in a rented apartment for 2 years.  She owns a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
247,male,'<0',12,'existing paid',furniture/equipment,2577,'<100','1<=X<4',2,none,1,car,42,none,own,1,skilled,1,none,yes,good,"gender is male, checking_status is '<0', duration is 12, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 2577, savings_status is '<100', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 1, property_magnitude is car, age is 42, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 2577
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 1
 - property_magnitude : car
 - age : 42
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 12. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 2577. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 1. The property_magnitude is car. The age is 42. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>2577</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>1</td>
      <td>car</td>
      <td>42</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 12 & 'existing paid' & furniture/equipment & 2577 & '<100' & '1<=X<4' & 2 & none & 1 & car & 42 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 42, 'checking_status': ""'<0'"", 'credit_amount': 2577, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'furniture/equipment', 'residence_since': 1, 'savings_status': ""'<100'""}",A 42-year-old male German Foreigner is applying for a loan of 2577 credits for 12 months for furniture or equipment purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 1 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
248,male,'no checking',24,'critical/other existing credit',other,6314,'<100',unemployed,4,'co applicant',2,'no known property',27,bank,own,2,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'critical/other existing credit', purpose is other, credit_amount is 6314, savings_status is '<100', employment is unemployed, installment_commitment is 4, other_parties is 'co applicant', residence_since is 2, property_magnitude is 'no known property', age is 27, other_payment_plans is bank, housing is own, existing_credits is 2, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'critical/other existing credit'
 - purpose : other
 - credit_amount : 6314
 - savings_status : '<100'
 - employment : unemployed
 - installment_commitment : 4
 - other_parties : 'co applicant'
 - residence_since : 2
 - property_magnitude : 'no known property'
 - age : 27
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 2
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 24. The credit_history is 'critical/other existing credit'. The purpose is other. The credit_amount is 6314. The savings_status is '<100'. The employment is unemployed. The installment_commitment is 4. The other_parties is 'co applicant'. The residence_since is 2. The property_magnitude is 'no known property'. The age is 27. The other_payment_plans is bank. The housing is own. The existing_credits is 2. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'critical/other existing credit'</td>
      <td>other</td>
      <td>6314</td>
      <td>'&lt;100'</td>
      <td>unemployed</td>
      <td>4</td>
      <td>'co applicant'</td>
      <td>2</td>
      <td>'no known property'</td>
      <td>27</td>
      <td>bank</td>
      <td>own</td>
      <td>2</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 24 & 'critical/other existing credit' & other & 6314 & '<100' & unemployed & 4 & 'co applicant' & 2 & 'no known property' & 27 & bank & own & 2 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 27, 'checking_status': ""'no checking'"", 'credit_amount': 6314, 'credit_history': ""'critical/other existing credit'"", 'duration': 24, 'employment': 'unemployed', 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': ""'co applicant'"", 'other_payment_plans': 'bank', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': 'other', 'residence_since': 2, 'savings_status': ""'<100'""}",A 27-year-old male German Foreigner is applying for a loan of 6314 credits for 24 months for other purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There co-applicant associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a bank and 2 credits at this bank. He is unemployed and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 2 years.  He owns no known property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
249,male,'no checking',6,'critical/other existing credit','new car',2080,'500<=X<1000','1<=X<4',1,none,2,car,24,none,own,1,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 6, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 2080, savings_status is '500<=X<1000', employment is '1<=X<4', installment_commitment is 1, other_parties is none, residence_since is 2, property_magnitude is car, age is 24, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 6
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 2080
 - savings_status : '500<=X<1000'
 - employment : '1<=X<4'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 24
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 6. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 2080. The savings_status is '500<=X<1000'. The employment is '1<=X<4'. The installment_commitment is 1. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 24. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>6</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>2080</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>1</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>24</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 6 & 'critical/other existing credit' & 'new car' & 2080 & '500<=X<1000' & '1<=X<4' & 1 & none & 2 & car & 24 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 24, 'checking_status': ""'no checking'"", 'credit_amount': 2080, 'credit_history': ""'critical/other existing credit'"", 'duration': 6, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'500<=X<1000'""}",A 24-year-old male German Foreigner is applying for a loan of 2080 credits for 6 months for new car purposes. He has no checking account and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 2 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
250,female,'<0',18,'existing paid',furniture/equipment,2039,'<100','1<=X<4',1,none,4,'real estate',20,bank,rent,1,skilled,1,none,yes,bad,"gender is female, checking_status is '<0', duration is 18, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 2039, savings_status is '<100', employment is '1<=X<4', installment_commitment is 1, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 20, other_payment_plans is bank, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 2039
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 20
 - other_payment_plans : bank
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 18. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 2039. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 1. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 20. The other_payment_plans is bank. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>18</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>2039</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>1</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>20</td>
      <td>bank</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 18 & 'existing paid' & furniture/equipment & 2039 & '<100' & '1<=X<4' & 1 & none & 4 & 'real estate' & 20 & bank & rent & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 20, 'checking_status': ""'<0'"", 'credit_amount': 2039, 'credit_history': ""'existing paid'"", 'duration': 18, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'<100'""}",A 20-year-old female German Foreigner is applying for a loan of 2039 credits for 18 months for furniture or equipment purposes. She has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. She has other installment plans with a bank and 1 credits at this bank. She is employed for more than one year but less than four years. She has lived in a rented apartment for 4 years.  She owns some real estate property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
251,female,'no checking',15,'existing paid','domestic appliance',874,'no known savings','<1',4,none,1,'real estate',24,none,own,1,skilled,1,none,yes,good,"gender is female, checking_status is 'no checking', duration is 15, credit_history is 'existing paid', purpose is 'domestic appliance', credit_amount is 874, savings_status is 'no known savings', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 1, property_magnitude is 'real estate', age is 24, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 15
 - credit_history : 'existing paid'
 - purpose : 'domestic appliance'
 - credit_amount : 874
 - savings_status : 'no known savings'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'real estate'
 - age : 24
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 15. The credit_history is 'existing paid'. The purpose is 'domestic appliance'. The credit_amount is 874. The savings_status is 'no known savings'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 1. The property_magnitude is 'real estate'. The age is 24. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>15</td>
      <td>'existing paid'</td>
      <td>'domestic appliance'</td>
      <td>874</td>
      <td>'no known savings'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>1</td>
      <td>'real estate'</td>
      <td>24</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 15 & 'existing paid' & 'domestic appliance' & 874 & 'no known savings' & '<1' & 4 & none & 1 & 'real estate' & 24 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 24, 'checking_status': ""'no checking'"", 'credit_amount': 874, 'credit_history': ""'existing paid'"", 'duration': 15, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'domestic appliance'"", 'residence_since': 1, 'savings_status': ""'no known savings'""}",A 24-year-old female German Foreigner is applying for a loan of 874 credits for 15 months for domestic appliance purposes. She has no checking account and no known savings. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for less than one years. She has lived in a self-owned house for 1 years.  She owns some real estate property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
252,female,'<0',6,'critical/other existing credit',radio/tv,1957,'<100','4<=X<7',1,none,4,car,31,none,own,1,skilled,1,none,yes,good,"gender is female, checking_status is '<0', duration is 6, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 1957, savings_status is '<100', employment is '4<=X<7', installment_commitment is 1, other_parties is none, residence_since is 4, property_magnitude is car, age is 31, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 6
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 1957
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 31
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 6. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 1957. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 1. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 31. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>6</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>1957</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>1</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>31</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 6 & 'critical/other existing credit' & radio/tv & 1957 & '<100' & '4<=X<7' & 1 & none & 4 & car & 31 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 31, 'checking_status': ""'<0'"", 'credit_amount': 1957, 'credit_history': ""'critical/other existing credit'"", 'duration': 6, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'<100'""}",A 31-year-old female German Foreigner is applying for a loan of 1957 credits for 6 months for radio or tv purposes. She has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. She has no other installment plans and 1 credits at this bank. She is employed for more than four years but less than seven years. She has lived in a self-owned house for 4 years.  She owns a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
253,male,'0<=X<200',10,'existing paid','new car',7308,'<100',unemployed,2,none,4,'no known property',70,bank,'for free',1,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is male, checking_status is '0<=X<200', duration is 10, credit_history is 'existing paid', purpose is 'new car', credit_amount is 7308, savings_status is '<100', employment is unemployed, installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 70, other_payment_plans is bank, housing is 'for free', existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 10
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 7308
 - savings_status : '<100'
 - employment : unemployed
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 70
 - other_payment_plans : bank
 - housing : 'for free'
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 10. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 7308. The savings_status is '<100'. The employment is unemployed. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 70. The other_payment_plans is bank. The housing is 'for free'. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>10</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>7308</td>
      <td>'&lt;100'</td>
      <td>unemployed</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>70</td>
      <td>bank</td>
      <td>'for free'</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 10 & 'existing paid' & 'new car' & 7308 & '<100' & unemployed & 2 & none & 4 & 'no known property' & 70 & bank & 'for free' & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 70, 'checking_status': ""'0<=X<200'"", 'credit_amount': 7308, 'credit_history': ""'existing paid'"", 'duration': 10, 'employment': 'unemployed', 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 2, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 70-year-old male German Foreigner is applying for a loan of 7308 credits for 10 months for new car purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has other installment plans with a bank and 1 credits at this bank. He is unemployed and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a free accommodation for 4 years.  He owns no known property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
254,male,'>=200',24,'existing paid',furniture/equipment,1925,'<100','1<=X<4',2,none,2,'real estate',26,none,own,1,skilled,1,none,yes,good,"gender is male, checking_status is '>=200', duration is 24, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 1925, savings_status is '<100', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 26, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '>=200'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 1925
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 26
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '>=200'. The duration is 24. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 1925. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 26. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&gt;=200'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>1925</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>26</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '>=200' & 24 & 'existing paid' & furniture/equipment & 1925 & '<100' & '1<=X<4' & 2 & none & 2 & 'real estate' & 26 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 26, 'checking_status': ""'>=200'"", 'credit_amount': 1925, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'furniture/equipment', 'residence_since': 2, 'savings_status': ""'<100'""}",A 26-year-old male German Foreigner is applying for a loan of 1925 credits for 24 months for furniture or equipment purposes. He has a checking account with 200 Deutsche Mark or more and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 2 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
255,female,'0<=X<200',24,'existing paid','new car',1355,'<100','<1',3,none,4,car,25,none,own,1,'unskilled resident',1,yes,yes,bad,"gender is female, checking_status is '0<=X<200', duration is 24, credit_history is 'existing paid', purpose is 'new car', credit_amount is 1355, savings_status is '<100', employment is '<1', installment_commitment is 3, other_parties is none, residence_since is 4, property_magnitude is car, age is 25, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 1355
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 25
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 24. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 1355. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 3. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 25. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>1355</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>3</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>25</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 24 & 'existing paid' & 'new car' & 1355 & '<100' & '<1' & 3 & none & 4 & car & 25 & none & own & 1 & 'unskilled resident' & 1 & yes & yes \\
\end{tabular}
","{'age': 25, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1355, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 3, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 25-year-old female German Foreigner is applying for a loan of 1355 credits for 24 months for new car purposes. She has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. She has no other installment plans and 1 credits at this bank. She is employed for less than one years and is recognized as an unskilled resident individual. She has lived in a self-owned house for 4 years.  She owns a car. She owns a telephone and has 1 person that she is liable to provide maintenance for.
256,female,'<0',12,'existing paid',education,795,'<100','<1',4,none,4,'life insurance',53,none,own,1,skilled,1,none,yes,bad,"gender is female, checking_status is '<0', duration is 12, credit_history is 'existing paid', purpose is education, credit_amount is 795, savings_status is '<100', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 53, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : education
 - credit_amount : 795
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 53
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 12. The credit_history is 'existing paid'. The purpose is education. The credit_amount is 795. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 53. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>education</td>
      <td>795</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>53</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 12 & 'existing paid' & education & 795 & '<100' & '<1' & 4 & none & 4 & 'life insurance' & 53 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 53, 'checking_status': ""'<0'"", 'credit_amount': 795, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'education', 'residence_since': 4, 'savings_status': ""'<100'""}",A 53-year-old female German Foreigner is applying for a loan of 795 credits for 12 months for education purposes. She has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for less than one years. She has lived in a self-owned house for 4 years.  She owns life insurance property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
257,male,'>=200',30,'critical/other existing credit',radio/tv,3017,'<100','>=7',4,none,4,'life insurance',47,none,own,1,skilled,1,none,yes,good,"gender is male, checking_status is '>=200', duration is 30, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 3017, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 47, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '>=200'
 - duration : 30
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 3017
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 47
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '>=200'. The duration is 30. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 3017. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 47. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&gt;=200'</td>
      <td>30</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>3017</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>47</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '>=200' & 30 & 'critical/other existing credit' & radio/tv & 3017 & '<100' & '>=7' & 4 & none & 4 & 'life insurance' & 47 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 47, 'checking_status': ""'>=200'"", 'credit_amount': 3017, 'credit_history': ""'critical/other existing credit'"", 'duration': 30, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'<100'""}",A 47-year-old male German Foreigner is applying for a loan of 3017 credits for 30 months for radio or tv purposes. He has a checking account with 200 Deutsche Mark or more and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 4 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
258,female,'<0',48,'all paid',business,7685,'<100','4<=X<7',2,guarantor,4,car,37,none,rent,1,skilled,1,none,yes,bad,"gender is female, checking_status is '<0', duration is 48, credit_history is 'all paid', purpose is business, credit_amount is 7685, savings_status is '<100', employment is '4<=X<7', installment_commitment is 2, other_parties is guarantor, residence_since is 4, property_magnitude is car, age is 37, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 48
 - credit_history : 'all paid'
 - purpose : business
 - credit_amount : 7685
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 2
 - other_parties : guarantor
 - residence_since : 4
 - property_magnitude : car
 - age : 37
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 48. The credit_history is 'all paid'. The purpose is business. The credit_amount is 7685. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 2. The other_parties is guarantor. The residence_since is 4. The property_magnitude is car. The age is 37. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>48</td>
      <td>'all paid'</td>
      <td>business</td>
      <td>7685</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>2</td>
      <td>guarantor</td>
      <td>4</td>
      <td>car</td>
      <td>37</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 48 & 'all paid' & business & 7685 & '<100' & '4<=X<7' & 2 & guarantor & 4 & car & 37 & none & rent & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 37, 'checking_status': ""'<0'"", 'credit_amount': 7685, 'credit_history': ""'all paid'"", 'duration': 48, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'guarantor', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'business', 'residence_since': 4, 'savings_status': ""'<100'""}",A 37-year-old female German Foreigner is applying for a loan of 7685 credits for 48 months for business purposes. She has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back all credits at this bank. There is a guarantor associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has no other installment plans and 1 credits at this bank. She is employed for more than four years but less than seven years. She has lived in a rented apartment for 4 years.  She owns a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
259,male,'no checking',12,'critical/other existing credit',business,2292,'<100',unemployed,4,none,2,car,42,stores,own,2,'high qualif/self emp/mgmt',1,yes,yes,bad,"gender is male, checking_status is 'no checking', duration is 12, credit_history is 'critical/other existing credit', purpose is business, credit_amount is 2292, savings_status is '<100', employment is unemployed, installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is car, age is 42, other_payment_plans is stores, housing is own, existing_credits is 2, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'critical/other existing credit'
 - purpose : business
 - credit_amount : 2292
 - savings_status : '<100'
 - employment : unemployed
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 42
 - other_payment_plans : stores
 - housing : own
 - existing_credits : 2
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 12. The credit_history is 'critical/other existing credit'. The purpose is business. The credit_amount is 2292. The savings_status is '<100'. The employment is unemployed. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 42. The other_payment_plans is stores. The housing is own. The existing_credits is 2. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>12</td>
      <td>'critical/other existing credit'</td>
      <td>business</td>
      <td>2292</td>
      <td>'&lt;100'</td>
      <td>unemployed</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>42</td>
      <td>stores</td>
      <td>own</td>
      <td>2</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 12 & 'critical/other existing credit' & business & 2292 & '<100' & unemployed & 4 & none & 2 & car & 42 & stores & own & 2 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 42, 'checking_status': ""'no checking'"", 'credit_amount': 2292, 'credit_history': ""'critical/other existing credit'"", 'duration': 12, 'employment': 'unemployed', 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'stores', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'business', 'residence_since': 2, 'savings_status': ""'<100'""}",A 42-year-old male German Foreigner is applying for a loan of 2292 credits for 12 months for business purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a store and 2 credits at this bank. He is unemployed and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 2 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
260,male,'<0',36,'existing paid',education,1977,'no known savings','>=7',4,none,4,'no known property',40,none,own,1,'high qualif/self emp/mgmt',1,yes,yes,bad,"gender is male, checking_status is '<0', duration is 36, credit_history is 'existing paid', purpose is education, credit_amount is 1977, savings_status is 'no known savings', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 40, other_payment_plans is none, housing is own, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 36
 - credit_history : 'existing paid'
 - purpose : education
 - credit_amount : 1977
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 40
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 36. The credit_history is 'existing paid'. The purpose is education. The credit_amount is 1977. The savings_status is 'no known savings'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 40. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>36</td>
      <td>'existing paid'</td>
      <td>education</td>
      <td>1977</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>40</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 36 & 'existing paid' & education & 1977 & 'no known savings' & '>=7' & 4 & none & 4 & 'no known property' & 40 & none & own & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 40, 'checking_status': ""'<0'"", 'credit_amount': 1977, 'credit_history': ""'existing paid'"", 'duration': 36, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': 'education', 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 40-year-old male German Foreigner is applying for a loan of 1977 credits for 36 months for education purposes. He has a checking account with 0 Deutsche Mark and no known savings. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 4 years.  He owns no known property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
261,female,'no checking',36,'critical/other existing credit','new car',7855,'<100','1<=X<4',4,none,2,'real estate',25,stores,own,2,skilled,1,yes,yes,bad,"gender is female, checking_status is 'no checking', duration is 36, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 7855, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 25, other_payment_plans is stores, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 36
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 7855
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 25
 - other_payment_plans : stores
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 36. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 7855. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 25. The other_payment_plans is stores. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>36</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>7855</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>25</td>
      <td>stores</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 36 & 'critical/other existing credit' & 'new car' & 7855 & '<100' & '1<=X<4' & 4 & none & 2 & 'real estate' & 25 & stores & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 25, 'checking_status': ""'no checking'"", 'credit_amount': 7855, 'credit_history': ""'critical/other existing credit'"", 'duration': 36, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'stores', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'<100'""}",A 25-year-old female German Foreigner is applying for a loan of 7855 credits for 36 months for new car purposes. She has no checking account and a savings acccount with less than 100 Deutsche Mark. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has other installment plans with a store and 2 credits at this bank. She is employed for more than one year but less than four years. She has lived in a self-owned house for 2 years.  She owns some real estate property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
262,male,'no checking',18,'critical/other existing credit','new car',2775,'<100','4<=X<7',2,none,2,'life insurance',31,bank,own,2,skilled,1,none,yes,bad,"gender is male, checking_status is 'no checking', duration is 18, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 2775, savings_status is '<100', employment is '4<=X<7', installment_commitment is 2, other_parties is none, residence_since is 2, property_magnitude is 'life insurance', age is 31, other_payment_plans is bank, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 18
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 2775
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 31
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 18. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 2775. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 2. The other_parties is none. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 31. The other_payment_plans is bank. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>18</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>2775</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>2</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>31</td>
      <td>bank</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 18 & 'critical/other existing credit' & 'new car' & 2775 & '<100' & '4<=X<7' & 2 & none & 2 & 'life insurance' & 31 & bank & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 31, 'checking_status': ""'no checking'"", 'credit_amount': 2775, 'credit_history': ""'critical/other existing credit'"", 'duration': 18, 'employment': ""'4<=X<7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'<100'""}",A 31-year-old male German Foreigner is applying for a loan of 2775 credits for 18 months for new car purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has other installment plans with a bank and 2 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 2 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
263,male,'0<=X<200',21,'delayed previously','new car',2353,'<100','1<=X<4',1,none,4,'life insurance',47,none,own,2,skilled,1,none,yes,good,"gender is male, checking_status is '0<=X<200', duration is 21, credit_history is 'delayed previously', purpose is 'new car', credit_amount is 2353, savings_status is '<100', employment is '1<=X<4', installment_commitment is 1, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 47, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 21
 - credit_history : 'delayed previously'
 - purpose : 'new car'
 - credit_amount : 2353
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 47
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 21. The credit_history is 'delayed previously'. The purpose is 'new car'. The credit_amount is 2353. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 1. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 47. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>21</td>
      <td>'delayed previously'</td>
      <td>'new car'</td>
      <td>2353</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>1</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>47</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 21 & 'delayed previously' & 'new car' & 2353 & '<100' & '1<=X<4' & 1 & none & 4 & 'life insurance' & 47 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 47, 'checking_status': ""'0<=X<200'"", 'credit_amount': 2353, 'credit_history': ""'delayed previously'"", 'duration': 21, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 47-year-old male German Foreigner is applying for a loan of 2353 credits for 21 months for new car purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 2 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 4 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
264,male,'no checking',18,'existing paid','new car',1820,'<100','1<=X<4',2,none,2,'life insurance',30,none,own,1,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 18, credit_history is 'existing paid', purpose is 'new car', credit_amount is 1820, savings_status is '<100', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 2, property_magnitude is 'life insurance', age is 30, other_payment_plans is none, housing is own, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 1820
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 30
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 18. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 1820. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 30. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>18</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>1820</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>30</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 18 & 'existing paid' & 'new car' & 1820 & '<100' & '1<=X<4' & 2 & none & 2 & 'life insurance' & 30 & none & own & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 30, 'checking_status': ""'no checking'"", 'credit_amount': 1820, 'credit_history': ""'existing paid'"", 'duration': 18, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'<100'""}",A 30-year-old male German Foreigner is applying for a loan of 1820 credits for 18 months for new car purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 2 years.  He owns life insurance property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
265,male,'no checking',12,'existing paid','used car',2445,'no known savings','<1',2,none,4,car,26,none,rent,1,skilled,1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 12, credit_history is 'existing paid', purpose is 'used car', credit_amount is 2445, savings_status is 'no known savings', employment is '<1', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is car, age is 26, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : 'used car'
 - credit_amount : 2445
 - savings_status : 'no known savings'
 - employment : '<1'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 26
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 12. The credit_history is 'existing paid'. The purpose is 'used car'. The credit_amount is 2445. The savings_status is 'no known savings'. The employment is '<1'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 26. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>'used car'</td>
      <td>2445</td>
      <td>'no known savings'</td>
      <td>'&lt;1'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>26</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 12 & 'existing paid' & 'used car' & 2445 & 'no known savings' & '<1' & 2 & none & 4 & car & 26 & none & rent & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 26, 'checking_status': ""'no checking'"", 'credit_amount': 2445, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 26-year-old male German Foreigner is applying for a loan of 2445 credits for 12 months for used car purposes. He has no checking account and no known savings. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for less than one years. He has lived in a rented apartment for 4 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
266,male,'<0',12,'existing paid',radio/tv,1680,'500<=X<1000','>=7',3,none,1,'real estate',35,none,own,1,skilled,1,none,yes,good,"gender is male, checking_status is '<0', duration is 12, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1680, savings_status is '500<=X<1000', employment is '>=7', installment_commitment is 3, other_parties is none, residence_since is 1, property_magnitude is 'real estate', age is 35, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1680
 - savings_status : '500<=X<1000'
 - employment : '>=7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'real estate'
 - age : 35
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 12. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1680. The savings_status is '500<=X<1000'. The employment is '>=7'. The installment_commitment is 3. The other_parties is none. The residence_since is 1. The property_magnitude is 'real estate'. The age is 35. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1680</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>'&gt;=7'</td>
      <td>3</td>
      <td>none</td>
      <td>1</td>
      <td>'real estate'</td>
      <td>35</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 12 & 'existing paid' & radio/tv & 1680 & '500<=X<1000' & '>=7' & 3 & none & 1 & 'real estate' & 35 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 35, 'checking_status': ""'<0'"", 'credit_amount': 1680, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 1, 'savings_status': ""'500<=X<1000'""}",A 35-year-old male German Foreigner is applying for a loan of 1680 credits for 12 months for radio or tv purposes. He has a checking account with 0 Deutsche Mark and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 1 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
267,female,'<0',18,'delayed previously',education,8471,'no known savings','1<=X<4',1,none,2,car,23,none,rent,2,skilled,1,yes,yes,good,"gender is female, checking_status is '<0', duration is 18, credit_history is 'delayed previously', purpose is education, credit_amount is 8471, savings_status is 'no known savings', employment is '1<=X<4', installment_commitment is 1, other_parties is none, residence_since is 2, property_magnitude is car, age is 23, other_payment_plans is none, housing is rent, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 18
 - credit_history : 'delayed previously'
 - purpose : education
 - credit_amount : 8471
 - savings_status : 'no known savings'
 - employment : '1<=X<4'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 23
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 18. The credit_history is 'delayed previously'. The purpose is education. The credit_amount is 8471. The savings_status is 'no known savings'. The employment is '1<=X<4'. The installment_commitment is 1. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 23. The other_payment_plans is none. The housing is rent. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>18</td>
      <td>'delayed previously'</td>
      <td>education</td>
      <td>8471</td>
      <td>'no known savings'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>1</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>23</td>
      <td>none</td>
      <td>rent</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 18 & 'delayed previously' & education & 8471 & 'no known savings' & '1<=X<4' & 1 & none & 2 & car & 23 & none & rent & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 23, 'checking_status': ""'<0'"", 'credit_amount': 8471, 'credit_history': ""'delayed previously'"", 'duration': 18, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'education', 'residence_since': 2, 'savings_status': ""'no known savings'""}",A 23-year-old female German Foreigner is applying for a loan of 8471 credits for 18 months for education purposes. She has a checking account with 0 Deutsche Mark and no known savings. She has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. She has no other installment plans and 2 credits at this bank. She is employed for more than one year but less than four years. She has lived in a rented apartment for 2 years.  She owns a car. She owns a telephone and has 1 person that she is liable to provide maintenance for.
268,male,'0<=X<200',26,'existing paid','used car',7966,'<100','<1',2,none,3,car,30,none,own,2,skilled,1,none,yes,good,"gender is male, checking_status is '0<=X<200', duration is 26, credit_history is 'existing paid', purpose is 'used car', credit_amount is 7966, savings_status is '<100', employment is '<1', installment_commitment is 2, other_parties is none, residence_since is 3, property_magnitude is car, age is 30, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 26
 - credit_history : 'existing paid'
 - purpose : 'used car'
 - credit_amount : 7966
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 3
 - property_magnitude : car
 - age : 30
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 26. The credit_history is 'existing paid'. The purpose is 'used car'. The credit_amount is 7966. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 2. The other_parties is none. The residence_since is 3. The property_magnitude is car. The age is 30. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>26</td>
      <td>'existing paid'</td>
      <td>'used car'</td>
      <td>7966</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>2</td>
      <td>none</td>
      <td>3</td>
      <td>car</td>
      <td>30</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 26 & 'existing paid' & 'used car' & 7966 & '<100' & '<1' & 2 & none & 3 & car & 30 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 30, 'checking_status': ""'0<=X<200'"", 'credit_amount': 7966, 'credit_history': ""'existing paid'"", 'duration': 26, 'employment': ""'<1'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': ""'used car'"", 'residence_since': 3, 'savings_status': ""'<100'""}",A 30-year-old male German Foreigner is applying for a loan of 7966 credits for 26 months for used car purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 2 credits at this bank. He is employed for less than one years. He has lived in a self-owned house for 3 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
269,male,'<0',12,'existing paid','used car',3386,'<100','>=7',3,none,4,'no known property',35,none,'for free',1,skilled,1,yes,yes,bad,"gender is male, checking_status is '<0', duration is 12, credit_history is 'existing paid', purpose is 'used car', credit_amount is 3386, savings_status is '<100', employment is '>=7', installment_commitment is 3, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 35, other_payment_plans is none, housing is 'for free', existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : 'used car'
 - credit_amount : 3386
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 35
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 12. The credit_history is 'existing paid'. The purpose is 'used car'. The credit_amount is 3386. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 3. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 35. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>'used car'</td>
      <td>3386</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>3</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>35</td>
      <td>none</td>
      <td>'for free'</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 12 & 'existing paid' & 'used car' & 3386 & '<100' & '>=7' & 3 & none & 4 & 'no known property' & 35 & none & 'for free' & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 35, 'checking_status': ""'<0'"", 'credit_amount': 3386, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 35-year-old male German Foreigner is applying for a loan of 3386 credits for 12 months for used car purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years. He has lived in a free accommodation for 4 years.  He owns no known property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
270,male,'>=200',12,'critical/other existing credit','new car',939,'500<=X<1000','4<=X<7',4,none,2,'real estate',28,none,own,3,skilled,1,yes,yes,bad,"gender is male, checking_status is '>=200', duration is 12, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 939, savings_status is '500<=X<1000', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 28, other_payment_plans is none, housing is own, existing_credits is 3, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '>=200'
 - duration : 12
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 939
 - savings_status : '500<=X<1000'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 28
 - other_payment_plans : none
 - housing : own
 - existing_credits : 3
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '>=200'. The duration is 12. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 939. The savings_status is '500<=X<1000'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 28. The other_payment_plans is none. The housing is own. The existing_credits is 3. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&gt;=200'</td>
      <td>12</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>939</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>28</td>
      <td>none</td>
      <td>own</td>
      <td>3</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '>=200' & 12 & 'critical/other existing credit' & 'new car' & 939 & '500<=X<1000' & '4<=X<7' & 4 & none & 2 & 'real estate' & 28 & none & own & 3 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 28, 'checking_status': ""'>=200'"", 'credit_amount': 939, 'credit_history': ""'critical/other existing credit'"", 'duration': 12, 'employment': ""'4<=X<7'"", 'existing_credits': 3, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'500<=X<1000'""}",A 28-year-old male German Foreigner is applying for a loan of 939 credits for 12 months for new car purposes. He has a checking account with 200 Deutsche Mark or more and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 3 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 2 years.  He owns some real estate property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
271,female,'no checking',12,'critical/other existing credit',radio/tv,797,'no known savings','>=7',4,none,3,'life insurance',33,bank,own,1,'unskilled resident',2,none,yes,bad,"gender is female, checking_status is 'no checking', duration is 12, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 797, savings_status is 'no known savings', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 3, property_magnitude is 'life insurance', age is 33, other_payment_plans is bank, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 797
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'life insurance'
 - age : 33
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 12. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 797. The savings_status is 'no known savings'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 3. The property_magnitude is 'life insurance'. The age is 33. The other_payment_plans is bank. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>12</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>797</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>'life insurance'</td>
      <td>33</td>
      <td>bank</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 12 & 'critical/other existing credit' & radio/tv & 797 & 'no known savings' & '>=7' & 4 & none & 3 & 'life insurance' & 33 & bank & own & 1 & 'unskilled resident' & 2 & none & yes \\
\end{tabular}
","{'age': 33, 'checking_status': ""'no checking'"", 'credit_amount': 797, 'credit_history': ""'critical/other existing credit'"", 'duration': 12, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'radio/tv', 'residence_since': 3, 'savings_status': ""'no known savings'""}",A 33-year-old female German Foreigner is applying for a loan of 797 credits for 12 months for radio or tv purposes. She has no checking account and no known savings. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has other installment plans with a bank and 1 credits at this bank. She is employed for more than seven years and is recognized as an unskilled resident individual. She has lived in a self-owned house for 3 years.  She owns life insurance property. She does not own a telephone and has 2 people that she is liable to provide maintenance for.
272,male,'<0',24,'existing paid',furniture/equipment,1747,'<100','<1',4,'co applicant',1,'life insurance',24,none,own,1,'unskilled resident',1,none,no,good,"gender is male, checking_status is '<0', duration is 24, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 1747, savings_status is '<100', employment is '<1', installment_commitment is 4, other_parties is 'co applicant', residence_since is 1, property_magnitude is 'life insurance', age is 24, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is no","- gender : male
 - checking_status : '<0'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 1747
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : 'co applicant'
 - residence_since : 1
 - property_magnitude : 'life insurance'
 - age : 24
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : no",The gender is male. The checking_status is '<0'. The duration is 24. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 1747. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 4. The other_parties is 'co applicant'. The residence_since is 1. The property_magnitude is 'life insurance'. The age is 24. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is no,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>1747</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>'co applicant'</td>
      <td>1</td>
      <td>'life insurance'</td>
      <td>24</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>no</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 24 & 'existing paid' & furniture/equipment & 1747 & '<100' & '<1' & 4 & 'co applicant' & 1 & 'life insurance' & 24 & none & own & 1 & 'unskilled resident' & 1 & none & no \\
\end{tabular}
","{'age': 24, 'checking_status': ""'<0'"", 'credit_amount': 1747, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'no', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': ""'co applicant'"", 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 1, 'savings_status': ""'<100'""}",A 24-year-old male German Citizen is applying for a loan of 1747 credits for 24 months for furniture or equipment purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There co-applicant associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for less than one years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 1 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
273,male,'<0',12,'no credits/all paid',repairs,1108,'<100','4<=X<7',4,none,3,'real estate',28,none,own,2,skilled,1,none,yes,bad,"gender is male, checking_status is '<0', duration is 12, credit_history is 'no credits/all paid', purpose is repairs, credit_amount is 1108, savings_status is '<100', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 3, property_magnitude is 'real estate', age is 28, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 12
 - credit_history : 'no credits/all paid'
 - purpose : repairs
 - credit_amount : 1108
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'real estate'
 - age : 28
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 12. The credit_history is 'no credits/all paid'. The purpose is repairs. The credit_amount is 1108. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is none. The residence_since is 3. The property_magnitude is 'real estate'. The age is 28. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>12</td>
      <td>'no credits/all paid'</td>
      <td>repairs</td>
      <td>1108</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>'real estate'</td>
      <td>28</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 12 & 'no credits/all paid' & repairs & 1108 & '<100' & '4<=X<7' & 4 & none & 3 & 'real estate' & 28 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 28, 'checking_status': ""'<0'"", 'credit_amount': 1108, 'credit_history': ""'no credits/all paid'"", 'duration': 12, 'employment': ""'4<=X<7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'repairs', 'residence_since': 3, 'savings_status': ""'<100'""}",A 28-year-old male German Foreigner is applying for a loan of 1108 credits for 12 months for repairs purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He did not take any credits at this bank or has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 3 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
274,female,'0<=X<200',13,'existing paid',radio/tv,2101,'<100','<1',2,guarantor,4,'life insurance',23,none,own,1,'unskilled resident',1,none,yes,good,"gender is female, checking_status is '0<=X<200', duration is 13, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 2101, savings_status is '<100', employment is '<1', installment_commitment is 2, other_parties is guarantor, residence_since is 4, property_magnitude is 'life insurance', age is 23, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 13
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 2101
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 2
 - other_parties : guarantor
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 23
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 13. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 2101. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 2. The other_parties is guarantor. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 23. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>13</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>2101</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>2</td>
      <td>guarantor</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>23</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 13 & 'existing paid' & radio/tv & 2101 & '<100' & '<1' & 2 & guarantor & 4 & 'life insurance' & 23 & none & own & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 23, 'checking_status': ""'0<=X<200'"", 'credit_amount': 2101, 'credit_history': ""'existing paid'"", 'duration': 13, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 2, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'guarantor', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'<100'""}",A 23-year-old female German Foreigner is applying for a loan of 2101 credits for 13 months for radio or tv purposes. She has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There is a guarantor associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has no other installment plans and 1 credits at this bank. She is employed for less than one years and is recognized as an unskilled resident individual. She has lived in a self-owned house for 4 years.  She owns life insurance property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
275,male,'<0',24,'existing paid','used car',6579,'<100',unemployed,4,none,2,'no known property',29,none,'for free',1,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is male, checking_status is '<0', duration is 24, credit_history is 'existing paid', purpose is 'used car', credit_amount is 6579, savings_status is '<100', employment is unemployed, installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is 'no known property', age is 29, other_payment_plans is none, housing is 'for free', existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : 'used car'
 - credit_amount : 6579
 - savings_status : '<100'
 - employment : unemployed
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'no known property'
 - age : 29
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 24. The credit_history is 'existing paid'. The purpose is 'used car'. The credit_amount is 6579. The savings_status is '<100'. The employment is unemployed. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is 'no known property'. The age is 29. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>'used car'</td>
      <td>6579</td>
      <td>'&lt;100'</td>
      <td>unemployed</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'no known property'</td>
      <td>29</td>
      <td>none</td>
      <td>'for free'</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 24 & 'existing paid' & 'used car' & 6579 & '<100' & unemployed & 4 & none & 2 & 'no known property' & 29 & none & 'for free' & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 29, 'checking_status': ""'<0'"", 'credit_amount': 6579, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': 'unemployed', 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': ""'used car'"", 'residence_since': 2, 'savings_status': ""'<100'""}",A 29-year-old male German Foreigner is applying for a loan of 6579 credits for 24 months for used car purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is unemployed and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a free accommodation for 2 years.  He owns no known property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
276,male,'no checking',48,'delayed previously',radio/tv,12749,'500<=X<1000','4<=X<7',4,none,1,car,37,none,own,1,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 48, credit_history is 'delayed previously', purpose is radio/tv, credit_amount is 12749, savings_status is '500<=X<1000', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 1, property_magnitude is car, age is 37, other_payment_plans is none, housing is own, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 48
 - credit_history : 'delayed previously'
 - purpose : radio/tv
 - credit_amount : 12749
 - savings_status : '500<=X<1000'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 1
 - property_magnitude : car
 - age : 37
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 48. The credit_history is 'delayed previously'. The purpose is radio/tv. The credit_amount is 12749. The savings_status is '500<=X<1000'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is none. The residence_since is 1. The property_magnitude is car. The age is 37. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>48</td>
      <td>'delayed previously'</td>
      <td>radio/tv</td>
      <td>12749</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>1</td>
      <td>car</td>
      <td>37</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 48 & 'delayed previously' & radio/tv & 12749 & '500<=X<1000' & '4<=X<7' & 4 & none & 1 & car & 37 & none & own & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 37, 'checking_status': ""'no checking'"", 'credit_amount': 12749, 'credit_history': ""'delayed previously'"", 'duration': 48, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 1, 'savings_status': ""'500<=X<1000'""}",A 37-year-old male German Foreigner is applying for a loan of 12749 credits for 48 months for radio or tv purposes. He has no checking account and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than four years but less than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 1 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
277,male,'no checking',12,'critical/other existing credit',radio/tv,522,'500<=X<1000','>=7',4,none,4,'life insurance',42,none,own,2,skilled,2,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 12, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 522, savings_status is '500<=X<1000', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 42, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 2, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 522
 - savings_status : '500<=X<1000'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 42
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 2
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 12. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 522. The savings_status is '500<=X<1000'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 42. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 2. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>12</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>522</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>42</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>2</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 12 & 'critical/other existing credit' & radio/tv & 522 & '500<=X<1000' & '>=7' & 4 & none & 4 & 'life insurance' & 42 & none & own & 2 & skilled & 2 & yes & yes \\
\end{tabular}
","{'age': 42, 'checking_status': ""'no checking'"", 'credit_amount': 522, 'credit_history': ""'critical/other existing credit'"", 'duration': 12, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'500<=X<1000'""}",A 42-year-old male German Foreigner is applying for a loan of 522 credits for 12 months for radio or tv purposes. He has no checking account and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 4 years.  He owns life insurance property. He owns a telephone and has 2 people that he is liable to provide maintenance for.
278,male,'<0',24,'all paid',furniture/equipment,2828,'500<=X<1000','1<=X<4',4,none,4,'real estate',22,stores,own,1,skilled,1,yes,yes,good,"gender is male, checking_status is '<0', duration is 24, credit_history is 'all paid', purpose is furniture/equipment, credit_amount is 2828, savings_status is '500<=X<1000', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 22, other_payment_plans is stores, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 24
 - credit_history : 'all paid'
 - purpose : furniture/equipment
 - credit_amount : 2828
 - savings_status : '500<=X<1000'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 22
 - other_payment_plans : stores
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 24. The credit_history is 'all paid'. The purpose is furniture/equipment. The credit_amount is 2828. The savings_status is '500<=X<1000'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 22. The other_payment_plans is stores. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>24</td>
      <td>'all paid'</td>
      <td>furniture/equipment</td>
      <td>2828</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>22</td>
      <td>stores</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 24 & 'all paid' & furniture/equipment & 2828 & '500<=X<1000' & '1<=X<4' & 4 & none & 4 & 'real estate' & 22 & stores & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 22, 'checking_status': ""'<0'"", 'credit_amount': 2828, 'credit_history': ""'all paid'"", 'duration': 24, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'stores', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'500<=X<1000'""}",A 22-year-old male German Foreigner is applying for a loan of 2828 credits for 24 months for furniture or equipment purposes. He has a checking account with 0 Deutsche Mark and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. He has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a store and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 4 years.  He owns some real estate property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
279,female,'0<=X<200',24,'existing paid','new car',2718,'<100','1<=X<4',3,none,4,'life insurance',20,none,rent,1,'unskilled resident',1,yes,yes,bad,"gender is female, checking_status is '0<=X<200', duration is 24, credit_history is 'existing paid', purpose is 'new car', credit_amount is 2718, savings_status is '<100', employment is '1<=X<4', installment_commitment is 3, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 20, other_payment_plans is none, housing is rent, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 2718
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 20
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 24. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 2718. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 3. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 20. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>2718</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>3</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>20</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 24 & 'existing paid' & 'new car' & 2718 & '<100' & '1<=X<4' & 3 & none & 4 & 'life insurance' & 20 & none & rent & 1 & 'unskilled resident' & 1 & yes & yes \\
\end{tabular}
","{'age': 20, 'checking_status': ""'0<=X<200'"", 'credit_amount': 2718, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 3, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 20-year-old female German Foreigner is applying for a loan of 2718 credits for 24 months for new car purposes. She has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. She has no other installment plans and 1 credits at this bank. She is employed for more than one year but less than four years and is recognized as an unskilled resident individual. She has lived in a rented apartment for 4 years.  She owns life insurance property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
280,female,'>=200',10,'existing paid','new car',1240,'100<=X<500','>=7',1,none,4,'no known property',48,none,'for free',1,'unskilled resident',2,none,yes,bad,"gender is female, checking_status is '>=200', duration is 10, credit_history is 'existing paid', purpose is 'new car', credit_amount is 1240, savings_status is '100<=X<500', employment is '>=7', installment_commitment is 1, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 48, other_payment_plans is none, housing is 'for free', existing_credits is 1, job is 'unskilled resident', num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '>=200'
 - duration : 10
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 1240
 - savings_status : '100<=X<500'
 - employment : '>=7'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 48
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '>=200'. The duration is 10. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 1240. The savings_status is '100<=X<500'. The employment is '>=7'. The installment_commitment is 1. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 48. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&gt;=200'</td>
      <td>10</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>1240</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'&gt;=7'</td>
      <td>1</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>48</td>
      <td>none</td>
      <td>'for free'</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '>=200' & 10 & 'existing paid' & 'new car' & 1240 & '100<=X<500' & '>=7' & 1 & none & 4 & 'no known property' & 48 & none & 'for free' & 1 & 'unskilled resident' & 2 & none & yes \\
\end{tabular}
","{'age': 48, 'checking_status': ""'>=200'"", 'credit_amount': 1240, 'credit_history': ""'existing paid'"", 'duration': 10, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': ""'for free'"", 'installment_commitment': 1, 'job': ""'unskilled resident'"", 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'no known property'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'100<=X<500'""}",A 48-year-old female German Foreigner is applying for a loan of 1240 credits for 10 months for new car purposes. She has a checking account with 200 Deutsche Mark or more and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. She has no other installment plans and 1 credits at this bank. She is employed for more than seven years and is recognized as an unskilled resident individual. She has lived in a free accommodation for 4 years.  She owns no known property. She does not own a telephone and has 2 people that she is liable to provide maintenance for.
281,male,'0<=X<200',12,'existing paid','new car',1318,'>=1000','>=7',4,none,4,'real estate',54,none,own,1,skilled,1,yes,yes,good,"gender is male, checking_status is '0<=X<200', duration is 12, credit_history is 'existing paid', purpose is 'new car', credit_amount is 1318, savings_status is '>=1000', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 54, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 1318
 - savings_status : '>=1000'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 54
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 12. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 1318. The savings_status is '>=1000'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 54. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>1318</td>
      <td>'&gt;=1000'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>54</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 12 & 'existing paid' & 'new car' & 1318 & '>=1000' & '>=7' & 4 & none & 4 & 'real estate' & 54 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 54, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1318, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'>=1000'""}",A 54-year-old male German Foreigner is applying for a loan of 1318 credits for 12 months for new car purposes. He has a checking account with less than 200 Deutsche Mark and a savings with 1000 Deutsche Mark or more. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 4 years.  He owns some real estate property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
282,female,'<0',48,'existing paid',business,4308,'<100','<1',3,none,4,'life insurance',24,none,rent,1,skilled,1,none,yes,bad,"gender is female, checking_status is '<0', duration is 48, credit_history is 'existing paid', purpose is business, credit_amount is 4308, savings_status is '<100', employment is '<1', installment_commitment is 3, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 24, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 48
 - credit_history : 'existing paid'
 - purpose : business
 - credit_amount : 4308
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 24
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 48. The credit_history is 'existing paid'. The purpose is business. The credit_amount is 4308. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 3. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 24. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>48</td>
      <td>'existing paid'</td>
      <td>business</td>
      <td>4308</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>3</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>24</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 48 & 'existing paid' & business & 4308 & '<100' & '<1' & 3 & none & 4 & 'life insurance' & 24 & none & rent & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 24, 'checking_status': ""'<0'"", 'credit_amount': 4308, 'credit_history': ""'existing paid'"", 'duration': 48, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'business', 'residence_since': 4, 'savings_status': ""'<100'""}",A 24-year-old female German Foreigner is applying for a loan of 4308 credits for 48 months for business purposes. She has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. She has no other installment plans and 1 credits at this bank. She is employed for less than one years. She has lived in a rented apartment for 4 years.  She owns life insurance property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
283,female,'<0',12,'existing paid',furniture/equipment,2578,'<100',unemployed,3,none,4,'no known property',55,none,'for free',1,'high qualif/self emp/mgmt',1,none,yes,good,"gender is female, checking_status is '<0', duration is 12, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 2578, savings_status is '<100', employment is unemployed, installment_commitment is 3, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 55, other_payment_plans is none, housing is 'for free', existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 2578
 - savings_status : '<100'
 - employment : unemployed
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 55
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 12. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 2578. The savings_status is '<100'. The employment is unemployed. The installment_commitment is 3. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 55. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>2578</td>
      <td>'&lt;100'</td>
      <td>unemployed</td>
      <td>3</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>55</td>
      <td>none</td>
      <td>'for free'</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 12 & 'existing paid' & furniture/equipment & 2578 & '<100' & unemployed & 3 & none & 4 & 'no known property' & 55 & none & 'for free' & 1 & 'high qualif/self emp/mgmt' & 1 & none & yes \\
\end{tabular}
","{'age': 55, 'checking_status': ""'<0'"", 'credit_amount': 2578, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': 'unemployed', 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': ""'for free'"", 'installment_commitment': 3, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'no known property'"", 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'<100'""}",A 55-year-old female German Foreigner is applying for a loan of 2578 credits for 12 months for furniture or equipment purposes. She has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. She has no other installment plans and 1 credits at this bank. She is unemployed and is recognized as a highly qualified employee or is self employed or has managerial position. She has lived in a free accommodation for 4 years.  She owns no known property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
284,male,'no checking',24,'existing paid',radio/tv,1311,'100<=X<500','4<=X<7',4,none,3,'life insurance',26,none,own,1,skilled,1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1311, savings_status is '100<=X<500', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 3, property_magnitude is 'life insurance', age is 26, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1311
 - savings_status : '100<=X<500'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'life insurance'
 - age : 26
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 24. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1311. The savings_status is '100<=X<500'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is none. The residence_since is 3. The property_magnitude is 'life insurance'. The age is 26. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1311</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>'life insurance'</td>
      <td>26</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 24 & 'existing paid' & radio/tv & 1311 & '100<=X<500' & '4<=X<7' & 4 & none & 3 & 'life insurance' & 26 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 26, 'checking_status': ""'no checking'"", 'credit_amount': 1311, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': 'radio/tv', 'residence_since': 3, 'savings_status': ""'100<=X<500'""}",A 26-year-old male German Foreigner is applying for a loan of 1311 credits for 24 months for radio or tv purposes. He has no checking account and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 3 years.  He owns life insurance property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
285,male,'<0',30,'critical/other existing credit','used car',6187,'100<=X<500','4<=X<7',1,none,4,car,24,none,rent,2,skilled,1,none,yes,good,"gender is male, checking_status is '<0', duration is 30, credit_history is 'critical/other existing credit', purpose is 'used car', credit_amount is 6187, savings_status is '100<=X<500', employment is '4<=X<7', installment_commitment is 1, other_parties is none, residence_since is 4, property_magnitude is car, age is 24, other_payment_plans is none, housing is rent, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 30
 - credit_history : 'critical/other existing credit'
 - purpose : 'used car'
 - credit_amount : 6187
 - savings_status : '100<=X<500'
 - employment : '4<=X<7'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 24
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 30. The credit_history is 'critical/other existing credit'. The purpose is 'used car'. The credit_amount is 6187. The savings_status is '100<=X<500'. The employment is '4<=X<7'. The installment_commitment is 1. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 24. The other_payment_plans is none. The housing is rent. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>30</td>
      <td>'critical/other existing credit'</td>
      <td>'used car'</td>
      <td>6187</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>1</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>24</td>
      <td>none</td>
      <td>rent</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 30 & 'critical/other existing credit' & 'used car' & 6187 & '100<=X<500' & '4<=X<7' & 1 & none & 4 & car & 24 & none & rent & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 24, 'checking_status': ""'<0'"", 'credit_amount': 6187, 'credit_history': ""'critical/other existing credit'"", 'duration': 30, 'employment': ""'4<=X<7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'100<=X<500'""}",A 24-year-old male German Foreigner is applying for a loan of 6187 credits for 30 months for used car purposes. He has a checking account with 0 Deutsche Mark and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 2 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a rented apartment for 4 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
286,male,'0<=X<200',18,'delayed previously',repairs,6204,'<100','1<=X<4',2,none,4,'real estate',44,none,own,1,'unskilled resident',2,yes,yes,good,"gender is male, checking_status is '0<=X<200', duration is 18, credit_history is 'delayed previously', purpose is repairs, credit_amount is 6204, savings_status is '<100', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 44, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 2, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 18
 - credit_history : 'delayed previously'
 - purpose : repairs
 - credit_amount : 6204
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 44
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 2
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 18. The credit_history is 'delayed previously'. The purpose is repairs. The credit_amount is 6204. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 44. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 2. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>18</td>
      <td>'delayed previously'</td>
      <td>repairs</td>
      <td>6204</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>44</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>2</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 18 & 'delayed previously' & repairs & 6204 & '<100' & '1<=X<4' & 2 & none & 4 & 'real estate' & 44 & none & own & 1 & 'unskilled resident' & 2 & yes & yes \\
\end{tabular}
","{'age': 44, 'checking_status': ""'0<=X<200'"", 'credit_amount': 6204, 'credit_history': ""'delayed previously'"", 'duration': 18, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': ""'unskilled resident'"", 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': 'repairs', 'residence_since': 4, 'savings_status': ""'<100'""}",A 44-year-old male German Foreigner is applying for a loan of 6204 credits for 18 months for repairs purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 4 years.  He owns some real estate property. He owns a telephone and has 2 people that he is liable to provide maintenance for.
287,male,'0<=X<200',6,'existing paid',radio/tv,1068,'<100','>=7',4,none,4,car,28,none,own,1,skilled,2,none,yes,good,"gender is male, checking_status is '0<=X<200', duration is 6, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1068, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is car, age is 28, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 6
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1068
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 28
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 6. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1068. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 28. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>6</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1068</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>28</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 6 & 'existing paid' & radio/tv & 1068 & '<100' & '>=7' & 4 & none & 4 & car & 28 & none & own & 1 & skilled & 2 & none & yes \\
\end{tabular}
","{'age': 28, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1068, 'credit_history': ""'existing paid'"", 'duration': 6, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'<100'""}",A 28-year-old male German Foreigner is applying for a loan of 1068 credits for 6 months for radio or tv purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 4 years.  He owns a car. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
288,female,'0<=X<200',11,'existing paid',furniture/equipment,1577,'>=1000','<1',4,none,1,'real estate',20,none,own,1,skilled,1,none,yes,good,"gender is female, checking_status is '0<=X<200', duration is 11, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 1577, savings_status is '>=1000', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 1, property_magnitude is 'real estate', age is 20, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 11
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 1577
 - savings_status : '>=1000'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'real estate'
 - age : 20
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 11. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 1577. The savings_status is '>=1000'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 1. The property_magnitude is 'real estate'. The age is 20. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>11</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>1577</td>
      <td>'&gt;=1000'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>1</td>
      <td>'real estate'</td>
      <td>20</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 11 & 'existing paid' & furniture/equipment & 1577 & '>=1000' & '<1' & 4 & none & 1 & 'real estate' & 20 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 20, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1577, 'credit_history': ""'existing paid'"", 'duration': 11, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'furniture/equipment', 'residence_since': 1, 'savings_status': ""'>=1000'""}",A 20-year-old female German Foreigner is applying for a loan of 1577 credits for 11 months for furniture or equipment purposes. She has a checking account with less than 200 Deutsche Mark and a savings with 1000 Deutsche Mark or more. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for less than one years. She has lived in a self-owned house for 1 years.  She owns some real estate property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
289,male,'no checking',24,'critical/other existing credit',furniture/equipment,1585,'<100','4<=X<7',4,none,3,'life insurance',40,none,own,2,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'critical/other existing credit', purpose is furniture/equipment, credit_amount is 1585, savings_status is '<100', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 3, property_magnitude is 'life insurance', age is 40, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'critical/other existing credit'
 - purpose : furniture/equipment
 - credit_amount : 1585
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'life insurance'
 - age : 40
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 24. The credit_history is 'critical/other existing credit'. The purpose is furniture/equipment. The credit_amount is 1585. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is none. The residence_since is 3. The property_magnitude is 'life insurance'. The age is 40. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'critical/other existing credit'</td>
      <td>furniture/equipment</td>
      <td>1585</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>'life insurance'</td>
      <td>40</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 24 & 'critical/other existing credit' & furniture/equipment & 1585 & '<100' & '4<=X<7' & 4 & none & 3 & 'life insurance' & 40 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 40, 'checking_status': ""'no checking'"", 'credit_amount': 1585, 'credit_history': ""'critical/other existing credit'"", 'duration': 24, 'employment': ""'4<=X<7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 3, 'savings_status': ""'<100'""}",A 40-year-old male German Foreigner is applying for a loan of 1585 credits for 24 months for furniture or equipment purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 3 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
290,male,'<0',18,'all paid',radio/tv,1940,'<100','<1',3,'co applicant',4,'no known property',36,bank,'for free',1,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is male, checking_status is '<0', duration is 18, credit_history is 'all paid', purpose is radio/tv, credit_amount is 1940, savings_status is '<100', employment is '<1', installment_commitment is 3, other_parties is 'co applicant', residence_since is 4, property_magnitude is 'no known property', age is 36, other_payment_plans is bank, housing is 'for free', existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 18
 - credit_history : 'all paid'
 - purpose : radio/tv
 - credit_amount : 1940
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 3
 - other_parties : 'co applicant'
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 36
 - other_payment_plans : bank
 - housing : 'for free'
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 18. The credit_history is 'all paid'. The purpose is radio/tv. The credit_amount is 1940. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 3. The other_parties is 'co applicant'. The residence_since is 4. The property_magnitude is 'no known property'. The age is 36. The other_payment_plans is bank. The housing is 'for free'. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>18</td>
      <td>'all paid'</td>
      <td>radio/tv</td>
      <td>1940</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>3</td>
      <td>'co applicant'</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>36</td>
      <td>bank</td>
      <td>'for free'</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 18 & 'all paid' & radio/tv & 1940 & '<100' & '<1' & 3 & 'co applicant' & 4 & 'no known property' & 36 & bank & 'for free' & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 36, 'checking_status': ""'<0'"", 'credit_amount': 1940, 'credit_history': ""'all paid'"", 'duration': 18, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 3, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': ""'co applicant'"", 'other_payment_plans': 'bank', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'<100'""}",A 36-year-old male German Foreigner is applying for a loan of 1940 credits for 18 months for radio or tv purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back all credits at this bank. There co-applicant associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has other installment plans with a bank and 1 credits at this bank. He is employed for less than one years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a free accommodation for 4 years.  He owns no known property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
291,male,'0<=X<200',24,'no credits/all paid',business,4241,'<100','1<=X<4',1,none,4,'real estate',36,none,own,3,'unskilled resident',1,yes,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 24, credit_history is 'no credits/all paid', purpose is business, credit_amount is 4241, savings_status is '<100', employment is '1<=X<4', installment_commitment is 1, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 36, other_payment_plans is none, housing is own, existing_credits is 3, job is 'unskilled resident', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 24
 - credit_history : 'no credits/all paid'
 - purpose : business
 - credit_amount : 4241
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 36
 - other_payment_plans : none
 - housing : own
 - existing_credits : 3
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 24. The credit_history is 'no credits/all paid'. The purpose is business. The credit_amount is 4241. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 1. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 36. The other_payment_plans is none. The housing is own. The existing_credits is 3. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>24</td>
      <td>'no credits/all paid'</td>
      <td>business</td>
      <td>4241</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>1</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>36</td>
      <td>none</td>
      <td>own</td>
      <td>3</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 24 & 'no credits/all paid' & business & 4241 & '<100' & '1<=X<4' & 1 & none & 4 & 'real estate' & 36 & none & own & 3 & 'unskilled resident' & 1 & yes & yes \\
\end{tabular}
","{'age': 36, 'checking_status': ""'0<=X<200'"", 'credit_amount': 4241, 'credit_history': ""'no credits/all paid'"", 'duration': 24, 'employment': ""'1<=X<4'"", 'existing_credits': 3, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 1, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': 'business', 'residence_since': 4, 'savings_status': ""'<100'""}",A 36-year-old male German Foreigner is applying for a loan of 4241 credits for 24 months for business purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He did not take any credits at this bank or has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 3 credits at this bank. He is employed for more than one year but less than four years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 4 years.  He owns some real estate property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
292,male,'>=200',6,'critical/other existing credit','new car',1299,'<100','1<=X<4',1,none,1,'real estate',74,none,own,3,'unemp/unskilled non res',2,none,no,good,"gender is male, checking_status is '>=200', duration is 6, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 1299, savings_status is '<100', employment is '1<=X<4', installment_commitment is 1, other_parties is none, residence_since is 1, property_magnitude is 'real estate', age is 74, other_payment_plans is none, housing is own, existing_credits is 3, job is 'unemp/unskilled non res', num_dependents is 2, own_telephone is none, foreign_worker is no","- gender : male
 - checking_status : '>=200'
 - duration : 6
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 1299
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'real estate'
 - age : 74
 - other_payment_plans : none
 - housing : own
 - existing_credits : 3
 - job : 'unemp/unskilled non res'
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : no",The gender is male. The checking_status is '>=200'. The duration is 6. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 1299. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 1. The other_parties is none. The residence_since is 1. The property_magnitude is 'real estate'. The age is 74. The other_payment_plans is none. The housing is own. The existing_credits is 3. The job is 'unemp/unskilled non res'. The num_dependents is 2. The own_telephone is none. The foreign_worker is no,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&gt;=200'</td>
      <td>6</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>1299</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>1</td>
      <td>none</td>
      <td>1</td>
      <td>'real estate'</td>
      <td>74</td>
      <td>none</td>
      <td>own</td>
      <td>3</td>
      <td>'unemp/unskilled non res'</td>
      <td>2</td>
      <td>none</td>
      <td>no</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '>=200' & 6 & 'critical/other existing credit' & 'new car' & 1299 & '<100' & '1<=X<4' & 1 & none & 1 & 'real estate' & 74 & none & own & 3 & 'unemp/unskilled non res' & 2 & none & no \\
\end{tabular}
","{'age': 74, 'checking_status': ""'>=200'"", 'credit_amount': 1299, 'credit_history': ""'critical/other existing credit'"", 'duration': 6, 'employment': ""'1<=X<4'"", 'existing_credits': 3, 'foreign_worker': 'no', 'gender': 'male', 'housing': 'own', 'installment_commitment': 1, 'job': ""'unemp/unskilled non res'"", 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 1, 'savings_status': ""'<100'""}",A 74-year-old male German Citizen is applying for a loan of 1299 credits for 6 months for new car purposes. He has a checking account with 200 Deutsche Mark or more and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 3 credits at this bank. He is employed for more than one year but less than four years and is recognized as an unemployed or unskilled non-resident individual. He has lived in a self-owned house for 1 years.  He owns some real estate property. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
293,male,'no checking',24,'existing paid','new car',1469,'100<=X<500','>=7',4,none,4,'real estate',41,none,rent,1,'unskilled resident',1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'existing paid', purpose is 'new car', credit_amount is 1469, savings_status is '100<=X<500', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 41, other_payment_plans is none, housing is rent, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 1469
 - savings_status : '100<=X<500'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 41
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 24. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 1469. The savings_status is '100<=X<500'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 41. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>1469</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>41</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 24 & 'existing paid' & 'new car' & 1469 & '100<=X<500' & '>=7' & 4 & none & 4 & 'real estate' & 41 & none & rent & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 41, 'checking_status': ""'no checking'"", 'credit_amount': 1469, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'100<=X<500'""}",A 41-year-old male German Foreigner is applying for a loan of 1469 credits for 24 months for new car purposes. He has no checking account and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years and is recognized as an unskilled resident individual. He has lived in a rented apartment for 4 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
294,male,'no checking',28,'critical/other existing credit',radio/tv,2743,'<100','>=7',4,none,2,car,29,none,own,2,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 28, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 2743, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is car, age is 29, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 28
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 2743
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 29
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 28. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 2743. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 29. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>28</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>2743</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>29</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 28 & 'critical/other existing credit' & radio/tv & 2743 & '<100' & '>=7' & 4 & none & 2 & car & 29 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 29, 'checking_status': ""'no checking'"", 'credit_amount': 2743, 'credit_history': ""'critical/other existing credit'"", 'duration': 28, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 29-year-old male German Foreigner is applying for a loan of 2743 credits for 28 months for radio or tv purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 2 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
295,male,'no checking',12,'existing paid',radio/tv,1963,'<100','4<=X<7',4,none,2,car,31,none,rent,2,'high qualif/self emp/mgmt',2,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 12, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1963, savings_status is '<100', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is car, age is 31, other_payment_plans is none, housing is rent, existing_credits is 2, job is 'high qualif/self emp/mgmt', num_dependents is 2, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1963
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 31
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 2
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 2
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 12. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1963. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 31. The other_payment_plans is none. The housing is rent. The existing_credits is 2. The job is 'high qualif/self emp/mgmt'. The num_dependents is 2. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1963</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>31</td>
      <td>none</td>
      <td>rent</td>
      <td>2</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>2</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 12 & 'existing paid' & radio/tv & 1963 & '<100' & '4<=X<7' & 4 & none & 2 & car & 31 & none & rent & 2 & 'high qualif/self emp/mgmt' & 2 & yes & yes \\
\end{tabular}
","{'age': 31, 'checking_status': ""'no checking'"", 'credit_amount': 1963, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'4<=X<7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 31-year-old male German Foreigner is applying for a loan of 1963 credits for 12 months for radio or tv purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than four years but less than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a rented apartment for 2 years.  He owns a car. He owns a telephone and has 2 people that he is liable to provide maintenance for.
296,female,'0<=X<200',48,'critical/other existing credit',furniture/equipment,5096,'<100','1<=X<4',2,none,3,car,30,none,own,1,'high qualif/self emp/mgmt',1,yes,yes,bad,"gender is female, checking_status is '0<=X<200', duration is 48, credit_history is 'critical/other existing credit', purpose is furniture/equipment, credit_amount is 5096, savings_status is '<100', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 3, property_magnitude is car, age is 30, other_payment_plans is none, housing is own, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 48
 - credit_history : 'critical/other existing credit'
 - purpose : furniture/equipment
 - credit_amount : 5096
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 3
 - property_magnitude : car
 - age : 30
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 48. The credit_history is 'critical/other existing credit'. The purpose is furniture/equipment. The credit_amount is 5096. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 3. The property_magnitude is car. The age is 30. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>48</td>
      <td>'critical/other existing credit'</td>
      <td>furniture/equipment</td>
      <td>5096</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>3</td>
      <td>car</td>
      <td>30</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 48 & 'critical/other existing credit' & furniture/equipment & 5096 & '<100' & '1<=X<4' & 2 & none & 3 & car & 30 & none & own & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 30, 'checking_status': ""'0<=X<200'"", 'credit_amount': 5096, 'credit_history': ""'critical/other existing credit'"", 'duration': 48, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 2, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'furniture/equipment', 'residence_since': 3, 'savings_status': ""'<100'""}",A 30-year-old female German Foreigner is applying for a loan of 5096 credits for 48 months for furniture or equipment purposes. She has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has no other installment plans and 1 credits at this bank. She is employed for more than one year but less than four years and is recognized as a highly qualified employee or is self employed or has managerial position. She has lived in a self-owned house for 3 years.  She owns a car. She owns a telephone and has 1 person that she is liable to provide maintenance for.
297,male,'<0',12,'existing paid','new car',2579,'<100','<1',4,none,1,'real estate',33,none,own,1,'unskilled resident',2,none,yes,bad,"gender is male, checking_status is '<0', duration is 12, credit_history is 'existing paid', purpose is 'new car', credit_amount is 2579, savings_status is '<100', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 1, property_magnitude is 'real estate', age is 33, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 2579
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'real estate'
 - age : 33
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 12. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 2579. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 1. The property_magnitude is 'real estate'. The age is 33. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>2579</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>1</td>
      <td>'real estate'</td>
      <td>33</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 12 & 'existing paid' & 'new car' & 2579 & '<100' & '<1' & 4 & none & 1 & 'real estate' & 33 & none & own & 1 & 'unskilled resident' & 2 & none & yes \\
\end{tabular}
","{'age': 33, 'checking_status': ""'<0'"", 'credit_amount': 2579, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 1, 'savings_status': ""'<100'""}",A 33-year-old male German Foreigner is applying for a loan of 2579 credits for 12 months for new car purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for less than one years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 1 years.  He owns some real estate property. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
298,female,'no checking',36,'delayed previously',furniture/equipment,7678,'500<=X<1000','4<=X<7',2,none,4,car,40,none,own,2,skilled,1,yes,yes,good,"gender is female, checking_status is 'no checking', duration is 36, credit_history is 'delayed previously', purpose is furniture/equipment, credit_amount is 7678, savings_status is '500<=X<1000', employment is '4<=X<7', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is car, age is 40, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 36
 - credit_history : 'delayed previously'
 - purpose : furniture/equipment
 - credit_amount : 7678
 - savings_status : '500<=X<1000'
 - employment : '4<=X<7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 40
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 36. The credit_history is 'delayed previously'. The purpose is furniture/equipment. The credit_amount is 7678. The savings_status is '500<=X<1000'. The employment is '4<=X<7'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 40. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>36</td>
      <td>'delayed previously'</td>
      <td>furniture/equipment</td>
      <td>7678</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>40</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 36 & 'delayed previously' & furniture/equipment & 7678 & '500<=X<1000' & '4<=X<7' & 2 & none & 4 & car & 40 & none & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 40, 'checking_status': ""'no checking'"", 'credit_amount': 7678, 'credit_history': ""'delayed previously'"", 'duration': 36, 'employment': ""'4<=X<7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'500<=X<1000'""}",A 40-year-old female German Foreigner is applying for a loan of 7678 credits for 36 months for furniture or equipment purposes. She has no checking account and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. She has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has no other installment plans and 2 credits at this bank. She is employed for more than four years but less than seven years. She has lived in a self-owned house for 4 years.  She owns a car. She owns a telephone and has 1 person that she is liable to provide maintenance for.
299,male,'0<=X<200',30,'critical/other existing credit','new car',2181,'no known savings','>=7',4,none,4,'real estate',36,none,own,2,skilled,1,none,yes,good,"gender is male, checking_status is '0<=X<200', duration is 30, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 2181, savings_status is 'no known savings', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 36, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 30
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 2181
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 36
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 30. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 2181. The savings_status is 'no known savings'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 36. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>30</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>2181</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>36</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 30 & 'critical/other existing credit' & 'new car' & 2181 & 'no known savings' & '>=7' & 4 & none & 4 & 'real estate' & 36 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 36, 'checking_status': ""'0<=X<200'"", 'credit_amount': 2181, 'credit_history': ""'critical/other existing credit'"", 'duration': 30, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 36-year-old male German Foreigner is applying for a loan of 2181 credits for 30 months for new car purposes. He has a checking account with less than 200 Deutsche Mark and no known savings. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 4 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
300,female,'no checking',6,'existing paid',education,1538,'<100','<1',1,none,2,'no known property',56,none,own,1,skilled,1,none,yes,good,"gender is female, checking_status is 'no checking', duration is 6, credit_history is 'existing paid', purpose is education, credit_amount is 1538, savings_status is '<100', employment is '<1', installment_commitment is 1, other_parties is none, residence_since is 2, property_magnitude is 'no known property', age is 56, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 6
 - credit_history : 'existing paid'
 - purpose : education
 - credit_amount : 1538
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'no known property'
 - age : 56
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 6. The credit_history is 'existing paid'. The purpose is education. The credit_amount is 1538. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 1. The other_parties is none. The residence_since is 2. The property_magnitude is 'no known property'. The age is 56. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>6</td>
      <td>'existing paid'</td>
      <td>education</td>
      <td>1538</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>1</td>
      <td>none</td>
      <td>2</td>
      <td>'no known property'</td>
      <td>56</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 6 & 'existing paid' & education & 1538 & '<100' & '<1' & 1 & none & 2 & 'no known property' & 56 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 56, 'checking_status': ""'no checking'"", 'credit_amount': 1538, 'credit_history': ""'existing paid'"", 'duration': 6, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'no known property'"", 'purpose': 'education', 'residence_since': 2, 'savings_status': ""'<100'""}",A 56-year-old female German Foreigner is applying for a loan of 1538 credits for 6 months for education purposes. She has no checking account and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. She has no other installment plans and 1 credits at this bank. She is employed for less than one years. She has lived in a self-owned house for 2 years.  She owns no known property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
301,male,'<0',6,'critical/other existing credit',radio/tv,338,'500<=X<1000','>=7',4,none,4,car,52,none,own,2,skilled,1,none,yes,good,"gender is male, checking_status is '<0', duration is 6, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 338, savings_status is '500<=X<1000', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is car, age is 52, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 6
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 338
 - savings_status : '500<=X<1000'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 52
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 6. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 338. The savings_status is '500<=X<1000'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 52. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>6</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>338</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>52</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 6 & 'critical/other existing credit' & radio/tv & 338 & '500<=X<1000' & '>=7' & 4 & none & 4 & car & 52 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 52, 'checking_status': ""'<0'"", 'credit_amount': 338, 'credit_history': ""'critical/other existing credit'"", 'duration': 6, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'500<=X<1000'""}",A 52-year-old male German Foreigner is applying for a loan of 338 credits for 6 months for radio or tv purposes. He has a checking account with 0 Deutsche Mark and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 4 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
302,male,'0<=X<200',39,'delayed previously',education,11760,'100<=X<500','4<=X<7',2,none,3,'no known property',32,none,rent,1,skilled,1,yes,yes,good,"gender is male, checking_status is '0<=X<200', duration is 39, credit_history is 'delayed previously', purpose is education, credit_amount is 11760, savings_status is '100<=X<500', employment is '4<=X<7', installment_commitment is 2, other_parties is none, residence_since is 3, property_magnitude is 'no known property', age is 32, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 39
 - credit_history : 'delayed previously'
 - purpose : education
 - credit_amount : 11760
 - savings_status : '100<=X<500'
 - employment : '4<=X<7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'no known property'
 - age : 32
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 39. The credit_history is 'delayed previously'. The purpose is education. The credit_amount is 11760. The savings_status is '100<=X<500'. The employment is '4<=X<7'. The installment_commitment is 2. The other_parties is none. The residence_since is 3. The property_magnitude is 'no known property'. The age is 32. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>39</td>
      <td>'delayed previously'</td>
      <td>education</td>
      <td>11760</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>2</td>
      <td>none</td>
      <td>3</td>
      <td>'no known property'</td>
      <td>32</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 39 & 'delayed previously' & education & 11760 & '100<=X<500' & '4<=X<7' & 2 & none & 3 & 'no known property' & 32 & none & rent & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 32, 'checking_status': ""'0<=X<200'"", 'credit_amount': 11760, 'credit_history': ""'delayed previously'"", 'duration': 39, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': 'education', 'residence_since': 3, 'savings_status': ""'100<=X<500'""}",A 32-year-old male German Foreigner is applying for a loan of 11760 credits for 39 months for education purposes. He has a checking account with less than 200 Deutsche Mark and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a rented apartment for 3 years.  He owns no known property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
303,female,'0<=X<200',24,'critical/other existing credit',furniture/equipment,4736,'<100','<1',2,none,4,car,25,bank,own,1,'unskilled resident',1,none,yes,bad,"gender is female, checking_status is '0<=X<200', duration is 24, credit_history is 'critical/other existing credit', purpose is furniture/equipment, credit_amount is 4736, savings_status is '<100', employment is '<1', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is car, age is 25, other_payment_plans is bank, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 24
 - credit_history : 'critical/other existing credit'
 - purpose : furniture/equipment
 - credit_amount : 4736
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 25
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 24. The credit_history is 'critical/other existing credit'. The purpose is furniture/equipment. The credit_amount is 4736. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 25. The other_payment_plans is bank. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>24</td>
      <td>'critical/other existing credit'</td>
      <td>furniture/equipment</td>
      <td>4736</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>25</td>
      <td>bank</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 24 & 'critical/other existing credit' & furniture/equipment & 4736 & '<100' & '<1' & 2 & none & 4 & car & 25 & bank & own & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 25, 'checking_status': ""'0<=X<200'"", 'credit_amount': 4736, 'credit_history': ""'critical/other existing credit'"", 'duration': 24, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 2, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'<100'""}",A 25-year-old female German Foreigner is applying for a loan of 4736 credits for 24 months for furniture or equipment purposes. She has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has other installment plans with a bank and 1 credits at this bank. She is employed for less than one years and is recognized as an unskilled resident individual. She has lived in a self-owned house for 4 years.  She owns a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
304,male,'>=200',24,'existing paid',furniture/equipment,2892,'<100','>=7',3,none,4,'no known property',51,none,'for free',1,skilled,1,none,yes,good,"gender is male, checking_status is '>=200', duration is 24, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 2892, savings_status is '<100', employment is '>=7', installment_commitment is 3, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 51, other_payment_plans is none, housing is 'for free', existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '>=200'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 2892
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 51
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '>=200'. The duration is 24. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 2892. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 3. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 51. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&gt;=200'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>2892</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>3</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>51</td>
      <td>none</td>
      <td>'for free'</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '>=200' & 24 & 'existing paid' & furniture/equipment & 2892 & '<100' & '>=7' & 3 & none & 4 & 'no known property' & 51 & none & 'for free' & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 51, 'checking_status': ""'>=200'"", 'credit_amount': 2892, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'no known property'"", 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'<100'""}",A 51-year-old male German Foreigner is applying for a loan of 2892 credits for 24 months for furniture or equipment purposes. He has a checking account with 200 Deutsche Mark or more and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years. He has lived in a free accommodation for 4 years.  He owns no known property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
305,male,'no checking',6,'critical/other existing credit',radio/tv,1740,'<100','>=7',2,none,2,'real estate',30,none,rent,2,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 6, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 1740, savings_status is '<100', employment is '>=7', installment_commitment is 2, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 30, other_payment_plans is none, housing is rent, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 6
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 1740
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 30
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 6. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 1740. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 2. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 30. The other_payment_plans is none. The housing is rent. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>6</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>1740</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>2</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>30</td>
      <td>none</td>
      <td>rent</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 6 & 'critical/other existing credit' & radio/tv & 1740 & '<100' & '>=7' & 2 & none & 2 & 'real estate' & 30 & none & rent & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 30, 'checking_status': ""'no checking'"", 'credit_amount': 1740, 'credit_history': ""'critical/other existing credit'"", 'duration': 6, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 30-year-old male German Foreigner is applying for a loan of 1740 credits for 6 months for radio or tv purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years. He has lived in a rented apartment for 2 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
306,male,'0<=X<200',36,'delayed previously',business,9857,'100<=X<500','4<=X<7',1,none,3,'life insurance',31,none,own,2,'unskilled resident',2,yes,yes,good,"gender is male, checking_status is '0<=X<200', duration is 36, credit_history is 'delayed previously', purpose is business, credit_amount is 9857, savings_status is '100<=X<500', employment is '4<=X<7', installment_commitment is 1, other_parties is none, residence_since is 3, property_magnitude is 'life insurance', age is 31, other_payment_plans is none, housing is own, existing_credits is 2, job is 'unskilled resident', num_dependents is 2, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 36
 - credit_history : 'delayed previously'
 - purpose : business
 - credit_amount : 9857
 - savings_status : '100<=X<500'
 - employment : '4<=X<7'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'life insurance'
 - age : 31
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : 'unskilled resident'
 - num_dependents : 2
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 36. The credit_history is 'delayed previously'. The purpose is business. The credit_amount is 9857. The savings_status is '100<=X<500'. The employment is '4<=X<7'. The installment_commitment is 1. The other_parties is none. The residence_since is 3. The property_magnitude is 'life insurance'. The age is 31. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is 'unskilled resident'. The num_dependents is 2. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>36</td>
      <td>'delayed previously'</td>
      <td>business</td>
      <td>9857</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>1</td>
      <td>none</td>
      <td>3</td>
      <td>'life insurance'</td>
      <td>31</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>'unskilled resident'</td>
      <td>2</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 36 & 'delayed previously' & business & 9857 & '100<=X<500' & '4<=X<7' & 1 & none & 3 & 'life insurance' & 31 & none & own & 2 & 'unskilled resident' & 2 & yes & yes \\
\end{tabular}
","{'age': 31, 'checking_status': ""'0<=X<200'"", 'credit_amount': 9857, 'credit_history': ""'delayed previously'"", 'duration': 36, 'employment': ""'4<=X<7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 1, 'job': ""'unskilled resident'"", 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': 'business', 'residence_since': 3, 'savings_status': ""'100<=X<500'""}",A 31-year-old male German Foreigner is applying for a loan of 9857 credits for 36 months for business purposes. He has a checking account with less than 200 Deutsche Mark and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 2 credits at this bank. He is employed for more than four years but less than seven years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 3 years.  He owns life insurance property. He owns a telephone and has 2 people that he is liable to provide maintenance for.
307,male,'>=200',12,'existing paid','new car',1330,'<100','<1',4,none,1,'real estate',26,none,own,1,skilled,1,none,yes,good,"gender is male, checking_status is '>=200', duration is 12, credit_history is 'existing paid', purpose is 'new car', credit_amount is 1330, savings_status is '<100', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 1, property_magnitude is 'real estate', age is 26, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '>=200'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 1330
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'real estate'
 - age : 26
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '>=200'. The duration is 12. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 1330. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 1. The property_magnitude is 'real estate'. The age is 26. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&gt;=200'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>1330</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>1</td>
      <td>'real estate'</td>
      <td>26</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '>=200' & 12 & 'existing paid' & 'new car' & 1330 & '<100' & '<1' & 4 & none & 1 & 'real estate' & 26 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 26, 'checking_status': ""'>=200'"", 'credit_amount': 1330, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 1, 'savings_status': ""'<100'""}",A 26-year-old male German Foreigner is applying for a loan of 1330 credits for 12 months for new car purposes. He has a checking account with 200 Deutsche Mark or more and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for less than one years. He has lived in a self-owned house for 1 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
308,male,'>=200',30,'critical/other existing credit',radio/tv,3656,'no known savings','>=7',4,none,4,'life insurance',49,stores,own,2,'unskilled resident',1,none,yes,good,"gender is male, checking_status is '>=200', duration is 30, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 3656, savings_status is 'no known savings', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 49, other_payment_plans is stores, housing is own, existing_credits is 2, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '>=200'
 - duration : 30
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 3656
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 49
 - other_payment_plans : stores
 - housing : own
 - existing_credits : 2
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '>=200'. The duration is 30. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 3656. The savings_status is 'no known savings'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 49. The other_payment_plans is stores. The housing is own. The existing_credits is 2. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&gt;=200'</td>
      <td>30</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>3656</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>49</td>
      <td>stores</td>
      <td>own</td>
      <td>2</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '>=200' & 30 & 'critical/other existing credit' & radio/tv & 3656 & 'no known savings' & '>=7' & 4 & none & 4 & 'life insurance' & 49 & stores & own & 2 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 49, 'checking_status': ""'>=200'"", 'credit_amount': 3656, 'credit_history': ""'critical/other existing credit'"", 'duration': 30, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'stores', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 49-year-old male German Foreigner is applying for a loan of 3656 credits for 30 months for radio or tv purposes. He has a checking account with 200 Deutsche Mark or more and no known savings. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a store and 2 credits at this bank. He is employed for more than seven years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 4 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
309,female,'<0',18,'existing paid','new car',976,'<100','<1',1,none,2,car,23,none,own,1,'unskilled resident',1,none,yes,bad,"gender is female, checking_status is '<0', duration is 18, credit_history is 'existing paid', purpose is 'new car', credit_amount is 976, savings_status is '<100', employment is '<1', installment_commitment is 1, other_parties is none, residence_since is 2, property_magnitude is car, age is 23, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 976
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 23
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 18. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 976. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 1. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 23. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>18</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>976</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>1</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>23</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 18 & 'existing paid' & 'new car' & 976 & '<100' & '<1' & 1 & none & 2 & car & 23 & none & own & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 23, 'checking_status': ""'<0'"", 'credit_amount': 976, 'credit_history': ""'existing paid'"", 'duration': 18, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 1, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'<100'""}",A 23-year-old female German Foreigner is applying for a loan of 976 credits for 18 months for new car purposes. She has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. She has no other installment plans and 1 credits at this bank. She is employed for less than one years and is recognized as an unskilled resident individual. She has lived in a self-owned house for 2 years.  She owns a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
310,male,'<0',12,'all paid',radio/tv,2149,'<100','1<=X<4',4,none,1,'no known property',29,none,'for free',1,skilled,1,none,yes,bad,"gender is male, checking_status is '<0', duration is 12, credit_history is 'all paid', purpose is radio/tv, credit_amount is 2149, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 1, property_magnitude is 'no known property', age is 29, other_payment_plans is none, housing is 'for free', existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 12
 - credit_history : 'all paid'
 - purpose : radio/tv
 - credit_amount : 2149
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'no known property'
 - age : 29
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 12. The credit_history is 'all paid'. The purpose is radio/tv. The credit_amount is 2149. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 1. The property_magnitude is 'no known property'. The age is 29. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>12</td>
      <td>'all paid'</td>
      <td>radio/tv</td>
      <td>2149</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>1</td>
      <td>'no known property'</td>
      <td>29</td>
      <td>none</td>
      <td>'for free'</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 12 & 'all paid' & radio/tv & 2149 & '<100' & '1<=X<4' & 4 & none & 1 & 'no known property' & 29 & none & 'for free' & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 29, 'checking_status': ""'<0'"", 'credit_amount': 2149, 'credit_history': ""'all paid'"", 'duration': 12, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'no known property'"", 'purpose': 'radio/tv', 'residence_since': 1, 'savings_status': ""'<100'""}",A 29-year-old male German Foreigner is applying for a loan of 2149 credits for 12 months for radio or tv purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a free accommodation for 1 years.  He owns no known property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
311,male,'<0',48,'existing paid','new car',7763,'<100','>=7',4,none,4,'no known property',42,bank,'for free',1,'high qualif/self emp/mgmt',1,none,yes,bad,"gender is male, checking_status is '<0', duration is 48, credit_history is 'existing paid', purpose is 'new car', credit_amount is 7763, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 42, other_payment_plans is bank, housing is 'for free', existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 48
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 7763
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 42
 - other_payment_plans : bank
 - housing : 'for free'
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 48. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 7763. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 42. The other_payment_plans is bank. The housing is 'for free'. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>48</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>7763</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>42</td>
      <td>bank</td>
      <td>'for free'</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 48 & 'existing paid' & 'new car' & 7763 & '<100' & '>=7' & 4 & none & 4 & 'no known property' & 42 & bank & 'for free' & 1 & 'high qualif/self emp/mgmt' & 1 & none & yes \\
\end{tabular}
","{'age': 42, 'checking_status': ""'<0'"", 'credit_amount': 7763, 'credit_history': ""'existing paid'"", 'duration': 48, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': ""'no known property'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 42-year-old male German Foreigner is applying for a loan of 7763 credits for 48 months for new car purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a bank and 1 credits at this bank. He is employed for more than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a free accommodation for 4 years.  He owns no known property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
312,male,'<0',6,'critical/other existing credit',furniture/equipment,3384,'<100','1<=X<4',1,none,4,'real estate',44,none,rent,1,'high qualif/self emp/mgmt',1,yes,yes,bad,"gender is male, checking_status is '<0', duration is 6, credit_history is 'critical/other existing credit', purpose is furniture/equipment, credit_amount is 3384, savings_status is '<100', employment is '1<=X<4', installment_commitment is 1, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 44, other_payment_plans is none, housing is rent, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 6
 - credit_history : 'critical/other existing credit'
 - purpose : furniture/equipment
 - credit_amount : 3384
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 44
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 6. The credit_history is 'critical/other existing credit'. The purpose is furniture/equipment. The credit_amount is 3384. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 1. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 44. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>6</td>
      <td>'critical/other existing credit'</td>
      <td>furniture/equipment</td>
      <td>3384</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>1</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>44</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 6 & 'critical/other existing credit' & furniture/equipment & 3384 & '<100' & '1<=X<4' & 1 & none & 4 & 'real estate' & 44 & none & rent & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 44, 'checking_status': ""'<0'"", 'credit_amount': 3384, 'credit_history': ""'critical/other existing credit'"", 'duration': 6, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 1, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'<100'""}",A 44-year-old male German Foreigner is applying for a loan of 3384 credits for 6 months for furniture or equipment purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a rented apartment for 4 years.  He owns some real estate property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
313,female,'<0',24,'existing paid',radio/tv,1282,'100<=X<500','1<=X<4',4,none,2,car,32,none,own,1,'unskilled resident',1,none,yes,bad,"gender is female, checking_status is '<0', duration is 24, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1282, savings_status is '100<=X<500', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is car, age is 32, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1282
 - savings_status : '100<=X<500'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 32
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 24. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1282. The savings_status is '100<=X<500'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 32. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1282</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>32</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 24 & 'existing paid' & radio/tv & 1282 & '100<=X<500' & '1<=X<4' & 4 & none & 2 & car & 32 & none & own & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 32, 'checking_status': ""'<0'"", 'credit_amount': 1282, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'100<=X<500'""}",A 32-year-old female German Foreigner is applying for a loan of 1282 credits for 24 months for radio or tv purposes. She has a checking account with 0 Deutsche Mark and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for more than one year but less than four years and is recognized as an unskilled resident individual. She has lived in a self-owned house for 2 years.  She owns a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
314,female,'no checking',18,'critical/other existing credit','new car',1028,'<100','1<=X<4',4,none,3,'real estate',36,none,own,2,skilled,1,none,yes,good,"gender is female, checking_status is 'no checking', duration is 18, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 1028, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 3, property_magnitude is 'real estate', age is 36, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 18
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 1028
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'real estate'
 - age : 36
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 18. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 1028. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 3. The property_magnitude is 'real estate'. The age is 36. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>18</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>1028</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>'real estate'</td>
      <td>36</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 18 & 'critical/other existing credit' & 'new car' & 1028 & '<100' & '1<=X<4' & 4 & none & 3 & 'real estate' & 36 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 36, 'checking_status': ""'no checking'"", 'credit_amount': 1028, 'credit_history': ""'critical/other existing credit'"", 'duration': 18, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 3, 'savings_status': ""'<100'""}",A 36-year-old female German Foreigner is applying for a loan of 1028 credits for 18 months for new car purposes. She has no checking account and a savings acccount with less than 100 Deutsche Mark. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 2 credits at this bank. She is employed for more than one year but less than four years. She has lived in a self-owned house for 3 years.  She owns some real estate property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
315,male,'no checking',24,'existing paid','new car',1393,'<100','1<=X<4',2,guarantor,2,'real estate',31,none,own,1,skilled,1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'existing paid', purpose is 'new car', credit_amount is 1393, savings_status is '<100', employment is '1<=X<4', installment_commitment is 2, other_parties is guarantor, residence_since is 2, property_magnitude is 'real estate', age is 31, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 1393
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : guarantor
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 31
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 24. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 1393. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is guarantor. The residence_since is 2. The property_magnitude is 'real estate'. The age is 31. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>1393</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>guarantor</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>31</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 24 & 'existing paid' & 'new car' & 1393 & '<100' & '1<=X<4' & 2 & guarantor & 2 & 'real estate' & 31 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 31, 'checking_status': ""'no checking'"", 'credit_amount': 1393, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'guarantor', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'<100'""}",A 31-year-old male German Foreigner is applying for a loan of 1393 credits for 24 months for new car purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There is a guarantor associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 2 years.  He owns some real estate property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
316,male,'no checking',12,'existing paid',radio/tv,707,'<100','1<=X<4',4,none,2,'real estate',30,bank,own,2,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 12, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 707, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 30, other_payment_plans is bank, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 707
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 30
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 12. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 707. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 30. The other_payment_plans is bank. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>707</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>30</td>
      <td>bank</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 12 & 'existing paid' & radio/tv & 707 & '<100' & '1<=X<4' & 4 & none & 2 & 'real estate' & 30 & bank & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 30, 'checking_status': ""'no checking'"", 'credit_amount': 707, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 30-year-old male German Foreigner is applying for a loan of 707 credits for 12 months for radio or tv purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a bank and 2 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 2 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
317,male,'<0',21,'critical/other existing credit','new car',571,'<100','>=7',4,none,4,'real estate',65,none,own,2,skilled,1,none,yes,good,"gender is male, checking_status is '<0', duration is 21, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 571, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 65, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 21
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 571
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 65
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 21. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 571. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 65. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>21</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>571</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>65</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 21 & 'critical/other existing credit' & 'new car' & 571 & '<100' & '>=7' & 4 & none & 4 & 'real estate' & 65 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 65, 'checking_status': ""'<0'"", 'credit_amount': 571, 'credit_history': ""'critical/other existing credit'"", 'duration': 21, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 65-year-old male German Foreigner is applying for a loan of 571 credits for 21 months for new car purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 4 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
318,male,'<0',36,'existing paid','used car',8229,'<100','1<=X<4',2,none,2,'life insurance',26,none,own,1,skilled,2,none,yes,bad,"gender is male, checking_status is '<0', duration is 36, credit_history is 'existing paid', purpose is 'used car', credit_amount is 8229, savings_status is '<100', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 2, property_magnitude is 'life insurance', age is 26, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 36
 - credit_history : 'existing paid'
 - purpose : 'used car'
 - credit_amount : 8229
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 26
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 36. The credit_history is 'existing paid'. The purpose is 'used car'. The credit_amount is 8229. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 26. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>36</td>
      <td>'existing paid'</td>
      <td>'used car'</td>
      <td>8229</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>26</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 36 & 'existing paid' & 'used car' & 8229 & '<100' & '1<=X<4' & 2 & none & 2 & 'life insurance' & 26 & none & own & 1 & skilled & 2 & none & yes \\
\end{tabular}
","{'age': 26, 'checking_status': ""'<0'"", 'credit_amount': 8229, 'credit_history': ""'existing paid'"", 'duration': 36, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': ""'used car'"", 'residence_since': 2, 'savings_status': ""'<100'""}",A 26-year-old male German Foreigner is applying for a loan of 8229 credits for 36 months for used car purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 2 years.  He owns life insurance property. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
319,male,'<0',10,'critical/other existing credit','new car',2241,'<100','<1',1,none,3,'real estate',48,none,rent,2,'unskilled resident',2,none,no,good,"gender is male, checking_status is '<0', duration is 10, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 2241, savings_status is '<100', employment is '<1', installment_commitment is 1, other_parties is none, residence_since is 3, property_magnitude is 'real estate', age is 48, other_payment_plans is none, housing is rent, existing_credits is 2, job is 'unskilled resident', num_dependents is 2, own_telephone is none, foreign_worker is no","- gender : male
 - checking_status : '<0'
 - duration : 10
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 2241
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'real estate'
 - age : 48
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 2
 - job : 'unskilled resident'
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : no",The gender is male. The checking_status is '<0'. The duration is 10. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 2241. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 1. The other_parties is none. The residence_since is 3. The property_magnitude is 'real estate'. The age is 48. The other_payment_plans is none. The housing is rent. The existing_credits is 2. The job is 'unskilled resident'. The num_dependents is 2. The own_telephone is none. The foreign_worker is no,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>10</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>2241</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>1</td>
      <td>none</td>
      <td>3</td>
      <td>'real estate'</td>
      <td>48</td>
      <td>none</td>
      <td>rent</td>
      <td>2</td>
      <td>'unskilled resident'</td>
      <td>2</td>
      <td>none</td>
      <td>no</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 10 & 'critical/other existing credit' & 'new car' & 2241 & '<100' & '<1' & 1 & none & 3 & 'real estate' & 48 & none & rent & 2 & 'unskilled resident' & 2 & none & no \\
\end{tabular}
","{'age': 48, 'checking_status': ""'<0'"", 'credit_amount': 2241, 'credit_history': ""'critical/other existing credit'"", 'duration': 10, 'employment': ""'<1'"", 'existing_credits': 2, 'foreign_worker': 'no', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 1, 'job': ""'unskilled resident'"", 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 3, 'savings_status': ""'<100'""}",A 48-year-old male German Citizen is applying for a loan of 2241 credits for 10 months for new car purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 2 credits at this bank. He is employed for less than one years and is recognized as an unskilled resident individual. He has lived in a rented apartment for 3 years.  He owns some real estate property. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
320,male,'no checking',12,'critical/other existing credit',radio/tv,2331,'no known savings','>=7',1,'co applicant',4,'real estate',49,none,own,1,skilled,1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 12, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 2331, savings_status is 'no known savings', employment is '>=7', installment_commitment is 1, other_parties is 'co applicant', residence_since is 4, property_magnitude is 'real estate', age is 49, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 2331
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 1
 - other_parties : 'co applicant'
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 49
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 12. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 2331. The savings_status is 'no known savings'. The employment is '>=7'. The installment_commitment is 1. The other_parties is 'co applicant'. The residence_since is 4. The property_magnitude is 'real estate'. The age is 49. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>12</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>2331</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>1</td>
      <td>'co applicant'</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>49</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 12 & 'critical/other existing credit' & radio/tv & 2331 & 'no known savings' & '>=7' & 1 & 'co applicant' & 4 & 'real estate' & 49 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 49, 'checking_status': ""'no checking'"", 'credit_amount': 2331, 'credit_history': ""'critical/other existing credit'"", 'duration': 12, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': ""'co applicant'"", 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 49-year-old male German Foreigner is applying for a loan of 2331 credits for 12 months for radio or tv purposes. He has no checking account and no known savings. He has critical account or has other credits existing but not at this bank. There co-applicant associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 4 years.  He owns some real estate property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
321,male,'0<=X<200',30,'all paid',furniture/equipment,3496,'>=1000','1<=X<4',4,none,2,car,34,stores,own,1,skilled,2,yes,yes,good,"gender is male, checking_status is '0<=X<200', duration is 30, credit_history is 'all paid', purpose is furniture/equipment, credit_amount is 3496, savings_status is '>=1000', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is car, age is 34, other_payment_plans is stores, housing is own, existing_credits is 1, job is skilled, num_dependents is 2, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 30
 - credit_history : 'all paid'
 - purpose : furniture/equipment
 - credit_amount : 3496
 - savings_status : '>=1000'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 34
 - other_payment_plans : stores
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 2
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 30. The credit_history is 'all paid'. The purpose is furniture/equipment. The credit_amount is 3496. The savings_status is '>=1000'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 34. The other_payment_plans is stores. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 2. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>30</td>
      <td>'all paid'</td>
      <td>furniture/equipment</td>
      <td>3496</td>
      <td>'&gt;=1000'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>34</td>
      <td>stores</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>2</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 30 & 'all paid' & furniture/equipment & 3496 & '>=1000' & '1<=X<4' & 4 & none & 2 & car & 34 & stores & own & 1 & skilled & 2 & yes & yes \\
\end{tabular}
","{'age': 34, 'checking_status': ""'0<=X<200'"", 'credit_amount': 3496, 'credit_history': ""'all paid'"", 'duration': 30, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'stores', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'furniture/equipment', 'residence_since': 2, 'savings_status': ""'>=1000'""}",A 34-year-old male German Foreigner is applying for a loan of 3496 credits for 30 months for furniture or equipment purposes. He has a checking account with less than 200 Deutsche Mark and a savings with 1000 Deutsche Mark or more. He has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a store and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 2 years.  He owns a car. He owns a telephone and has 2 people that he is liable to provide maintenance for.
322,male,'no checking',18,'delayed previously',business,2169,'<100','1<=X<4',4,none,2,car,28,none,own,1,skilled,1,yes,yes,bad,"gender is male, checking_status is 'no checking', duration is 18, credit_history is 'delayed previously', purpose is business, credit_amount is 2169, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is car, age is 28, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 18
 - credit_history : 'delayed previously'
 - purpose : business
 - credit_amount : 2169
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 28
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 18. The credit_history is 'delayed previously'. The purpose is business. The credit_amount is 2169. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 28. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>18</td>
      <td>'delayed previously'</td>
      <td>business</td>
      <td>2169</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>28</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 18 & 'delayed previously' & business & 2169 & '<100' & '1<=X<4' & 4 & none & 2 & car & 28 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 28, 'checking_status': ""'no checking'"", 'credit_amount': 2169, 'credit_history': ""'delayed previously'"", 'duration': 18, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'business', 'residence_since': 2, 'savings_status': ""'<100'""}",A 28-year-old male German Foreigner is applying for a loan of 2169 credits for 18 months for business purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 2 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
323,female,'0<=X<200',24,'critical/other existing credit',education,5743,'<100','<1',2,none,4,'no known property',24,none,'for free',2,skilled,1,yes,yes,good,"gender is female, checking_status is '0<=X<200', duration is 24, credit_history is 'critical/other existing credit', purpose is education, credit_amount is 5743, savings_status is '<100', employment is '<1', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 24, other_payment_plans is none, housing is 'for free', existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 24
 - credit_history : 'critical/other existing credit'
 - purpose : education
 - credit_amount : 5743
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 24
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 24. The credit_history is 'critical/other existing credit'. The purpose is education. The credit_amount is 5743. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 24. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>24</td>
      <td>'critical/other existing credit'</td>
      <td>education</td>
      <td>5743</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>24</td>
      <td>none</td>
      <td>'for free'</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 24 & 'critical/other existing credit' & education & 5743 & '<100' & '<1' & 2 & none & 4 & 'no known property' & 24 & none & 'for free' & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 24, 'checking_status': ""'0<=X<200'"", 'credit_amount': 5743, 'credit_history': ""'critical/other existing credit'"", 'duration': 24, 'employment': ""'<1'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': ""'for free'"", 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': 'education', 'residence_since': 4, 'savings_status': ""'<100'""}",A 24-year-old female German Foreigner is applying for a loan of 5743 credits for 24 months for education purposes. She has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has no other installment plans and 2 credits at this bank. She is employed for less than one years. She has lived in a free accommodation for 4 years.  She owns no known property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
324,male,'0<=X<200',24,'existing paid',other,11328,'<100','1<=X<4',2,'co applicant',3,car,29,bank,own,2,'high qualif/self emp/mgmt',1,yes,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 24, credit_history is 'existing paid', purpose is other, credit_amount is 11328, savings_status is '<100', employment is '1<=X<4', installment_commitment is 2, other_parties is 'co applicant', residence_since is 3, property_magnitude is car, age is 29, other_payment_plans is bank, housing is own, existing_credits is 2, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : other
 - credit_amount : 11328
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : 'co applicant'
 - residence_since : 3
 - property_magnitude : car
 - age : 29
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 2
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 24. The credit_history is 'existing paid'. The purpose is other. The credit_amount is 11328. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is 'co applicant'. The residence_since is 3. The property_magnitude is car. The age is 29. The other_payment_plans is bank. The housing is own. The existing_credits is 2. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>other</td>
      <td>11328</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>'co applicant'</td>
      <td>3</td>
      <td>car</td>
      <td>29</td>
      <td>bank</td>
      <td>own</td>
      <td>2</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 24 & 'existing paid' & other & 11328 & '<100' & '1<=X<4' & 2 & 'co applicant' & 3 & car & 29 & bank & own & 2 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 29, 'checking_status': ""'0<=X<200'"", 'credit_amount': 11328, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': ""'co applicant'"", 'other_payment_plans': 'bank', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'other', 'residence_since': 3, 'savings_status': ""'<100'""}",A 29-year-old male German Foreigner is applying for a loan of 11328 credits for 24 months for other purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There co-applicant associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has other installment plans with a bank and 2 credits at this bank. He is employed for more than one year but less than four years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 3 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
325,male,'no checking',6,'all paid',radio/tv,1750,'500<=X<1000','>=7',2,none,4,'life insurance',45,bank,own,1,'unskilled resident',2,none,yes,good,"gender is male, checking_status is 'no checking', duration is 6, credit_history is 'all paid', purpose is radio/tv, credit_amount is 1750, savings_status is '500<=X<1000', employment is '>=7', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 45, other_payment_plans is bank, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 6
 - credit_history : 'all paid'
 - purpose : radio/tv
 - credit_amount : 1750
 - savings_status : '500<=X<1000'
 - employment : '>=7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 45
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 6. The credit_history is 'all paid'. The purpose is radio/tv. The credit_amount is 1750. The savings_status is '500<=X<1000'. The employment is '>=7'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 45. The other_payment_plans is bank. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>6</td>
      <td>'all paid'</td>
      <td>radio/tv</td>
      <td>1750</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>'&gt;=7'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>45</td>
      <td>bank</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 6 & 'all paid' & radio/tv & 1750 & '500<=X<1000' & '>=7' & 2 & none & 4 & 'life insurance' & 45 & bank & own & 1 & 'unskilled resident' & 2 & none & yes \\
\end{tabular}
","{'age': 45, 'checking_status': ""'no checking'"", 'credit_amount': 1750, 'credit_history': ""'all paid'"", 'duration': 6, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': ""'unskilled resident'"", 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'500<=X<1000'""}",A 45-year-old male German Foreigner is applying for a loan of 1750 credits for 6 months for radio or tv purposes. He has no checking account and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. He has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has other installment plans with a bank and 1 credits at this bank. He is employed for more than seven years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 4 years.  He owns life insurance property. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
326,female,'0<=X<200',24,'existing paid',radio/tv,5084,'no known savings','>=7',2,none,4,car,42,none,own,1,skilled,1,yes,yes,good,"gender is female, checking_status is '0<=X<200', duration is 24, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 5084, savings_status is 'no known savings', employment is '>=7', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is car, age is 42, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 5084
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 42
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 24. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 5084. The savings_status is 'no known savings'. The employment is '>=7'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 42. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>5084</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>42</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 24 & 'existing paid' & radio/tv & 5084 & 'no known savings' & '>=7' & 2 & none & 4 & car & 42 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 42, 'checking_status': ""'0<=X<200'"", 'credit_amount': 5084, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 42-year-old female German Foreigner is applying for a loan of 5084 credits for 24 months for radio or tv purposes. She has a checking account with less than 200 Deutsche Mark and no known savings. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has no other installment plans and 1 credits at this bank. She is employed for more than seven years. She has lived in a self-owned house for 4 years.  She owns a car. She owns a telephone and has 1 person that she is liable to provide maintenance for.
327,male,'<0',12,'existing paid',retraining,902,'<100','4<=X<7',4,none,4,'life insurance',21,none,rent,1,skilled,1,none,yes,bad,"gender is male, checking_status is '<0', duration is 12, credit_history is 'existing paid', purpose is retraining, credit_amount is 902, savings_status is '<100', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 21, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : retraining
 - credit_amount : 902
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 21
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 12. The credit_history is 'existing paid'. The purpose is retraining. The credit_amount is 902. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 21. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>retraining</td>
      <td>902</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>21</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 12 & 'existing paid' & retraining & 902 & '<100' & '4<=X<7' & 4 & none & 4 & 'life insurance' & 21 & none & rent & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 21, 'checking_status': ""'<0'"", 'credit_amount': 902, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'retraining', 'residence_since': 4, 'savings_status': ""'<100'""}",A 21-year-old male German Foreigner is applying for a loan of 902 credits for 12 months for retraining purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a rented apartment for 4 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
328,female,'<0',24,'existing paid',radio/tv,3660,'<100','1<=X<4',2,none,4,car,28,none,own,1,skilled,1,none,yes,good,"gender is female, checking_status is '<0', duration is 24, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 3660, savings_status is '<100', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is car, age is 28, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 3660
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 28
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 24. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 3660. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 28. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>3660</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>28</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 24 & 'existing paid' & radio/tv & 3660 & '<100' & '1<=X<4' & 2 & none & 4 & car & 28 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 28, 'checking_status': ""'<0'"", 'credit_amount': 3660, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'<100'""}",A 28-year-old female German Foreigner is applying for a loan of 3660 credits for 24 months for radio or tv purposes. She has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has no other installment plans and 1 credits at this bank. She is employed for more than one year but less than four years. She has lived in a self-owned house for 4 years.  She owns a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
329,male,'>=200',24,'critical/other existing credit',furniture/equipment,3617,'no known savings','>=7',4,'co applicant',4,'no known property',20,none,rent,2,skilled,1,none,yes,good,"gender is male, checking_status is '>=200', duration is 24, credit_history is 'critical/other existing credit', purpose is furniture/equipment, credit_amount is 3617, savings_status is 'no known savings', employment is '>=7', installment_commitment is 4, other_parties is 'co applicant', residence_since is 4, property_magnitude is 'no known property', age is 20, other_payment_plans is none, housing is rent, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '>=200'
 - duration : 24
 - credit_history : 'critical/other existing credit'
 - purpose : furniture/equipment
 - credit_amount : 3617
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : 'co applicant'
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 20
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '>=200'. The duration is 24. The credit_history is 'critical/other existing credit'. The purpose is furniture/equipment. The credit_amount is 3617. The savings_status is 'no known savings'. The employment is '>=7'. The installment_commitment is 4. The other_parties is 'co applicant'. The residence_since is 4. The property_magnitude is 'no known property'. The age is 20. The other_payment_plans is none. The housing is rent. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&gt;=200'</td>
      <td>24</td>
      <td>'critical/other existing credit'</td>
      <td>furniture/equipment</td>
      <td>3617</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>'co applicant'</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>20</td>
      <td>none</td>
      <td>rent</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '>=200' & 24 & 'critical/other existing credit' & furniture/equipment & 3617 & 'no known savings' & '>=7' & 4 & 'co applicant' & 4 & 'no known property' & 20 & none & rent & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 20, 'checking_status': ""'>=200'"", 'credit_amount': 3617, 'credit_history': ""'critical/other existing credit'"", 'duration': 24, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': ""'co applicant'"", 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'no known property'"", 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 20-year-old male German Foreigner is applying for a loan of 3617 credits for 24 months for furniture or equipment purposes. He has a checking account with 200 Deutsche Mark or more and no known savings. He has critical account or has other credits existing but not at this bank. There co-applicant associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years. He has lived in a rented apartment for 4 years.  He owns no known property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
330,male,'<0',24,'all paid',furniture/equipment,3552,'<100','4<=X<7',3,none,4,car,27,bank,own,1,skilled,1,none,yes,bad,"gender is male, checking_status is '<0', duration is 24, credit_history is 'all paid', purpose is furniture/equipment, credit_amount is 3552, savings_status is '<100', employment is '4<=X<7', installment_commitment is 3, other_parties is none, residence_since is 4, property_magnitude is car, age is 27, other_payment_plans is bank, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 24
 - credit_history : 'all paid'
 - purpose : furniture/equipment
 - credit_amount : 3552
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 27
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 24. The credit_history is 'all paid'. The purpose is furniture/equipment. The credit_amount is 3552. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 3. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 27. The other_payment_plans is bank. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>24</td>
      <td>'all paid'</td>
      <td>furniture/equipment</td>
      <td>3552</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>3</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>27</td>
      <td>bank</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 24 & 'all paid' & furniture/equipment & 3552 & '<100' & '4<=X<7' & 3 & none & 4 & car & 27 & bank & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 27, 'checking_status': ""'<0'"", 'credit_amount': 3552, 'credit_history': ""'all paid'"", 'duration': 24, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'<100'""}",A 27-year-old male German Foreigner is applying for a loan of 3552 credits for 24 months for furniture or equipment purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has other installment plans with a bank and 1 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 4 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
331,male,'no checking',36,'existing paid',education,1819,'<100','1<=X<4',4,none,4,'no known property',37,stores,'for free',1,skilled,1,yes,yes,bad,"gender is male, checking_status is 'no checking', duration is 36, credit_history is 'existing paid', purpose is education, credit_amount is 1819, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 37, other_payment_plans is stores, housing is 'for free', existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 36
 - credit_history : 'existing paid'
 - purpose : education
 - credit_amount : 1819
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 37
 - other_payment_plans : stores
 - housing : 'for free'
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 36. The credit_history is 'existing paid'. The purpose is education. The credit_amount is 1819. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 37. The other_payment_plans is stores. The housing is 'for free'. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>36</td>
      <td>'existing paid'</td>
      <td>education</td>
      <td>1819</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>37</td>
      <td>stores</td>
      <td>'for free'</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 36 & 'existing paid' & education & 1819 & '<100' & '1<=X<4' & 4 & none & 4 & 'no known property' & 37 & stores & 'for free' & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 37, 'checking_status': ""'no checking'"", 'credit_amount': 1819, 'credit_history': ""'existing paid'"", 'duration': 36, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'stores', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': 'education', 'residence_since': 4, 'savings_status': ""'<100'""}",A 37-year-old male German Foreigner is applying for a loan of 1819 credits for 36 months for education purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a store and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a free accommodation for 4 years.  He owns no known property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
332,male,'no checking',48,'existing paid',business,3914,'no known savings','1<=X<4',4,none,2,'real estate',38,bank,own,1,skilled,1,none,yes,bad,"gender is male, checking_status is 'no checking', duration is 48, credit_history is 'existing paid', purpose is business, credit_amount is 3914, savings_status is 'no known savings', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 38, other_payment_plans is bank, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 48
 - credit_history : 'existing paid'
 - purpose : business
 - credit_amount : 3914
 - savings_status : 'no known savings'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 38
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 48. The credit_history is 'existing paid'. The purpose is business. The credit_amount is 3914. The savings_status is 'no known savings'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 38. The other_payment_plans is bank. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>48</td>
      <td>'existing paid'</td>
      <td>business</td>
      <td>3914</td>
      <td>'no known savings'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>38</td>
      <td>bank</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 48 & 'existing paid' & business & 3914 & 'no known savings' & '1<=X<4' & 4 & none & 2 & 'real estate' & 38 & bank & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 38, 'checking_status': ""'no checking'"", 'credit_amount': 3914, 'credit_history': ""'existing paid'"", 'duration': 48, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'business', 'residence_since': 2, 'savings_status': ""'no known savings'""}",A 38-year-old male German Foreigner is applying for a loan of 3914 credits for 48 months for business purposes. He has no checking account and no known savings. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a bank and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 2 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
333,male,'0<=X<200',24,'critical/other existing credit','new car',3878,'100<=X<500','<1',4,none,2,car,37,none,own,1,skilled,1,yes,yes,good,"gender is male, checking_status is '0<=X<200', duration is 24, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 3878, savings_status is '100<=X<500', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is car, age is 37, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 24
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 3878
 - savings_status : '100<=X<500'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 37
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 24. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 3878. The savings_status is '100<=X<500'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 37. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>24</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>3878</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>37</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 24 & 'critical/other existing credit' & 'new car' & 3878 & '100<=X<500' & '<1' & 4 & none & 2 & car & 37 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 37, 'checking_status': ""'0<=X<200'"", 'credit_amount': 3878, 'credit_history': ""'critical/other existing credit'"", 'duration': 24, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'100<=X<500'""}",A 37-year-old male German Foreigner is applying for a loan of 3878 credits for 24 months for new car purposes. He has a checking account with less than 200 Deutsche Mark and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for less than one years. He has lived in a self-owned house for 2 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
334,male,'no checking',18,'existing paid',furniture/equipment,3422,'<100','>=7',4,none,4,'life insurance',47,bank,own,3,skilled,2,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 18, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 3422, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 47, other_payment_plans is bank, housing is own, existing_credits is 3, job is skilled, num_dependents is 2, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 3422
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 47
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 3
 - job : skilled
 - num_dependents : 2
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 18. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 3422. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 47. The other_payment_plans is bank. The housing is own. The existing_credits is 3. The job is skilled. The num_dependents is 2. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>18</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>3422</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>47</td>
      <td>bank</td>
      <td>own</td>
      <td>3</td>
      <td>skilled</td>
      <td>2</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 18 & 'existing paid' & furniture/equipment & 3422 & '<100' & '>=7' & 4 & none & 4 & 'life insurance' & 47 & bank & own & 3 & skilled & 2 & yes & yes \\
\end{tabular}
","{'age': 47, 'checking_status': ""'no checking'"", 'credit_amount': 3422, 'credit_history': ""'existing paid'"", 'duration': 18, 'employment': ""'>=7'"", 'existing_credits': 3, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'<100'""}",A 47-year-old male German Foreigner is applying for a loan of 3422 credits for 18 months for furniture or equipment purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a bank and 3 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 4 years.  He owns life insurance property. He owns a telephone and has 2 people that he is liable to provide maintenance for.
335,male,'<0',9,'existing paid',furniture/equipment,2136,'<100','1<=X<4',3,none,2,'real estate',25,none,own,1,skilled,1,none,yes,good,"gender is male, checking_status is '<0', duration is 9, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 2136, savings_status is '<100', employment is '1<=X<4', installment_commitment is 3, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 25, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 9
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 2136
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 25
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 9. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 2136. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 3. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 25. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>9</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>2136</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>3</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>25</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 9 & 'existing paid' & furniture/equipment & 2136 & '<100' & '1<=X<4' & 3 & none & 2 & 'real estate' & 25 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 25, 'checking_status': ""'<0'"", 'credit_amount': 2136, 'credit_history': ""'existing paid'"", 'duration': 9, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'furniture/equipment', 'residence_since': 2, 'savings_status': ""'<100'""}",A 25-year-old male German Foreigner is applying for a loan of 2136 credits for 9 months for furniture or equipment purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 2 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
336,female,'0<=X<200',24,'critical/other existing credit','used car',7758,'>=1000','>=7',2,none,4,'no known property',29,none,rent,1,skilled,1,none,yes,good,"gender is female, checking_status is '0<=X<200', duration is 24, credit_history is 'critical/other existing credit', purpose is 'used car', credit_amount is 7758, savings_status is '>=1000', employment is '>=7', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 29, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 24
 - credit_history : 'critical/other existing credit'
 - purpose : 'used car'
 - credit_amount : 7758
 - savings_status : '>=1000'
 - employment : '>=7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 29
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 24. The credit_history is 'critical/other existing credit'. The purpose is 'used car'. The credit_amount is 7758. The savings_status is '>=1000'. The employment is '>=7'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 29. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>24</td>
      <td>'critical/other existing credit'</td>
      <td>'used car'</td>
      <td>7758</td>
      <td>'&gt;=1000'</td>
      <td>'&gt;=7'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>29</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 24 & 'critical/other existing credit' & 'used car' & 7758 & '>=1000' & '>=7' & 2 & none & 4 & 'no known property' & 29 & none & rent & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 29, 'checking_status': ""'0<=X<200'"", 'credit_amount': 7758, 'credit_history': ""'critical/other existing credit'"", 'duration': 24, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'no known property'"", 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'>=1000'""}",A 29-year-old female German Foreigner is applying for a loan of 7758 credits for 24 months for used car purposes. She has a checking account with less than 200 Deutsche Mark and a savings with 1000 Deutsche Mark or more. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has no other installment plans and 1 credits at this bank. She is employed for more than seven years. She has lived in a rented apartment for 4 years.  She owns no known property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
337,male,'<0',12,'critical/other existing credit','used car',1526,'<100','>=7',4,none,4,'no known property',66,none,'for free',2,'high qualif/self emp/mgmt',1,none,yes,good,"gender is male, checking_status is '<0', duration is 12, credit_history is 'critical/other existing credit', purpose is 'used car', credit_amount is 1526, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 66, other_payment_plans is none, housing is 'for free', existing_credits is 2, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 12
 - credit_history : 'critical/other existing credit'
 - purpose : 'used car'
 - credit_amount : 1526
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 66
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 2
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 12. The credit_history is 'critical/other existing credit'. The purpose is 'used car'. The credit_amount is 1526. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 66. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 2. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>12</td>
      <td>'critical/other existing credit'</td>
      <td>'used car'</td>
      <td>1526</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>66</td>
      <td>none</td>
      <td>'for free'</td>
      <td>2</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 12 & 'critical/other existing credit' & 'used car' & 1526 & '<100' & '>=7' & 4 & none & 4 & 'no known property' & 66 & none & 'for free' & 2 & 'high qualif/self emp/mgmt' & 1 & none & yes \\
\end{tabular}
","{'age': 66, 'checking_status': ""'<0'"", 'credit_amount': 1526, 'credit_history': ""'critical/other existing credit'"", 'duration': 12, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'no known property'"", 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 66-year-old male German Foreigner is applying for a loan of 1526 credits for 12 months for used car purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a free accommodation for 4 years.  He owns no known property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
338,male,'0<=X<200',24,'delayed previously',radio/tv,6403,'<100','<1',1,none,2,car,33,none,own,1,skilled,1,none,yes,good,"gender is male, checking_status is '0<=X<200', duration is 24, credit_history is 'delayed previously', purpose is radio/tv, credit_amount is 6403, savings_status is '<100', employment is '<1', installment_commitment is 1, other_parties is none, residence_since is 2, property_magnitude is car, age is 33, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 24
 - credit_history : 'delayed previously'
 - purpose : radio/tv
 - credit_amount : 6403
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 33
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 24. The credit_history is 'delayed previously'. The purpose is radio/tv. The credit_amount is 6403. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 1. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 33. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>24</td>
      <td>'delayed previously'</td>
      <td>radio/tv</td>
      <td>6403</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>1</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>33</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 24 & 'delayed previously' & radio/tv & 6403 & '<100' & '<1' & 1 & none & 2 & car & 33 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 33, 'checking_status': ""'0<=X<200'"", 'credit_amount': 6403, 'credit_history': ""'delayed previously'"", 'duration': 24, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 33-year-old male German Foreigner is applying for a loan of 6403 credits for 24 months for radio or tv purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 1 credits at this bank. He is employed for less than one years. He has lived in a self-owned house for 2 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
339,female,'<0',36,'existing paid','new car',1842,'<100','<1',4,none,4,car,34,none,own,1,skilled,1,yes,yes,bad,"gender is female, checking_status is '<0', duration is 36, credit_history is 'existing paid', purpose is 'new car', credit_amount is 1842, savings_status is '<100', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is car, age is 34, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 36
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 1842
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 34
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 36. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 1842. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 34. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>36</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>1842</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>34</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 36 & 'existing paid' & 'new car' & 1842 & '<100' & '<1' & 4 & none & 4 & car & 34 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 34, 'checking_status': ""'<0'"", 'credit_amount': 1842, 'credit_history': ""'existing paid'"", 'duration': 36, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 34-year-old female German Foreigner is applying for a loan of 1842 credits for 36 months for new car purposes. She has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for less than one years. She has lived in a self-owned house for 4 years.  She owns a car. She owns a telephone and has 1 person that she is liable to provide maintenance for.
340,male,'<0',12,'existing paid',radio/tv,674,'100<=X<500','4<=X<7',4,none,1,'life insurance',20,none,own,1,skilled,1,none,yes,bad,"gender is male, checking_status is '<0', duration is 12, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 674, savings_status is '100<=X<500', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 1, property_magnitude is 'life insurance', age is 20, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 674
 - savings_status : '100<=X<500'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'life insurance'
 - age : 20
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 12. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 674. The savings_status is '100<=X<500'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is none. The residence_since is 1. The property_magnitude is 'life insurance'. The age is 20. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>674</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>1</td>
      <td>'life insurance'</td>
      <td>20</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 12 & 'existing paid' & radio/tv & 674 & '100<=X<500' & '4<=X<7' & 4 & none & 1 & 'life insurance' & 20 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 20, 'checking_status': ""'<0'"", 'credit_amount': 674, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'radio/tv', 'residence_since': 1, 'savings_status': ""'100<=X<500'""}",A 20-year-old male German Foreigner is applying for a loan of 674 credits for 12 months for radio or tv purposes. He has a checking account with 0 Deutsche Mark and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 1 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
341,female,'no checking',12,'critical/other existing credit',furniture/equipment,1402,'500<=X<1000','4<=X<7',3,none,4,car,37,none,rent,1,skilled,1,yes,yes,good,"gender is female, checking_status is 'no checking', duration is 12, credit_history is 'critical/other existing credit', purpose is furniture/equipment, credit_amount is 1402, savings_status is '500<=X<1000', employment is '4<=X<7', installment_commitment is 3, other_parties is none, residence_since is 4, property_magnitude is car, age is 37, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'critical/other existing credit'
 - purpose : furniture/equipment
 - credit_amount : 1402
 - savings_status : '500<=X<1000'
 - employment : '4<=X<7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 37
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 12. The credit_history is 'critical/other existing credit'. The purpose is furniture/equipment. The credit_amount is 1402. The savings_status is '500<=X<1000'. The employment is '4<=X<7'. The installment_commitment is 3. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 37. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>12</td>
      <td>'critical/other existing credit'</td>
      <td>furniture/equipment</td>
      <td>1402</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>3</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>37</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 12 & 'critical/other existing credit' & furniture/equipment & 1402 & '500<=X<1000' & '4<=X<7' & 3 & none & 4 & car & 37 & none & rent & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 37, 'checking_status': ""'no checking'"", 'credit_amount': 1402, 'credit_history': ""'critical/other existing credit'"", 'duration': 12, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'500<=X<1000'""}",A 37-year-old female German Foreigner is applying for a loan of 1402 credits for 12 months for furniture or equipment purposes. She has no checking account and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. She has no other installment plans and 1 credits at this bank. She is employed for more than four years but less than seven years. She has lived in a rented apartment for 4 years.  She owns a car. She owns a telephone and has 1 person that she is liable to provide maintenance for.
342,male,'0<=X<200',6,'existing paid','new car',14555,'no known savings',unemployed,1,none,2,'life insurance',23,none,own,1,'unemp/unskilled non res',1,yes,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 6, credit_history is 'existing paid', purpose is 'new car', credit_amount is 14555, savings_status is 'no known savings', employment is unemployed, installment_commitment is 1, other_parties is none, residence_since is 2, property_magnitude is 'life insurance', age is 23, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unemp/unskilled non res', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 6
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 14555
 - savings_status : 'no known savings'
 - employment : unemployed
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 23
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unemp/unskilled non res'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 6. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 14555. The savings_status is 'no known savings'. The employment is unemployed. The installment_commitment is 1. The other_parties is none. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 23. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unemp/unskilled non res'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>6</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>14555</td>
      <td>'no known savings'</td>
      <td>unemployed</td>
      <td>1</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>23</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unemp/unskilled non res'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 6 & 'existing paid' & 'new car' & 14555 & 'no known savings' & unemployed & 1 & none & 2 & 'life insurance' & 23 & none & own & 1 & 'unemp/unskilled non res' & 1 & yes & yes \\
\end{tabular}
","{'age': 23, 'checking_status': ""'0<=X<200'"", 'credit_amount': 14555, 'credit_history': ""'existing paid'"", 'duration': 6, 'employment': 'unemployed', 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 1, 'job': ""'unemp/unskilled non res'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'no known savings'""}",A 23-year-old male German Foreigner is applying for a loan of 14555 credits for 6 months for new car purposes. He has a checking account with less than 200 Deutsche Mark and no known savings. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 1 credits at this bank. He is unemployed and is recognized as an unemployed or unskilled non-resident individual. He has lived in a self-owned house for 2 years.  He owns life insurance property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
343,female,'no checking',24,'existing paid','new car',3757,'<100','>=7',4,'co applicant',4,'no known property',62,none,'for free',1,skilled,1,yes,yes,good,"gender is female, checking_status is 'no checking', duration is 24, credit_history is 'existing paid', purpose is 'new car', credit_amount is 3757, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is 'co applicant', residence_since is 4, property_magnitude is 'no known property', age is 62, other_payment_plans is none, housing is 'for free', existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 3757
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : 'co applicant'
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 62
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 24. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 3757. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is 'co applicant'. The residence_since is 4. The property_magnitude is 'no known property'. The age is 62. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>3757</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>'co applicant'</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>62</td>
      <td>none</td>
      <td>'for free'</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 24 & 'existing paid' & 'new car' & 3757 & '<100' & '>=7' & 4 & 'co applicant' & 4 & 'no known property' & 62 & none & 'for free' & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 62, 'checking_status': ""'no checking'"", 'credit_amount': 3757, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': ""'for free'"", 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': ""'co applicant'"", 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 62-year-old female German Foreigner is applying for a loan of 3757 credits for 24 months for new car purposes. She has no checking account and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There co-applicant associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for more than seven years. She has lived in a free accommodation for 4 years.  She owns no known property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
344,female,'<0',10,'critical/other existing credit',furniture/equipment,2132,'no known savings','<1',2,'co applicant',3,'real estate',27,none,rent,2,skilled,1,none,no,good,"gender is female, checking_status is '<0', duration is 10, credit_history is 'critical/other existing credit', purpose is furniture/equipment, credit_amount is 2132, savings_status is 'no known savings', employment is '<1', installment_commitment is 2, other_parties is 'co applicant', residence_since is 3, property_magnitude is 'real estate', age is 27, other_payment_plans is none, housing is rent, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is no","- gender : female
 - checking_status : '<0'
 - duration : 10
 - credit_history : 'critical/other existing credit'
 - purpose : furniture/equipment
 - credit_amount : 2132
 - savings_status : 'no known savings'
 - employment : '<1'
 - installment_commitment : 2
 - other_parties : 'co applicant'
 - residence_since : 3
 - property_magnitude : 'real estate'
 - age : 27
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : no",The gender is female. The checking_status is '<0'. The duration is 10. The credit_history is 'critical/other existing credit'. The purpose is furniture/equipment. The credit_amount is 2132. The savings_status is 'no known savings'. The employment is '<1'. The installment_commitment is 2. The other_parties is 'co applicant'. The residence_since is 3. The property_magnitude is 'real estate'. The age is 27. The other_payment_plans is none. The housing is rent. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is no,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>10</td>
      <td>'critical/other existing credit'</td>
      <td>furniture/equipment</td>
      <td>2132</td>
      <td>'no known savings'</td>
      <td>'&lt;1'</td>
      <td>2</td>
      <td>'co applicant'</td>
      <td>3</td>
      <td>'real estate'</td>
      <td>27</td>
      <td>none</td>
      <td>rent</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>no</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 10 & 'critical/other existing credit' & furniture/equipment & 2132 & 'no known savings' & '<1' & 2 & 'co applicant' & 3 & 'real estate' & 27 & none & rent & 2 & skilled & 1 & none & no \\
\end{tabular}
","{'age': 27, 'checking_status': ""'<0'"", 'credit_amount': 2132, 'credit_history': ""'critical/other existing credit'"", 'duration': 10, 'employment': ""'<1'"", 'existing_credits': 2, 'foreign_worker': 'no', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': ""'co applicant'"", 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'furniture/equipment', 'residence_since': 3, 'savings_status': ""'no known savings'""}",A 27-year-old female German Citizen is applying for a loan of 2132 credits for 10 months for furniture or equipment purposes. She has a checking account with 0 Deutsche Mark and no known savings. She has critical account or has other credits existing but not at this bank. There co-applicant associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has no other installment plans and 2 credits at this bank. She is employed for less than one years. She has lived in a rented apartment for 3 years.  She owns some real estate property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
345,male,'no checking',4,'critical/other existing credit','new car',1455,'<100','4<=X<7',2,none,1,'real estate',42,none,own,3,'unskilled resident',2,none,yes,good,"gender is male, checking_status is 'no checking', duration is 4, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 1455, savings_status is '<100', employment is '4<=X<7', installment_commitment is 2, other_parties is none, residence_since is 1, property_magnitude is 'real estate', age is 42, other_payment_plans is none, housing is own, existing_credits is 3, job is 'unskilled resident', num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 4
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 1455
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'real estate'
 - age : 42
 - other_payment_plans : none
 - housing : own
 - existing_credits : 3
 - job : 'unskilled resident'
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 4. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 1455. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 2. The other_parties is none. The residence_since is 1. The property_magnitude is 'real estate'. The age is 42. The other_payment_plans is none. The housing is own. The existing_credits is 3. The job is 'unskilled resident'. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>4</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>1455</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>2</td>
      <td>none</td>
      <td>1</td>
      <td>'real estate'</td>
      <td>42</td>
      <td>none</td>
      <td>own</td>
      <td>3</td>
      <td>'unskilled resident'</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 4 & 'critical/other existing credit' & 'new car' & 1455 & '<100' & '4<=X<7' & 2 & none & 1 & 'real estate' & 42 & none & own & 3 & 'unskilled resident' & 2 & none & yes \\
\end{tabular}
","{'age': 42, 'checking_status': ""'no checking'"", 'credit_amount': 1455, 'credit_history': ""'critical/other existing credit'"", 'duration': 4, 'employment': ""'4<=X<7'"", 'existing_credits': 3, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': ""'unskilled resident'"", 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 1, 'savings_status': ""'<100'""}",A 42-year-old male German Foreigner is applying for a loan of 1455 credits for 4 months for new car purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 3 credits at this bank. He is employed for more than four years but less than seven years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 1 years.  He owns some real estate property. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
346,male,'>=200',15,'existing paid',business,2687,'<100','4<=X<7',2,none,4,'life insurance',26,none,rent,1,skilled,1,yes,yes,good,"gender is male, checking_status is '>=200', duration is 15, credit_history is 'existing paid', purpose is business, credit_amount is 2687, savings_status is '<100', employment is '4<=X<7', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 26, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '>=200'
 - duration : 15
 - credit_history : 'existing paid'
 - purpose : business
 - credit_amount : 2687
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 26
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '>=200'. The duration is 15. The credit_history is 'existing paid'. The purpose is business. The credit_amount is 2687. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 26. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&gt;=200'</td>
      <td>15</td>
      <td>'existing paid'</td>
      <td>business</td>
      <td>2687</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>26</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '>=200' & 15 & 'existing paid' & business & 2687 & '<100' & '4<=X<7' & 2 & none & 4 & 'life insurance' & 26 & none & rent & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 26, 'checking_status': ""'>=200'"", 'credit_amount': 2687, 'credit_history': ""'existing paid'"", 'duration': 15, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': 'business', 'residence_since': 4, 'savings_status': ""'<100'""}",A 26-year-old male German Foreigner is applying for a loan of 2687 credits for 15 months for business purposes. He has a checking account with 200 Deutsche Mark or more and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a rented apartment for 4 years.  He owns life insurance property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
347,male,'<0',21,'critical/other existing credit','new car',1602,'<100','>=7',4,none,3,car,30,none,own,2,skilled,1,yes,yes,good,"gender is male, checking_status is '<0', duration is 21, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 1602, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 3, property_magnitude is car, age is 30, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 21
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 1602
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : car
 - age : 30
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 21. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 1602. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 3. The property_magnitude is car. The age is 30. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>21</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>1602</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>car</td>
      <td>30</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 21 & 'critical/other existing credit' & 'new car' & 1602 & '<100' & '>=7' & 4 & none & 3 & car & 30 & none & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 30, 'checking_status': ""'<0'"", 'credit_amount': 1602, 'credit_history': ""'critical/other existing credit'"", 'duration': 21, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 3, 'savings_status': ""'<100'""}",A 30-year-old male German Foreigner is applying for a loan of 1602 credits for 21 months for new car purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 3 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
348,female,'0<=X<200',24,'delayed previously','new car',1965,'no known savings','1<=X<4',4,none,4,car,42,none,rent,2,skilled,1,yes,yes,good,"gender is female, checking_status is '0<=X<200', duration is 24, credit_history is 'delayed previously', purpose is 'new car', credit_amount is 1965, savings_status is 'no known savings', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is car, age is 42, other_payment_plans is none, housing is rent, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 24
 - credit_history : 'delayed previously'
 - purpose : 'new car'
 - credit_amount : 1965
 - savings_status : 'no known savings'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 42
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 24. The credit_history is 'delayed previously'. The purpose is 'new car'. The credit_amount is 1965. The savings_status is 'no known savings'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 42. The other_payment_plans is none. The housing is rent. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>24</td>
      <td>'delayed previously'</td>
      <td>'new car'</td>
      <td>1965</td>
      <td>'no known savings'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>42</td>
      <td>none</td>
      <td>rent</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 24 & 'delayed previously' & 'new car' & 1965 & 'no known savings' & '1<=X<4' & 4 & none & 4 & car & 42 & none & rent & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 42, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1965, 'credit_history': ""'delayed previously'"", 'duration': 24, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 42-year-old female German Foreigner is applying for a loan of 1965 credits for 24 months for new car purposes. She has a checking account with less than 200 Deutsche Mark and no known savings. She has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 2 credits at this bank. She is employed for more than one year but less than four years. She has lived in a rented apartment for 4 years.  She owns a car. She owns a telephone and has 1 person that she is liable to provide maintenance for.
349,male,'<0',12,'existing paid',radio/tv,701,'<100','1<=X<4',4,none,2,'real estate',40,none,own,1,'unskilled resident',1,none,yes,good,"gender is male, checking_status is '<0', duration is 12, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 701, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 40, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 701
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 40
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 12. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 701. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 40. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>701</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>40</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 12 & 'existing paid' & radio/tv & 701 & '<100' & '1<=X<4' & 4 & none & 2 & 'real estate' & 40 & none & own & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 40, 'checking_status': ""'<0'"", 'credit_amount': 701, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 40-year-old male German Foreigner is applying for a loan of 701 credits for 12 months for radio or tv purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 2 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
350,female,'<0',42,'existing paid',radio/tv,7174,'no known savings','4<=X<7',4,none,3,car,30,none,own,1,'high qualif/self emp/mgmt',1,yes,yes,bad,"gender is female, checking_status is '<0', duration is 42, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 7174, savings_status is 'no known savings', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 3, property_magnitude is car, age is 30, other_payment_plans is none, housing is own, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 42
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 7174
 - savings_status : 'no known savings'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : car
 - age : 30
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 42. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 7174. The savings_status is 'no known savings'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is none. The residence_since is 3. The property_magnitude is car. The age is 30. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>42</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>7174</td>
      <td>'no known savings'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>car</td>
      <td>30</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 42 & 'existing paid' & radio/tv & 7174 & 'no known savings' & '4<=X<7' & 4 & none & 3 & car & 30 & none & own & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 30, 'checking_status': ""'<0'"", 'credit_amount': 7174, 'credit_history': ""'existing paid'"", 'duration': 42, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 3, 'savings_status': ""'no known savings'""}",A 30-year-old female German Foreigner is applying for a loan of 7174 credits for 42 months for radio or tv purposes. She has a checking account with 0 Deutsche Mark and no known savings. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for more than four years but less than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. She has lived in a self-owned house for 3 years.  She owns a car. She owns a telephone and has 1 person that she is liable to provide maintenance for.
351,male,'no checking',6,'existing paid',retraining,1238,'no known savings',unemployed,4,none,4,'life insurance',36,none,own,1,'high qualif/self emp/mgmt',2,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 6, credit_history is 'existing paid', purpose is retraining, credit_amount is 1238, savings_status is 'no known savings', employment is unemployed, installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 36, other_payment_plans is none, housing is own, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 2, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 6
 - credit_history : 'existing paid'
 - purpose : retraining
 - credit_amount : 1238
 - savings_status : 'no known savings'
 - employment : unemployed
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 36
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 2
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 6. The credit_history is 'existing paid'. The purpose is retraining. The credit_amount is 1238. The savings_status is 'no known savings'. The employment is unemployed. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 36. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 2. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>6</td>
      <td>'existing paid'</td>
      <td>retraining</td>
      <td>1238</td>
      <td>'no known savings'</td>
      <td>unemployed</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>36</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>2</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 6 & 'existing paid' & retraining & 1238 & 'no known savings' & unemployed & 4 & none & 4 & 'life insurance' & 36 & none & own & 1 & 'high qualif/self emp/mgmt' & 2 & yes & yes \\
\end{tabular}
","{'age': 36, 'checking_status': ""'no checking'"", 'credit_amount': 1238, 'credit_history': ""'existing paid'"", 'duration': 6, 'employment': 'unemployed', 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': 'retraining', 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 36-year-old male German Foreigner is applying for a loan of 1238 credits for 6 months for retraining purposes. He has no checking account and no known savings. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is unemployed and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 4 years.  He owns life insurance property. He owns a telephone and has 2 people that he is liable to provide maintenance for.
352,male,'<0',6,'critical/other existing credit','new car',4716,'no known savings','<1',1,none,3,'real estate',44,none,own,2,'unskilled resident',2,none,yes,good,"gender is male, checking_status is '<0', duration is 6, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 4716, savings_status is 'no known savings', employment is '<1', installment_commitment is 1, other_parties is none, residence_since is 3, property_magnitude is 'real estate', age is 44, other_payment_plans is none, housing is own, existing_credits is 2, job is 'unskilled resident', num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 6
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 4716
 - savings_status : 'no known savings'
 - employment : '<1'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'real estate'
 - age : 44
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : 'unskilled resident'
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 6. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 4716. The savings_status is 'no known savings'. The employment is '<1'. The installment_commitment is 1. The other_parties is none. The residence_since is 3. The property_magnitude is 'real estate'. The age is 44. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is 'unskilled resident'. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>6</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>4716</td>
      <td>'no known savings'</td>
      <td>'&lt;1'</td>
      <td>1</td>
      <td>none</td>
      <td>3</td>
      <td>'real estate'</td>
      <td>44</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>'unskilled resident'</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 6 & 'critical/other existing credit' & 'new car' & 4716 & 'no known savings' & '<1' & 1 & none & 3 & 'real estate' & 44 & none & own & 2 & 'unskilled resident' & 2 & none & yes \\
\end{tabular}
","{'age': 44, 'checking_status': ""'<0'"", 'credit_amount': 4716, 'credit_history': ""'critical/other existing credit'"", 'duration': 6, 'employment': ""'<1'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 1, 'job': ""'unskilled resident'"", 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 3, 'savings_status': ""'no known savings'""}",A 44-year-old male German Foreigner is applying for a loan of 4716 credits for 6 months for new car purposes. He has a checking account with 0 Deutsche Mark and no known savings. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 2 credits at this bank. He is employed for less than one years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 3 years.  He owns some real estate property. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
353,female,'no checking',36,'critical/other existing credit',radio/tv,9566,'<100','1<=X<4',2,none,2,car,31,stores,own,2,skilled,1,none,yes,good,"gender is female, checking_status is 'no checking', duration is 36, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 9566, savings_status is '<100', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 2, property_magnitude is car, age is 31, other_payment_plans is stores, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 36
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 9566
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 31
 - other_payment_plans : stores
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 36. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 9566. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 31. The other_payment_plans is stores. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>36</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>9566</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>31</td>
      <td>stores</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 36 & 'critical/other existing credit' & radio/tv & 9566 & '<100' & '1<=X<4' & 2 & none & 2 & car & 31 & stores & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 31, 'checking_status': ""'no checking'"", 'credit_amount': 9566, 'credit_history': ""'critical/other existing credit'"", 'duration': 36, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'stores', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 31-year-old female German Foreigner is applying for a loan of 9566 credits for 36 months for radio or tv purposes. She has no checking account and a savings acccount with less than 100 Deutsche Mark. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has other installment plans with a store and 2 credits at this bank. She is employed for more than one year but less than four years. She has lived in a self-owned house for 2 years.  She owns a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
354,male,'no checking',27,'critical/other existing credit',furniture/equipment,4526,'>=1000','<1',4,none,2,'real estate',32,stores,own,2,'unskilled resident',2,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 27, credit_history is 'critical/other existing credit', purpose is furniture/equipment, credit_amount is 4526, savings_status is '>=1000', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 32, other_payment_plans is stores, housing is own, existing_credits is 2, job is 'unskilled resident', num_dependents is 2, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 27
 - credit_history : 'critical/other existing credit'
 - purpose : furniture/equipment
 - credit_amount : 4526
 - savings_status : '>=1000'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 32
 - other_payment_plans : stores
 - housing : own
 - existing_credits : 2
 - job : 'unskilled resident'
 - num_dependents : 2
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 27. The credit_history is 'critical/other existing credit'. The purpose is furniture/equipment. The credit_amount is 4526. The savings_status is '>=1000'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 32. The other_payment_plans is stores. The housing is own. The existing_credits is 2. The job is 'unskilled resident'. The num_dependents is 2. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>27</td>
      <td>'critical/other existing credit'</td>
      <td>furniture/equipment</td>
      <td>4526</td>
      <td>'&gt;=1000'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>32</td>
      <td>stores</td>
      <td>own</td>
      <td>2</td>
      <td>'unskilled resident'</td>
      <td>2</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 27 & 'critical/other existing credit' & furniture/equipment & 4526 & '>=1000' & '<1' & 4 & none & 2 & 'real estate' & 32 & stores & own & 2 & 'unskilled resident' & 2 & yes & yes \\
\end{tabular}
","{'age': 32, 'checking_status': ""'no checking'"", 'credit_amount': 4526, 'credit_history': ""'critical/other existing credit'"", 'duration': 27, 'employment': ""'<1'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'stores', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': 'furniture/equipment', 'residence_since': 2, 'savings_status': ""'>=1000'""}",A 32-year-old male German Foreigner is applying for a loan of 4526 credits for 27 months for furniture or equipment purposes. He has no checking account and a savings with 1000 Deutsche Mark or more. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a store and 2 credits at this bank. He is employed for less than one years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 2 years.  He owns some real estate property. He owns a telephone and has 2 people that he is liable to provide maintenance for.
355,female,'0<=X<200',30,'existing paid',radio/tv,2991,'no known savings','>=7',2,none,4,car,25,none,own,1,skilled,1,none,yes,good,"gender is female, checking_status is '0<=X<200', duration is 30, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 2991, savings_status is 'no known savings', employment is '>=7', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is car, age is 25, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 30
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 2991
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 25
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 30. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 2991. The savings_status is 'no known savings'. The employment is '>=7'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 25. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>30</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>2991</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>25</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 30 & 'existing paid' & radio/tv & 2991 & 'no known savings' & '>=7' & 2 & none & 4 & car & 25 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 25, 'checking_status': ""'0<=X<200'"", 'credit_amount': 2991, 'credit_history': ""'existing paid'"", 'duration': 30, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 25-year-old female German Foreigner is applying for a loan of 2991 credits for 30 months for radio or tv purposes. She has a checking account with less than 200 Deutsche Mark and no known savings. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has no other installment plans and 1 credits at this bank. She is employed for more than seven years. She has lived in a self-owned house for 4 years.  She owns a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
356,female,'0<=X<200',18,'existing paid',furniture/equipment,3001,'<100','4<=X<7',2,none,4,'real estate',40,none,rent,1,skilled,1,none,yes,good,"gender is female, checking_status is '0<=X<200', duration is 18, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 3001, savings_status is '<100', employment is '4<=X<7', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 40, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 3001
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 40
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 18. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 3001. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 40. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>18</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>3001</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>40</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 18 & 'existing paid' & furniture/equipment & 3001 & '<100' & '4<=X<7' & 2 & none & 4 & 'real estate' & 40 & none & rent & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 40, 'checking_status': ""'0<=X<200'"", 'credit_amount': 3001, 'credit_history': ""'existing paid'"", 'duration': 18, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'<100'""}",A 40-year-old female German Foreigner is applying for a loan of 3001 credits for 18 months for furniture or equipment purposes. She has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has no other installment plans and 1 credits at this bank. She is employed for more than four years but less than seven years. She has lived in a rented apartment for 4 years.  She owns some real estate property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
357,male,'<0',14,'existing paid','new car',8978,'<100','>=7',1,none,4,'life insurance',45,none,own,1,'high qualif/self emp/mgmt',1,yes,no,bad,"gender is male, checking_status is '<0', duration is 14, credit_history is 'existing paid', purpose is 'new car', credit_amount is 8978, savings_status is '<100', employment is '>=7', installment_commitment is 1, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 45, other_payment_plans is none, housing is own, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is no","- gender : male
 - checking_status : '<0'
 - duration : 14
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 8978
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 45
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : no",The gender is male. The checking_status is '<0'. The duration is 14. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 8978. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 1. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 45. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is no,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>14</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>8978</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>1</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>45</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>no</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 14 & 'existing paid' & 'new car' & 8978 & '<100' & '>=7' & 1 & none & 4 & 'life insurance' & 45 & none & own & 1 & 'high qualif/self emp/mgmt' & 1 & yes & no \\
\end{tabular}
","{'age': 45, 'checking_status': ""'<0'"", 'credit_amount': 8978, 'credit_history': ""'existing paid'"", 'duration': 14, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'no', 'gender': 'male', 'housing': 'own', 'installment_commitment': 1, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 45-year-old male German Citizen is applying for a loan of 8978 credits for 14 months for new car purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 4 years.  He owns life insurance property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
358,male,'no checking',36,'existing paid',radio/tv,2299,'500<=X<1000','>=7',4,none,4,car,39,none,own,1,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 36, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 2299, savings_status is '500<=X<1000', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is car, age is 39, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 36
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 2299
 - savings_status : '500<=X<1000'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 39
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 36. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 2299. The savings_status is '500<=X<1000'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 39. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>36</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>2299</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>39</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 36 & 'existing paid' & radio/tv & 2299 & '500<=X<1000' & '>=7' & 4 & none & 4 & car & 39 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 39, 'checking_status': ""'no checking'"", 'credit_amount': 2299, 'credit_history': ""'existing paid'"", 'duration': 36, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'500<=X<1000'""}",A 39-year-old male German Foreigner is applying for a loan of 2299 credits for 36 months for radio or tv purposes. He has no checking account and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 4 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
359,male,'0<=X<200',9,'critical/other existing credit',education,1136,'>=1000','>=7',4,none,3,'no known property',32,none,'for free',2,skilled,2,none,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 9, credit_history is 'critical/other existing credit', purpose is education, credit_amount is 1136, savings_status is '>=1000', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 3, property_magnitude is 'no known property', age is 32, other_payment_plans is none, housing is 'for free', existing_credits is 2, job is skilled, num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 9
 - credit_history : 'critical/other existing credit'
 - purpose : education
 - credit_amount : 1136
 - savings_status : '>=1000'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'no known property'
 - age : 32
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 2
 - job : skilled
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 9. The credit_history is 'critical/other existing credit'. The purpose is education. The credit_amount is 1136. The savings_status is '>=1000'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 3. The property_magnitude is 'no known property'. The age is 32. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 2. The job is skilled. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>9</td>
      <td>'critical/other existing credit'</td>
      <td>education</td>
      <td>1136</td>
      <td>'&gt;=1000'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>'no known property'</td>
      <td>32</td>
      <td>none</td>
      <td>'for free'</td>
      <td>2</td>
      <td>skilled</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 9 & 'critical/other existing credit' & education & 1136 & '>=1000' & '>=7' & 4 & none & 3 & 'no known property' & 32 & none & 'for free' & 2 & skilled & 2 & none & yes \\
\end{tabular}
","{'age': 32, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1136, 'credit_history': ""'critical/other existing credit'"", 'duration': 9, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'no known property'"", 'purpose': 'education', 'residence_since': 3, 'savings_status': ""'>=1000'""}",A 32-year-old male German Foreigner is applying for a loan of 1136 credits for 9 months for education purposes. He has a checking account with less than 200 Deutsche Mark and a savings with 1000 Deutsche Mark or more. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years. He has lived in a free accommodation for 3 years.  He owns no known property. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
360,female,'0<=X<200',9,'critical/other existing credit',education,1501,'<100','>=7',2,none,3,car,34,none,own,2,'high qualif/self emp/mgmt',1,yes,yes,bad,"gender is female, checking_status is '0<=X<200', duration is 9, credit_history is 'critical/other existing credit', purpose is education, credit_amount is 1501, savings_status is '<100', employment is '>=7', installment_commitment is 2, other_parties is none, residence_since is 3, property_magnitude is car, age is 34, other_payment_plans is none, housing is own, existing_credits is 2, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 9
 - credit_history : 'critical/other existing credit'
 - purpose : education
 - credit_amount : 1501
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 3
 - property_magnitude : car
 - age : 34
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 9. The credit_history is 'critical/other existing credit'. The purpose is education. The credit_amount is 1501. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 2. The other_parties is none. The residence_since is 3. The property_magnitude is car. The age is 34. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>9</td>
      <td>'critical/other existing credit'</td>
      <td>education</td>
      <td>1501</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>2</td>
      <td>none</td>
      <td>3</td>
      <td>car</td>
      <td>34</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 9 & 'critical/other existing credit' & education & 1501 & '<100' & '>=7' & 2 & none & 3 & car & 34 & none & own & 2 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 34, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1501, 'credit_history': ""'critical/other existing credit'"", 'duration': 9, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 2, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'education', 'residence_since': 3, 'savings_status': ""'<100'""}",A 34-year-old female German Foreigner is applying for a loan of 1501 credits for 9 months for education purposes. She has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has no other installment plans and 2 credits at this bank. She is employed for more than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. She has lived in a self-owned house for 3 years.  She owns a car. She owns a telephone and has 1 person that she is liable to provide maintenance for.
361,male,'0<=X<200',45,'critical/other existing credit','used car',4576,'100<=X<500',unemployed,3,none,4,car,27,none,own,1,skilled,1,none,yes,good,"gender is male, checking_status is '0<=X<200', duration is 45, credit_history is 'critical/other existing credit', purpose is 'used car', credit_amount is 4576, savings_status is '100<=X<500', employment is unemployed, installment_commitment is 3, other_parties is none, residence_since is 4, property_magnitude is car, age is 27, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 45
 - credit_history : 'critical/other existing credit'
 - purpose : 'used car'
 - credit_amount : 4576
 - savings_status : '100<=X<500'
 - employment : unemployed
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 27
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 45. The credit_history is 'critical/other existing credit'. The purpose is 'used car'. The credit_amount is 4576. The savings_status is '100<=X<500'. The employment is unemployed. The installment_commitment is 3. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 27. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>45</td>
      <td>'critical/other existing credit'</td>
      <td>'used car'</td>
      <td>4576</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>unemployed</td>
      <td>3</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>27</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 45 & 'critical/other existing credit' & 'used car' & 4576 & '100<=X<500' & unemployed & 3 & none & 4 & car & 27 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 27, 'checking_status': ""'0<=X<200'"", 'credit_amount': 4576, 'credit_history': ""'critical/other existing credit'"", 'duration': 45, 'employment': 'unemployed', 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'100<=X<500'""}",A 27-year-old male German Foreigner is applying for a loan of 4576 credits for 45 months for used car purposes. He has a checking account with less than 200 Deutsche Mark and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 1 credits at this bank. He is unemployed. He has lived in a self-owned house for 4 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
362,female,'>=200',15,'existing paid',radio/tv,2327,'<100','<1',2,none,3,'real estate',25,none,own,1,'unskilled resident',1,none,yes,bad,"gender is female, checking_status is '>=200', duration is 15, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 2327, savings_status is '<100', employment is '<1', installment_commitment is 2, other_parties is none, residence_since is 3, property_magnitude is 'real estate', age is 25, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '>=200'
 - duration : 15
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 2327
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'real estate'
 - age : 25
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '>=200'. The duration is 15. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 2327. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 2. The other_parties is none. The residence_since is 3. The property_magnitude is 'real estate'. The age is 25. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&gt;=200'</td>
      <td>15</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>2327</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>2</td>
      <td>none</td>
      <td>3</td>
      <td>'real estate'</td>
      <td>25</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '>=200' & 15 & 'existing paid' & radio/tv & 2327 & '<100' & '<1' & 2 & none & 3 & 'real estate' & 25 & none & own & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 25, 'checking_status': ""'>=200'"", 'credit_amount': 2327, 'credit_history': ""'existing paid'"", 'duration': 15, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 2, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 3, 'savings_status': ""'<100'""}",A 25-year-old female German Foreigner is applying for a loan of 2327 credits for 15 months for radio or tv purposes. She has a checking account with 200 Deutsche Mark or more and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has no other installment plans and 1 credits at this bank. She is employed for less than one years and is recognized as an unskilled resident individual. She has lived in a self-owned house for 3 years.  She owns some real estate property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
363,female,'0<=X<200',24,'existing paid','used car',11560,'<100','1<=X<4',1,none,4,car,23,none,rent,2,'high qualif/self emp/mgmt',1,none,yes,bad,"gender is female, checking_status is '0<=X<200', duration is 24, credit_history is 'existing paid', purpose is 'used car', credit_amount is 11560, savings_status is '<100', employment is '1<=X<4', installment_commitment is 1, other_parties is none, residence_since is 4, property_magnitude is car, age is 23, other_payment_plans is none, housing is rent, existing_credits is 2, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : 'used car'
 - credit_amount : 11560
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 23
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 2
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 24. The credit_history is 'existing paid'. The purpose is 'used car'. The credit_amount is 11560. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 1. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 23. The other_payment_plans is none. The housing is rent. The existing_credits is 2. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>'used car'</td>
      <td>11560</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>1</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>23</td>
      <td>none</td>
      <td>rent</td>
      <td>2</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 24 & 'existing paid' & 'used car' & 11560 & '<100' & '1<=X<4' & 1 & none & 4 & car & 23 & none & rent & 2 & 'high qualif/self emp/mgmt' & 1 & none & yes \\
\end{tabular}
","{'age': 23, 'checking_status': ""'0<=X<200'"", 'credit_amount': 11560, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 1, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 23-year-old female German Foreigner is applying for a loan of 11560 credits for 24 months for used car purposes. She has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. She has no other installment plans and 2 credits at this bank. She is employed for more than one year but less than four years and is recognized as a highly qualified employee or is self employed or has managerial position. She has lived in a rented apartment for 4 years.  She owns a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
364,female,'no checking',12,'critical/other existing credit',education,2748,'<100','>=7',2,none,4,'no known property',57,bank,'for free',3,'unskilled resident',1,none,yes,good,"gender is female, checking_status is 'no checking', duration is 12, credit_history is 'critical/other existing credit', purpose is education, credit_amount is 2748, savings_status is '<100', employment is '>=7', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 57, other_payment_plans is bank, housing is 'for free', existing_credits is 3, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'critical/other existing credit'
 - purpose : education
 - credit_amount : 2748
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 57
 - other_payment_plans : bank
 - housing : 'for free'
 - existing_credits : 3
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 12. The credit_history is 'critical/other existing credit'. The purpose is education. The credit_amount is 2748. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 57. The other_payment_plans is bank. The housing is 'for free'. The existing_credits is 3. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>12</td>
      <td>'critical/other existing credit'</td>
      <td>education</td>
      <td>2748</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>57</td>
      <td>bank</td>
      <td>'for free'</td>
      <td>3</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 12 & 'critical/other existing credit' & education & 2748 & '<100' & '>=7' & 2 & none & 4 & 'no known property' & 57 & bank & 'for free' & 3 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 57, 'checking_status': ""'no checking'"", 'credit_amount': 2748, 'credit_history': ""'critical/other existing credit'"", 'duration': 12, 'employment': ""'>=7'"", 'existing_credits': 3, 'foreign_worker': 'yes', 'gender': 'female', 'housing': ""'for free'"", 'installment_commitment': 2, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': ""'no known property'"", 'purpose': 'education', 'residence_since': 4, 'savings_status': ""'<100'""}",A 57-year-old female German Foreigner is applying for a loan of 2748 credits for 12 months for education purposes. She has no checking account and a savings acccount with less than 100 Deutsche Mark. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has other installment plans with a bank and 3 credits at this bank. She is employed for more than seven years and is recognized as an unskilled resident individual. She has lived in a free accommodation for 4 years.  She owns no known property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
365,male,'no checking',12,'existing paid',education,719,'<100','>=7',4,none,4,car,41,bank,own,1,'unskilled resident',2,none,yes,bad,"gender is male, checking_status is 'no checking', duration is 12, credit_history is 'existing paid', purpose is education, credit_amount is 719, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is car, age is 41, other_payment_plans is bank, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : education
 - credit_amount : 719
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 41
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 12. The credit_history is 'existing paid'. The purpose is education. The credit_amount is 719. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 41. The other_payment_plans is bank. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>education</td>
      <td>719</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>41</td>
      <td>bank</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 12 & 'existing paid' & education & 719 & '<100' & '>=7' & 4 & none & 4 & car & 41 & bank & own & 1 & 'unskilled resident' & 2 & none & yes \\
\end{tabular}
","{'age': 41, 'checking_status': ""'no checking'"", 'credit_amount': 719, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'education', 'residence_since': 4, 'savings_status': ""'<100'""}",A 41-year-old male German Foreigner is applying for a loan of 719 credits for 12 months for education purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a bank and 1 credits at this bank. He is employed for more than seven years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 4 years.  He owns a car. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
366,female,'no checking',30,'critical/other existing credit',radio/tv,4530,'<100','4<=X<7',4,none,4,car,26,none,rent,1,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is female, checking_status is 'no checking', duration is 30, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 4530, savings_status is '<100', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is car, age is 26, other_payment_plans is none, housing is rent, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 30
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 4530
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 26
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 30. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 4530. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 26. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>30</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>4530</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>26</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 30 & 'critical/other existing credit' & radio/tv & 4530 & '<100' & '4<=X<7' & 4 & none & 4 & car & 26 & none & rent & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 26, 'checking_status': ""'no checking'"", 'credit_amount': 4530, 'credit_history': ""'critical/other existing credit'"", 'duration': 30, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'<100'""}",A 26-year-old female German Foreigner is applying for a loan of 4530 credits for 30 months for radio or tv purposes. She has no checking account and a savings acccount with less than 100 Deutsche Mark. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for more than four years but less than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. She has lived in a rented apartment for 4 years.  She owns a car. She owns a telephone and has 1 person that she is liable to provide maintenance for.
367,male,'no checking',48,'critical/other existing credit','new car',10127,'500<=X<1000','1<=X<4',2,none,2,'no known property',44,bank,'for free',1,skilled,1,none,yes,bad,"gender is male, checking_status is 'no checking', duration is 48, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 10127, savings_status is '500<=X<1000', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 2, property_magnitude is 'no known property', age is 44, other_payment_plans is bank, housing is 'for free', existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 48
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 10127
 - savings_status : '500<=X<1000'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'no known property'
 - age : 44
 - other_payment_plans : bank
 - housing : 'for free'
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 48. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 10127. The savings_status is '500<=X<1000'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 2. The property_magnitude is 'no known property'. The age is 44. The other_payment_plans is bank. The housing is 'for free'. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>48</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>10127</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>2</td>
      <td>'no known property'</td>
      <td>44</td>
      <td>bank</td>
      <td>'for free'</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 48 & 'critical/other existing credit' & 'new car' & 10127 & '500<=X<1000' & '1<=X<4' & 2 & none & 2 & 'no known property' & 44 & bank & 'for free' & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 44, 'checking_status': ""'no checking'"", 'credit_amount': 10127, 'credit_history': ""'critical/other existing credit'"", 'duration': 48, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': ""'no known property'"", 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'500<=X<1000'""}",A 44-year-old male German Foreigner is applying for a loan of 10127 credits for 48 months for new car purposes. He has no checking account and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has other installment plans with a bank and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a free accommodation for 2 years.  He owns no known property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
368,female,'<0',21,'existing paid',furniture/equipment,3599,'<100','4<=X<7',1,none,4,car,26,none,rent,1,'unskilled resident',1,none,yes,good,"gender is female, checking_status is '<0', duration is 21, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 3599, savings_status is '<100', employment is '4<=X<7', installment_commitment is 1, other_parties is none, residence_since is 4, property_magnitude is car, age is 26, other_payment_plans is none, housing is rent, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 21
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 3599
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 26
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 21. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 3599. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 1. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 26. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>21</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>3599</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>1</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>26</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 21 & 'existing paid' & furniture/equipment & 3599 & '<100' & '4<=X<7' & 1 & none & 4 & car & 26 & none & rent & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 26, 'checking_status': ""'<0'"", 'credit_amount': 3599, 'credit_history': ""'existing paid'"", 'duration': 21, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 1, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'<100'""}",A 26-year-old female German Foreigner is applying for a loan of 3599 credits for 21 months for furniture or equipment purposes. She has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. She has no other installment plans and 1 credits at this bank. She is employed for more than four years but less than seven years and is recognized as an unskilled resident individual. She has lived in a rented apartment for 4 years.  She owns a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
369,male,'0<=X<200',27,'critical/other existing credit',radio/tv,2520,'500<=X<1000','1<=X<4',4,none,2,'life insurance',23,none,own,2,'unskilled resident',1,none,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 27, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 2520, savings_status is '500<=X<1000', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is 'life insurance', age is 23, other_payment_plans is none, housing is own, existing_credits is 2, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 27
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 2520
 - savings_status : '500<=X<1000'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 23
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 27. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 2520. The savings_status is '500<=X<1000'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 23. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>27</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>2520</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>23</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 27 & 'critical/other existing credit' & radio/tv & 2520 & '500<=X<1000' & '1<=X<4' & 4 & none & 2 & 'life insurance' & 23 & none & own & 2 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 23, 'checking_status': ""'0<=X<200'"", 'credit_amount': 2520, 'credit_history': ""'critical/other existing credit'"", 'duration': 27, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'500<=X<1000'""}",A 23-year-old male German Foreigner is applying for a loan of 2520 credits for 27 months for radio or tv purposes. He has a checking account with less than 200 Deutsche Mark and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than one year but less than four years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 2 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
370,male,'no checking',18,'critical/other existing credit',radio/tv,1582,'>=1000','>=7',4,none,4,car,46,none,own,2,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 18, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 1582, savings_status is '>=1000', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is car, age is 46, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 18
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 1582
 - savings_status : '>=1000'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 46
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 18. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 1582. The savings_status is '>=1000'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 46. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>18</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>1582</td>
      <td>'&gt;=1000'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>46</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 18 & 'critical/other existing credit' & radio/tv & 1582 & '>=1000' & '>=7' & 4 & none & 4 & car & 46 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 46, 'checking_status': ""'no checking'"", 'credit_amount': 1582, 'credit_history': ""'critical/other existing credit'"", 'duration': 18, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'>=1000'""}",A 46-year-old male German Foreigner is applying for a loan of 1582 credits for 18 months for radio or tv purposes. He has no checking account and a savings with 1000 Deutsche Mark or more. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 4 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
371,female,'0<=X<200',18,'existing paid',furniture/equipment,1924,'no known savings','<1',4,none,3,'real estate',27,none,rent,1,skilled,1,none,yes,bad,"gender is female, checking_status is '0<=X<200', duration is 18, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 1924, savings_status is 'no known savings', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 3, property_magnitude is 'real estate', age is 27, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 1924
 - savings_status : 'no known savings'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'real estate'
 - age : 27
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 18. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 1924. The savings_status is 'no known savings'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 3. The property_magnitude is 'real estate'. The age is 27. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>18</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>1924</td>
      <td>'no known savings'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>'real estate'</td>
      <td>27</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 18 & 'existing paid' & furniture/equipment & 1924 & 'no known savings' & '<1' & 4 & none & 3 & 'real estate' & 27 & none & rent & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 27, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1924, 'credit_history': ""'existing paid'"", 'duration': 18, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'furniture/equipment', 'residence_since': 3, 'savings_status': ""'no known savings'""}",A 27-year-old female German Foreigner is applying for a loan of 1924 credits for 18 months for furniture or equipment purposes. She has a checking account with less than 200 Deutsche Mark and no known savings. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for less than one years. She has lived in a rented apartment for 3 years.  She owns some real estate property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
372,male,'no checking',22,'existing paid',radio/tv,2675,'500<=X<1000','>=7',3,none,4,car,40,none,own,1,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 22, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 2675, savings_status is '500<=X<1000', employment is '>=7', installment_commitment is 3, other_parties is none, residence_since is 4, property_magnitude is car, age is 40, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 22
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 2675
 - savings_status : '500<=X<1000'
 - employment : '>=7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 40
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 22. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 2675. The savings_status is '500<=X<1000'. The employment is '>=7'. The installment_commitment is 3. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 40. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>22</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>2675</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>'&gt;=7'</td>
      <td>3</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>40</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 22 & 'existing paid' & radio/tv & 2675 & '500<=X<1000' & '>=7' & 3 & none & 4 & car & 40 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 40, 'checking_status': ""'no checking'"", 'credit_amount': 2675, 'credit_history': ""'existing paid'"", 'duration': 22, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'500<=X<1000'""}",A 40-year-old male German Foreigner is applying for a loan of 2675 credits for 22 months for radio or tv purposes. He has no checking account and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 4 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
373,male,'0<=X<200',24,'delayed previously',furniture/equipment,2333,'no known savings','<1',4,none,2,'life insurance',29,bank,own,1,'unskilled resident',1,none,yes,good,"gender is male, checking_status is '0<=X<200', duration is 24, credit_history is 'delayed previously', purpose is furniture/equipment, credit_amount is 2333, savings_status is 'no known savings', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is 'life insurance', age is 29, other_payment_plans is bank, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 24
 - credit_history : 'delayed previously'
 - purpose : furniture/equipment
 - credit_amount : 2333
 - savings_status : 'no known savings'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 29
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 24. The credit_history is 'delayed previously'. The purpose is furniture/equipment. The credit_amount is 2333. The savings_status is 'no known savings'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 29. The other_payment_plans is bank. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>24</td>
      <td>'delayed previously'</td>
      <td>furniture/equipment</td>
      <td>2333</td>
      <td>'no known savings'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>29</td>
      <td>bank</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 24 & 'delayed previously' & furniture/equipment & 2333 & 'no known savings' & '<1' & 4 & none & 2 & 'life insurance' & 29 & bank & own & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 29, 'checking_status': ""'0<=X<200'"", 'credit_amount': 2333, 'credit_history': ""'delayed previously'"", 'duration': 24, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 2, 'savings_status': ""'no known savings'""}",A 29-year-old male German Foreigner is applying for a loan of 2333 credits for 24 months for furniture or equipment purposes. He has a checking account with less than 200 Deutsche Mark and no known savings. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a bank and 1 credits at this bank. He is employed for less than one years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 2 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
374,male,'<0',12,'no credits/all paid',radio/tv,6199,'<100','1<=X<4',4,none,2,'life insurance',28,none,rent,2,skilled,1,yes,yes,bad,"gender is male, checking_status is '<0', duration is 12, credit_history is 'no credits/all paid', purpose is radio/tv, credit_amount is 6199, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is 'life insurance', age is 28, other_payment_plans is none, housing is rent, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 12
 - credit_history : 'no credits/all paid'
 - purpose : radio/tv
 - credit_amount : 6199
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 28
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 12. The credit_history is 'no credits/all paid'. The purpose is radio/tv. The credit_amount is 6199. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 28. The other_payment_plans is none. The housing is rent. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>12</td>
      <td>'no credits/all paid'</td>
      <td>radio/tv</td>
      <td>6199</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>28</td>
      <td>none</td>
      <td>rent</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 12 & 'no credits/all paid' & radio/tv & 6199 & '<100' & '1<=X<4' & 4 & none & 2 & 'life insurance' & 28 & none & rent & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 28, 'checking_status': ""'<0'"", 'credit_amount': 6199, 'credit_history': ""'no credits/all paid'"", 'duration': 12, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 28-year-old male German Foreigner is applying for a loan of 6199 credits for 12 months for radio or tv purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He did not take any credits at this bank or has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than one year but less than four years. He has lived in a rented apartment for 2 years.  He owns life insurance property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
375,male,'<0',48,'existing paid','used car',10297,'<100','4<=X<7',4,none,4,'no known property',39,stores,'for free',3,skilled,2,yes,yes,bad,"gender is male, checking_status is '<0', duration is 48, credit_history is 'existing paid', purpose is 'used car', credit_amount is 10297, savings_status is '<100', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 39, other_payment_plans is stores, housing is 'for free', existing_credits is 3, job is skilled, num_dependents is 2, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 48
 - credit_history : 'existing paid'
 - purpose : 'used car'
 - credit_amount : 10297
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 39
 - other_payment_plans : stores
 - housing : 'for free'
 - existing_credits : 3
 - job : skilled
 - num_dependents : 2
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 48. The credit_history is 'existing paid'. The purpose is 'used car'. The credit_amount is 10297. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 39. The other_payment_plans is stores. The housing is 'for free'. The existing_credits is 3. The job is skilled. The num_dependents is 2. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>48</td>
      <td>'existing paid'</td>
      <td>'used car'</td>
      <td>10297</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>39</td>
      <td>stores</td>
      <td>'for free'</td>
      <td>3</td>
      <td>skilled</td>
      <td>2</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 48 & 'existing paid' & 'used car' & 10297 & '<100' & '4<=X<7' & 4 & none & 4 & 'no known property' & 39 & stores & 'for free' & 3 & skilled & 2 & yes & yes \\
\end{tabular}
","{'age': 39, 'checking_status': ""'<0'"", 'credit_amount': 10297, 'credit_history': ""'existing paid'"", 'duration': 48, 'employment': ""'4<=X<7'"", 'existing_credits': 3, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'stores', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 39-year-old male German Foreigner is applying for a loan of 10297 credits for 48 months for used car purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a store and 3 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a free accommodation for 4 years.  He owns no known property. He owns a telephone and has 2 people that he is liable to provide maintenance for.
376,male,'<0',27,'existing paid',radio/tv,3416,'<100','1<=X<4',3,none,2,car,27,none,own,1,'high qualif/self emp/mgmt',1,none,yes,good,"gender is male, checking_status is '<0', duration is 27, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 3416, savings_status is '<100', employment is '1<=X<4', installment_commitment is 3, other_parties is none, residence_since is 2, property_magnitude is car, age is 27, other_payment_plans is none, housing is own, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 27
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 3416
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 27
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 27. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 3416. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 3. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 27. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>27</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>3416</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>3</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>27</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 27 & 'existing paid' & radio/tv & 3416 & '<100' & '1<=X<4' & 3 & none & 2 & car & 27 & none & own & 1 & 'high qualif/self emp/mgmt' & 1 & none & yes \\
\end{tabular}
","{'age': 27, 'checking_status': ""'<0'"", 'credit_amount': 3416, 'credit_history': ""'existing paid'"", 'duration': 27, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 27-year-old male German Foreigner is applying for a loan of 3416 credits for 27 months for radio or tv purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 2 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
377,male,'0<=X<200',24,'existing paid',radio/tv,3092,'100<=X<500','<1',3,none,2,car,22,none,rent,1,skilled,1,yes,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 24, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 3092, savings_status is '100<=X<500', employment is '<1', installment_commitment is 3, other_parties is none, residence_since is 2, property_magnitude is car, age is 22, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 3092
 - savings_status : '100<=X<500'
 - employment : '<1'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 22
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 24. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 3092. The savings_status is '100<=X<500'. The employment is '<1'. The installment_commitment is 3. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 22. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>3092</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'&lt;1'</td>
      <td>3</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>22</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 24 & 'existing paid' & radio/tv & 3092 & '100<=X<500' & '<1' & 3 & none & 2 & car & 22 & none & rent & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 22, 'checking_status': ""'0<=X<200'"", 'credit_amount': 3092, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'100<=X<500'""}",A 22-year-old male German Foreigner is applying for a loan of 3092 credits for 24 months for radio or tv purposes. He has a checking account with less than 200 Deutsche Mark and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 1 credits at this bank. He is employed for less than one years. He has lived in a rented apartment for 2 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
378,female,'no checking',24,'critical/other existing credit',radio/tv,1516,'>=1000','1<=X<4',4,none,1,'real estate',43,none,own,2,'unskilled resident',1,none,yes,good,"gender is female, checking_status is 'no checking', duration is 24, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 1516, savings_status is '>=1000', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 1, property_magnitude is 'real estate', age is 43, other_payment_plans is none, housing is own, existing_credits is 2, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 1516
 - savings_status : '>=1000'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'real estate'
 - age : 43
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 24. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 1516. The savings_status is '>=1000'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 1. The property_magnitude is 'real estate'. The age is 43. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>1516</td>
      <td>'&gt;=1000'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>1</td>
      <td>'real estate'</td>
      <td>43</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 24 & 'critical/other existing credit' & radio/tv & 1516 & '>=1000' & '1<=X<4' & 4 & none & 1 & 'real estate' & 43 & none & own & 2 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 43, 'checking_status': ""'no checking'"", 'credit_amount': 1516, 'credit_history': ""'critical/other existing credit'"", 'duration': 24, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 1, 'savings_status': ""'>=1000'""}",A 43-year-old female German Foreigner is applying for a loan of 1516 credits for 24 months for radio or tv purposes. She has no checking account and a savings with 1000 Deutsche Mark or more. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 2 credits at this bank. She is employed for more than one year but less than four years and is recognized as an unskilled resident individual. She has lived in a self-owned house for 1 years.  She owns some real estate property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
379,male,'no checking',15,'existing paid',radio/tv,1979,'no known savings','>=7',4,none,2,car,35,none,own,1,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 15, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1979, savings_status is 'no known savings', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is car, age is 35, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 15
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1979
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 35
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 15. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1979. The savings_status is 'no known savings'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 35. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>15</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1979</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>35</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 15 & 'existing paid' & radio/tv & 1979 & 'no known savings' & '>=7' & 4 & none & 2 & car & 35 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 35, 'checking_status': ""'no checking'"", 'credit_amount': 1979, 'credit_history': ""'existing paid'"", 'duration': 15, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'no known savings'""}",A 35-year-old male German Foreigner is applying for a loan of 1979 credits for 15 months for radio or tv purposes. He has no checking account and no known savings. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 2 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
380,male,'0<=X<200',30,'critical/other existing credit','new car',4249,'<100',unemployed,4,none,2,car,28,none,own,2,'high qualif/self emp/mgmt',1,none,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 30, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 4249, savings_status is '<100', employment is unemployed, installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is car, age is 28, other_payment_plans is none, housing is own, existing_credits is 2, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 30
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 4249
 - savings_status : '<100'
 - employment : unemployed
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 28
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 30. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 4249. The savings_status is '<100'. The employment is unemployed. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 28. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>30</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>4249</td>
      <td>'&lt;100'</td>
      <td>unemployed</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>28</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 30 & 'critical/other existing credit' & 'new car' & 4249 & '<100' & unemployed & 4 & none & 2 & car & 28 & none & own & 2 & 'high qualif/self emp/mgmt' & 1 & none & yes \\
\end{tabular}
","{'age': 28, 'checking_status': ""'0<=X<200'"", 'credit_amount': 4249, 'credit_history': ""'critical/other existing credit'"", 'duration': 30, 'employment': 'unemployed', 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'<100'""}",A 28-year-old male German Foreigner is applying for a loan of 4249 credits for 30 months for new car purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is unemployed and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 2 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
381,male,'no checking',24,'existing paid',radio/tv,3430,'500<=X<1000','>=7',3,none,2,car,31,none,own,1,skilled,2,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 3430, savings_status is '500<=X<1000', employment is '>=7', installment_commitment is 3, other_parties is none, residence_since is 2, property_magnitude is car, age is 31, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 2, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 3430
 - savings_status : '500<=X<1000'
 - employment : '>=7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 31
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 2
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 24. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 3430. The savings_status is '500<=X<1000'. The employment is '>=7'. The installment_commitment is 3. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 31. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 2. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>3430</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>'&gt;=7'</td>
      <td>3</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>31</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>2</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 24 & 'existing paid' & radio/tv & 3430 & '500<=X<1000' & '>=7' & 3 & none & 2 & car & 31 & none & own & 1 & skilled & 2 & yes & yes \\
\end{tabular}
","{'age': 31, 'checking_status': ""'no checking'"", 'credit_amount': 3430, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'500<=X<1000'""}",A 31-year-old male German Foreigner is applying for a loan of 3430 credits for 24 months for radio or tv purposes. He has no checking account and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 2 years.  He owns a car. He owns a telephone and has 2 people that he is liable to provide maintenance for.
382,female,'0<=X<200',15,'no credits/all paid','new car',1778,'<100','<1',2,none,1,'real estate',26,none,rent,2,'unemp/unskilled non res',1,none,yes,bad,"gender is female, checking_status is '0<=X<200', duration is 15, credit_history is 'no credits/all paid', purpose is 'new car', credit_amount is 1778, savings_status is '<100', employment is '<1', installment_commitment is 2, other_parties is none, residence_since is 1, property_magnitude is 'real estate', age is 26, other_payment_plans is none, housing is rent, existing_credits is 2, job is 'unemp/unskilled non res', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 15
 - credit_history : 'no credits/all paid'
 - purpose : 'new car'
 - credit_amount : 1778
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'real estate'
 - age : 26
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 2
 - job : 'unemp/unskilled non res'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 15. The credit_history is 'no credits/all paid'. The purpose is 'new car'. The credit_amount is 1778. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 2. The other_parties is none. The residence_since is 1. The property_magnitude is 'real estate'. The age is 26. The other_payment_plans is none. The housing is rent. The existing_credits is 2. The job is 'unemp/unskilled non res'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>15</td>
      <td>'no credits/all paid'</td>
      <td>'new car'</td>
      <td>1778</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>2</td>
      <td>none</td>
      <td>1</td>
      <td>'real estate'</td>
      <td>26</td>
      <td>none</td>
      <td>rent</td>
      <td>2</td>
      <td>'unemp/unskilled non res'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 15 & 'no credits/all paid' & 'new car' & 1778 & '<100' & '<1' & 2 & none & 1 & 'real estate' & 26 & none & rent & 2 & 'unemp/unskilled non res' & 1 & none & yes \\
\end{tabular}
","{'age': 26, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1778, 'credit_history': ""'no credits/all paid'"", 'duration': 15, 'employment': ""'<1'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 2, 'job': ""'unemp/unskilled non res'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 1, 'savings_status': ""'<100'""}",A 26-year-old female German Foreigner is applying for a loan of 1778 credits for 15 months for new car purposes. She has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She did not take any credits at this bank or has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has no other installment plans and 2 credits at this bank. She is employed for less than one years and is recognized as an unemployed or unskilled non-resident individual. She has lived in a rented apartment for 1 years.  She owns some real estate property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
383,female,'0<=X<200',21,'existing paid',business,1188,'<100','>=7',2,none,4,'life insurance',39,none,own,1,skilled,2,none,yes,bad,"gender is female, checking_status is '0<=X<200', duration is 21, credit_history is 'existing paid', purpose is business, credit_amount is 1188, savings_status is '<100', employment is '>=7', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 39, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 21
 - credit_history : 'existing paid'
 - purpose : business
 - credit_amount : 1188
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 39
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 21. The credit_history is 'existing paid'. The purpose is business. The credit_amount is 1188. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 39. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>21</td>
      <td>'existing paid'</td>
      <td>business</td>
      <td>1188</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>39</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 21 & 'existing paid' & business & 1188 & '<100' & '>=7' & 2 & none & 4 & 'life insurance' & 39 & none & own & 1 & skilled & 2 & none & yes \\
\end{tabular}
","{'age': 39, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1188, 'credit_history': ""'existing paid'"", 'duration': 21, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'business', 'residence_since': 4, 'savings_status': ""'<100'""}",A 39-year-old female German Foreigner is applying for a loan of 1188 credits for 21 months for business purposes. She has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has no other installment plans and 1 credits at this bank. She is employed for more than seven years. She has lived in a self-owned house for 4 years.  She owns life insurance property. She does not own a telephone and has 2 people that she is liable to provide maintenance for.
384,male,'0<=X<200',42,'all paid','used car',9283,'<100',unemployed,1,none,2,'no known property',55,bank,'for free',1,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is male, checking_status is '0<=X<200', duration is 42, credit_history is 'all paid', purpose is 'used car', credit_amount is 9283, savings_status is '<100', employment is unemployed, installment_commitment is 1, other_parties is none, residence_since is 2, property_magnitude is 'no known property', age is 55, other_payment_plans is bank, housing is 'for free', existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 42
 - credit_history : 'all paid'
 - purpose : 'used car'
 - credit_amount : 9283
 - savings_status : '<100'
 - employment : unemployed
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'no known property'
 - age : 55
 - other_payment_plans : bank
 - housing : 'for free'
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 42. The credit_history is 'all paid'. The purpose is 'used car'. The credit_amount is 9283. The savings_status is '<100'. The employment is unemployed. The installment_commitment is 1. The other_parties is none. The residence_since is 2. The property_magnitude is 'no known property'. The age is 55. The other_payment_plans is bank. The housing is 'for free'. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>42</td>
      <td>'all paid'</td>
      <td>'used car'</td>
      <td>9283</td>
      <td>'&lt;100'</td>
      <td>unemployed</td>
      <td>1</td>
      <td>none</td>
      <td>2</td>
      <td>'no known property'</td>
      <td>55</td>
      <td>bank</td>
      <td>'for free'</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 42 & 'all paid' & 'used car' & 9283 & '<100' & unemployed & 1 & none & 2 & 'no known property' & 55 & bank & 'for free' & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 55, 'checking_status': ""'0<=X<200'"", 'credit_amount': 9283, 'credit_history': ""'all paid'"", 'duration': 42, 'employment': 'unemployed', 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 1, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': ""'used car'"", 'residence_since': 2, 'savings_status': ""'<100'""}",A 55-year-old male German Foreigner is applying for a loan of 9283 credits for 42 months for used car purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has other installment plans with a bank and 1 credits at this bank. He is unemployed and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a free accommodation for 2 years.  He owns no known property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
385,male,'<0',15,'existing paid',radio/tv,1053,'<100','<1',4,none,2,'real estate',27,none,own,1,skilled,1,none,no,good,"gender is male, checking_status is '<0', duration is 15, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1053, savings_status is '<100', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 27, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is no","- gender : male
 - checking_status : '<0'
 - duration : 15
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1053
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 27
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : no",The gender is male. The checking_status is '<0'. The duration is 15. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1053. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 27. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is no,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>15</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1053</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>27</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>no</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 15 & 'existing paid' & radio/tv & 1053 & '<100' & '<1' & 4 & none & 2 & 'real estate' & 27 & none & own & 1 & skilled & 1 & none & no \\
\end{tabular}
","{'age': 27, 'checking_status': ""'<0'"", 'credit_amount': 1053, 'credit_history': ""'existing paid'"", 'duration': 15, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'no', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 27-year-old male German Citizen is applying for a loan of 1053 credits for 15 months for radio or tv purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for less than one years. He has lived in a self-owned house for 2 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
386,female,'0<=X<200',18,'critical/other existing credit',furniture/equipment,3612,'<100','>=7',3,none,4,'life insurance',37,none,own,1,skilled,1,yes,yes,good,"gender is female, checking_status is '0<=X<200', duration is 18, credit_history is 'critical/other existing credit', purpose is furniture/equipment, credit_amount is 3612, savings_status is '<100', employment is '>=7', installment_commitment is 3, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 37, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 18
 - credit_history : 'critical/other existing credit'
 - purpose : furniture/equipment
 - credit_amount : 3612
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 37
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 18. The credit_history is 'critical/other existing credit'. The purpose is furniture/equipment. The credit_amount is 3612. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 3. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 37. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>18</td>
      <td>'critical/other existing credit'</td>
      <td>furniture/equipment</td>
      <td>3612</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>3</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>37</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 18 & 'critical/other existing credit' & furniture/equipment & 3612 & '<100' & '>=7' & 3 & none & 4 & 'life insurance' & 37 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 37, 'checking_status': ""'0<=X<200'"", 'credit_amount': 3612, 'credit_history': ""'critical/other existing credit'"", 'duration': 18, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'<100'""}",A 37-year-old female German Foreigner is applying for a loan of 3612 credits for 18 months for furniture or equipment purposes. She has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. She has no other installment plans and 1 credits at this bank. She is employed for more than seven years. She has lived in a self-owned house for 4 years.  She owns life insurance property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
387,male,'0<=X<200',21,'critical/other existing credit',business,3652,'<100','4<=X<7',2,none,3,'life insurance',27,none,own,2,skilled,1,none,yes,good,"gender is male, checking_status is '0<=X<200', duration is 21, credit_history is 'critical/other existing credit', purpose is business, credit_amount is 3652, savings_status is '<100', employment is '4<=X<7', installment_commitment is 2, other_parties is none, residence_since is 3, property_magnitude is 'life insurance', age is 27, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 21
 - credit_history : 'critical/other existing credit'
 - purpose : business
 - credit_amount : 3652
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'life insurance'
 - age : 27
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 21. The credit_history is 'critical/other existing credit'. The purpose is business. The credit_amount is 3652. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 2. The other_parties is none. The residence_since is 3. The property_magnitude is 'life insurance'. The age is 27. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>21</td>
      <td>'critical/other existing credit'</td>
      <td>business</td>
      <td>3652</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>2</td>
      <td>none</td>
      <td>3</td>
      <td>'life insurance'</td>
      <td>27</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 21 & 'critical/other existing credit' & business & 3652 & '<100' & '4<=X<7' & 2 & none & 3 & 'life insurance' & 27 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 27, 'checking_status': ""'0<=X<200'"", 'credit_amount': 3652, 'credit_history': ""'critical/other existing credit'"", 'duration': 21, 'employment': ""'4<=X<7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'business', 'residence_since': 3, 'savings_status': ""'<100'""}",A 27-year-old male German Foreigner is applying for a loan of 3652 credits for 21 months for business purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 2 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 3 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
388,male,'>=200',10,'existing paid','domestic appliance',1225,'<100','1<=X<4',2,none,2,car,37,none,own,1,skilled,1,yes,yes,good,"gender is male, checking_status is '>=200', duration is 10, credit_history is 'existing paid', purpose is 'domestic appliance', credit_amount is 1225, savings_status is '<100', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 2, property_magnitude is car, age is 37, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '>=200'
 - duration : 10
 - credit_history : 'existing paid'
 - purpose : 'domestic appliance'
 - credit_amount : 1225
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 37
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '>=200'. The duration is 10. The credit_history is 'existing paid'. The purpose is 'domestic appliance'. The credit_amount is 1225. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 37. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&gt;=200'</td>
      <td>10</td>
      <td>'existing paid'</td>
      <td>'domestic appliance'</td>
      <td>1225</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>37</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '>=200' & 10 & 'existing paid' & 'domestic appliance' & 1225 & '<100' & '1<=X<4' & 2 & none & 2 & car & 37 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 37, 'checking_status': ""'>=200'"", 'credit_amount': 1225, 'credit_history': ""'existing paid'"", 'duration': 10, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': ""'domestic appliance'"", 'residence_since': 2, 'savings_status': ""'<100'""}",A 37-year-old male German Foreigner is applying for a loan of 1225 credits for 10 months for domestic appliance purposes. He has a checking account with 200 Deutsche Mark or more and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 2 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
389,female,'no checking',30,'all paid','used car',7485,'no known savings',unemployed,4,none,1,'real estate',53,bank,own,1,'high qualif/self emp/mgmt',1,yes,yes,bad,"gender is female, checking_status is 'no checking', duration is 30, credit_history is 'all paid', purpose is 'used car', credit_amount is 7485, savings_status is 'no known savings', employment is unemployed, installment_commitment is 4, other_parties is none, residence_since is 1, property_magnitude is 'real estate', age is 53, other_payment_plans is bank, housing is own, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 30
 - credit_history : 'all paid'
 - purpose : 'used car'
 - credit_amount : 7485
 - savings_status : 'no known savings'
 - employment : unemployed
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'real estate'
 - age : 53
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 30. The credit_history is 'all paid'. The purpose is 'used car'. The credit_amount is 7485. The savings_status is 'no known savings'. The employment is unemployed. The installment_commitment is 4. The other_parties is none. The residence_since is 1. The property_magnitude is 'real estate'. The age is 53. The other_payment_plans is bank. The housing is own. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>30</td>
      <td>'all paid'</td>
      <td>'used car'</td>
      <td>7485</td>
      <td>'no known savings'</td>
      <td>unemployed</td>
      <td>4</td>
      <td>none</td>
      <td>1</td>
      <td>'real estate'</td>
      <td>53</td>
      <td>bank</td>
      <td>own</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 30 & 'all paid' & 'used car' & 7485 & 'no known savings' & unemployed & 4 & none & 1 & 'real estate' & 53 & bank & own & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 53, 'checking_status': ""'no checking'"", 'credit_amount': 7485, 'credit_history': ""'all paid'"", 'duration': 30, 'employment': 'unemployed', 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': ""'used car'"", 'residence_since': 1, 'savings_status': ""'no known savings'""}",A 53-year-old female German Foreigner is applying for a loan of 7485 credits for 30 months for used car purposes. She has no checking account and no known savings. She has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has other installment plans with a bank and 1 credits at this bank. She is unemployed and is recognized as a highly qualified employee or is self employed or has managerial position. She has lived in a self-owned house for 1 years.  She owns some real estate property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
390,male,'no checking',24,'existing paid',business,1258,'<100','4<=X<7',4,none,1,'real estate',25,none,own,1,skilled,1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'existing paid', purpose is business, credit_amount is 1258, savings_status is '<100', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 1, property_magnitude is 'real estate', age is 25, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : business
 - credit_amount : 1258
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'real estate'
 - age : 25
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 24. The credit_history is 'existing paid'. The purpose is business. The credit_amount is 1258. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is none. The residence_since is 1. The property_magnitude is 'real estate'. The age is 25. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>business</td>
      <td>1258</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>1</td>
      <td>'real estate'</td>
      <td>25</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 24 & 'existing paid' & business & 1258 & '<100' & '4<=X<7' & 4 & none & 1 & 'real estate' & 25 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 25, 'checking_status': ""'no checking'"", 'credit_amount': 1258, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': 'business', 'residence_since': 1, 'savings_status': ""'<100'""}",A 25-year-old male German Foreigner is applying for a loan of 1258 credits for 24 months for business purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 1 years.  He owns some real estate property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
391,male,'<0',36,'existing paid','used car',8335,'no known savings','>=7',3,none,4,'no known property',47,none,'for free',1,skilled,1,none,yes,bad,"gender is male, checking_status is '<0', duration is 36, credit_history is 'existing paid', purpose is 'used car', credit_amount is 8335, savings_status is 'no known savings', employment is '>=7', installment_commitment is 3, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 47, other_payment_plans is none, housing is 'for free', existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 36
 - credit_history : 'existing paid'
 - purpose : 'used car'
 - credit_amount : 8335
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 47
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 36. The credit_history is 'existing paid'. The purpose is 'used car'. The credit_amount is 8335. The savings_status is 'no known savings'. The employment is '>=7'. The installment_commitment is 3. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 47. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>36</td>
      <td>'existing paid'</td>
      <td>'used car'</td>
      <td>8335</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>3</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>47</td>
      <td>none</td>
      <td>'for free'</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 36 & 'existing paid' & 'used car' & 8335 & 'no known savings' & '>=7' & 3 & none & 4 & 'no known property' & 47 & none & 'for free' & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 47, 'checking_status': ""'<0'"", 'credit_amount': 8335, 'credit_history': ""'existing paid'"", 'duration': 36, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'no known property'"", 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 47-year-old male German Foreigner is applying for a loan of 8335 credits for 36 months for used car purposes. He has a checking account with 0 Deutsche Mark and no known savings. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years. He has lived in a free accommodation for 4 years.  He owns no known property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
392,female,'no checking',48,'all paid',business,3609,'<100','1<=X<4',1,none,1,'real estate',27,stores,own,1,skilled,1,none,yes,good,"gender is female, checking_status is 'no checking', duration is 48, credit_history is 'all paid', purpose is business, credit_amount is 3609, savings_status is '<100', employment is '1<=X<4', installment_commitment is 1, other_parties is none, residence_since is 1, property_magnitude is 'real estate', age is 27, other_payment_plans is stores, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 48
 - credit_history : 'all paid'
 - purpose : business
 - credit_amount : 3609
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'real estate'
 - age : 27
 - other_payment_plans : stores
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 48. The credit_history is 'all paid'. The purpose is business. The credit_amount is 3609. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 1. The other_parties is none. The residence_since is 1. The property_magnitude is 'real estate'. The age is 27. The other_payment_plans is stores. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>48</td>
      <td>'all paid'</td>
      <td>business</td>
      <td>3609</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>1</td>
      <td>none</td>
      <td>1</td>
      <td>'real estate'</td>
      <td>27</td>
      <td>stores</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 48 & 'all paid' & business & 3609 & '<100' & '1<=X<4' & 1 & none & 1 & 'real estate' & 27 & stores & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 27, 'checking_status': ""'no checking'"", 'credit_amount': 3609, 'credit_history': ""'all paid'"", 'duration': 48, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'stores', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'business', 'residence_since': 1, 'savings_status': ""'<100'""}",A 27-year-old female German Foreigner is applying for a loan of 3609 credits for 48 months for business purposes. She has no checking account and a savings acccount with less than 100 Deutsche Mark. She has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. She has other installment plans with a store and 1 credits at this bank. She is employed for more than one year but less than four years. She has lived in a self-owned house for 1 years.  She owns some real estate property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
393,male,'no checking',12,'delayed previously',repairs,1555,'>=1000','>=7',4,none,4,'no known property',55,none,'for free',2,skilled,2,none,yes,bad,"gender is male, checking_status is 'no checking', duration is 12, credit_history is 'delayed previously', purpose is repairs, credit_amount is 1555, savings_status is '>=1000', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 55, other_payment_plans is none, housing is 'for free', existing_credits is 2, job is skilled, num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'delayed previously'
 - purpose : repairs
 - credit_amount : 1555
 - savings_status : '>=1000'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 55
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 2
 - job : skilled
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 12. The credit_history is 'delayed previously'. The purpose is repairs. The credit_amount is 1555. The savings_status is '>=1000'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 55. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 2. The job is skilled. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>12</td>
      <td>'delayed previously'</td>
      <td>repairs</td>
      <td>1555</td>
      <td>'&gt;=1000'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>55</td>
      <td>none</td>
      <td>'for free'</td>
      <td>2</td>
      <td>skilled</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 12 & 'delayed previously' & repairs & 1555 & '>=1000' & '>=7' & 4 & none & 4 & 'no known property' & 55 & none & 'for free' & 2 & skilled & 2 & none & yes \\
\end{tabular}
","{'age': 55, 'checking_status': ""'no checking'"", 'credit_amount': 1555, 'credit_history': ""'delayed previously'"", 'duration': 12, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'no known property'"", 'purpose': 'repairs', 'residence_since': 4, 'savings_status': ""'>=1000'""}",A 55-year-old male German Foreigner is applying for a loan of 1555 credits for 12 months for repairs purposes. He has no checking account and a savings with 1000 Deutsche Mark or more. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years. He has lived in a free accommodation for 4 years.  He owns no known property. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
394,female,'<0',15,'existing paid','new car',3959,'<100','1<=X<4',3,none,2,'life insurance',29,none,own,1,skilled,1,yes,yes,bad,"gender is female, checking_status is '<0', duration is 15, credit_history is 'existing paid', purpose is 'new car', credit_amount is 3959, savings_status is '<100', employment is '1<=X<4', installment_commitment is 3, other_parties is none, residence_since is 2, property_magnitude is 'life insurance', age is 29, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 15
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 3959
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 29
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 15. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 3959. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 3. The other_parties is none. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 29. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>15</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>3959</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>3</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>29</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 15 & 'existing paid' & 'new car' & 3959 & '<100' & '1<=X<4' & 3 & none & 2 & 'life insurance' & 29 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 29, 'checking_status': ""'<0'"", 'credit_amount': 3959, 'credit_history': ""'existing paid'"", 'duration': 15, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'<100'""}",A 29-year-old female German Foreigner is applying for a loan of 3959 credits for 15 months for new car purposes. She has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. She has no other installment plans and 1 credits at this bank. She is employed for more than one year but less than four years. She has lived in a self-owned house for 2 years.  She owns life insurance property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
395,male,'0<=X<200',24,'delayed previously',business,6967,'100<=X<500','4<=X<7',4,none,4,car,36,none,rent,1,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is male, checking_status is '0<=X<200', duration is 24, credit_history is 'delayed previously', purpose is business, credit_amount is 6967, savings_status is '100<=X<500', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is car, age is 36, other_payment_plans is none, housing is rent, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 24
 - credit_history : 'delayed previously'
 - purpose : business
 - credit_amount : 6967
 - savings_status : '100<=X<500'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 36
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 24. The credit_history is 'delayed previously'. The purpose is business. The credit_amount is 6967. The savings_status is '100<=X<500'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 36. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>24</td>
      <td>'delayed previously'</td>
      <td>business</td>
      <td>6967</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>36</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 24 & 'delayed previously' & business & 6967 & '100<=X<500' & '4<=X<7' & 4 & none & 4 & car & 36 & none & rent & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 36, 'checking_status': ""'0<=X<200'"", 'credit_amount': 6967, 'credit_history': ""'delayed previously'"", 'duration': 24, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'business', 'residence_since': 4, 'savings_status': ""'100<=X<500'""}",A 36-year-old male German Foreigner is applying for a loan of 6967 credits for 24 months for business purposes. He has a checking account with less than 200 Deutsche Mark and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than four years but less than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a rented apartment for 4 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
396,male,'0<=X<200',48,'delayed previously',other,7582,'100<=X<500',unemployed,2,none,4,'no known property',31,none,'for free',1,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is male, checking_status is '0<=X<200', duration is 48, credit_history is 'delayed previously', purpose is other, credit_amount is 7582, savings_status is '100<=X<500', employment is unemployed, installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 31, other_payment_plans is none, housing is 'for free', existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 48
 - credit_history : 'delayed previously'
 - purpose : other
 - credit_amount : 7582
 - savings_status : '100<=X<500'
 - employment : unemployed
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 31
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 48. The credit_history is 'delayed previously'. The purpose is other. The credit_amount is 7582. The savings_status is '100<=X<500'. The employment is unemployed. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 31. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>48</td>
      <td>'delayed previously'</td>
      <td>other</td>
      <td>7582</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>unemployed</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>31</td>
      <td>none</td>
      <td>'for free'</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 48 & 'delayed previously' & other & 7582 & '100<=X<500' & unemployed & 2 & none & 4 & 'no known property' & 31 & none & 'for free' & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 31, 'checking_status': ""'0<=X<200'"", 'credit_amount': 7582, 'credit_history': ""'delayed previously'"", 'duration': 48, 'employment': 'unemployed', 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 2, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': 'other', 'residence_since': 4, 'savings_status': ""'100<=X<500'""}",A 31-year-old male German Foreigner is applying for a loan of 7582 credits for 48 months for other purposes. He has a checking account with less than 200 Deutsche Mark and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is unemployed and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a free accommodation for 4 years.  He owns no known property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
397,female,'0<=X<200',24,'all paid',education,1837,'<100','4<=X<7',4,none,4,'no known property',34,bank,'for free',1,'unskilled resident',1,none,yes,bad,"gender is female, checking_status is '0<=X<200', duration is 24, credit_history is 'all paid', purpose is education, credit_amount is 1837, savings_status is '<100', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 34, other_payment_plans is bank, housing is 'for free', existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 24
 - credit_history : 'all paid'
 - purpose : education
 - credit_amount : 1837
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 34
 - other_payment_plans : bank
 - housing : 'for free'
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 24. The credit_history is 'all paid'. The purpose is education. The credit_amount is 1837. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 34. The other_payment_plans is bank. The housing is 'for free'. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>24</td>
      <td>'all paid'</td>
      <td>education</td>
      <td>1837</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>34</td>
      <td>bank</td>
      <td>'for free'</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 24 & 'all paid' & education & 1837 & '<100' & '4<=X<7' & 4 & none & 4 & 'no known property' & 34 & bank & 'for free' & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 34, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1837, 'credit_history': ""'all paid'"", 'duration': 24, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': ""'for free'"", 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': ""'no known property'"", 'purpose': 'education', 'residence_since': 4, 'savings_status': ""'<100'""}",A 34-year-old female German Foreigner is applying for a loan of 1837 credits for 24 months for education purposes. She has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has other installment plans with a bank and 1 credits at this bank. She is employed for more than four years but less than seven years and is recognized as an unskilled resident individual. She has lived in a free accommodation for 4 years.  She owns no known property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
398,female,'<0',48,'existing paid',radio/tv,6758,'<100','1<=X<4',3,none,2,car,31,none,own,1,skilled,1,yes,yes,bad,"gender is female, checking_status is '<0', duration is 48, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 6758, savings_status is '<100', employment is '1<=X<4', installment_commitment is 3, other_parties is none, residence_since is 2, property_magnitude is car, age is 31, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 48
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 6758
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 31
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 48. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 6758. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 3. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 31. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>48</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>6758</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>3</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>31</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 48 & 'existing paid' & radio/tv & 6758 & '<100' & '1<=X<4' & 3 & none & 2 & car & 31 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 31, 'checking_status': ""'<0'"", 'credit_amount': 6758, 'credit_history': ""'existing paid'"", 'duration': 48, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 31-year-old female German Foreigner is applying for a loan of 6758 credits for 48 months for radio or tv purposes. She has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. She has no other installment plans and 1 credits at this bank. She is employed for more than one year but less than four years. She has lived in a self-owned house for 2 years.  She owns a car. She owns a telephone and has 1 person that she is liable to provide maintenance for.
399,male,'<0',24,'all paid',furniture/equipment,2483,'500<=X<1000','1<=X<4',4,none,4,'real estate',22,stores,own,1,skilled,1,yes,yes,good,"gender is male, checking_status is '<0', duration is 24, credit_history is 'all paid', purpose is furniture/equipment, credit_amount is 2483, savings_status is '500<=X<1000', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 22, other_payment_plans is stores, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 24
 - credit_history : 'all paid'
 - purpose : furniture/equipment
 - credit_amount : 2483
 - savings_status : '500<=X<1000'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 22
 - other_payment_plans : stores
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 24. The credit_history is 'all paid'. The purpose is furniture/equipment. The credit_amount is 2483. The savings_status is '500<=X<1000'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 22. The other_payment_plans is stores. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>24</td>
      <td>'all paid'</td>
      <td>furniture/equipment</td>
      <td>2483</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>22</td>
      <td>stores</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 24 & 'all paid' & furniture/equipment & 2483 & '500<=X<1000' & '1<=X<4' & 4 & none & 4 & 'real estate' & 22 & stores & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 22, 'checking_status': ""'<0'"", 'credit_amount': 2483, 'credit_history': ""'all paid'"", 'duration': 24, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'stores', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'500<=X<1000'""}",A 22-year-old male German Foreigner is applying for a loan of 2483 credits for 24 months for furniture or equipment purposes. He has a checking account with 0 Deutsche Mark and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. He has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a store and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 4 years.  He owns some real estate property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
400,male,'<0',30,'no credits/all paid',business,8072,'no known savings','<1',2,none,3,car,25,bank,own,3,skilled,1,none,yes,good,"gender is male, checking_status is '<0', duration is 30, credit_history is 'no credits/all paid', purpose is business, credit_amount is 8072, savings_status is 'no known savings', employment is '<1', installment_commitment is 2, other_parties is none, residence_since is 3, property_magnitude is car, age is 25, other_payment_plans is bank, housing is own, existing_credits is 3, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 30
 - credit_history : 'no credits/all paid'
 - purpose : business
 - credit_amount : 8072
 - savings_status : 'no known savings'
 - employment : '<1'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 3
 - property_magnitude : car
 - age : 25
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 3
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 30. The credit_history is 'no credits/all paid'. The purpose is business. The credit_amount is 8072. The savings_status is 'no known savings'. The employment is '<1'. The installment_commitment is 2. The other_parties is none. The residence_since is 3. The property_magnitude is car. The age is 25. The other_payment_plans is bank. The housing is own. The existing_credits is 3. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>30</td>
      <td>'no credits/all paid'</td>
      <td>business</td>
      <td>8072</td>
      <td>'no known savings'</td>
      <td>'&lt;1'</td>
      <td>2</td>
      <td>none</td>
      <td>3</td>
      <td>car</td>
      <td>25</td>
      <td>bank</td>
      <td>own</td>
      <td>3</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 30 & 'no credits/all paid' & business & 8072 & 'no known savings' & '<1' & 2 & none & 3 & car & 25 & bank & own & 3 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 25, 'checking_status': ""'<0'"", 'credit_amount': 8072, 'credit_history': ""'no credits/all paid'"", 'duration': 30, 'employment': ""'<1'"", 'existing_credits': 3, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'business', 'residence_since': 3, 'savings_status': ""'no known savings'""}",A 25-year-old male German Foreigner is applying for a loan of 8072 credits for 30 months for business purposes. He has a checking account with 0 Deutsche Mark and no known savings. He did not take any credits at this bank or has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has other installment plans with a bank and 3 credits at this bank. He is employed for less than one years. He has lived in a self-owned house for 3 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
401,male,'0<=X<200',12,'existing paid',repairs,639,'<100','1<=X<4',4,none,2,car,30,none,own,1,skilled,1,none,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 12, credit_history is 'existing paid', purpose is repairs, credit_amount is 639, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is car, age is 30, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : repairs
 - credit_amount : 639
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 30
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 12. The credit_history is 'existing paid'. The purpose is repairs. The credit_amount is 639. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 30. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>repairs</td>
      <td>639</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>30</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 12 & 'existing paid' & repairs & 639 & '<100' & '1<=X<4' & 4 & none & 2 & car & 30 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 30, 'checking_status': ""'0<=X<200'"", 'credit_amount': 639, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'repairs', 'residence_since': 2, 'savings_status': ""'<100'""}",A 30-year-old male German Foreigner is applying for a loan of 639 credits for 12 months for repairs purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 2 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
402,male,'<0',24,'existing paid','used car',2910,'<100','4<=X<7',2,none,1,'no known property',34,none,'for free',1,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is male, checking_status is '<0', duration is 24, credit_history is 'existing paid', purpose is 'used car', credit_amount is 2910, savings_status is '<100', employment is '4<=X<7', installment_commitment is 2, other_parties is none, residence_since is 1, property_magnitude is 'no known property', age is 34, other_payment_plans is none, housing is 'for free', existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : 'used car'
 - credit_amount : 2910
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'no known property'
 - age : 34
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 24. The credit_history is 'existing paid'. The purpose is 'used car'. The credit_amount is 2910. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 2. The other_parties is none. The residence_since is 1. The property_magnitude is 'no known property'. The age is 34. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>'used car'</td>
      <td>2910</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>2</td>
      <td>none</td>
      <td>1</td>
      <td>'no known property'</td>
      <td>34</td>
      <td>none</td>
      <td>'for free'</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 24 & 'existing paid' & 'used car' & 2910 & '<100' & '4<=X<7' & 2 & none & 1 & 'no known property' & 34 & none & 'for free' & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 34, 'checking_status': ""'<0'"", 'credit_amount': 2910, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 2, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': ""'used car'"", 'residence_since': 1, 'savings_status': ""'<100'""}",A 34-year-old male German Foreigner is applying for a loan of 2910 credits for 24 months for used car purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for more than four years but less than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a free accommodation for 1 years.  He owns no known property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
403,male,'0<=X<200',60,'delayed previously',radio/tv,7418,'no known savings','1<=X<4',1,none,1,'real estate',27,none,own,1,'unskilled resident',1,none,yes,good,"gender is male, checking_status is '0<=X<200', duration is 60, credit_history is 'delayed previously', purpose is radio/tv, credit_amount is 7418, savings_status is 'no known savings', employment is '1<=X<4', installment_commitment is 1, other_parties is none, residence_since is 1, property_magnitude is 'real estate', age is 27, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 60
 - credit_history : 'delayed previously'
 - purpose : radio/tv
 - credit_amount : 7418
 - savings_status : 'no known savings'
 - employment : '1<=X<4'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'real estate'
 - age : 27
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 60. The credit_history is 'delayed previously'. The purpose is radio/tv. The credit_amount is 7418. The savings_status is 'no known savings'. The employment is '1<=X<4'. The installment_commitment is 1. The other_parties is none. The residence_since is 1. The property_magnitude is 'real estate'. The age is 27. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>60</td>
      <td>'delayed previously'</td>
      <td>radio/tv</td>
      <td>7418</td>
      <td>'no known savings'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>1</td>
      <td>none</td>
      <td>1</td>
      <td>'real estate'</td>
      <td>27</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 60 & 'delayed previously' & radio/tv & 7418 & 'no known savings' & '1<=X<4' & 1 & none & 1 & 'real estate' & 27 & none & own & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 27, 'checking_status': ""'0<=X<200'"", 'credit_amount': 7418, 'credit_history': ""'delayed previously'"", 'duration': 60, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 1, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 1, 'savings_status': ""'no known savings'""}",A 27-year-old male German Foreigner is applying for a loan of 7418 credits for 60 months for radio or tv purposes. He has a checking account with less than 200 Deutsche Mark and no known savings. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 1 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
404,male,'no checking',48,'existing paid',radio/tv,10222,'no known savings','4<=X<7',4,none,3,car,37,stores,own,1,skilled,1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 48, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 10222, savings_status is 'no known savings', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 3, property_magnitude is car, age is 37, other_payment_plans is stores, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 48
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 10222
 - savings_status : 'no known savings'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : car
 - age : 37
 - other_payment_plans : stores
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 48. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 10222. The savings_status is 'no known savings'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is none. The residence_since is 3. The property_magnitude is car. The age is 37. The other_payment_plans is stores. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>48</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>10222</td>
      <td>'no known savings'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>car</td>
      <td>37</td>
      <td>stores</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 48 & 'existing paid' & radio/tv & 10222 & 'no known savings' & '4<=X<7' & 4 & none & 3 & car & 37 & stores & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 37, 'checking_status': ""'no checking'"", 'credit_amount': 10222, 'credit_history': ""'existing paid'"", 'duration': 48, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'stores', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 3, 'savings_status': ""'no known savings'""}",A 37-year-old male German Foreigner is applying for a loan of 10222 credits for 48 months for radio or tv purposes. He has no checking account and no known savings. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a store and 1 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 3 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
405,male,'0<=X<200',6,'existing paid',repairs,454,'<100','<1',3,none,1,'life insurance',22,none,own,1,'unskilled resident',1,none,yes,good,"gender is male, checking_status is '0<=X<200', duration is 6, credit_history is 'existing paid', purpose is repairs, credit_amount is 454, savings_status is '<100', employment is '<1', installment_commitment is 3, other_parties is none, residence_since is 1, property_magnitude is 'life insurance', age is 22, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 6
 - credit_history : 'existing paid'
 - purpose : repairs
 - credit_amount : 454
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'life insurance'
 - age : 22
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 6. The credit_history is 'existing paid'. The purpose is repairs. The credit_amount is 454. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 3. The other_parties is none. The residence_since is 1. The property_magnitude is 'life insurance'. The age is 22. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>6</td>
      <td>'existing paid'</td>
      <td>repairs</td>
      <td>454</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>3</td>
      <td>none</td>
      <td>1</td>
      <td>'life insurance'</td>
      <td>22</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 6 & 'existing paid' & repairs & 454 & '<100' & '<1' & 3 & none & 1 & 'life insurance' & 22 & none & own & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 22, 'checking_status': ""'0<=X<200'"", 'credit_amount': 454, 'credit_history': ""'existing paid'"", 'duration': 6, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'repairs', 'residence_since': 1, 'savings_status': ""'<100'""}",A 22-year-old male German Foreigner is applying for a loan of 454 credits for 6 months for repairs purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 1 credits at this bank. He is employed for less than one years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 1 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
406,male,'no checking',24,'existing paid',business,4591,'>=1000','1<=X<4',2,none,3,'life insurance',54,none,own,3,'high qualif/self emp/mgmt',1,yes,yes,bad,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'existing paid', purpose is business, credit_amount is 4591, savings_status is '>=1000', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 3, property_magnitude is 'life insurance', age is 54, other_payment_plans is none, housing is own, existing_credits is 3, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : business
 - credit_amount : 4591
 - savings_status : '>=1000'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'life insurance'
 - age : 54
 - other_payment_plans : none
 - housing : own
 - existing_credits : 3
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 24. The credit_history is 'existing paid'. The purpose is business. The credit_amount is 4591. The savings_status is '>=1000'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 3. The property_magnitude is 'life insurance'. The age is 54. The other_payment_plans is none. The housing is own. The existing_credits is 3. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>business</td>
      <td>4591</td>
      <td>'&gt;=1000'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>3</td>
      <td>'life insurance'</td>
      <td>54</td>
      <td>none</td>
      <td>own</td>
      <td>3</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 24 & 'existing paid' & business & 4591 & '>=1000' & '1<=X<4' & 2 & none & 3 & 'life insurance' & 54 & none & own & 3 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 54, 'checking_status': ""'no checking'"", 'credit_amount': 4591, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'1<=X<4'"", 'existing_credits': 3, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': 'business', 'residence_since': 3, 'savings_status': ""'>=1000'""}",A 54-year-old male German Foreigner is applying for a loan of 4591 credits for 24 months for business purposes. He has no checking account and a savings with 1000 Deutsche Mark or more. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 3 credits at this bank. He is employed for more than one year but less than four years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 3 years.  He owns life insurance property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
407,male,'no checking',48,'critical/other existing credit',radio/tv,3578,'no known savings','>=7',4,none,1,'real estate',47,none,own,1,skilled,1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 48, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 3578, savings_status is 'no known savings', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 1, property_magnitude is 'real estate', age is 47, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 48
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 3578
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'real estate'
 - age : 47
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 48. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 3578. The savings_status is 'no known savings'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 1. The property_magnitude is 'real estate'. The age is 47. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>48</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>3578</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>1</td>
      <td>'real estate'</td>
      <td>47</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 48 & 'critical/other existing credit' & radio/tv & 3578 & 'no known savings' & '>=7' & 4 & none & 1 & 'real estate' & 47 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 47, 'checking_status': ""'no checking'"", 'credit_amount': 3578, 'credit_history': ""'critical/other existing credit'"", 'duration': 48, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 1, 'savings_status': ""'no known savings'""}",A 47-year-old male German Foreigner is applying for a loan of 3578 credits for 48 months for radio or tv purposes. He has no checking account and no known savings. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 1 years.  He owns some real estate property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
408,male,'0<=X<200',60,'delayed previously',radio/tv,9157,'no known savings','1<=X<4',2,none,2,'no known property',27,none,'for free',1,'high qualif/self emp/mgmt',1,none,yes,good,"gender is male, checking_status is '0<=X<200', duration is 60, credit_history is 'delayed previously', purpose is radio/tv, credit_amount is 9157, savings_status is 'no known savings', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 2, property_magnitude is 'no known property', age is 27, other_payment_plans is none, housing is 'for free', existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 60
 - credit_history : 'delayed previously'
 - purpose : radio/tv
 - credit_amount : 9157
 - savings_status : 'no known savings'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'no known property'
 - age : 27
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 60. The credit_history is 'delayed previously'. The purpose is radio/tv. The credit_amount is 9157. The savings_status is 'no known savings'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 2. The property_magnitude is 'no known property'. The age is 27. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>60</td>
      <td>'delayed previously'</td>
      <td>radio/tv</td>
      <td>9157</td>
      <td>'no known savings'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>2</td>
      <td>'no known property'</td>
      <td>27</td>
      <td>none</td>
      <td>'for free'</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 60 & 'delayed previously' & radio/tv & 9157 & 'no known savings' & '1<=X<4' & 2 & none & 2 & 'no known property' & 27 & none & 'for free' & 1 & 'high qualif/self emp/mgmt' & 1 & none & yes \\
\end{tabular}
","{'age': 27, 'checking_status': ""'0<=X<200'"", 'credit_amount': 9157, 'credit_history': ""'delayed previously'"", 'duration': 60, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 2, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'no known property'"", 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'no known savings'""}",A 27-year-old male German Foreigner is applying for a loan of 9157 credits for 60 months for radio or tv purposes. He has a checking account with less than 200 Deutsche Mark and no known savings. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a free accommodation for 2 years.  He owns no known property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
409,male,'no checking',24,'critical/other existing credit',business,4526,'<100','1<=X<4',3,none,2,'real estate',74,none,own,1,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'critical/other existing credit', purpose is business, credit_amount is 4526, savings_status is '<100', employment is '1<=X<4', installment_commitment is 3, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 74, other_payment_plans is none, housing is own, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'critical/other existing credit'
 - purpose : business
 - credit_amount : 4526
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 74
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 24. The credit_history is 'critical/other existing credit'. The purpose is business. The credit_amount is 4526. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 3. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 74. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'critical/other existing credit'</td>
      <td>business</td>
      <td>4526</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>3</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>74</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 24 & 'critical/other existing credit' & business & 4526 & '<100' & '1<=X<4' & 3 & none & 2 & 'real estate' & 74 & none & own & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 74, 'checking_status': ""'no checking'"", 'credit_amount': 4526, 'credit_history': ""'critical/other existing credit'"", 'duration': 24, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': 'business', 'residence_since': 2, 'savings_status': ""'<100'""}",A 74-year-old male German Foreigner is applying for a loan of 4526 credits for 24 months for business purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 2 years.  He owns some real estate property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
410,male,'no checking',36,'delayed previously',business,9572,'<100','<1',1,none,1,car,28,none,own,2,skilled,1,none,yes,bad,"gender is male, checking_status is 'no checking', duration is 36, credit_history is 'delayed previously', purpose is business, credit_amount is 9572, savings_status is '<100', employment is '<1', installment_commitment is 1, other_parties is none, residence_since is 1, property_magnitude is car, age is 28, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 36
 - credit_history : 'delayed previously'
 - purpose : business
 - credit_amount : 9572
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 1
 - property_magnitude : car
 - age : 28
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 36. The credit_history is 'delayed previously'. The purpose is business. The credit_amount is 9572. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 1. The other_parties is none. The residence_since is 1. The property_magnitude is car. The age is 28. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>36</td>
      <td>'delayed previously'</td>
      <td>business</td>
      <td>9572</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>1</td>
      <td>none</td>
      <td>1</td>
      <td>car</td>
      <td>28</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 36 & 'delayed previously' & business & 9572 & '<100' & '<1' & 1 & none & 1 & car & 28 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 28, 'checking_status': ""'no checking'"", 'credit_amount': 9572, 'credit_history': ""'delayed previously'"", 'duration': 36, 'employment': ""'<1'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'business', 'residence_since': 1, 'savings_status': ""'<100'""}",A 28-year-old male German Foreigner is applying for a loan of 9572 credits for 36 months for business purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 2 credits at this bank. He is employed for less than one years. He has lived in a self-owned house for 1 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
411,female,'0<=X<200',36,'no credits/all paid',radio/tv,3804,'<100','1<=X<4',4,none,1,car,42,none,own,1,skilled,1,yes,yes,bad,"gender is female, checking_status is '0<=X<200', duration is 36, credit_history is 'no credits/all paid', purpose is radio/tv, credit_amount is 3804, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 1, property_magnitude is car, age is 42, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 36
 - credit_history : 'no credits/all paid'
 - purpose : radio/tv
 - credit_amount : 3804
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 1
 - property_magnitude : car
 - age : 42
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 36. The credit_history is 'no credits/all paid'. The purpose is radio/tv. The credit_amount is 3804. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 1. The property_magnitude is car. The age is 42. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>36</td>
      <td>'no credits/all paid'</td>
      <td>radio/tv</td>
      <td>3804</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>1</td>
      <td>car</td>
      <td>42</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 36 & 'no credits/all paid' & radio/tv & 3804 & '<100' & '1<=X<4' & 4 & none & 1 & car & 42 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 42, 'checking_status': ""'0<=X<200'"", 'credit_amount': 3804, 'credit_history': ""'no credits/all paid'"", 'duration': 36, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 1, 'savings_status': ""'<100'""}",A 42-year-old female German Foreigner is applying for a loan of 3804 credits for 36 months for radio or tv purposes. She has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She did not take any credits at this bank or has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for more than one year but less than four years. She has lived in a self-owned house for 1 years.  She owns a car. She owns a telephone and has 1 person that she is liable to provide maintenance for.
412,male,'<0',12,'critical/other existing credit','new car',691,'<100','>=7',4,none,3,'life insurance',35,none,own,2,skilled,1,none,yes,bad,"gender is male, checking_status is '<0', duration is 12, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 691, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 3, property_magnitude is 'life insurance', age is 35, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 12
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 691
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'life insurance'
 - age : 35
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 12. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 691. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 3. The property_magnitude is 'life insurance'. The age is 35. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>12</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>691</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>'life insurance'</td>
      <td>35</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 12 & 'critical/other existing credit' & 'new car' & 691 & '<100' & '>=7' & 4 & none & 3 & 'life insurance' & 35 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 35, 'checking_status': ""'<0'"", 'credit_amount': 691, 'credit_history': ""'critical/other existing credit'"", 'duration': 12, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': ""'new car'"", 'residence_since': 3, 'savings_status': ""'<100'""}",A 35-year-old male German Foreigner is applying for a loan of 691 credits for 12 months for new car purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 3 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
413,male,'no checking',21,'existing paid','used car',2476,'no known savings','>=7',4,none,4,'real estate',46,none,own,1,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 21, credit_history is 'existing paid', purpose is 'used car', credit_amount is 2476, savings_status is 'no known savings', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 46, other_payment_plans is none, housing is own, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 21
 - credit_history : 'existing paid'
 - purpose : 'used car'
 - credit_amount : 2476
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 46
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 21. The credit_history is 'existing paid'. The purpose is 'used car'. The credit_amount is 2476. The savings_status is 'no known savings'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 46. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>21</td>
      <td>'existing paid'</td>
      <td>'used car'</td>
      <td>2476</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>46</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 21 & 'existing paid' & 'used car' & 2476 & 'no known savings' & '>=7' & 4 & none & 4 & 'real estate' & 46 & none & own & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 46, 'checking_status': ""'no checking'"", 'credit_amount': 2476, 'credit_history': ""'existing paid'"", 'duration': 21, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 46-year-old male German Foreigner is applying for a loan of 2476 credits for 21 months for used car purposes. He has no checking account and no known savings. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 4 years.  He owns some real estate property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
414,female,'0<=X<200',9,'existing paid',radio/tv,790,'500<=X<1000','1<=X<4',4,none,3,'real estate',66,none,own,1,'unskilled resident',1,none,yes,good,"gender is female, checking_status is '0<=X<200', duration is 9, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 790, savings_status is '500<=X<1000', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 3, property_magnitude is 'real estate', age is 66, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 9
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 790
 - savings_status : '500<=X<1000'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'real estate'
 - age : 66
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 9. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 790. The savings_status is '500<=X<1000'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 3. The property_magnitude is 'real estate'. The age is 66. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>9</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>790</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>'real estate'</td>
      <td>66</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 9 & 'existing paid' & radio/tv & 790 & '500<=X<1000' & '1<=X<4' & 4 & none & 3 & 'real estate' & 66 & none & own & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 66, 'checking_status': ""'0<=X<200'"", 'credit_amount': 790, 'credit_history': ""'existing paid'"", 'duration': 9, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 3, 'savings_status': ""'500<=X<1000'""}",A 66-year-old female German Foreigner is applying for a loan of 790 credits for 9 months for radio or tv purposes. She has a checking account with less than 200 Deutsche Mark and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for more than one year but less than four years and is recognized as an unskilled resident individual. She has lived in a self-owned house for 3 years.  She owns some real estate property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
415,male,'no checking',60,'existing paid','new car',6527,'no known savings','1<=X<4',4,none,4,'no known property',34,none,'for free',1,skilled,2,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 60, credit_history is 'existing paid', purpose is 'new car', credit_amount is 6527, savings_status is 'no known savings', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 34, other_payment_plans is none, housing is 'for free', existing_credits is 1, job is skilled, num_dependents is 2, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 60
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 6527
 - savings_status : 'no known savings'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 34
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 1
 - job : skilled
 - num_dependents : 2
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 60. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 6527. The savings_status is 'no known savings'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 34. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 1. The job is skilled. The num_dependents is 2. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>60</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>6527</td>
      <td>'no known savings'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>34</td>
      <td>none</td>
      <td>'for free'</td>
      <td>1</td>
      <td>skilled</td>
      <td>2</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 60 & 'existing paid' & 'new car' & 6527 & 'no known savings' & '1<=X<4' & 4 & none & 4 & 'no known property' & 34 & none & 'for free' & 1 & skilled & 2 & yes & yes \\
\end{tabular}
","{'age': 34, 'checking_status': ""'no checking'"", 'credit_amount': 6527, 'credit_history': ""'existing paid'"", 'duration': 60, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 34-year-old male German Foreigner is applying for a loan of 6527 credits for 60 months for new car purposes. He has no checking account and no known savings. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a free accommodation for 4 years.  He owns no known property. He owns a telephone and has 2 people that he is liable to provide maintenance for.
416,male,'0<=X<200',15,'all paid','new car',1264,'100<=X<500','1<=X<4',2,none,2,'life insurance',25,none,rent,1,skilled,1,none,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 15, credit_history is 'all paid', purpose is 'new car', credit_amount is 1264, savings_status is '100<=X<500', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 2, property_magnitude is 'life insurance', age is 25, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 15
 - credit_history : 'all paid'
 - purpose : 'new car'
 - credit_amount : 1264
 - savings_status : '100<=X<500'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 25
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 15. The credit_history is 'all paid'. The purpose is 'new car'. The credit_amount is 1264. The savings_status is '100<=X<500'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 25. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>15</td>
      <td>'all paid'</td>
      <td>'new car'</td>
      <td>1264</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>25</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 15 & 'all paid' & 'new car' & 1264 & '100<=X<500' & '1<=X<4' & 2 & none & 2 & 'life insurance' & 25 & none & rent & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 25, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1264, 'credit_history': ""'all paid'"", 'duration': 15, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'100<=X<500'""}",A 25-year-old male German Foreigner is applying for a loan of 1264 credits for 15 months for new car purposes. He has a checking account with less than 200 Deutsche Mark and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. He has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a rented apartment for 2 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
417,female,'no checking',36,'critical/other existing credit',furniture/equipment,7127,'<100','<1',2,none,4,'life insurance',23,none,rent,2,skilled,1,yes,yes,bad,"gender is female, checking_status is 'no checking', duration is 36, credit_history is 'critical/other existing credit', purpose is furniture/equipment, credit_amount is 7127, savings_status is '<100', employment is '<1', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 23, other_payment_plans is none, housing is rent, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 36
 - credit_history : 'critical/other existing credit'
 - purpose : furniture/equipment
 - credit_amount : 7127
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 23
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 36. The credit_history is 'critical/other existing credit'. The purpose is furniture/equipment. The credit_amount is 7127. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 23. The other_payment_plans is none. The housing is rent. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>36</td>
      <td>'critical/other existing credit'</td>
      <td>furniture/equipment</td>
      <td>7127</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>23</td>
      <td>none</td>
      <td>rent</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 36 & 'critical/other existing credit' & furniture/equipment & 7127 & '<100' & '<1' & 2 & none & 4 & 'life insurance' & 23 & none & rent & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 23, 'checking_status': ""'no checking'"", 'credit_amount': 7127, 'credit_history': ""'critical/other existing credit'"", 'duration': 36, 'employment': ""'<1'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'<100'""}",A 23-year-old female German Foreigner is applying for a loan of 7127 credits for 36 months for furniture or equipment purposes. She has no checking account and a savings acccount with less than 100 Deutsche Mark. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has no other installment plans and 2 credits at this bank. She is employed for less than one years. She has lived in a rented apartment for 4 years.  She owns life insurance property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
418,male,'no checking',24,'critical/other existing credit',furniture/equipment,2028,'<100','4<=X<7',2,none,2,'life insurance',30,none,own,2,'unskilled resident',1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'critical/other existing credit', purpose is furniture/equipment, credit_amount is 2028, savings_status is '<100', employment is '4<=X<7', installment_commitment is 2, other_parties is none, residence_since is 2, property_magnitude is 'life insurance', age is 30, other_payment_plans is none, housing is own, existing_credits is 2, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'critical/other existing credit'
 - purpose : furniture/equipment
 - credit_amount : 2028
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 30
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 24. The credit_history is 'critical/other existing credit'. The purpose is furniture/equipment. The credit_amount is 2028. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 2. The other_parties is none. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 30. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'critical/other existing credit'</td>
      <td>furniture/equipment</td>
      <td>2028</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>2</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>30</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 24 & 'critical/other existing credit' & furniture/equipment & 2028 & '<100' & '4<=X<7' & 2 & none & 2 & 'life insurance' & 30 & none & own & 2 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 30, 'checking_status': ""'no checking'"", 'credit_amount': 2028, 'credit_history': ""'critical/other existing credit'"", 'duration': 24, 'employment': ""'4<=X<7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 2, 'savings_status': ""'<100'""}",A 30-year-old male German Foreigner is applying for a loan of 2028 credits for 24 months for furniture or equipment purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 2 credits at this bank. He is employed for more than four years but less than seven years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 2 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
419,female,'no checking',11,'critical/other existing credit','new car',1393,'<100','<1',4,none,4,car,35,none,own,2,'high qualif/self emp/mgmt',1,none,yes,good,"gender is female, checking_status is 'no checking', duration is 11, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 1393, savings_status is '<100', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is car, age is 35, other_payment_plans is none, housing is own, existing_credits is 2, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 11
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 1393
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 35
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 11. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 1393. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 35. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>11</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>1393</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>35</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 11 & 'critical/other existing credit' & 'new car' & 1393 & '<100' & '<1' & 4 & none & 4 & car & 35 & none & own & 2 & 'high qualif/self emp/mgmt' & 1 & none & yes \\
\end{tabular}
","{'age': 35, 'checking_status': ""'no checking'"", 'credit_amount': 1393, 'credit_history': ""'critical/other existing credit'"", 'duration': 11, 'employment': ""'<1'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 35-year-old female German Foreigner is applying for a loan of 1393 credits for 11 months for new car purposes. She has no checking account and a savings acccount with less than 100 Deutsche Mark. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 2 credits at this bank. She is employed for less than one years and is recognized as a highly qualified employee or is self employed or has managerial position. She has lived in a self-owned house for 4 years.  She owns a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
420,female,'0<=X<200',9,'existing paid','new car',3195,'no known savings','1<=X<4',1,none,2,'real estate',33,none,own,1,'unskilled resident',1,none,yes,good,"gender is female, checking_status is '0<=X<200', duration is 9, credit_history is 'existing paid', purpose is 'new car', credit_amount is 3195, savings_status is 'no known savings', employment is '1<=X<4', installment_commitment is 1, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 33, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 9
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 3195
 - savings_status : 'no known savings'
 - employment : '1<=X<4'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 33
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 9. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 3195. The savings_status is 'no known savings'. The employment is '1<=X<4'. The installment_commitment is 1. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 33. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>9</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>3195</td>
      <td>'no known savings'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>1</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>33</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 9 & 'existing paid' & 'new car' & 3195 & 'no known savings' & '1<=X<4' & 1 & none & 2 & 'real estate' & 33 & none & own & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 33, 'checking_status': ""'0<=X<200'"", 'credit_amount': 3195, 'credit_history': ""'existing paid'"", 'duration': 9, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 1, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'no known savings'""}",A 33-year-old female German Foreigner is applying for a loan of 3195 credits for 9 months for new car purposes. She has a checking account with less than 200 Deutsche Mark and no known savings. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. She has no other installment plans and 1 credits at this bank. She is employed for more than one year but less than four years and is recognized as an unskilled resident individual. She has lived in a self-owned house for 2 years.  She owns some real estate property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
421,male,'<0',12,'all paid',retraining,339,'<100','>=7',4,none,1,car,45,bank,own,1,'unskilled resident',1,none,yes,good,"gender is male, checking_status is '<0', duration is 12, credit_history is 'all paid', purpose is retraining, credit_amount is 339, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 1, property_magnitude is car, age is 45, other_payment_plans is bank, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 12
 - credit_history : 'all paid'
 - purpose : retraining
 - credit_amount : 339
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 1
 - property_magnitude : car
 - age : 45
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 12. The credit_history is 'all paid'. The purpose is retraining. The credit_amount is 339. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 1. The property_magnitude is car. The age is 45. The other_payment_plans is bank. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>12</td>
      <td>'all paid'</td>
      <td>retraining</td>
      <td>339</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>1</td>
      <td>car</td>
      <td>45</td>
      <td>bank</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 12 & 'all paid' & retraining & 339 & '<100' & '>=7' & 4 & none & 1 & car & 45 & bank & own & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 45, 'checking_status': ""'<0'"", 'credit_amount': 339, 'credit_history': ""'all paid'"", 'duration': 12, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'retraining', 'residence_since': 1, 'savings_status': ""'<100'""}",A 45-year-old male German Foreigner is applying for a loan of 339 credits for 12 months for retraining purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a bank and 1 credits at this bank. He is employed for more than seven years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 1 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
422,male,'no checking',24,'critical/other existing credit','used car',4042,'no known savings','4<=X<7',3,none,4,'life insurance',43,none,own,2,skilled,1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'critical/other existing credit', purpose is 'used car', credit_amount is 4042, savings_status is 'no known savings', employment is '4<=X<7', installment_commitment is 3, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 43, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'critical/other existing credit'
 - purpose : 'used car'
 - credit_amount : 4042
 - savings_status : 'no known savings'
 - employment : '4<=X<7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 43
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 24. The credit_history is 'critical/other existing credit'. The purpose is 'used car'. The credit_amount is 4042. The savings_status is 'no known savings'. The employment is '4<=X<7'. The installment_commitment is 3. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 43. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'critical/other existing credit'</td>
      <td>'used car'</td>
      <td>4042</td>
      <td>'no known savings'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>3</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>43</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 24 & 'critical/other existing credit' & 'used car' & 4042 & 'no known savings' & '4<=X<7' & 3 & none & 4 & 'life insurance' & 43 & none & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 43, 'checking_status': ""'no checking'"", 'credit_amount': 4042, 'credit_history': ""'critical/other existing credit'"", 'duration': 24, 'employment': ""'4<=X<7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 43-year-old male German Foreigner is applying for a loan of 4042 credits for 24 months for used car purposes. He has no checking account and no known savings. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 2 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 4 years.  He owns life insurance property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
423,female,'no checking',12,'existing paid',furniture/equipment,763,'<100','1<=X<4',4,none,1,'real estate',26,none,own,1,skilled,1,yes,yes,good,"gender is female, checking_status is 'no checking', duration is 12, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 763, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 1, property_magnitude is 'real estate', age is 26, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 763
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'real estate'
 - age : 26
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 12. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 763. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 1. The property_magnitude is 'real estate'. The age is 26. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>763</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>1</td>
      <td>'real estate'</td>
      <td>26</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 12 & 'existing paid' & furniture/equipment & 763 & '<100' & '1<=X<4' & 4 & none & 1 & 'real estate' & 26 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 26, 'checking_status': ""'no checking'"", 'credit_amount': 763, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': 'furniture/equipment', 'residence_since': 1, 'savings_status': ""'<100'""}",A 26-year-old female German Foreigner is applying for a loan of 763 credits for 12 months for furniture or equipment purposes. She has no checking account and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for more than one year but less than four years. She has lived in a self-owned house for 1 years.  She owns some real estate property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
424,male,'no checking',24,'critical/other existing credit',radio/tv,2424,'no known savings','>=7',4,none,4,'life insurance',53,none,own,2,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 2424, savings_status is 'no known savings', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 53, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 2424
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 53
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 24. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 2424. The savings_status is 'no known savings'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 53. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>2424</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>53</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 24 & 'critical/other existing credit' & radio/tv & 2424 & 'no known savings' & '>=7' & 4 & none & 4 & 'life insurance' & 53 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 53, 'checking_status': ""'no checking'"", 'credit_amount': 2424, 'credit_history': ""'critical/other existing credit'"", 'duration': 24, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 53-year-old male German Foreigner is applying for a loan of 2424 credits for 24 months for radio or tv purposes. He has no checking account and no known savings. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 4 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
425,male,'no checking',36,'existing paid','used car',4686,'<100','1<=X<4',2,none,2,'no known property',32,none,'for free',1,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 36, credit_history is 'existing paid', purpose is 'used car', credit_amount is 4686, savings_status is '<100', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 2, property_magnitude is 'no known property', age is 32, other_payment_plans is none, housing is 'for free', existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 36
 - credit_history : 'existing paid'
 - purpose : 'used car'
 - credit_amount : 4686
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'no known property'
 - age : 32
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 36. The credit_history is 'existing paid'. The purpose is 'used car'. The credit_amount is 4686. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 2. The property_magnitude is 'no known property'. The age is 32. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>36</td>
      <td>'existing paid'</td>
      <td>'used car'</td>
      <td>4686</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>2</td>
      <td>'no known property'</td>
      <td>32</td>
      <td>none</td>
      <td>'for free'</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 36 & 'existing paid' & 'used car' & 4686 & '<100' & '1<=X<4' & 2 & none & 2 & 'no known property' & 32 & none & 'for free' & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 32, 'checking_status': ""'no checking'"", 'credit_amount': 4686, 'credit_history': ""'existing paid'"", 'duration': 36, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 2, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': ""'used car'"", 'residence_since': 2, 'savings_status': ""'<100'""}",A 32-year-old male German Foreigner is applying for a loan of 4686 credits for 36 months for used car purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a free accommodation for 2 years.  He owns no known property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
426,male,'no checking',11,'critical/other existing credit','new car',7228,'<100','1<=X<4',1,none,4,'life insurance',39,none,own,2,'unskilled resident',1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 11, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 7228, savings_status is '<100', employment is '1<=X<4', installment_commitment is 1, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 39, other_payment_plans is none, housing is own, existing_credits is 2, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 11
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 7228
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 39
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 11. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 7228. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 1. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 39. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>11</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>7228</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>1</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>39</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 11 & 'critical/other existing credit' & 'new car' & 7228 & '<100' & '1<=X<4' & 1 & none & 4 & 'life insurance' & 39 & none & own & 2 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 39, 'checking_status': ""'no checking'"", 'credit_amount': 7228, 'credit_history': ""'critical/other existing credit'"", 'duration': 11, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 1, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 39-year-old male German Foreigner is applying for a loan of 7228 credits for 11 months for new car purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 2 credits at this bank. He is employed for more than one year but less than four years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 4 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
427,male,'no checking',24,'existing paid','new car',7393,'<100','1<=X<4',1,none,4,'life insurance',43,none,own,1,'unskilled resident',2,none,yes,good,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'existing paid', purpose is 'new car', credit_amount is 7393, savings_status is '<100', employment is '1<=X<4', installment_commitment is 1, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 43, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 7393
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 43
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 24. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 7393. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 1. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 43. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>7393</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>1</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>43</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 24 & 'existing paid' & 'new car' & 7393 & '<100' & '1<=X<4' & 1 & none & 4 & 'life insurance' & 43 & none & own & 1 & 'unskilled resident' & 2 & none & yes \\
\end{tabular}
","{'age': 43, 'checking_status': ""'no checking'"", 'credit_amount': 7393, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 1, 'job': ""'unskilled resident'"", 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 43-year-old male German Foreigner is applying for a loan of 7393 credits for 24 months for new car purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 4 years.  He owns life insurance property. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
428,male,'no checking',12,'existing paid','new car',3527,'no known savings','<1',2,none,3,'life insurance',45,none,own,1,'high qualif/self emp/mgmt',2,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 12, credit_history is 'existing paid', purpose is 'new car', credit_amount is 3527, savings_status is 'no known savings', employment is '<1', installment_commitment is 2, other_parties is none, residence_since is 3, property_magnitude is 'life insurance', age is 45, other_payment_plans is none, housing is own, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 2, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 3527
 - savings_status : 'no known savings'
 - employment : '<1'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'life insurance'
 - age : 45
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 2
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 12. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 3527. The savings_status is 'no known savings'. The employment is '<1'. The installment_commitment is 2. The other_parties is none. The residence_since is 3. The property_magnitude is 'life insurance'. The age is 45. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 2. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>3527</td>
      <td>'no known savings'</td>
      <td>'&lt;1'</td>
      <td>2</td>
      <td>none</td>
      <td>3</td>
      <td>'life insurance'</td>
      <td>45</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>2</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 12 & 'existing paid' & 'new car' & 3527 & 'no known savings' & '<1' & 2 & none & 3 & 'life insurance' & 45 & none & own & 1 & 'high qualif/self emp/mgmt' & 2 & yes & yes \\
\end{tabular}
","{'age': 45, 'checking_status': ""'no checking'"", 'credit_amount': 3527, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': ""'new car'"", 'residence_since': 3, 'savings_status': ""'no known savings'""}",A 45-year-old male German Foreigner is applying for a loan of 3527 credits for 12 months for new car purposes. He has no checking account and no known savings. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for less than one years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 3 years.  He owns life insurance property. He owns a telephone and has 2 people that he is liable to provide maintenance for.
429,female,'<0',6,'critical/other existing credit','new car',609,'<100','4<=X<7',4,none,3,'life insurance',37,none,own,2,skilled,1,none,no,good,"gender is female, checking_status is '<0', duration is 6, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 609, savings_status is '<100', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 3, property_magnitude is 'life insurance', age is 37, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is no","- gender : female
 - checking_status : '<0'
 - duration : 6
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 609
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'life insurance'
 - age : 37
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : no",The gender is female. The checking_status is '<0'. The duration is 6. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 609. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is none. The residence_since is 3. The property_magnitude is 'life insurance'. The age is 37. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is no,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>6</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>609</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>'life insurance'</td>
      <td>37</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>no</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 6 & 'critical/other existing credit' & 'new car' & 609 & '<100' & '4<=X<7' & 4 & none & 3 & 'life insurance' & 37 & none & own & 2 & skilled & 1 & none & no \\
\end{tabular}
","{'age': 37, 'checking_status': ""'<0'"", 'credit_amount': 609, 'credit_history': ""'critical/other existing credit'"", 'duration': 6, 'employment': ""'4<=X<7'"", 'existing_credits': 2, 'foreign_worker': 'no', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': ""'new car'"", 'residence_since': 3, 'savings_status': ""'<100'""}",A 37-year-old female German Citizen is applying for a loan of 609 credits for 6 months for new car purposes. She has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 2 credits at this bank. She is employed for more than four years but less than seven years. She has lived in a self-owned house for 3 years.  She owns life insurance property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
430,female,'0<=X<200',24,'existing paid','used car',4113,'500<=X<1000','<1',3,none,4,car,28,none,rent,1,skilled,1,none,yes,bad,"gender is female, checking_status is '0<=X<200', duration is 24, credit_history is 'existing paid', purpose is 'used car', credit_amount is 4113, savings_status is '500<=X<1000', employment is '<1', installment_commitment is 3, other_parties is none, residence_since is 4, property_magnitude is car, age is 28, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : 'used car'
 - credit_amount : 4113
 - savings_status : '500<=X<1000'
 - employment : '<1'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 28
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 24. The credit_history is 'existing paid'. The purpose is 'used car'. The credit_amount is 4113. The savings_status is '500<=X<1000'. The employment is '<1'. The installment_commitment is 3. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 28. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>'used car'</td>
      <td>4113</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>'&lt;1'</td>
      <td>3</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>28</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 24 & 'existing paid' & 'used car' & 4113 & '500<=X<1000' & '<1' & 3 & none & 4 & car & 28 & none & rent & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 28, 'checking_status': ""'0<=X<200'"", 'credit_amount': 4113, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'500<=X<1000'""}",A 28-year-old female German Foreigner is applying for a loan of 4113 credits for 24 months for used car purposes. She has a checking account with less than 200 Deutsche Mark and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. She has no other installment plans and 1 credits at this bank. She is employed for less than one years. She has lived in a rented apartment for 4 years.  She owns a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
431,female,'0<=X<200',12,'critical/other existing credit',radio/tv,3573,'<100','1<=X<4',1,none,1,'real estate',23,none,own,1,'unskilled resident',1,none,yes,good,"gender is female, checking_status is '0<=X<200', duration is 12, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 3573, savings_status is '<100', employment is '1<=X<4', installment_commitment is 1, other_parties is none, residence_since is 1, property_magnitude is 'real estate', age is 23, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 12
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 3573
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'real estate'
 - age : 23
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 12. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 3573. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 1. The other_parties is none. The residence_since is 1. The property_magnitude is 'real estate'. The age is 23. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>12</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>3573</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>1</td>
      <td>none</td>
      <td>1</td>
      <td>'real estate'</td>
      <td>23</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 12 & 'critical/other existing credit' & radio/tv & 3573 & '<100' & '1<=X<4' & 1 & none & 1 & 'real estate' & 23 & none & own & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 23, 'checking_status': ""'0<=X<200'"", 'credit_amount': 3573, 'credit_history': ""'critical/other existing credit'"", 'duration': 12, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 1, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 1, 'savings_status': ""'<100'""}",A 23-year-old female German Foreigner is applying for a loan of 3573 credits for 12 months for radio or tv purposes. She has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. She has no other installment plans and 1 credits at this bank. She is employed for more than one year but less than four years and is recognized as an unskilled resident individual. She has lived in a self-owned house for 1 years.  She owns some real estate property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
432,male,'no checking',15,'critical/other existing credit',furniture/equipment,1520,'no known savings','>=7',4,none,4,'life insurance',63,none,own,1,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 15, credit_history is 'critical/other existing credit', purpose is furniture/equipment, credit_amount is 1520, savings_status is 'no known savings', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 63, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 15
 - credit_history : 'critical/other existing credit'
 - purpose : furniture/equipment
 - credit_amount : 1520
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 63
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 15. The credit_history is 'critical/other existing credit'. The purpose is furniture/equipment. The credit_amount is 1520. The savings_status is 'no known savings'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 63. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>15</td>
      <td>'critical/other existing credit'</td>
      <td>furniture/equipment</td>
      <td>1520</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>63</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 15 & 'critical/other existing credit' & furniture/equipment & 1520 & 'no known savings' & '>=7' & 4 & none & 4 & 'life insurance' & 63 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 63, 'checking_status': ""'no checking'"", 'credit_amount': 1520, 'credit_history': ""'critical/other existing credit'"", 'duration': 15, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 63-year-old male German Foreigner is applying for a loan of 1520 credits for 15 months for furniture or equipment purposes. He has no checking account and no known savings. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 4 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
433,male,'>=200',24,'critical/other existing credit',radio/tv,3148,'no known savings','1<=X<4',3,none,2,car,31,none,own,2,skilled,1,yes,yes,good,"gender is male, checking_status is '>=200', duration is 24, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 3148, savings_status is 'no known savings', employment is '1<=X<4', installment_commitment is 3, other_parties is none, residence_since is 2, property_magnitude is car, age is 31, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '>=200'
 - duration : 24
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 3148
 - savings_status : 'no known savings'
 - employment : '1<=X<4'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 31
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '>=200'. The duration is 24. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 3148. The savings_status is 'no known savings'. The employment is '1<=X<4'. The installment_commitment is 3. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 31. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&gt;=200'</td>
      <td>24</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>3148</td>
      <td>'no known savings'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>3</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>31</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '>=200' & 24 & 'critical/other existing credit' & radio/tv & 3148 & 'no known savings' & '1<=X<4' & 3 & none & 2 & car & 31 & none & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 31, 'checking_status': ""'>=200'"", 'credit_amount': 3148, 'credit_history': ""'critical/other existing credit'"", 'duration': 24, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'no known savings'""}",A 31-year-old male German Foreigner is applying for a loan of 3148 credits for 24 months for radio or tv purposes. He has a checking account with 200 Deutsche Mark or more and no known savings. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 2 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 2 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
434,male,'no checking',36,'existing paid',radio/tv,3595,'<100','>=7',4,none,2,car,28,none,own,1,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 36, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 3595, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is car, age is 28, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 36
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 3595
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 28
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 36. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 3595. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 28. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>36</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>3595</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>28</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 36 & 'existing paid' & radio/tv & 3595 & '<100' & '>=7' & 4 & none & 2 & car & 28 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 28, 'checking_status': ""'no checking'"", 'credit_amount': 3595, 'credit_history': ""'existing paid'"", 'duration': 36, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 28-year-old male German Foreigner is applying for a loan of 3595 credits for 36 months for radio or tv purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 2 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
435,male,'no checking',36,'no credits/all paid',repairs,2613,'<100','1<=X<4',4,none,2,car,27,none,own,2,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 36, credit_history is 'no credits/all paid', purpose is repairs, credit_amount is 2613, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is car, age is 27, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 36
 - credit_history : 'no credits/all paid'
 - purpose : repairs
 - credit_amount : 2613
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 27
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 36. The credit_history is 'no credits/all paid'. The purpose is repairs. The credit_amount is 2613. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 27. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>36</td>
      <td>'no credits/all paid'</td>
      <td>repairs</td>
      <td>2613</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>27</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 36 & 'no credits/all paid' & repairs & 2613 & '<100' & '1<=X<4' & 4 & none & 2 & car & 27 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 27, 'checking_status': ""'no checking'"", 'credit_amount': 2613, 'credit_history': ""'no credits/all paid'"", 'duration': 36, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'repairs', 'residence_since': 2, 'savings_status': ""'<100'""}",A 27-year-old male German Foreigner is applying for a loan of 2613 credits for 36 months for repairs purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He did not take any credits at this bank or has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 2 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
436,male,'no checking',6,'no credits/all paid',radio/tv,426,'<100','>=7',4,none,4,car,39,none,own,1,'unskilled resident',1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 6, credit_history is 'no credits/all paid', purpose is radio/tv, credit_amount is 426, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is car, age is 39, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 6
 - credit_history : 'no credits/all paid'
 - purpose : radio/tv
 - credit_amount : 426
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 39
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 6. The credit_history is 'no credits/all paid'. The purpose is radio/tv. The credit_amount is 426. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 39. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>6</td>
      <td>'no credits/all paid'</td>
      <td>radio/tv</td>
      <td>426</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>39</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 6 & 'no credits/all paid' & radio/tv & 426 & '<100' & '>=7' & 4 & none & 4 & car & 39 & none & own & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 39, 'checking_status': ""'no checking'"", 'credit_amount': 426, 'credit_history': ""'no credits/all paid'"", 'duration': 6, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'<100'""}",A 39-year-old male German Foreigner is applying for a loan of 426 credits for 6 months for radio or tv purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He did not take any credits at this bank or has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 4 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
437,female,'<0',12,'existing paid','new car',1893,'<100','1<=X<4',4,guarantor,4,'life insurance',29,none,own,1,skilled,1,yes,yes,good,"gender is female, checking_status is '<0', duration is 12, credit_history is 'existing paid', purpose is 'new car', credit_amount is 1893, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is guarantor, residence_since is 4, property_magnitude is 'life insurance', age is 29, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 1893
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : guarantor
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 29
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 12. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 1893. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is guarantor. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 29. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>1893</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>guarantor</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>29</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 12 & 'existing paid' & 'new car' & 1893 & '<100' & '1<=X<4' & 4 & guarantor & 4 & 'life insurance' & 29 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 29, 'checking_status': ""'<0'"", 'credit_amount': 1893, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'guarantor', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 29-year-old female German Foreigner is applying for a loan of 1893 credits for 12 months for new car purposes. She has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There is a guarantor associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for more than one year but less than four years. She has lived in a self-owned house for 4 years.  She owns life insurance property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
438,female,'no checking',24,'critical/other existing credit','new car',1287,'>=1000','>=7',4,none,4,'real estate',37,none,own,2,skilled,1,yes,yes,good,"gender is female, checking_status is 'no checking', duration is 24, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 1287, savings_status is '>=1000', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 37, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 1287
 - savings_status : '>=1000'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 37
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 24. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 1287. The savings_status is '>=1000'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 37. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>1287</td>
      <td>'&gt;=1000'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>37</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 24 & 'critical/other existing credit' & 'new car' & 1287 & '>=1000' & '>=7' & 4 & none & 4 & 'real estate' & 37 & none & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 37, 'checking_status': ""'no checking'"", 'credit_amount': 1287, 'credit_history': ""'critical/other existing credit'"", 'duration': 24, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'>=1000'""}",A 37-year-old female German Foreigner is applying for a loan of 1287 credits for 24 months for new car purposes. She has no checking account and a savings with 1000 Deutsche Mark or more. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 2 credits at this bank. She is employed for more than seven years. She has lived in a self-owned house for 4 years.  She owns some real estate property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
439,male,'<0',36,'delayed previously',business,2145,'<100','4<=X<7',2,none,1,car,24,none,own,2,skilled,1,yes,yes,bad,"gender is male, checking_status is '<0', duration is 36, credit_history is 'delayed previously', purpose is business, credit_amount is 2145, savings_status is '<100', employment is '4<=X<7', installment_commitment is 2, other_parties is none, residence_since is 1, property_magnitude is car, age is 24, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 36
 - credit_history : 'delayed previously'
 - purpose : business
 - credit_amount : 2145
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 1
 - property_magnitude : car
 - age : 24
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 36. The credit_history is 'delayed previously'. The purpose is business. The credit_amount is 2145. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 2. The other_parties is none. The residence_since is 1. The property_magnitude is car. The age is 24. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>36</td>
      <td>'delayed previously'</td>
      <td>business</td>
      <td>2145</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>2</td>
      <td>none</td>
      <td>1</td>
      <td>car</td>
      <td>24</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 36 & 'delayed previously' & business & 2145 & '<100' & '4<=X<7' & 2 & none & 1 & car & 24 & none & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 24, 'checking_status': ""'<0'"", 'credit_amount': 2145, 'credit_history': ""'delayed previously'"", 'duration': 36, 'employment': ""'4<=X<7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'business', 'residence_since': 1, 'savings_status': ""'<100'""}",A 24-year-old male German Foreigner is applying for a loan of 2145 credits for 36 months for business purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 2 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 1 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
440,male,'<0',18,'existing paid',furniture/equipment,2473,'<100',unemployed,4,none,1,car,25,none,own,1,'unemp/unskilled non res',1,none,yes,bad,"gender is male, checking_status is '<0', duration is 18, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 2473, savings_status is '<100', employment is unemployed, installment_commitment is 4, other_parties is none, residence_since is 1, property_magnitude is car, age is 25, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unemp/unskilled non res', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 2473
 - savings_status : '<100'
 - employment : unemployed
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 1
 - property_magnitude : car
 - age : 25
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unemp/unskilled non res'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 18. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 2473. The savings_status is '<100'. The employment is unemployed. The installment_commitment is 4. The other_parties is none. The residence_since is 1. The property_magnitude is car. The age is 25. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unemp/unskilled non res'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>18</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>2473</td>
      <td>'&lt;100'</td>
      <td>unemployed</td>
      <td>4</td>
      <td>none</td>
      <td>1</td>
      <td>car</td>
      <td>25</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unemp/unskilled non res'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 18 & 'existing paid' & furniture/equipment & 2473 & '<100' & unemployed & 4 & none & 1 & car & 25 & none & own & 1 & 'unemp/unskilled non res' & 1 & none & yes \\
\end{tabular}
","{'age': 25, 'checking_status': ""'<0'"", 'credit_amount': 2473, 'credit_history': ""'existing paid'"", 'duration': 18, 'employment': 'unemployed', 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'unemp/unskilled non res'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'furniture/equipment', 'residence_since': 1, 'savings_status': ""'<100'""}",A 25-year-old male German Foreigner is applying for a loan of 2473 credits for 18 months for furniture or equipment purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is unemployed and is recognized as an unemployed or unskilled non-resident individual. He has lived in a self-owned house for 1 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
441,male,'<0',24,'existing paid',furniture/equipment,3149,'<100','<1',4,none,1,'no known property',22,bank,'for free',1,skilled,1,none,yes,good,"gender is male, checking_status is '<0', duration is 24, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 3149, savings_status is '<100', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 1, property_magnitude is 'no known property', age is 22, other_payment_plans is bank, housing is 'for free', existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 3149
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'no known property'
 - age : 22
 - other_payment_plans : bank
 - housing : 'for free'
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 24. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 3149. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 1. The property_magnitude is 'no known property'. The age is 22. The other_payment_plans is bank. The housing is 'for free'. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>3149</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>1</td>
      <td>'no known property'</td>
      <td>22</td>
      <td>bank</td>
      <td>'for free'</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 24 & 'existing paid' & furniture/equipment & 3149 & '<100' & '<1' & 4 & none & 1 & 'no known property' & 22 & bank & 'for free' & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 22, 'checking_status': ""'<0'"", 'credit_amount': 3149, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': ""'no known property'"", 'purpose': 'furniture/equipment', 'residence_since': 1, 'savings_status': ""'<100'""}",A 22-year-old male German Foreigner is applying for a loan of 3149 credits for 24 months for furniture or equipment purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a bank and 1 credits at this bank. He is employed for less than one years. He has lived in a free accommodation for 1 years.  He owns no known property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
442,male,'>=200',18,'existing paid',radio/tv,2100,'<100','1<=X<4',4,'co applicant',2,'real estate',37,stores,own,1,skilled,1,none,yes,bad,"gender is male, checking_status is '>=200', duration is 18, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 2100, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is 'co applicant', residence_since is 2, property_magnitude is 'real estate', age is 37, other_payment_plans is stores, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '>=200'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 2100
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : 'co applicant'
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 37
 - other_payment_plans : stores
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '>=200'. The duration is 18. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 2100. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is 'co applicant'. The residence_since is 2. The property_magnitude is 'real estate'. The age is 37. The other_payment_plans is stores. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&gt;=200'</td>
      <td>18</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>2100</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>'co applicant'</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>37</td>
      <td>stores</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '>=200' & 18 & 'existing paid' & radio/tv & 2100 & '<100' & '1<=X<4' & 4 & 'co applicant' & 2 & 'real estate' & 37 & stores & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 37, 'checking_status': ""'>=200'"", 'credit_amount': 2100, 'credit_history': ""'existing paid'"", 'duration': 18, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': ""'co applicant'"", 'other_payment_plans': 'stores', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 37-year-old male German Foreigner is applying for a loan of 2100 credits for 18 months for radio or tv purposes. He has a checking account with 200 Deutsche Mark or more and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There co-applicant associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a store and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 2 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
443,female,'0<=X<200',30,'existing paid',radio/tv,1715,'no known savings','1<=X<4',4,none,1,car,26,none,own,1,skilled,1,none,yes,good,"gender is female, checking_status is '0<=X<200', duration is 30, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1715, savings_status is 'no known savings', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 1, property_magnitude is car, age is 26, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 30
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1715
 - savings_status : 'no known savings'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 1
 - property_magnitude : car
 - age : 26
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 30. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1715. The savings_status is 'no known savings'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 1. The property_magnitude is car. The age is 26. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>30</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1715</td>
      <td>'no known savings'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>1</td>
      <td>car</td>
      <td>26</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 30 & 'existing paid' & radio/tv & 1715 & 'no known savings' & '1<=X<4' & 4 & none & 1 & car & 26 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 26, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1715, 'credit_history': ""'existing paid'"", 'duration': 30, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 1, 'savings_status': ""'no known savings'""}",A 26-year-old female German Foreigner is applying for a loan of 1715 credits for 30 months for radio or tv purposes. She has a checking account with less than 200 Deutsche Mark and no known savings. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for more than one year but less than four years. She has lived in a self-owned house for 1 years.  She owns a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
444,female,'0<=X<200',60,'all paid',other,14782,'100<=X<500','>=7',3,none,4,'no known property',60,bank,'for free',2,'high qualif/self emp/mgmt',1,yes,yes,bad,"gender is female, checking_status is '0<=X<200', duration is 60, credit_history is 'all paid', purpose is other, credit_amount is 14782, savings_status is '100<=X<500', employment is '>=7', installment_commitment is 3, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 60, other_payment_plans is bank, housing is 'for free', existing_credits is 2, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 60
 - credit_history : 'all paid'
 - purpose : other
 - credit_amount : 14782
 - savings_status : '100<=X<500'
 - employment : '>=7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 60
 - other_payment_plans : bank
 - housing : 'for free'
 - existing_credits : 2
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 60. The credit_history is 'all paid'. The purpose is other. The credit_amount is 14782. The savings_status is '100<=X<500'. The employment is '>=7'. The installment_commitment is 3. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 60. The other_payment_plans is bank. The housing is 'for free'. The existing_credits is 2. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>60</td>
      <td>'all paid'</td>
      <td>other</td>
      <td>14782</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'&gt;=7'</td>
      <td>3</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>60</td>
      <td>bank</td>
      <td>'for free'</td>
      <td>2</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 60 & 'all paid' & other & 14782 & '100<=X<500' & '>=7' & 3 & none & 4 & 'no known property' & 60 & bank & 'for free' & 2 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 60, 'checking_status': ""'0<=X<200'"", 'credit_amount': 14782, 'credit_history': ""'all paid'"", 'duration': 60, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': ""'for free'"", 'installment_commitment': 3, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': 'other', 'residence_since': 4, 'savings_status': ""'100<=X<500'""}",A 60-year-old female German Foreigner is applying for a loan of 14782 credits for 60 months for other purposes. She has a checking account with less than 200 Deutsche Mark and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. She has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. She has other installment plans with a bank and 2 credits at this bank. She is employed for more than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. She has lived in a free accommodation for 4 years.  She owns no known property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
445,male,'no checking',24,'delayed previously','used car',4679,'<100','4<=X<7',3,none,3,car,35,none,own,2,'unskilled resident',1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'delayed previously', purpose is 'used car', credit_amount is 4679, savings_status is '<100', employment is '4<=X<7', installment_commitment is 3, other_parties is none, residence_since is 3, property_magnitude is car, age is 35, other_payment_plans is none, housing is own, existing_credits is 2, job is 'unskilled resident', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'delayed previously'
 - purpose : 'used car'
 - credit_amount : 4679
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 3
 - property_magnitude : car
 - age : 35
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 24. The credit_history is 'delayed previously'. The purpose is 'used car'. The credit_amount is 4679. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 3. The other_parties is none. The residence_since is 3. The property_magnitude is car. The age is 35. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'delayed previously'</td>
      <td>'used car'</td>
      <td>4679</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>3</td>
      <td>none</td>
      <td>3</td>
      <td>car</td>
      <td>35</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 24 & 'delayed previously' & 'used car' & 4679 & '<100' & '4<=X<7' & 3 & none & 3 & car & 35 & none & own & 2 & 'unskilled resident' & 1 & yes & yes \\
\end{tabular}
","{'age': 35, 'checking_status': ""'no checking'"", 'credit_amount': 4679, 'credit_history': ""'delayed previously'"", 'duration': 24, 'employment': ""'4<=X<7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': ""'used car'"", 'residence_since': 3, 'savings_status': ""'<100'""}",A 35-year-old male German Foreigner is applying for a loan of 4679 credits for 24 months for used car purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 2 credits at this bank. He is employed for more than four years but less than seven years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 3 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
446,female,'no checking',15,'existing paid',radio/tv,3568,'<100','>=7',4,none,2,car,54,bank,rent,1,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is female, checking_status is 'no checking', duration is 15, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 3568, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is car, age is 54, other_payment_plans is bank, housing is rent, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 15
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 3568
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 54
 - other_payment_plans : bank
 - housing : rent
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 15. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 3568. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 54. The other_payment_plans is bank. The housing is rent. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>15</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>3568</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>54</td>
      <td>bank</td>
      <td>rent</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 15 & 'existing paid' & radio/tv & 3568 & '<100' & '>=7' & 4 & none & 2 & car & 54 & bank & rent & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 54, 'checking_status': ""'no checking'"", 'credit_amount': 3568, 'credit_history': ""'existing paid'"", 'duration': 15, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 54-year-old female German Foreigner is applying for a loan of 3568 credits for 15 months for radio or tv purposes. She has no checking account and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has other installment plans with a bank and 1 credits at this bank. She is employed for more than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. She has lived in a rented apartment for 2 years.  She owns a car. She owns a telephone and has 1 person that she is liable to provide maintenance for.
447,male,'<0',20,'critical/other existing credit','new car',2235,'<100','1<=X<4',4,guarantor,2,'life insurance',33,bank,rent,2,skilled,1,none,no,bad,"gender is male, checking_status is '<0', duration is 20, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 2235, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is guarantor, residence_since is 2, property_magnitude is 'life insurance', age is 33, other_payment_plans is bank, housing is rent, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is no","- gender : male
 - checking_status : '<0'
 - duration : 20
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 2235
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : guarantor
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 33
 - other_payment_plans : bank
 - housing : rent
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : no",The gender is male. The checking_status is '<0'. The duration is 20. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 2235. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is guarantor. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 33. The other_payment_plans is bank. The housing is rent. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is no,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>20</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>2235</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>guarantor</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>33</td>
      <td>bank</td>
      <td>rent</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>no</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 20 & 'critical/other existing credit' & 'new car' & 2235 & '<100' & '1<=X<4' & 4 & guarantor & 2 & 'life insurance' & 33 & bank & rent & 2 & skilled & 1 & none & no \\
\end{tabular}
","{'age': 33, 'checking_status': ""'<0'"", 'credit_amount': 2235, 'credit_history': ""'critical/other existing credit'"", 'duration': 20, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'no', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'guarantor', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'<100'""}",A 33-year-old male German Citizen is applying for a loan of 2235 credits for 20 months for new car purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There is a guarantor associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a bank and 2 credits at this bank. He is employed for more than one year but less than four years. He has lived in a rented apartment for 2 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
448,female,'0<=X<200',27,'existing paid',business,2528,'<100','<1',4,none,1,'life insurance',32,none,own,1,skilled,2,yes,yes,good,"gender is female, checking_status is '0<=X<200', duration is 27, credit_history is 'existing paid', purpose is business, credit_amount is 2528, savings_status is '<100', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 1, property_magnitude is 'life insurance', age is 32, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 2, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 27
 - credit_history : 'existing paid'
 - purpose : business
 - credit_amount : 2528
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'life insurance'
 - age : 32
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 2
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 27. The credit_history is 'existing paid'. The purpose is business. The credit_amount is 2528. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 1. The property_magnitude is 'life insurance'. The age is 32. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 2. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>27</td>
      <td>'existing paid'</td>
      <td>business</td>
      <td>2528</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>1</td>
      <td>'life insurance'</td>
      <td>32</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>2</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 27 & 'existing paid' & business & 2528 & '<100' & '<1' & 4 & none & 1 & 'life insurance' & 32 & none & own & 1 & skilled & 2 & yes & yes \\
\end{tabular}
","{'age': 32, 'checking_status': ""'0<=X<200'"", 'credit_amount': 2528, 'credit_history': ""'existing paid'"", 'duration': 27, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': 'business', 'residence_since': 1, 'savings_status': ""'<100'""}",A 32-year-old female German Foreigner is applying for a loan of 2528 credits for 27 months for business purposes. She has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for less than one years. She has lived in a self-owned house for 1 years.  She owns life insurance property. She owns a telephone and has 2 people that she is liable to provide maintenance for.
449,male,'no checking',21,'delayed previously','used car',2993,'<100','1<=X<4',3,none,2,'real estate',28,stores,own,2,'unskilled resident',1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 21, credit_history is 'delayed previously', purpose is 'used car', credit_amount is 2993, savings_status is '<100', employment is '1<=X<4', installment_commitment is 3, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 28, other_payment_plans is stores, housing is own, existing_credits is 2, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 21
 - credit_history : 'delayed previously'
 - purpose : 'used car'
 - credit_amount : 2993
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 28
 - other_payment_plans : stores
 - housing : own
 - existing_credits : 2
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 21. The credit_history is 'delayed previously'. The purpose is 'used car'. The credit_amount is 2993. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 3. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 28. The other_payment_plans is stores. The housing is own. The existing_credits is 2. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>21</td>
      <td>'delayed previously'</td>
      <td>'used car'</td>
      <td>2993</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>3</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>28</td>
      <td>stores</td>
      <td>own</td>
      <td>2</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 21 & 'delayed previously' & 'used car' & 2993 & '<100' & '1<=X<4' & 3 & none & 2 & 'real estate' & 28 & stores & own & 2 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 28, 'checking_status': ""'no checking'"", 'credit_amount': 2993, 'credit_history': ""'delayed previously'"", 'duration': 21, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'stores', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'used car'"", 'residence_since': 2, 'savings_status': ""'<100'""}",A 28-year-old male German Foreigner is applying for a loan of 2993 credits for 21 months for used car purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has other installment plans with a store and 2 credits at this bank. He is employed for more than one year but less than four years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 2 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
450,male,'0<=X<200',45,'existing paid',radio/tv,3031,'100<=X<500','1<=X<4',4,guarantor,4,'life insurance',21,none,rent,1,skilled,1,none,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 45, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 3031, savings_status is '100<=X<500', employment is '1<=X<4', installment_commitment is 4, other_parties is guarantor, residence_since is 4, property_magnitude is 'life insurance', age is 21, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 45
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 3031
 - savings_status : '100<=X<500'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : guarantor
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 21
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 45. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 3031. The savings_status is '100<=X<500'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is guarantor. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 21. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>45</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>3031</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>guarantor</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>21</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 45 & 'existing paid' & radio/tv & 3031 & '100<=X<500' & '1<=X<4' & 4 & guarantor & 4 & 'life insurance' & 21 & none & rent & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 21, 'checking_status': ""'0<=X<200'"", 'credit_amount': 3031, 'credit_history': ""'existing paid'"", 'duration': 45, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'guarantor', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'100<=X<500'""}",A 21-year-old male German Foreigner is applying for a loan of 3031 credits for 45 months for radio or tv purposes. He has a checking account with less than 200 Deutsche Mark and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. He has duly paid back credits received from this bank till now. There is a guarantor associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a rented apartment for 4 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
451,male,'no checking',36,'delayed previously','new car',10875,'<100','>=7',2,none,2,car,45,none,own,2,skilled,2,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 36, credit_history is 'delayed previously', purpose is 'new car', credit_amount is 10875, savings_status is '<100', employment is '>=7', installment_commitment is 2, other_parties is none, residence_since is 2, property_magnitude is car, age is 45, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 2, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 36
 - credit_history : 'delayed previously'
 - purpose : 'new car'
 - credit_amount : 10875
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 45
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 2
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 36. The credit_history is 'delayed previously'. The purpose is 'new car'. The credit_amount is 10875. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 2. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 45. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 2. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>36</td>
      <td>'delayed previously'</td>
      <td>'new car'</td>
      <td>10875</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>2</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>45</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>2</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 36 & 'delayed previously' & 'new car' & 10875 & '<100' & '>=7' & 2 & none & 2 & car & 45 & none & own & 2 & skilled & 2 & yes & yes \\
\end{tabular}
","{'age': 45, 'checking_status': ""'no checking'"", 'credit_amount': 10875, 'credit_history': ""'delayed previously'"", 'duration': 36, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'<100'""}",A 45-year-old male German Foreigner is applying for a loan of 10875 credits for 36 months for new car purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 2 years.  He owns a car. He owns a telephone and has 2 people that he is liable to provide maintenance for.
452,male,'no checking',10,'existing paid',furniture/equipment,2210,'<100','1<=X<4',2,none,2,'real estate',25,bank,rent,1,'unskilled resident',1,none,yes,bad,"gender is male, checking_status is 'no checking', duration is 10, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 2210, savings_status is '<100', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 25, other_payment_plans is bank, housing is rent, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 10
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 2210
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 25
 - other_payment_plans : bank
 - housing : rent
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 10. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 2210. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 25. The other_payment_plans is bank. The housing is rent. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>10</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>2210</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>25</td>
      <td>bank</td>
      <td>rent</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 10 & 'existing paid' & furniture/equipment & 2210 & '<100' & '1<=X<4' & 2 & none & 2 & 'real estate' & 25 & bank & rent & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 25, 'checking_status': ""'no checking'"", 'credit_amount': 2210, 'credit_history': ""'existing paid'"", 'duration': 10, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 2, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'furniture/equipment', 'residence_since': 2, 'savings_status': ""'<100'""}",A 25-year-old male German Foreigner is applying for a loan of 2210 credits for 10 months for furniture or equipment purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has other installment plans with a bank and 1 credits at this bank. He is employed for more than one year but less than four years and is recognized as an unskilled resident individual. He has lived in a rented apartment for 2 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
453,male,'0<=X<200',24,'critical/other existing credit',radio/tv,1216,'100<=X<500','<1',4,none,4,'no known property',38,bank,own,2,skilled,2,none,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 24, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 1216, savings_status is '100<=X<500', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 38, other_payment_plans is bank, housing is own, existing_credits is 2, job is skilled, num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 24
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 1216
 - savings_status : '100<=X<500'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 38
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 24. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 1216. The savings_status is '100<=X<500'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 38. The other_payment_plans is bank. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>24</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>1216</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>38</td>
      <td>bank</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 24 & 'critical/other existing credit' & radio/tv & 1216 & '100<=X<500' & '<1' & 4 & none & 4 & 'no known property' & 38 & bank & own & 2 & skilled & 2 & none & yes \\
\end{tabular}
","{'age': 38, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1216, 'credit_history': ""'critical/other existing credit'"", 'duration': 24, 'employment': ""'<1'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': ""'no known property'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'100<=X<500'""}",A 38-year-old male German Foreigner is applying for a loan of 1216 credits for 24 months for radio or tv purposes. He has a checking account with less than 200 Deutsche Mark and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a bank and 2 credits at this bank. He is employed for less than one years. He has lived in a self-owned house for 4 years.  He owns no known property. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
454,male,'<0',11,'critical/other existing credit','new car',3939,'<100','1<=X<4',1,none,2,'real estate',40,none,own,2,'unskilled resident',2,none,yes,good,"gender is male, checking_status is '<0', duration is 11, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 3939, savings_status is '<100', employment is '1<=X<4', installment_commitment is 1, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 40, other_payment_plans is none, housing is own, existing_credits is 2, job is 'unskilled resident', num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 11
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 3939
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 40
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : 'unskilled resident'
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 11. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 3939. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 1. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 40. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is 'unskilled resident'. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>11</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>3939</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>1</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>40</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>'unskilled resident'</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 11 & 'critical/other existing credit' & 'new car' & 3939 & '<100' & '1<=X<4' & 1 & none & 2 & 'real estate' & 40 & none & own & 2 & 'unskilled resident' & 2 & none & yes \\
\end{tabular}
","{'age': 40, 'checking_status': ""'<0'"", 'credit_amount': 3939, 'credit_history': ""'critical/other existing credit'"", 'duration': 11, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 1, 'job': ""'unskilled resident'"", 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'<100'""}",A 40-year-old male German Foreigner is applying for a loan of 3939 credits for 11 months for new car purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 2 credits at this bank. He is employed for more than one year but less than four years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 2 years.  He owns some real estate property. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
455,male,'no checking',24,'delayed previously',business,2375,'500<=X<1000','1<=X<4',4,none,2,car,44,none,own,2,skilled,2,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'delayed previously', purpose is business, credit_amount is 2375, savings_status is '500<=X<1000', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is car, age is 44, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 2, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'delayed previously'
 - purpose : business
 - credit_amount : 2375
 - savings_status : '500<=X<1000'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 44
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 2
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 24. The credit_history is 'delayed previously'. The purpose is business. The credit_amount is 2375. The savings_status is '500<=X<1000'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 44. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 2. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'delayed previously'</td>
      <td>business</td>
      <td>2375</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>44</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>2</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 24 & 'delayed previously' & business & 2375 & '500<=X<1000' & '1<=X<4' & 4 & none & 2 & car & 44 & none & own & 2 & skilled & 2 & yes & yes \\
\end{tabular}
","{'age': 44, 'checking_status': ""'no checking'"", 'credit_amount': 2375, 'credit_history': ""'delayed previously'"", 'duration': 24, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'business', 'residence_since': 2, 'savings_status': ""'500<=X<1000'""}",A 44-year-old male German Foreigner is applying for a loan of 2375 credits for 24 months for business purposes. He has no checking account and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 2 years.  He owns a car. He owns a telephone and has 2 people that he is liable to provide maintenance for.
456,male,'no checking',24,'existing paid',retraining,937,'<100','<1',4,none,3,car,27,none,own,2,'unskilled resident',1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'existing paid', purpose is retraining, credit_amount is 937, savings_status is '<100', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 3, property_magnitude is car, age is 27, other_payment_plans is none, housing is own, existing_credits is 2, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : retraining
 - credit_amount : 937
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : car
 - age : 27
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 24. The credit_history is 'existing paid'. The purpose is retraining. The credit_amount is 937. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 3. The property_magnitude is car. The age is 27. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>retraining</td>
      <td>937</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>car</td>
      <td>27</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 24 & 'existing paid' & retraining & 937 & '<100' & '<1' & 4 & none & 3 & car & 27 & none & own & 2 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 27, 'checking_status': ""'no checking'"", 'credit_amount': 937, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'<1'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'retraining', 'residence_since': 3, 'savings_status': ""'<100'""}",A 27-year-old male German Foreigner is applying for a loan of 937 credits for 24 months for retraining purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for less than one years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 3 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
457,male,'no checking',42,'existing paid',radio/tv,7166,'no known savings','4<=X<7',2,none,4,'life insurance',29,none,rent,1,skilled,1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 42, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 7166, savings_status is 'no known savings', employment is '4<=X<7', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 29, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 42
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 7166
 - savings_status : 'no known savings'
 - employment : '4<=X<7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 29
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 42. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 7166. The savings_status is 'no known savings'. The employment is '4<=X<7'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 29. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>42</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>7166</td>
      <td>'no known savings'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>29</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 42 & 'existing paid' & radio/tv & 7166 & 'no known savings' & '4<=X<7' & 2 & none & 4 & 'life insurance' & 29 & none & rent & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 29, 'checking_status': ""'no checking'"", 'credit_amount': 7166, 'credit_history': ""'existing paid'"", 'duration': 42, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 29-year-old male German Foreigner is applying for a loan of 7166 credits for 42 months for radio or tv purposes. He has no checking account and no known savings. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a rented apartment for 4 years.  He owns life insurance property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
458,male,'no checking',15,'existing paid','domestic appliance',1262,'500<=X<1000','4<=X<7',4,none,3,'life insurance',36,none,own,2,skilled,1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 15, credit_history is 'existing paid', purpose is 'domestic appliance', credit_amount is 1262, savings_status is '500<=X<1000', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 3, property_magnitude is 'life insurance', age is 36, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 15
 - credit_history : 'existing paid'
 - purpose : 'domestic appliance'
 - credit_amount : 1262
 - savings_status : '500<=X<1000'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'life insurance'
 - age : 36
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 15. The credit_history is 'existing paid'. The purpose is 'domestic appliance'. The credit_amount is 1262. The savings_status is '500<=X<1000'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is none. The residence_since is 3. The property_magnitude is 'life insurance'. The age is 36. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>15</td>
      <td>'existing paid'</td>
      <td>'domestic appliance'</td>
      <td>1262</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>'life insurance'</td>
      <td>36</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 15 & 'existing paid' & 'domestic appliance' & 1262 & '500<=X<1000' & '4<=X<7' & 4 & none & 3 & 'life insurance' & 36 & none & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 36, 'checking_status': ""'no checking'"", 'credit_amount': 1262, 'credit_history': ""'existing paid'"", 'duration': 15, 'employment': ""'4<=X<7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': ""'domestic appliance'"", 'residence_since': 3, 'savings_status': ""'500<=X<1000'""}",A 36-year-old male German Foreigner is applying for a loan of 1262 credits for 15 months for domestic appliance purposes. He has no checking account and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 3 years.  He owns life insurance property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
459,female,'no checking',15,'delayed previously','used car',3594,'<100','<1',1,none,2,'life insurance',46,none,own,2,'unskilled resident',1,none,yes,good,"gender is female, checking_status is 'no checking', duration is 15, credit_history is 'delayed previously', purpose is 'used car', credit_amount is 3594, savings_status is '<100', employment is '<1', installment_commitment is 1, other_parties is none, residence_since is 2, property_magnitude is 'life insurance', age is 46, other_payment_plans is none, housing is own, existing_credits is 2, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 15
 - credit_history : 'delayed previously'
 - purpose : 'used car'
 - credit_amount : 3594
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 46
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 15. The credit_history is 'delayed previously'. The purpose is 'used car'. The credit_amount is 3594. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 1. The other_parties is none. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 46. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>15</td>
      <td>'delayed previously'</td>
      <td>'used car'</td>
      <td>3594</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>1</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>46</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 15 & 'delayed previously' & 'used car' & 3594 & '<100' & '<1' & 1 & none & 2 & 'life insurance' & 46 & none & own & 2 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 46, 'checking_status': ""'no checking'"", 'credit_amount': 3594, 'credit_history': ""'delayed previously'"", 'duration': 15, 'employment': ""'<1'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 1, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': ""'used car'"", 'residence_since': 2, 'savings_status': ""'<100'""}",A 46-year-old female German Foreigner is applying for a loan of 3594 credits for 15 months for used car purposes. She has no checking account and a savings acccount with less than 100 Deutsche Mark. She has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. She has no other installment plans and 2 credits at this bank. She is employed for less than one years and is recognized as an unskilled resident individual. She has lived in a self-owned house for 2 years.  She owns life insurance property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
460,male,'>=200',36,'existing paid',radio/tv,5848,'<100','1<=X<4',4,none,1,car,24,none,own,1,skilled,1,none,yes,good,"gender is male, checking_status is '>=200', duration is 36, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 5848, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 1, property_magnitude is car, age is 24, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '>=200'
 - duration : 36
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 5848
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 1
 - property_magnitude : car
 - age : 24
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '>=200'. The duration is 36. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 5848. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 1. The property_magnitude is car. The age is 24. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&gt;=200'</td>
      <td>36</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>5848</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>1</td>
      <td>car</td>
      <td>24</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '>=200' & 36 & 'existing paid' & radio/tv & 5848 & '<100' & '1<=X<4' & 4 & none & 1 & car & 24 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 24, 'checking_status': ""'>=200'"", 'credit_amount': 5848, 'credit_history': ""'existing paid'"", 'duration': 36, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 1, 'savings_status': ""'<100'""}",A 24-year-old male German Foreigner is applying for a loan of 5848 credits for 36 months for radio or tv purposes. He has a checking account with 200 Deutsche Mark or more and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 1 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
461,female,'0<=X<200',18,'critical/other existing credit',radio/tv,1795,'<100','>=7',3,guarantor,4,'real estate',48,bank,rent,2,'unskilled resident',1,yes,yes,good,"gender is female, checking_status is '0<=X<200', duration is 18, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 1795, savings_status is '<100', employment is '>=7', installment_commitment is 3, other_parties is guarantor, residence_since is 4, property_magnitude is 'real estate', age is 48, other_payment_plans is bank, housing is rent, existing_credits is 2, job is 'unskilled resident', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 18
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 1795
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 3
 - other_parties : guarantor
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 48
 - other_payment_plans : bank
 - housing : rent
 - existing_credits : 2
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 18. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 1795. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 3. The other_parties is guarantor. The residence_since is 4. The property_magnitude is 'real estate'. The age is 48. The other_payment_plans is bank. The housing is rent. The existing_credits is 2. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>18</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>1795</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>3</td>
      <td>guarantor</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>48</td>
      <td>bank</td>
      <td>rent</td>
      <td>2</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 18 & 'critical/other existing credit' & radio/tv & 1795 & '<100' & '>=7' & 3 & guarantor & 4 & 'real estate' & 48 & bank & rent & 2 & 'unskilled resident' & 1 & yes & yes \\
\end{tabular}
","{'age': 48, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1795, 'credit_history': ""'critical/other existing credit'"", 'duration': 18, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 3, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'guarantor', 'other_payment_plans': 'bank', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'<100'""}",A 48-year-old female German Foreigner is applying for a loan of 1795 credits for 18 months for radio or tv purposes. She has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has critical account or has other credits existing but not at this bank. There is a guarantor associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. She has other installment plans with a bank and 2 credits at this bank. She is employed for more than seven years and is recognized as an unskilled resident individual. She has lived in a rented apartment for 4 years.  She owns some real estate property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
462,male,'<0',36,'existing paid',furniture/equipment,3959,'<100',unemployed,4,none,3,'life insurance',30,none,own,1,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is male, checking_status is '<0', duration is 36, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 3959, savings_status is '<100', employment is unemployed, installment_commitment is 4, other_parties is none, residence_since is 3, property_magnitude is 'life insurance', age is 30, other_payment_plans is none, housing is own, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 36
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 3959
 - savings_status : '<100'
 - employment : unemployed
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'life insurance'
 - age : 30
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 36. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 3959. The savings_status is '<100'. The employment is unemployed. The installment_commitment is 4. The other_parties is none. The residence_since is 3. The property_magnitude is 'life insurance'. The age is 30. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>36</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>3959</td>
      <td>'&lt;100'</td>
      <td>unemployed</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>'life insurance'</td>
      <td>30</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 36 & 'existing paid' & furniture/equipment & 3959 & '<100' & unemployed & 4 & none & 3 & 'life insurance' & 30 & none & own & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 30, 'checking_status': ""'<0'"", 'credit_amount': 3959, 'credit_history': ""'existing paid'"", 'duration': 36, 'employment': 'unemployed', 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 3, 'savings_status': ""'<100'""}",A 30-year-old male German Foreigner is applying for a loan of 3959 credits for 36 months for furniture or equipment purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is unemployed and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 3 years.  He owns life insurance property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
463,female,'<0',24,'existing paid','new car',1285,'no known savings','4<=X<7',4,none,4,'no known property',32,none,rent,1,skilled,1,none,yes,bad,"gender is female, checking_status is '<0', duration is 24, credit_history is 'existing paid', purpose is 'new car', credit_amount is 1285, savings_status is 'no known savings', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 32, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 1285
 - savings_status : 'no known savings'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 32
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 24. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 1285. The savings_status is 'no known savings'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 32. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>1285</td>
      <td>'no known savings'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>32</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 24 & 'existing paid' & 'new car' & 1285 & 'no known savings' & '4<=X<7' & 4 & none & 4 & 'no known property' & 32 & none & rent & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 32, 'checking_status': ""'<0'"", 'credit_amount': 1285, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'no known property'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 32-year-old female German Foreigner is applying for a loan of 1285 credits for 24 months for new car purposes. She has a checking account with 0 Deutsche Mark and no known savings. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for more than four years but less than seven years. She has lived in a rented apartment for 4 years.  She owns no known property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
464,female,'>=200',15,'existing paid',education,392,'<100','<1',4,none,4,'life insurance',23,none,rent,1,skilled,1,yes,yes,good,"gender is female, checking_status is '>=200', duration is 15, credit_history is 'existing paid', purpose is education, credit_amount is 392, savings_status is '<100', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 23, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '>=200'
 - duration : 15
 - credit_history : 'existing paid'
 - purpose : education
 - credit_amount : 392
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 23
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '>=200'. The duration is 15. The credit_history is 'existing paid'. The purpose is education. The credit_amount is 392. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 23. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&gt;=200'</td>
      <td>15</td>
      <td>'existing paid'</td>
      <td>education</td>
      <td>392</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>23</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '>=200' & 15 & 'existing paid' & education & 392 & '<100' & '<1' & 4 & none & 4 & 'life insurance' & 23 & none & rent & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 23, 'checking_status': ""'>=200'"", 'credit_amount': 392, 'credit_history': ""'existing paid'"", 'duration': 15, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': 'education', 'residence_since': 4, 'savings_status': ""'<100'""}",A 23-year-old female German Foreigner is applying for a loan of 392 credits for 15 months for education purposes. She has a checking account with 200 Deutsche Mark or more and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for less than one years. She has lived in a rented apartment for 4 years.  She owns life insurance property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
465,male,'0<=X<200',48,'existing paid',radio/tv,10961,'>=1000','4<=X<7',1,'co applicant',2,'no known property',27,bank,own,2,skilled,1,yes,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 48, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 10961, savings_status is '>=1000', employment is '4<=X<7', installment_commitment is 1, other_parties is 'co applicant', residence_since is 2, property_magnitude is 'no known property', age is 27, other_payment_plans is bank, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 48
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 10961
 - savings_status : '>=1000'
 - employment : '4<=X<7'
 - installment_commitment : 1
 - other_parties : 'co applicant'
 - residence_since : 2
 - property_magnitude : 'no known property'
 - age : 27
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 48. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 10961. The savings_status is '>=1000'. The employment is '4<=X<7'. The installment_commitment is 1. The other_parties is 'co applicant'. The residence_since is 2. The property_magnitude is 'no known property'. The age is 27. The other_payment_plans is bank. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>48</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>10961</td>
      <td>'&gt;=1000'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>1</td>
      <td>'co applicant'</td>
      <td>2</td>
      <td>'no known property'</td>
      <td>27</td>
      <td>bank</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 48 & 'existing paid' & radio/tv & 10961 & '>=1000' & '4<=X<7' & 1 & 'co applicant' & 2 & 'no known property' & 27 & bank & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 27, 'checking_status': ""'0<=X<200'"", 'credit_amount': 10961, 'credit_history': ""'existing paid'"", 'duration': 48, 'employment': ""'4<=X<7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': ""'co applicant'"", 'other_payment_plans': 'bank', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'>=1000'""}",A 27-year-old male German Foreigner is applying for a loan of 10961 credits for 48 months for radio or tv purposes. He has a checking account with less than 200 Deutsche Mark and a savings with 1000 Deutsche Mark or more. He has duly paid back credits received from this bank till now. There co-applicant associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has other installment plans with a bank and 2 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 2 years.  He owns no known property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
466,male,'no checking',9,'existing paid',radio/tv,2753,'100<=X<500','>=7',3,'co applicant',4,car,35,none,own,1,skilled,1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 9, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 2753, savings_status is '100<=X<500', employment is '>=7', installment_commitment is 3, other_parties is 'co applicant', residence_since is 4, property_magnitude is car, age is 35, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 9
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 2753
 - savings_status : '100<=X<500'
 - employment : '>=7'
 - installment_commitment : 3
 - other_parties : 'co applicant'
 - residence_since : 4
 - property_magnitude : car
 - age : 35
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 9. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 2753. The savings_status is '100<=X<500'. The employment is '>=7'. The installment_commitment is 3. The other_parties is 'co applicant'. The residence_since is 4. The property_magnitude is car. The age is 35. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>9</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>2753</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'&gt;=7'</td>
      <td>3</td>
      <td>'co applicant'</td>
      <td>4</td>
      <td>car</td>
      <td>35</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 9 & 'existing paid' & radio/tv & 2753 & '100<=X<500' & '>=7' & 3 & 'co applicant' & 4 & car & 35 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 35, 'checking_status': ""'no checking'"", 'credit_amount': 2753, 'credit_history': ""'existing paid'"", 'duration': 9, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': ""'co applicant'"", 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'100<=X<500'""}",A 35-year-old male German Foreigner is applying for a loan of 2753 credits for 9 months for radio or tv purposes. He has no checking account and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. He has duly paid back credits received from this bank till now. There co-applicant associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 4 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
467,male,'0<=X<200',9,'critical/other existing credit',furniture/equipment,1919,'<100','4<=X<7',4,none,3,car,35,none,rent,1,skilled,1,yes,yes,good,"gender is male, checking_status is '0<=X<200', duration is 9, credit_history is 'critical/other existing credit', purpose is furniture/equipment, credit_amount is 1919, savings_status is '<100', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 3, property_magnitude is car, age is 35, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 9
 - credit_history : 'critical/other existing credit'
 - purpose : furniture/equipment
 - credit_amount : 1919
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : car
 - age : 35
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 9. The credit_history is 'critical/other existing credit'. The purpose is furniture/equipment. The credit_amount is 1919. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is none. The residence_since is 3. The property_magnitude is car. The age is 35. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>9</td>
      <td>'critical/other existing credit'</td>
      <td>furniture/equipment</td>
      <td>1919</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>car</td>
      <td>35</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 9 & 'critical/other existing credit' & furniture/equipment & 1919 & '<100' & '4<=X<7' & 4 & none & 3 & car & 35 & none & rent & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 35, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1919, 'credit_history': ""'critical/other existing credit'"", 'duration': 9, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'furniture/equipment', 'residence_since': 3, 'savings_status': ""'<100'""}",A 35-year-old male German Foreigner is applying for a loan of 1919 credits for 9 months for furniture or equipment purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a rented apartment for 3 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
468,male,'0<=X<200',12,'existing paid','used car',2028,'no known savings','1<=X<4',4,none,2,car,30,none,own,1,skilled,1,none,yes,good,"gender is male, checking_status is '0<=X<200', duration is 12, credit_history is 'existing paid', purpose is 'used car', credit_amount is 2028, savings_status is 'no known savings', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is car, age is 30, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : 'used car'
 - credit_amount : 2028
 - savings_status : 'no known savings'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 30
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 12. The credit_history is 'existing paid'. The purpose is 'used car'. The credit_amount is 2028. The savings_status is 'no known savings'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 30. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>'used car'</td>
      <td>2028</td>
      <td>'no known savings'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>30</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 12 & 'existing paid' & 'used car' & 2028 & 'no known savings' & '1<=X<4' & 4 & none & 2 & car & 30 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 30, 'checking_status': ""'0<=X<200'"", 'credit_amount': 2028, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': ""'used car'"", 'residence_since': 2, 'savings_status': ""'no known savings'""}",A 30-year-old male German Foreigner is applying for a loan of 2028 credits for 12 months for used car purposes. He has a checking account with less than 200 Deutsche Mark and no known savings. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 2 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
469,female,'0<=X<200',18,'existing paid','new car',1042,'no known savings','1<=X<4',4,none,2,'life insurance',33,none,own,1,skilled,1,none,yes,bad,"gender is female, checking_status is '0<=X<200', duration is 18, credit_history is 'existing paid', purpose is 'new car', credit_amount is 1042, savings_status is 'no known savings', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is 'life insurance', age is 33, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 1042
 - savings_status : 'no known savings'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 33
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 18. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 1042. The savings_status is 'no known savings'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 33. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>18</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>1042</td>
      <td>'no known savings'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>33</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 18 & 'existing paid' & 'new car' & 1042 & 'no known savings' & '1<=X<4' & 4 & none & 2 & 'life insurance' & 33 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 33, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1042, 'credit_history': ""'existing paid'"", 'duration': 18, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'no known savings'""}",A 33-year-old female German Foreigner is applying for a loan of 1042 credits for 18 months for new car purposes. She has a checking account with less than 200 Deutsche Mark and no known savings. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for more than one year but less than four years. She has lived in a self-owned house for 2 years.  She owns life insurance property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
470,female,'<0',6,'existing paid',furniture/equipment,428,'<100','>=7',2,none,1,'life insurance',49,bank,own,1,skilled,1,yes,yes,good,"gender is female, checking_status is '<0', duration is 6, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 428, savings_status is '<100', employment is '>=7', installment_commitment is 2, other_parties is none, residence_since is 1, property_magnitude is 'life insurance', age is 49, other_payment_plans is bank, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 6
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 428
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'life insurance'
 - age : 49
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 6. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 428. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 2. The other_parties is none. The residence_since is 1. The property_magnitude is 'life insurance'. The age is 49. The other_payment_plans is bank. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>6</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>428</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>2</td>
      <td>none</td>
      <td>1</td>
      <td>'life insurance'</td>
      <td>49</td>
      <td>bank</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 6 & 'existing paid' & furniture/equipment & 428 & '<100' & '>=7' & 2 & none & 1 & 'life insurance' & 49 & bank & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 49, 'checking_status': ""'<0'"", 'credit_amount': 428, 'credit_history': ""'existing paid'"", 'duration': 6, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 1, 'savings_status': ""'<100'""}",A 49-year-old female German Foreigner is applying for a loan of 428 credits for 6 months for furniture or equipment purposes. She has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has other installment plans with a bank and 1 credits at this bank. She is employed for more than seven years. She has lived in a self-owned house for 1 years.  She owns life insurance property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
471,male,'<0',9,'critical/other existing credit','new car',2799,'<100','1<=X<4',2,none,2,'real estate',36,none,rent,2,skilled,2,none,yes,good,"gender is male, checking_status is '<0', duration is 9, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 2799, savings_status is '<100', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 36, other_payment_plans is none, housing is rent, existing_credits is 2, job is skilled, num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 9
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 2799
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 36
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 2
 - job : skilled
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 9. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 2799. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 36. The other_payment_plans is none. The housing is rent. The existing_credits is 2. The job is skilled. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>9</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>2799</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>36</td>
      <td>none</td>
      <td>rent</td>
      <td>2</td>
      <td>skilled</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 9 & 'critical/other existing credit' & 'new car' & 2799 & '<100' & '1<=X<4' & 2 & none & 2 & 'real estate' & 36 & none & rent & 2 & skilled & 2 & none & yes \\
\end{tabular}
","{'age': 36, 'checking_status': ""'<0'"", 'credit_amount': 2799, 'credit_history': ""'critical/other existing credit'"", 'duration': 9, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'<100'""}",A 36-year-old male German Foreigner is applying for a loan of 2799 credits for 9 months for new car purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 2 credits at this bank. He is employed for more than one year but less than four years. He has lived in a rented apartment for 2 years.  He owns some real estate property. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
472,male,'0<=X<200',39,'critical/other existing credit',radio/tv,4933,'<100','4<=X<7',2,guarantor,2,'real estate',25,none,own,2,skilled,1,none,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 39, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 4933, savings_status is '<100', employment is '4<=X<7', installment_commitment is 2, other_parties is guarantor, residence_since is 2, property_magnitude is 'real estate', age is 25, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 39
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 4933
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 2
 - other_parties : guarantor
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 25
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 39. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 4933. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 2. The other_parties is guarantor. The residence_since is 2. The property_magnitude is 'real estate'. The age is 25. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>39</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>4933</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>2</td>
      <td>guarantor</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>25</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 39 & 'critical/other existing credit' & radio/tv & 4933 & '<100' & '4<=X<7' & 2 & guarantor & 2 & 'real estate' & 25 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 25, 'checking_status': ""'0<=X<200'"", 'credit_amount': 4933, 'credit_history': ""'critical/other existing credit'"", 'duration': 39, 'employment': ""'4<=X<7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'guarantor', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 25-year-old male German Foreigner is applying for a loan of 4933 credits for 39 months for radio or tv purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There is a guarantor associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 2 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 2 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
473,male,'no checking',60,'existing paid','new car',10366,'<100','>=7',2,none,4,'life insurance',42,none,own,1,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 60, credit_history is 'existing paid', purpose is 'new car', credit_amount is 10366, savings_status is '<100', employment is '>=7', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 42, other_payment_plans is none, housing is own, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 60
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 10366
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 42
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 60. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 10366. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 42. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>60</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>10366</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>42</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 60 & 'existing paid' & 'new car' & 10366 & '<100' & '>=7' & 2 & none & 4 & 'life insurance' & 42 & none & own & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 42, 'checking_status': ""'no checking'"", 'credit_amount': 10366, 'credit_history': ""'existing paid'"", 'duration': 60, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 42-year-old male German Foreigner is applying for a loan of 10366 credits for 60 months for new car purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 4 years.  He owns life insurance property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
474,male,'0<=X<200',12,'critical/other existing credit','new car',2366,'500<=X<1000','4<=X<7',3,none,3,car,36,none,own,1,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is male, checking_status is '0<=X<200', duration is 12, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 2366, savings_status is '500<=X<1000', employment is '4<=X<7', installment_commitment is 3, other_parties is none, residence_since is 3, property_magnitude is car, age is 36, other_payment_plans is none, housing is own, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 12
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 2366
 - savings_status : '500<=X<1000'
 - employment : '4<=X<7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 3
 - property_magnitude : car
 - age : 36
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 12. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 2366. The savings_status is '500<=X<1000'. The employment is '4<=X<7'. The installment_commitment is 3. The other_parties is none. The residence_since is 3. The property_magnitude is car. The age is 36. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>12</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>2366</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>3</td>
      <td>none</td>
      <td>3</td>
      <td>car</td>
      <td>36</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 12 & 'critical/other existing credit' & 'new car' & 2366 & '500<=X<1000' & '4<=X<7' & 3 & none & 3 & car & 36 & none & own & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 36, 'checking_status': ""'0<=X<200'"", 'credit_amount': 2366, 'credit_history': ""'critical/other existing credit'"", 'duration': 12, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 3, 'savings_status': ""'500<=X<1000'""}",A 36-year-old male German Foreigner is applying for a loan of 2366 credits for 12 months for new car purposes. He has a checking account with less than 200 Deutsche Mark and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 1 credits at this bank. He is employed for more than four years but less than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 3 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
475,male,'no checking',18,'existing paid','used car',3378,'no known savings','1<=X<4',2,none,1,'life insurance',31,none,own,1,skilled,1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 18, credit_history is 'existing paid', purpose is 'used car', credit_amount is 3378, savings_status is 'no known savings', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 1, property_magnitude is 'life insurance', age is 31, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : 'used car'
 - credit_amount : 3378
 - savings_status : 'no known savings'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'life insurance'
 - age : 31
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 18. The credit_history is 'existing paid'. The purpose is 'used car'. The credit_amount is 3378. The savings_status is 'no known savings'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 1. The property_magnitude is 'life insurance'. The age is 31. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>18</td>
      <td>'existing paid'</td>
      <td>'used car'</td>
      <td>3378</td>
      <td>'no known savings'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>1</td>
      <td>'life insurance'</td>
      <td>31</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 18 & 'existing paid' & 'used car' & 3378 & 'no known savings' & '1<=X<4' & 2 & none & 1 & 'life insurance' & 31 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 31, 'checking_status': ""'no checking'"", 'credit_amount': 3378, 'credit_history': ""'existing paid'"", 'duration': 18, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': ""'used car'"", 'residence_since': 1, 'savings_status': ""'no known savings'""}",A 31-year-old male German Foreigner is applying for a loan of 3378 credits for 18 months for used car purposes. He has no checking account and no known savings. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 1 years.  He owns life insurance property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
476,male,'no checking',10,'existing paid',radio/tv,1924,'<100','1<=X<4',1,none,4,'life insurance',38,none,own,1,skilled,1,yes,no,good,"gender is male, checking_status is 'no checking', duration is 10, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1924, savings_status is '<100', employment is '1<=X<4', installment_commitment is 1, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 38, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is no","- gender : male
 - checking_status : 'no checking'
 - duration : 10
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1924
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 38
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : no",The gender is male. The checking_status is 'no checking'. The duration is 10. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1924. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 1. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 38. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is no,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>10</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1924</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>1</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>38</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>no</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 10 & 'existing paid' & radio/tv & 1924 & '<100' & '1<=X<4' & 1 & none & 4 & 'life insurance' & 38 & none & own & 1 & skilled & 1 & yes & no \\
\end{tabular}
","{'age': 38, 'checking_status': ""'no checking'"", 'credit_amount': 1924, 'credit_history': ""'existing paid'"", 'duration': 10, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'no', 'gender': 'male', 'housing': 'own', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'<100'""}",A 38-year-old male German Citizen is applying for a loan of 1924 credits for 10 months for radio or tv purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 4 years.  He owns life insurance property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
477,male,'no checking',14,'delayed previously','new car',802,'<100','1<=X<4',4,none,2,car,27,none,own,2,'unskilled resident',1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 14, credit_history is 'delayed previously', purpose is 'new car', credit_amount is 802, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is car, age is 27, other_payment_plans is none, housing is own, existing_credits is 2, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 14
 - credit_history : 'delayed previously'
 - purpose : 'new car'
 - credit_amount : 802
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 27
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 14. The credit_history is 'delayed previously'. The purpose is 'new car'. The credit_amount is 802. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 27. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>14</td>
      <td>'delayed previously'</td>
      <td>'new car'</td>
      <td>802</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>27</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 14 & 'delayed previously' & 'new car' & 802 & '<100' & '1<=X<4' & 4 & none & 2 & car & 27 & none & own & 2 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 27, 'checking_status': ""'no checking'"", 'credit_amount': 802, 'credit_history': ""'delayed previously'"", 'duration': 14, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'<100'""}",A 27-year-old male German Foreigner is applying for a loan of 802 credits for 14 months for new car purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than one year but less than four years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 2 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
478,female,'0<=X<200',48,'no credits/all paid','new car',8358,'500<=X<1000','<1',1,none,1,car,30,none,own,2,skilled,1,none,yes,good,"gender is female, checking_status is '0<=X<200', duration is 48, credit_history is 'no credits/all paid', purpose is 'new car', credit_amount is 8358, savings_status is '500<=X<1000', employment is '<1', installment_commitment is 1, other_parties is none, residence_since is 1, property_magnitude is car, age is 30, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 48
 - credit_history : 'no credits/all paid'
 - purpose : 'new car'
 - credit_amount : 8358
 - savings_status : '500<=X<1000'
 - employment : '<1'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 1
 - property_magnitude : car
 - age : 30
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 48. The credit_history is 'no credits/all paid'. The purpose is 'new car'. The credit_amount is 8358. The savings_status is '500<=X<1000'. The employment is '<1'. The installment_commitment is 1. The other_parties is none. The residence_since is 1. The property_magnitude is car. The age is 30. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>48</td>
      <td>'no credits/all paid'</td>
      <td>'new car'</td>
      <td>8358</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>'&lt;1'</td>
      <td>1</td>
      <td>none</td>
      <td>1</td>
      <td>car</td>
      <td>30</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 48 & 'no credits/all paid' & 'new car' & 8358 & '500<=X<1000' & '<1' & 1 & none & 1 & car & 30 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 30, 'checking_status': ""'0<=X<200'"", 'credit_amount': 8358, 'credit_history': ""'no credits/all paid'"", 'duration': 48, 'employment': ""'<1'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 1, 'savings_status': ""'500<=X<1000'""}",A 30-year-old female German Foreigner is applying for a loan of 8358 credits for 48 months for new car purposes. She has a checking account with less than 200 Deutsche Mark and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. She did not take any credits at this bank or has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. She has no other installment plans and 2 credits at this bank. She is employed for less than one years. She has lived in a self-owned house for 1 years.  She owns a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
479,male,'0<=X<200',12,'critical/other existing credit','domestic appliance',1424,'<100','4<=X<7',4,none,3,'life insurance',26,none,own,1,skilled,1,none,yes,good,"gender is male, checking_status is '0<=X<200', duration is 12, credit_history is 'critical/other existing credit', purpose is 'domestic appliance', credit_amount is 1424, savings_status is '<100', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 3, property_magnitude is 'life insurance', age is 26, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 12
 - credit_history : 'critical/other existing credit'
 - purpose : 'domestic appliance'
 - credit_amount : 1424
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'life insurance'
 - age : 26
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 12. The credit_history is 'critical/other existing credit'. The purpose is 'domestic appliance'. The credit_amount is 1424. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is none. The residence_since is 3. The property_magnitude is 'life insurance'. The age is 26. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>12</td>
      <td>'critical/other existing credit'</td>
      <td>'domestic appliance'</td>
      <td>1424</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>'life insurance'</td>
      <td>26</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 12 & 'critical/other existing credit' & 'domestic appliance' & 1424 & '<100' & '4<=X<7' & 4 & none & 3 & 'life insurance' & 26 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 26, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1424, 'credit_history': ""'critical/other existing credit'"", 'duration': 12, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': ""'domestic appliance'"", 'residence_since': 3, 'savings_status': ""'<100'""}",A 26-year-old male German Foreigner is applying for a loan of 1424 credits for 12 months for domestic appliance purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 3 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
480,female,'0<=X<200',30,'no credits/all paid',business,4221,'<100','1<=X<4',2,none,1,car,28,none,own,2,skilled,1,none,yes,good,"gender is female, checking_status is '0<=X<200', duration is 30, credit_history is 'no credits/all paid', purpose is business, credit_amount is 4221, savings_status is '<100', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 1, property_magnitude is car, age is 28, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 30
 - credit_history : 'no credits/all paid'
 - purpose : business
 - credit_amount : 4221
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 1
 - property_magnitude : car
 - age : 28
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 30. The credit_history is 'no credits/all paid'. The purpose is business. The credit_amount is 4221. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 1. The property_magnitude is car. The age is 28. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>30</td>
      <td>'no credits/all paid'</td>
      <td>business</td>
      <td>4221</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>1</td>
      <td>car</td>
      <td>28</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 30 & 'no credits/all paid' & business & 4221 & '<100' & '1<=X<4' & 2 & none & 1 & car & 28 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 28, 'checking_status': ""'0<=X<200'"", 'credit_amount': 4221, 'credit_history': ""'no credits/all paid'"", 'duration': 30, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'business', 'residence_since': 1, 'savings_status': ""'<100'""}",A 28-year-old female German Foreigner is applying for a loan of 4221 credits for 30 months for business purposes. She has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She did not take any credits at this bank or has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has no other installment plans and 2 credits at this bank. She is employed for more than one year but less than four years. She has lived in a self-owned house for 1 years.  She owns a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
481,male,'no checking',24,'all paid',business,1559,'<100','4<=X<7',4,none,4,car,50,bank,own,1,skilled,1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'all paid', purpose is business, credit_amount is 1559, savings_status is '<100', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is car, age is 50, other_payment_plans is bank, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'all paid'
 - purpose : business
 - credit_amount : 1559
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 50
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 24. The credit_history is 'all paid'. The purpose is business. The credit_amount is 1559. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 50. The other_payment_plans is bank. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'all paid'</td>
      <td>business</td>
      <td>1559</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>50</td>
      <td>bank</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 24 & 'all paid' & business & 1559 & '<100' & '4<=X<7' & 4 & none & 4 & car & 50 & bank & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 50, 'checking_status': ""'no checking'"", 'credit_amount': 1559, 'credit_history': ""'all paid'"", 'duration': 24, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'business', 'residence_since': 4, 'savings_status': ""'<100'""}",A 50-year-old male German Foreigner is applying for a loan of 1559 credits for 24 months for business purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a bank and 1 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 4 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
482,male,'<0',12,'existing paid',radio/tv,2214,'<100','1<=X<4',4,none,3,'life insurance',24,none,own,1,'unskilled resident',1,none,yes,good,"gender is male, checking_status is '<0', duration is 12, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 2214, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 3, property_magnitude is 'life insurance', age is 24, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 2214
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'life insurance'
 - age : 24
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 12. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 2214. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 3. The property_magnitude is 'life insurance'. The age is 24. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>2214</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>'life insurance'</td>
      <td>24</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 12 & 'existing paid' & radio/tv & 2214 & '<100' & '1<=X<4' & 4 & none & 3 & 'life insurance' & 24 & none & own & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 24, 'checking_status': ""'<0'"", 'credit_amount': 2214, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'radio/tv', 'residence_since': 3, 'savings_status': ""'<100'""}",A 24-year-old male German Foreigner is applying for a loan of 2214 credits for 12 months for radio or tv purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 3 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
483,male,'no checking',12,'existing paid',radio/tv,3059,'>=1000','4<=X<7',2,none,4,'real estate',61,none,own,1,'unskilled resident',1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 12, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 3059, savings_status is '>=1000', employment is '4<=X<7', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 61, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 3059
 - savings_status : '>=1000'
 - employment : '4<=X<7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 61
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 12. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 3059. The savings_status is '>=1000'. The employment is '4<=X<7'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 61. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>3059</td>
      <td>'&gt;=1000'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>61</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 12 & 'existing paid' & radio/tv & 3059 & '>=1000' & '4<=X<7' & 2 & none & 4 & 'real estate' & 61 & none & own & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 61, 'checking_status': ""'no checking'"", 'credit_amount': 3059, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'>=1000'""}",A 61-year-old male German Foreigner is applying for a loan of 3059 credits for 12 months for radio or tv purposes. He has no checking account and a savings with 1000 Deutsche Mark or more. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for more than four years but less than seven years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 4 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
484,male,'no checking',12,'critical/other existing credit',radio/tv,930,'no known savings','>=7',4,none,4,'real estate',65,none,own,4,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 12, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 930, savings_status is 'no known savings', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 65, other_payment_plans is none, housing is own, existing_credits is 4, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 930
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 65
 - other_payment_plans : none
 - housing : own
 - existing_credits : 4
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 12. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 930. The savings_status is 'no known savings'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 65. The other_payment_plans is none. The housing is own. The existing_credits is 4. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>12</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>930</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>65</td>
      <td>none</td>
      <td>own</td>
      <td>4</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 12 & 'critical/other existing credit' & radio/tv & 930 & 'no known savings' & '>=7' & 4 & none & 4 & 'real estate' & 65 & none & own & 4 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 65, 'checking_status': ""'no checking'"", 'credit_amount': 930, 'credit_history': ""'critical/other existing credit'"", 'duration': 12, 'employment': ""'>=7'"", 'existing_credits': 4, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 65-year-old male German Foreigner is applying for a loan of 930 credits for 12 months for radio or tv purposes. He has no checking account and no known savings. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 4 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 4 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
485,male,'no checking',48,'critical/other existing credit',education,6110,'<100','1<=X<4',1,none,3,'no known property',31,bank,'for free',1,skilled,1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 48, credit_history is 'critical/other existing credit', purpose is education, credit_amount is 6110, savings_status is '<100', employment is '1<=X<4', installment_commitment is 1, other_parties is none, residence_since is 3, property_magnitude is 'no known property', age is 31, other_payment_plans is bank, housing is 'for free', existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 48
 - credit_history : 'critical/other existing credit'
 - purpose : education
 - credit_amount : 6110
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'no known property'
 - age : 31
 - other_payment_plans : bank
 - housing : 'for free'
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 48. The credit_history is 'critical/other existing credit'. The purpose is education. The credit_amount is 6110. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 1. The other_parties is none. The residence_since is 3. The property_magnitude is 'no known property'. The age is 31. The other_payment_plans is bank. The housing is 'for free'. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>48</td>
      <td>'critical/other existing credit'</td>
      <td>education</td>
      <td>6110</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>1</td>
      <td>none</td>
      <td>3</td>
      <td>'no known property'</td>
      <td>31</td>
      <td>bank</td>
      <td>'for free'</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 48 & 'critical/other existing credit' & education & 6110 & '<100' & '1<=X<4' & 1 & none & 3 & 'no known property' & 31 & bank & 'for free' & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 31, 'checking_status': ""'no checking'"", 'credit_amount': 6110, 'credit_history': ""'critical/other existing credit'"", 'duration': 48, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': 'education', 'residence_since': 3, 'savings_status': ""'<100'""}",A 31-year-old male German Foreigner is applying for a loan of 6110 credits for 48 months for education purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has other installment plans with a bank and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a free accommodation for 3 years.  He owns no known property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
486,male,'no checking',12,'no credits/all paid',furniture/equipment,2759,'<100','>=7',2,none,4,'life insurance',34,none,own,2,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 12, credit_history is 'no credits/all paid', purpose is furniture/equipment, credit_amount is 2759, savings_status is '<100', employment is '>=7', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 34, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'no credits/all paid'
 - purpose : furniture/equipment
 - credit_amount : 2759
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 34
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 12. The credit_history is 'no credits/all paid'. The purpose is furniture/equipment. The credit_amount is 2759. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 34. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>12</td>
      <td>'no credits/all paid'</td>
      <td>furniture/equipment</td>
      <td>2759</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>34</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 12 & 'no credits/all paid' & furniture/equipment & 2759 & '<100' & '>=7' & 2 & none & 4 & 'life insurance' & 34 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 34, 'checking_status': ""'no checking'"", 'credit_amount': 2759, 'credit_history': ""'no credits/all paid'"", 'duration': 12, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'<100'""}",A 34-year-old male German Foreigner is applying for a loan of 2759 credits for 12 months for furniture or equipment purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He did not take any credits at this bank or has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 4 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
487,male,'0<=X<200',12,'existing paid',furniture/equipment,1922,'<100','1<=X<4',4,none,2,'life insurance',37,none,own,1,'unskilled resident',1,none,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 12, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 1922, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is 'life insurance', age is 37, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 1922
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 37
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 12. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 1922. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 37. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>1922</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>37</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 12 & 'existing paid' & furniture/equipment & 1922 & '<100' & '1<=X<4' & 4 & none & 2 & 'life insurance' & 37 & none & own & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 37, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1922, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 2, 'savings_status': ""'<100'""}",A 37-year-old male German Foreigner is applying for a loan of 1922 credits for 12 months for furniture or equipment purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 2 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
488,male,'no checking',24,'delayed previously',furniture/equipment,4151,'100<=X<500','1<=X<4',2,none,3,'life insurance',35,none,own,2,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'delayed previously', purpose is furniture/equipment, credit_amount is 4151, savings_status is '100<=X<500', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 3, property_magnitude is 'life insurance', age is 35, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'delayed previously'
 - purpose : furniture/equipment
 - credit_amount : 4151
 - savings_status : '100<=X<500'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'life insurance'
 - age : 35
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 24. The credit_history is 'delayed previously'. The purpose is furniture/equipment. The credit_amount is 4151. The savings_status is '100<=X<500'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 3. The property_magnitude is 'life insurance'. The age is 35. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'delayed previously'</td>
      <td>furniture/equipment</td>
      <td>4151</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>3</td>
      <td>'life insurance'</td>
      <td>35</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 24 & 'delayed previously' & furniture/equipment & 4151 & '100<=X<500' & '1<=X<4' & 2 & none & 3 & 'life insurance' & 35 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 35, 'checking_status': ""'no checking'"", 'credit_amount': 4151, 'credit_history': ""'delayed previously'"", 'duration': 24, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 3, 'savings_status': ""'100<=X<500'""}",A 35-year-old male German Foreigner is applying for a loan of 4151 credits for 24 months for furniture or equipment purposes. He has no checking account and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 2 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 3 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
489,male,'<0',10,'critical/other existing credit','new car',1038,'<100','4<=X<7',4,'co applicant',3,'life insurance',49,none,own,2,skilled,1,yes,yes,good,"gender is male, checking_status is '<0', duration is 10, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 1038, savings_status is '<100', employment is '4<=X<7', installment_commitment is 4, other_parties is 'co applicant', residence_since is 3, property_magnitude is 'life insurance', age is 49, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 10
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 1038
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : 'co applicant'
 - residence_since : 3
 - property_magnitude : 'life insurance'
 - age : 49
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 10. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 1038. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is 'co applicant'. The residence_since is 3. The property_magnitude is 'life insurance'. The age is 49. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>10</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>1038</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>'co applicant'</td>
      <td>3</td>
      <td>'life insurance'</td>
      <td>49</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 10 & 'critical/other existing credit' & 'new car' & 1038 & '<100' & '4<=X<7' & 4 & 'co applicant' & 3 & 'life insurance' & 49 & none & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 49, 'checking_status': ""'<0'"", 'credit_amount': 1038, 'credit_history': ""'critical/other existing credit'"", 'duration': 10, 'employment': ""'4<=X<7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': ""'co applicant'"", 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': ""'new car'"", 'residence_since': 3, 'savings_status': ""'<100'""}",A 49-year-old male German Foreigner is applying for a loan of 1038 credits for 10 months for new car purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There co-applicant associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 3 years.  He owns life insurance property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
490,female,'<0',15,'existing paid','new car',2511,'<100',unemployed,1,none,4,car,23,none,rent,1,skilled,1,none,yes,good,"gender is female, checking_status is '<0', duration is 15, credit_history is 'existing paid', purpose is 'new car', credit_amount is 2511, savings_status is '<100', employment is unemployed, installment_commitment is 1, other_parties is none, residence_since is 4, property_magnitude is car, age is 23, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 15
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 2511
 - savings_status : '<100'
 - employment : unemployed
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 23
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 15. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 2511. The savings_status is '<100'. The employment is unemployed. The installment_commitment is 1. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 23. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>15</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>2511</td>
      <td>'&lt;100'</td>
      <td>unemployed</td>
      <td>1</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>23</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 15 & 'existing paid' & 'new car' & 2511 & '<100' & unemployed & 1 & none & 4 & car & 23 & none & rent & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 23, 'checking_status': ""'<0'"", 'credit_amount': 2511, 'credit_history': ""'existing paid'"", 'duration': 15, 'employment': 'unemployed', 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 23-year-old female German Foreigner is applying for a loan of 2511 credits for 15 months for new car purposes. She has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. She has no other installment plans and 1 credits at this bank. She is unemployed. She has lived in a rented apartment for 4 years.  She owns a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
491,male,'no checking',30,'critical/other existing credit',radio/tv,5954,'<100','4<=X<7',3,'co applicant',2,car,38,none,own,1,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 30, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 5954, savings_status is '<100', employment is '4<=X<7', installment_commitment is 3, other_parties is 'co applicant', residence_since is 2, property_magnitude is car, age is 38, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 30
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 5954
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 3
 - other_parties : 'co applicant'
 - residence_since : 2
 - property_magnitude : car
 - age : 38
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 30. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 5954. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 3. The other_parties is 'co applicant'. The residence_since is 2. The property_magnitude is car. The age is 38. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>30</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>5954</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>3</td>
      <td>'co applicant'</td>
      <td>2</td>
      <td>car</td>
      <td>38</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 30 & 'critical/other existing credit' & radio/tv & 5954 & '<100' & '4<=X<7' & 3 & 'co applicant' & 2 & car & 38 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 38, 'checking_status': ""'no checking'"", 'credit_amount': 5954, 'credit_history': ""'critical/other existing credit'"", 'duration': 30, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': ""'co applicant'"", 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 38-year-old male German Foreigner is applying for a loan of 5954 credits for 30 months for radio or tv purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There co-applicant associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 1 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 2 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
492,female,'<0',12,'existing paid',furniture/equipment,1858,'<100','<1',4,none,1,car,22,none,rent,1,skilled,1,none,yes,good,"gender is female, checking_status is '<0', duration is 12, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 1858, savings_status is '<100', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 1, property_magnitude is car, age is 22, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 1858
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 1
 - property_magnitude : car
 - age : 22
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 12. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 1858. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 1. The property_magnitude is car. The age is 22. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>1858</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>1</td>
      <td>car</td>
      <td>22</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 12 & 'existing paid' & furniture/equipment & 1858 & '<100' & '<1' & 4 & none & 1 & car & 22 & none & rent & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 22, 'checking_status': ""'<0'"", 'credit_amount': 1858, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'furniture/equipment', 'residence_since': 1, 'savings_status': ""'<100'""}",A 22-year-old female German Foreigner is applying for a loan of 1858 credits for 12 months for furniture or equipment purposes. She has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for less than one years. She has lived in a rented apartment for 1 years.  She owns a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
493,female,'0<=X<200',8,'existing paid',radio/tv,760,'<100','4<=X<7',4,guarantor,2,'real estate',44,none,own,1,'unskilled resident',1,none,yes,good,"gender is female, checking_status is '0<=X<200', duration is 8, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 760, savings_status is '<100', employment is '4<=X<7', installment_commitment is 4, other_parties is guarantor, residence_since is 2, property_magnitude is 'real estate', age is 44, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 8
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 760
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : guarantor
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 44
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 8. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 760. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is guarantor. The residence_since is 2. The property_magnitude is 'real estate'. The age is 44. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>8</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>760</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>guarantor</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>44</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 8 & 'existing paid' & radio/tv & 760 & '<100' & '4<=X<7' & 4 & guarantor & 2 & 'real estate' & 44 & none & own & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 44, 'checking_status': ""'0<=X<200'"", 'credit_amount': 760, 'credit_history': ""'existing paid'"", 'duration': 8, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'guarantor', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 44-year-old female German Foreigner is applying for a loan of 760 credits for 8 months for radio or tv purposes. She has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There is a guarantor associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for more than four years but less than seven years and is recognized as an unskilled resident individual. She has lived in a self-owned house for 2 years.  She owns some real estate property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
494,male,'no checking',15,'critical/other existing credit',radio/tv,1829,'<100','>=7',4,none,4,car,46,none,own,2,skilled,1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 15, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 1829, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is car, age is 46, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 15
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 1829
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 46
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 15. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 1829. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 46. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>15</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>1829</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>46</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 15 & 'critical/other existing credit' & radio/tv & 1829 & '<100' & '>=7' & 4 & none & 4 & car & 46 & none & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 46, 'checking_status': ""'no checking'"", 'credit_amount': 1829, 'credit_history': ""'critical/other existing credit'"", 'duration': 15, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'<100'""}",A 46-year-old male German Foreigner is applying for a loan of 1829 credits for 15 months for radio or tv purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 4 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
495,male,'<0',18,'critical/other existing credit','new car',5302,'<100','>=7',2,none,4,'no known property',36,none,'for free',3,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is male, checking_status is '<0', duration is 18, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 5302, savings_status is '<100', employment is '>=7', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 36, other_payment_plans is none, housing is 'for free', existing_credits is 3, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 18
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 5302
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 36
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 3
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 18. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 5302. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 36. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 3. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>18</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>5302</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>36</td>
      <td>none</td>
      <td>'for free'</td>
      <td>3</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 18 & 'critical/other existing credit' & 'new car' & 5302 & '<100' & '>=7' & 2 & none & 4 & 'no known property' & 36 & none & 'for free' & 3 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 36, 'checking_status': ""'<0'"", 'credit_amount': 5302, 'credit_history': ""'critical/other existing credit'"", 'duration': 18, 'employment': ""'>=7'"", 'existing_credits': 3, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 2, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 36-year-old male German Foreigner is applying for a loan of 5302 credits for 18 months for new car purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 3 credits at this bank. He is employed for more than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a free accommodation for 4 years.  He owns no known property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
496,female,'<0',12,'existing paid','domestic appliance',741,'100<=X<500',unemployed,4,none,3,'life insurance',22,none,own,1,skilled,1,none,yes,bad,"gender is female, checking_status is '<0', duration is 12, credit_history is 'existing paid', purpose is 'domestic appliance', credit_amount is 741, savings_status is '100<=X<500', employment is unemployed, installment_commitment is 4, other_parties is none, residence_since is 3, property_magnitude is 'life insurance', age is 22, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : 'domestic appliance'
 - credit_amount : 741
 - savings_status : '100<=X<500'
 - employment : unemployed
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'life insurance'
 - age : 22
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 12. The credit_history is 'existing paid'. The purpose is 'domestic appliance'. The credit_amount is 741. The savings_status is '100<=X<500'. The employment is unemployed. The installment_commitment is 4. The other_parties is none. The residence_since is 3. The property_magnitude is 'life insurance'. The age is 22. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>'domestic appliance'</td>
      <td>741</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>unemployed</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>'life insurance'</td>
      <td>22</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 12 & 'existing paid' & 'domestic appliance' & 741 & '100<=X<500' & unemployed & 4 & none & 3 & 'life insurance' & 22 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 22, 'checking_status': ""'<0'"", 'credit_amount': 741, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': 'unemployed', 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': ""'domestic appliance'"", 'residence_since': 3, 'savings_status': ""'100<=X<500'""}",A 22-year-old female German Foreigner is applying for a loan of 741 credits for 12 months for domestic appliance purposes. She has a checking account with 0 Deutsche Mark and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is unemployed. She has lived in a self-owned house for 3 years.  She owns life insurance property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
497,male,'no checking',10,'existing paid','new car',1287,'no known savings','>=7',4,'co applicant',2,'life insurance',45,none,own,1,'unskilled resident',1,none,no,good,"gender is male, checking_status is 'no checking', duration is 10, credit_history is 'existing paid', purpose is 'new car', credit_amount is 1287, savings_status is 'no known savings', employment is '>=7', installment_commitment is 4, other_parties is 'co applicant', residence_since is 2, property_magnitude is 'life insurance', age is 45, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is no","- gender : male
 - checking_status : 'no checking'
 - duration : 10
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 1287
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : 'co applicant'
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 45
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : no",The gender is male. The checking_status is 'no checking'. The duration is 10. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 1287. The savings_status is 'no known savings'. The employment is '>=7'. The installment_commitment is 4. The other_parties is 'co applicant'. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 45. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is no,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>10</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>1287</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>'co applicant'</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>45</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>no</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 10 & 'existing paid' & 'new car' & 1287 & 'no known savings' & '>=7' & 4 & 'co applicant' & 2 & 'life insurance' & 45 & none & own & 1 & 'unskilled resident' & 1 & none & no \\
\end{tabular}
","{'age': 45, 'checking_status': ""'no checking'"", 'credit_amount': 1287, 'credit_history': ""'existing paid'"", 'duration': 10, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'no', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': ""'co applicant'"", 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'no known savings'""}",A 45-year-old male German Citizen is applying for a loan of 1287 credits for 10 months for new car purposes. He has no checking account and no known savings. He has duly paid back credits received from this bank till now. There co-applicant associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 2 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
498,female,'<0',24,'existing paid','new car',1381,'no known savings','1<=X<4',4,none,2,'life insurance',35,none,own,1,skilled,1,none,yes,bad,"gender is female, checking_status is '<0', duration is 24, credit_history is 'existing paid', purpose is 'new car', credit_amount is 1381, savings_status is 'no known savings', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is 'life insurance', age is 35, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 1381
 - savings_status : 'no known savings'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 35
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 24. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 1381. The savings_status is 'no known savings'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 35. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>1381</td>
      <td>'no known savings'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>35</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 24 & 'existing paid' & 'new car' & 1381 & 'no known savings' & '1<=X<4' & 4 & none & 2 & 'life insurance' & 35 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 35, 'checking_status': ""'<0'"", 'credit_amount': 1381, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'no known savings'""}",A 35-year-old female German Foreigner is applying for a loan of 1381 credits for 24 months for new car purposes. She has a checking account with 0 Deutsche Mark and no known savings. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for more than one year but less than four years. She has lived in a self-owned house for 2 years.  She owns life insurance property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
499,male,'no checking',6,'existing paid',radio/tv,1346,'100<=X<500','>=7',2,none,4,'no known property',42,bank,'for free',1,skilled,2,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 6, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1346, savings_status is '100<=X<500', employment is '>=7', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 42, other_payment_plans is bank, housing is 'for free', existing_credits is 1, job is skilled, num_dependents is 2, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 6
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1346
 - savings_status : '100<=X<500'
 - employment : '>=7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 42
 - other_payment_plans : bank
 - housing : 'for free'
 - existing_credits : 1
 - job : skilled
 - num_dependents : 2
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 6. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1346. The savings_status is '100<=X<500'. The employment is '>=7'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 42. The other_payment_plans is bank. The housing is 'for free'. The existing_credits is 1. The job is skilled. The num_dependents is 2. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>6</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1346</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'&gt;=7'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>42</td>
      <td>bank</td>
      <td>'for free'</td>
      <td>1</td>
      <td>skilled</td>
      <td>2</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 6 & 'existing paid' & radio/tv & 1346 & '100<=X<500' & '>=7' & 2 & none & 4 & 'no known property' & 42 & bank & 'for free' & 1 & skilled & 2 & yes & yes \\
\end{tabular}
","{'age': 42, 'checking_status': ""'no checking'"", 'credit_amount': 1346, 'credit_history': ""'existing paid'"", 'duration': 6, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'100<=X<500'""}",A 42-year-old male German Foreigner is applying for a loan of 1346 credits for 6 months for radio or tv purposes. He has no checking account and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has other installment plans with a bank and 1 credits at this bank. He is employed for more than seven years. He has lived in a free accommodation for 4 years.  He owns no known property. He owns a telephone and has 2 people that he is liable to provide maintenance for.
500,male,'0<=X<200',48,'delayed previously',education,6224,'<100','>=7',4,none,4,'no known property',50,none,'for free',1,skilled,1,none,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 48, credit_history is 'delayed previously', purpose is education, credit_amount is 6224, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 50, other_payment_plans is none, housing is 'for free', existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 48
 - credit_history : 'delayed previously'
 - purpose : education
 - credit_amount : 6224
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 50
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 48. The credit_history is 'delayed previously'. The purpose is education. The credit_amount is 6224. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 50. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>48</td>
      <td>'delayed previously'</td>
      <td>education</td>
      <td>6224</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>50</td>
      <td>none</td>
      <td>'for free'</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 48 & 'delayed previously' & education & 6224 & '<100' & '>=7' & 4 & none & 4 & 'no known property' & 50 & none & 'for free' & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 50, 'checking_status': ""'0<=X<200'"", 'credit_amount': 6224, 'credit_history': ""'delayed previously'"", 'duration': 48, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'no known property'"", 'purpose': 'education', 'residence_since': 4, 'savings_status': ""'<100'""}",A 50-year-old male German Foreigner is applying for a loan of 6224 credits for 48 months for education purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years. He has lived in a free accommodation for 4 years.  He owns no known property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
501,female,'<0',18,'existing paid',education,750,'<100',unemployed,4,none,1,'real estate',27,none,own,1,'unemp/unskilled non res',1,none,yes,bad,"gender is female, checking_status is '<0', duration is 18, credit_history is 'existing paid', purpose is education, credit_amount is 750, savings_status is '<100', employment is unemployed, installment_commitment is 4, other_parties is none, residence_since is 1, property_magnitude is 'real estate', age is 27, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unemp/unskilled non res', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : education
 - credit_amount : 750
 - savings_status : '<100'
 - employment : unemployed
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'real estate'
 - age : 27
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unemp/unskilled non res'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 18. The credit_history is 'existing paid'. The purpose is education. The credit_amount is 750. The savings_status is '<100'. The employment is unemployed. The installment_commitment is 4. The other_parties is none. The residence_since is 1. The property_magnitude is 'real estate'. The age is 27. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unemp/unskilled non res'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>18</td>
      <td>'existing paid'</td>
      <td>education</td>
      <td>750</td>
      <td>'&lt;100'</td>
      <td>unemployed</td>
      <td>4</td>
      <td>none</td>
      <td>1</td>
      <td>'real estate'</td>
      <td>27</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unemp/unskilled non res'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 18 & 'existing paid' & education & 750 & '<100' & unemployed & 4 & none & 1 & 'real estate' & 27 & none & own & 1 & 'unemp/unskilled non res' & 1 & none & yes \\
\end{tabular}
","{'age': 27, 'checking_status': ""'<0'"", 'credit_amount': 750, 'credit_history': ""'existing paid'"", 'duration': 18, 'employment': 'unemployed', 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': ""'unemp/unskilled non res'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'education', 'residence_since': 1, 'savings_status': ""'<100'""}",A 27-year-old female German Foreigner is applying for a loan of 750 credits for 18 months for education purposes. She has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is unemployed and is recognized as an unemployed or unskilled non-resident individual. She has lived in a self-owned house for 1 years.  She owns some real estate property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
502,male,'no checking',28,'all paid','used car',7824,'no known savings','<1',3,guarantor,4,'real estate',40,bank,rent,2,skilled,2,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 28, credit_history is 'all paid', purpose is 'used car', credit_amount is 7824, savings_status is 'no known savings', employment is '<1', installment_commitment is 3, other_parties is guarantor, residence_since is 4, property_magnitude is 'real estate', age is 40, other_payment_plans is bank, housing is rent, existing_credits is 2, job is skilled, num_dependents is 2, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 28
 - credit_history : 'all paid'
 - purpose : 'used car'
 - credit_amount : 7824
 - savings_status : 'no known savings'
 - employment : '<1'
 - installment_commitment : 3
 - other_parties : guarantor
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 40
 - other_payment_plans : bank
 - housing : rent
 - existing_credits : 2
 - job : skilled
 - num_dependents : 2
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 28. The credit_history is 'all paid'. The purpose is 'used car'. The credit_amount is 7824. The savings_status is 'no known savings'. The employment is '<1'. The installment_commitment is 3. The other_parties is guarantor. The residence_since is 4. The property_magnitude is 'real estate'. The age is 40. The other_payment_plans is bank. The housing is rent. The existing_credits is 2. The job is skilled. The num_dependents is 2. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>28</td>
      <td>'all paid'</td>
      <td>'used car'</td>
      <td>7824</td>
      <td>'no known savings'</td>
      <td>'&lt;1'</td>
      <td>3</td>
      <td>guarantor</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>40</td>
      <td>bank</td>
      <td>rent</td>
      <td>2</td>
      <td>skilled</td>
      <td>2</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 28 & 'all paid' & 'used car' & 7824 & 'no known savings' & '<1' & 3 & guarantor & 4 & 'real estate' & 40 & bank & rent & 2 & skilled & 2 & yes & yes \\
\end{tabular}
","{'age': 40, 'checking_status': ""'no checking'"", 'credit_amount': 7824, 'credit_history': ""'all paid'"", 'duration': 28, 'employment': ""'<1'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'guarantor', 'other_payment_plans': 'bank', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 40-year-old male German Foreigner is applying for a loan of 7824 credits for 28 months for used car purposes. He has no checking account and no known savings. He has duly paid back all credits at this bank. There is a guarantor associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has other installment plans with a bank and 2 credits at this bank. He is employed for less than one years. He has lived in a rented apartment for 4 years.  He owns some real estate property. He owns a telephone and has 2 people that he is liable to provide maintenance for.
503,female,'no checking',12,'critical/other existing credit',repairs,996,'no known savings','4<=X<7',4,none,4,'real estate',23,none,own,2,skilled,1,none,yes,good,"gender is female, checking_status is 'no checking', duration is 12, credit_history is 'critical/other existing credit', purpose is repairs, credit_amount is 996, savings_status is 'no known savings', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 23, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'critical/other existing credit'
 - purpose : repairs
 - credit_amount : 996
 - savings_status : 'no known savings'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 23
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 12. The credit_history is 'critical/other existing credit'. The purpose is repairs. The credit_amount is 996. The savings_status is 'no known savings'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 23. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>12</td>
      <td>'critical/other existing credit'</td>
      <td>repairs</td>
      <td>996</td>
      <td>'no known savings'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>23</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 12 & 'critical/other existing credit' & repairs & 996 & 'no known savings' & '4<=X<7' & 4 & none & 4 & 'real estate' & 23 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 23, 'checking_status': ""'no checking'"", 'credit_amount': 996, 'credit_history': ""'critical/other existing credit'"", 'duration': 12, 'employment': ""'4<=X<7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'repairs', 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 23-year-old female German Foreigner is applying for a loan of 996 credits for 12 months for repairs purposes. She has no checking account and no known savings. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 2 credits at this bank. She is employed for more than four years but less than seven years. She has lived in a self-owned house for 4 years.  She owns some real estate property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
504,male,'0<=X<200',24,'critical/other existing credit',business,2825,'no known savings','4<=X<7',4,none,3,'no known property',34,none,own,2,skilled,2,yes,yes,good,"gender is male, checking_status is '0<=X<200', duration is 24, credit_history is 'critical/other existing credit', purpose is business, credit_amount is 2825, savings_status is 'no known savings', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 3, property_magnitude is 'no known property', age is 34, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 2, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 24
 - credit_history : 'critical/other existing credit'
 - purpose : business
 - credit_amount : 2825
 - savings_status : 'no known savings'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'no known property'
 - age : 34
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 2
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 24. The credit_history is 'critical/other existing credit'. The purpose is business. The credit_amount is 2825. The savings_status is 'no known savings'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is none. The residence_since is 3. The property_magnitude is 'no known property'. The age is 34. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 2. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>24</td>
      <td>'critical/other existing credit'</td>
      <td>business</td>
      <td>2825</td>
      <td>'no known savings'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>'no known property'</td>
      <td>34</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>2</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 24 & 'critical/other existing credit' & business & 2825 & 'no known savings' & '4<=X<7' & 4 & none & 3 & 'no known property' & 34 & none & own & 2 & skilled & 2 & yes & yes \\
\end{tabular}
","{'age': 34, 'checking_status': ""'0<=X<200'"", 'credit_amount': 2825, 'credit_history': ""'critical/other existing credit'"", 'duration': 24, 'employment': ""'4<=X<7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': 'business', 'residence_since': 3, 'savings_status': ""'no known savings'""}",A 34-year-old male German Foreigner is applying for a loan of 2825 credits for 24 months for business purposes. He has a checking account with less than 200 Deutsche Mark and no known savings. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 3 years.  He owns no known property. He owns a telephone and has 2 people that he is liable to provide maintenance for.
505,male,'no checking',10,'existing paid','new car',1418,'100<=X<500','1<=X<4',3,none,2,'real estate',35,none,rent,1,'unskilled resident',1,none,no,good,"gender is male, checking_status is 'no checking', duration is 10, credit_history is 'existing paid', purpose is 'new car', credit_amount is 1418, savings_status is '100<=X<500', employment is '1<=X<4', installment_commitment is 3, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 35, other_payment_plans is none, housing is rent, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is no","- gender : male
 - checking_status : 'no checking'
 - duration : 10
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 1418
 - savings_status : '100<=X<500'
 - employment : '1<=X<4'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 35
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : no",The gender is male. The checking_status is 'no checking'. The duration is 10. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 1418. The savings_status is '100<=X<500'. The employment is '1<=X<4'. The installment_commitment is 3. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 35. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is no,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>10</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>1418</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>3</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>35</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>no</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 10 & 'existing paid' & 'new car' & 1418 & '100<=X<500' & '1<=X<4' & 3 & none & 2 & 'real estate' & 35 & none & rent & 1 & 'unskilled resident' & 1 & none & no \\
\end{tabular}
","{'age': 35, 'checking_status': ""'no checking'"", 'credit_amount': 1418, 'credit_history': ""'existing paid'"", 'duration': 10, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'no', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 3, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'100<=X<500'""}",A 35-year-old male German Citizen is applying for a loan of 1418 credits for 10 months for new car purposes. He has no checking account and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years and is recognized as an unskilled resident individual. He has lived in a rented apartment for 2 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
506,female,'no checking',12,'critical/other existing credit','new car',682,'100<=X<500','4<=X<7',4,none,3,car,51,none,own,2,skilled,1,yes,yes,good,"gender is female, checking_status is 'no checking', duration is 12, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 682, savings_status is '100<=X<500', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 3, property_magnitude is car, age is 51, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 682
 - savings_status : '100<=X<500'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : car
 - age : 51
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 12. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 682. The savings_status is '100<=X<500'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is none. The residence_since is 3. The property_magnitude is car. The age is 51. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>12</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>682</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>car</td>
      <td>51</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 12 & 'critical/other existing credit' & 'new car' & 682 & '100<=X<500' & '4<=X<7' & 4 & none & 3 & car & 51 & none & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 51, 'checking_status': ""'no checking'"", 'credit_amount': 682, 'credit_history': ""'critical/other existing credit'"", 'duration': 12, 'employment': ""'4<=X<7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 3, 'savings_status': ""'100<=X<500'""}",A 51-year-old female German Foreigner is applying for a loan of 682 credits for 12 months for new car purposes. She has no checking account and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 2 credits at this bank. She is employed for more than four years but less than seven years. She has lived in a self-owned house for 3 years.  She owns a car. She owns a telephone and has 1 person that she is liable to provide maintenance for.
507,female,'<0',6,'critical/other existing credit','new car',860,'<100','>=7',1,none,4,'no known property',39,none,own,2,skilled,1,yes,yes,good,"gender is female, checking_status is '<0', duration is 6, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 860, savings_status is '<100', employment is '>=7', installment_commitment is 1, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 39, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 6
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 860
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 39
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 6. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 860. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 1. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 39. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>6</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>860</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>1</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>39</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 6 & 'critical/other existing credit' & 'new car' & 860 & '<100' & '>=7' & 1 & none & 4 & 'no known property' & 39 & none & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 39, 'checking_status': ""'<0'"", 'credit_amount': 860, 'credit_history': ""'critical/other existing credit'"", 'duration': 6, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 39-year-old female German Foreigner is applying for a loan of 860 credits for 6 months for new car purposes. She has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. She has no other installment plans and 2 credits at this bank. She is employed for more than seven years. She has lived in a self-owned house for 4 years.  She owns no known property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
508,male,'>=200',9,'no credits/all paid',radio/tv,1337,'<100','<1',4,none,2,car,34,none,own,2,'high qualif/self emp/mgmt',1,yes,yes,bad,"gender is male, checking_status is '>=200', duration is 9, credit_history is 'no credits/all paid', purpose is radio/tv, credit_amount is 1337, savings_status is '<100', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is car, age is 34, other_payment_plans is none, housing is own, existing_credits is 2, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '>=200'
 - duration : 9
 - credit_history : 'no credits/all paid'
 - purpose : radio/tv
 - credit_amount : 1337
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 34
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '>=200'. The duration is 9. The credit_history is 'no credits/all paid'. The purpose is radio/tv. The credit_amount is 1337. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 34. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&gt;=200'</td>
      <td>9</td>
      <td>'no credits/all paid'</td>
      <td>radio/tv</td>
      <td>1337</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>34</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '>=200' & 9 & 'no credits/all paid' & radio/tv & 1337 & '<100' & '<1' & 4 & none & 2 & car & 34 & none & own & 2 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 34, 'checking_status': ""'>=200'"", 'credit_amount': 1337, 'credit_history': ""'no credits/all paid'"", 'duration': 9, 'employment': ""'<1'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 34-year-old male German Foreigner is applying for a loan of 1337 credits for 9 months for radio or tv purposes. He has a checking account with 200 Deutsche Mark or more and a savings acccount with less than 100 Deutsche Mark. He did not take any credits at this bank or has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for less than one years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 2 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
509,female,'0<=X<200',9,'existing paid',radio/tv,1670,'<100','<1',4,none,2,car,22,none,own,1,skilled,1,yes,yes,bad,"gender is female, checking_status is '0<=X<200', duration is 9, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1670, savings_status is '<100', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is car, age is 22, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 9
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1670
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 22
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 9. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1670. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 22. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>9</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1670</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>22</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 9 & 'existing paid' & radio/tv & 1670 & '<100' & '<1' & 4 & none & 2 & car & 22 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 22, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1670, 'credit_history': ""'existing paid'"", 'duration': 9, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 22-year-old female German Foreigner is applying for a loan of 1670 credits for 9 months for radio or tv purposes. She has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for less than one years. She has lived in a self-owned house for 2 years.  She owns a car. She owns a telephone and has 1 person that she is liable to provide maintenance for.
510,female,'0<=X<200',30,'no credits/all paid',business,4280,'100<=X<500','1<=X<4',4,none,4,car,26,none,rent,2,'unskilled resident',1,none,yes,bad,"gender is female, checking_status is '0<=X<200', duration is 30, credit_history is 'no credits/all paid', purpose is business, credit_amount is 4280, savings_status is '100<=X<500', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is car, age is 26, other_payment_plans is none, housing is rent, existing_credits is 2, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 30
 - credit_history : 'no credits/all paid'
 - purpose : business
 - credit_amount : 4280
 - savings_status : '100<=X<500'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 26
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 2
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 30. The credit_history is 'no credits/all paid'. The purpose is business. The credit_amount is 4280. The savings_status is '100<=X<500'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 26. The other_payment_plans is none. The housing is rent. The existing_credits is 2. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>30</td>
      <td>'no credits/all paid'</td>
      <td>business</td>
      <td>4280</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>26</td>
      <td>none</td>
      <td>rent</td>
      <td>2</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 30 & 'no credits/all paid' & business & 4280 & '100<=X<500' & '1<=X<4' & 4 & none & 4 & car & 26 & none & rent & 2 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 26, 'checking_status': ""'0<=X<200'"", 'credit_amount': 4280, 'credit_history': ""'no credits/all paid'"", 'duration': 30, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'business', 'residence_since': 4, 'savings_status': ""'100<=X<500'""}",A 26-year-old female German Foreigner is applying for a loan of 4280 credits for 30 months for business purposes. She has a checking account with less than 200 Deutsche Mark and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. She did not take any credits at this bank or has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 2 credits at this bank. She is employed for more than one year but less than four years and is recognized as an unskilled resident individual. She has lived in a rented apartment for 4 years.  She owns a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
511,male,'0<=X<200',18,'critical/other existing credit',furniture/equipment,6361,'<100','>=7',2,none,1,'no known property',41,none,own,1,skilled,1,yes,yes,good,"gender is male, checking_status is '0<=X<200', duration is 18, credit_history is 'critical/other existing credit', purpose is furniture/equipment, credit_amount is 6361, savings_status is '<100', employment is '>=7', installment_commitment is 2, other_parties is none, residence_since is 1, property_magnitude is 'no known property', age is 41, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 18
 - credit_history : 'critical/other existing credit'
 - purpose : furniture/equipment
 - credit_amount : 6361
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'no known property'
 - age : 41
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 18. The credit_history is 'critical/other existing credit'. The purpose is furniture/equipment. The credit_amount is 6361. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 2. The other_parties is none. The residence_since is 1. The property_magnitude is 'no known property'. The age is 41. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>18</td>
      <td>'critical/other existing credit'</td>
      <td>furniture/equipment</td>
      <td>6361</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>2</td>
      <td>none</td>
      <td>1</td>
      <td>'no known property'</td>
      <td>41</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 18 & 'critical/other existing credit' & furniture/equipment & 6361 & '<100' & '>=7' & 2 & none & 1 & 'no known property' & 41 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 41, 'checking_status': ""'0<=X<200'"", 'credit_amount': 6361, 'credit_history': ""'critical/other existing credit'"", 'duration': 18, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': 'furniture/equipment', 'residence_since': 1, 'savings_status': ""'<100'""}",A 41-year-old male German Foreigner is applying for a loan of 6361 credits for 18 months for furniture or equipment purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 1 years.  He owns no known property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
512,male,'no checking',6,'delayed previously',business,1743,'100<=X<500','1<=X<4',1,none,2,'real estate',34,none,own,2,'unskilled resident',1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 6, credit_history is 'delayed previously', purpose is business, credit_amount is 1743, savings_status is '100<=X<500', employment is '1<=X<4', installment_commitment is 1, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 34, other_payment_plans is none, housing is own, existing_credits is 2, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 6
 - credit_history : 'delayed previously'
 - purpose : business
 - credit_amount : 1743
 - savings_status : '100<=X<500'
 - employment : '1<=X<4'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 34
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 6. The credit_history is 'delayed previously'. The purpose is business. The credit_amount is 1743. The savings_status is '100<=X<500'. The employment is '1<=X<4'. The installment_commitment is 1. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 34. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>6</td>
      <td>'delayed previously'</td>
      <td>business</td>
      <td>1743</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>1</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>34</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 6 & 'delayed previously' & business & 1743 & '100<=X<500' & '1<=X<4' & 1 & none & 2 & 'real estate' & 34 & none & own & 2 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 34, 'checking_status': ""'no checking'"", 'credit_amount': 1743, 'credit_history': ""'delayed previously'"", 'duration': 6, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 1, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'business', 'residence_since': 2, 'savings_status': ""'100<=X<500'""}",A 34-year-old male German Foreigner is applying for a loan of 1743 credits for 6 months for business purposes. He has no checking account and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 2 credits at this bank. He is employed for more than one year but less than four years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 2 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
513,male,'0<=X<200',12,'existing paid',retraining,754,'no known savings','>=7',4,none,4,'life insurance',38,none,own,2,skilled,1,none,yes,good,"gender is male, checking_status is '0<=X<200', duration is 12, credit_history is 'existing paid', purpose is retraining, credit_amount is 754, savings_status is 'no known savings', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 38, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : retraining
 - credit_amount : 754
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 38
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 12. The credit_history is 'existing paid'. The purpose is retraining. The credit_amount is 754. The savings_status is 'no known savings'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 38. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>retraining</td>
      <td>754</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>38</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 12 & 'existing paid' & retraining & 754 & 'no known savings' & '>=7' & 4 & none & 4 & 'life insurance' & 38 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 38, 'checking_status': ""'0<=X<200'"", 'credit_amount': 754, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'retraining', 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 38-year-old male German Foreigner is applying for a loan of 754 credits for 12 months for retraining purposes. He has a checking account with less than 200 Deutsche Mark and no known savings. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 4 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
514,male,'<0',8,'critical/other existing credit','new car',3398,'<100','4<=X<7',1,none,4,'real estate',39,none,own,2,'unskilled resident',1,none,no,good,"gender is male, checking_status is '<0', duration is 8, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 3398, savings_status is '<100', employment is '4<=X<7', installment_commitment is 1, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 39, other_payment_plans is none, housing is own, existing_credits is 2, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is no","- gender : male
 - checking_status : '<0'
 - duration : 8
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 3398
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 39
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : no",The gender is male. The checking_status is '<0'. The duration is 8. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 3398. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 1. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 39. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is no,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>8</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>3398</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>1</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>39</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>no</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 8 & 'critical/other existing credit' & 'new car' & 3398 & '<100' & '4<=X<7' & 1 & none & 4 & 'real estate' & 39 & none & own & 2 & 'unskilled resident' & 1 & none & no \\
\end{tabular}
","{'age': 39, 'checking_status': ""'<0'"", 'credit_amount': 3398, 'credit_history': ""'critical/other existing credit'"", 'duration': 8, 'employment': ""'4<=X<7'"", 'existing_credits': 2, 'foreign_worker': 'no', 'gender': 'male', 'housing': 'own', 'installment_commitment': 1, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 39-year-old male German Citizen is applying for a loan of 3398 credits for 8 months for new car purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 2 credits at this bank. He is employed for more than four years but less than seven years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 4 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
515,female,'0<=X<200',9,'all paid','used car',5129,'<100','>=7',2,none,4,'no known property',74,bank,'for free',1,'high qualif/self emp/mgmt',2,yes,yes,bad,"gender is female, checking_status is '0<=X<200', duration is 9, credit_history is 'all paid', purpose is 'used car', credit_amount is 5129, savings_status is '<100', employment is '>=7', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 74, other_payment_plans is bank, housing is 'for free', existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 2, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 9
 - credit_history : 'all paid'
 - purpose : 'used car'
 - credit_amount : 5129
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 74
 - other_payment_plans : bank
 - housing : 'for free'
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 2
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 9. The credit_history is 'all paid'. The purpose is 'used car'. The credit_amount is 5129. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 74. The other_payment_plans is bank. The housing is 'for free'. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 2. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>9</td>
      <td>'all paid'</td>
      <td>'used car'</td>
      <td>5129</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>74</td>
      <td>bank</td>
      <td>'for free'</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>2</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 9 & 'all paid' & 'used car' & 5129 & '<100' & '>=7' & 2 & none & 4 & 'no known property' & 74 & bank & 'for free' & 1 & 'high qualif/self emp/mgmt' & 2 & yes & yes \\
\end{tabular}
","{'age': 74, 'checking_status': ""'0<=X<200'"", 'credit_amount': 5129, 'credit_history': ""'all paid'"", 'duration': 9, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': ""'for free'"", 'installment_commitment': 2, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 74-year-old female German Foreigner is applying for a loan of 5129 credits for 9 months for used car purposes. She has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has other installment plans with a bank and 1 credits at this bank. She is employed for more than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. She has lived in a free accommodation for 4 years.  She owns no known property. She owns a telephone and has 2 people that she is liable to provide maintenance for.
516,male,'>=200',10,'critical/other existing credit','new car',781,'<100','>=7',4,none,4,'no known property',63,none,'for free',2,skilled,1,yes,yes,good,"gender is male, checking_status is '>=200', duration is 10, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 781, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 63, other_payment_plans is none, housing is 'for free', existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '>=200'
 - duration : 10
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 781
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 63
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '>=200'. The duration is 10. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 781. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 63. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&gt;=200'</td>
      <td>10</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>781</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>63</td>
      <td>none</td>
      <td>'for free'</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '>=200' & 10 & 'critical/other existing credit' & 'new car' & 781 & '<100' & '>=7' & 4 & none & 4 & 'no known property' & 63 & none & 'for free' & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 63, 'checking_status': ""'>=200'"", 'credit_amount': 781, 'credit_history': ""'critical/other existing credit'"", 'duration': 10, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 63-year-old male German Foreigner is applying for a loan of 781 credits for 10 months for new car purposes. He has a checking account with 200 Deutsche Mark or more and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years. He has lived in a free accommodation for 4 years.  He owns no known property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
517,male,'<0',18,'all paid','new car',1442,'<100','4<=X<7',4,none,4,'no known property',32,none,'for free',2,'unskilled resident',2,none,yes,bad,"gender is male, checking_status is '<0', duration is 18, credit_history is 'all paid', purpose is 'new car', credit_amount is 1442, savings_status is '<100', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 32, other_payment_plans is none, housing is 'for free', existing_credits is 2, job is 'unskilled resident', num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 18
 - credit_history : 'all paid'
 - purpose : 'new car'
 - credit_amount : 1442
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 32
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 2
 - job : 'unskilled resident'
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 18. The credit_history is 'all paid'. The purpose is 'new car'. The credit_amount is 1442. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 32. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 2. The job is 'unskilled resident'. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>18</td>
      <td>'all paid'</td>
      <td>'new car'</td>
      <td>1442</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>32</td>
      <td>none</td>
      <td>'for free'</td>
      <td>2</td>
      <td>'unskilled resident'</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 18 & 'all paid' & 'new car' & 1442 & '<100' & '4<=X<7' & 4 & none & 4 & 'no known property' & 32 & none & 'for free' & 2 & 'unskilled resident' & 2 & none & yes \\
\end{tabular}
","{'age': 32, 'checking_status': ""'<0'"", 'credit_amount': 1442, 'credit_history': ""'all paid'"", 'duration': 18, 'employment': ""'4<=X<7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'no known property'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 32-year-old male German Foreigner is applying for a loan of 1442 credits for 18 months for new car purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than four years but less than seven years and is recognized as an unskilled resident individual. He has lived in a free accommodation for 4 years.  He owns no known property. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
518,male,'no checking',18,'existing paid',radio/tv,2051,'<100','<1',4,none,1,'real estate',33,none,own,1,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 18, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 2051, savings_status is '<100', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 1, property_magnitude is 'real estate', age is 33, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 2051
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'real estate'
 - age : 33
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 18. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 2051. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 1. The property_magnitude is 'real estate'. The age is 33. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>18</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>2051</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>1</td>
      <td>'real estate'</td>
      <td>33</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 18 & 'existing paid' & radio/tv & 2051 & '<100' & '<1' & 4 & none & 1 & 'real estate' & 33 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 33, 'checking_status': ""'no checking'"", 'credit_amount': 2051, 'credit_history': ""'existing paid'"", 'duration': 18, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 1, 'savings_status': ""'<100'""}",A 33-year-old male German Foreigner is applying for a loan of 2051 credits for 18 months for radio or tv purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for less than one years. He has lived in a self-owned house for 1 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
519,male,'<0',18,'existing paid',furniture/equipment,2462,'<100','1<=X<4',2,none,2,car,22,none,own,1,skilled,1,none,yes,bad,"gender is male, checking_status is '<0', duration is 18, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 2462, savings_status is '<100', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 2, property_magnitude is car, age is 22, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 2462
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 22
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 18. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 2462. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 22. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>18</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>2462</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>22</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 18 & 'existing paid' & furniture/equipment & 2462 & '<100' & '1<=X<4' & 2 & none & 2 & car & 22 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 22, 'checking_status': ""'<0'"", 'credit_amount': 2462, 'credit_history': ""'existing paid'"", 'duration': 18, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'furniture/equipment', 'residence_since': 2, 'savings_status': ""'<100'""}",A 22-year-old male German Foreigner is applying for a loan of 2462 credits for 18 months for furniture or equipment purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 2 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
520,male,'<0',28,'existing paid','new car',4006,'<100','1<=X<4',3,none,2,car,45,none,own,1,'unskilled resident',1,none,yes,bad,"gender is male, checking_status is '<0', duration is 28, credit_history is 'existing paid', purpose is 'new car', credit_amount is 4006, savings_status is '<100', employment is '1<=X<4', installment_commitment is 3, other_parties is none, residence_since is 2, property_magnitude is car, age is 45, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 28
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 4006
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 45
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 28. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 4006. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 3. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 45. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>28</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>4006</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>3</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>45</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 28 & 'existing paid' & 'new car' & 4006 & '<100' & '1<=X<4' & 3 & none & 2 & car & 45 & none & own & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 45, 'checking_status': ""'<0'"", 'credit_amount': 4006, 'credit_history': ""'existing paid'"", 'duration': 28, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'<100'""}",A 45-year-old male German Foreigner is applying for a loan of 4006 credits for 28 months for new car purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 2 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
521,female,'0<=X<200',12,'existing paid',furniture/equipment,951,'100<=X<500','<1',4,none,4,car,27,bank,rent,4,skilled,1,none,yes,bad,"gender is female, checking_status is '0<=X<200', duration is 12, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 951, savings_status is '100<=X<500', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is car, age is 27, other_payment_plans is bank, housing is rent, existing_credits is 4, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 951
 - savings_status : '100<=X<500'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 27
 - other_payment_plans : bank
 - housing : rent
 - existing_credits : 4
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 12. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 951. The savings_status is '100<=X<500'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 27. The other_payment_plans is bank. The housing is rent. The existing_credits is 4. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>951</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>27</td>
      <td>bank</td>
      <td>rent</td>
      <td>4</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 12 & 'existing paid' & furniture/equipment & 951 & '100<=X<500' & '<1' & 4 & none & 4 & car & 27 & bank & rent & 4 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 27, 'checking_status': ""'0<=X<200'"", 'credit_amount': 951, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'<1'"", 'existing_credits': 4, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'100<=X<500'""}",A 27-year-old female German Foreigner is applying for a loan of 951 credits for 12 months for furniture or equipment purposes. She has a checking account with less than 200 Deutsche Mark and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has other installment plans with a bank and 4 credits at this bank. She is employed for less than one years. She has lived in a rented apartment for 4 years.  She owns a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
522,male,'no checking',15,'existing paid','used car',1300,'no known savings','>=7',4,none,4,'no known property',45,bank,'for free',1,skilled,2,none,yes,good,"gender is male, checking_status is 'no checking', duration is 15, credit_history is 'existing paid', purpose is 'used car', credit_amount is 1300, savings_status is 'no known savings', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 45, other_payment_plans is bank, housing is 'for free', existing_credits is 1, job is skilled, num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 15
 - credit_history : 'existing paid'
 - purpose : 'used car'
 - credit_amount : 1300
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 45
 - other_payment_plans : bank
 - housing : 'for free'
 - existing_credits : 1
 - job : skilled
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 15. The credit_history is 'existing paid'. The purpose is 'used car'. The credit_amount is 1300. The savings_status is 'no known savings'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 45. The other_payment_plans is bank. The housing is 'for free'. The existing_credits is 1. The job is skilled. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>15</td>
      <td>'existing paid'</td>
      <td>'used car'</td>
      <td>1300</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>45</td>
      <td>bank</td>
      <td>'for free'</td>
      <td>1</td>
      <td>skilled</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 15 & 'existing paid' & 'used car' & 1300 & 'no known savings' & '>=7' & 4 & none & 4 & 'no known property' & 45 & bank & 'for free' & 1 & skilled & 2 & none & yes \\
\end{tabular}
","{'age': 45, 'checking_status': ""'no checking'"", 'credit_amount': 1300, 'credit_history': ""'existing paid'"", 'duration': 15, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': ""'no known property'"", 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 45-year-old male German Foreigner is applying for a loan of 1300 credits for 15 months for used car purposes. He has no checking account and no known savings. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a bank and 1 credits at this bank. He is employed for more than seven years. He has lived in a free accommodation for 4 years.  He owns no known property. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
523,male,'no checking',24,'existing paid',radio/tv,1901,'100<=X<500','1<=X<4',4,none,4,car,29,none,rent,1,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1901, savings_status is '100<=X<500', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is car, age is 29, other_payment_plans is none, housing is rent, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1901
 - savings_status : '100<=X<500'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 29
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 24. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1901. The savings_status is '100<=X<500'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 29. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1901</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>29</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 24 & 'existing paid' & radio/tv & 1901 & '100<=X<500' & '1<=X<4' & 4 & none & 4 & car & 29 & none & rent & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 29, 'checking_status': ""'no checking'"", 'credit_amount': 1901, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'100<=X<500'""}",A 29-year-old male German Foreigner is applying for a loan of 1901 credits for 24 months for radio or tv purposes. He has no checking account and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a rented apartment for 4 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
524,male,'>=200',42,'critical/other existing credit','used car',4796,'<100','>=7',4,none,4,'no known property',56,none,'for free',1,skilled,1,none,yes,good,"gender is male, checking_status is '>=200', duration is 42, credit_history is 'critical/other existing credit', purpose is 'used car', credit_amount is 4796, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 56, other_payment_plans is none, housing is 'for free', existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '>=200'
 - duration : 42
 - credit_history : 'critical/other existing credit'
 - purpose : 'used car'
 - credit_amount : 4796
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 56
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '>=200'. The duration is 42. The credit_history is 'critical/other existing credit'. The purpose is 'used car'. The credit_amount is 4796. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 56. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&gt;=200'</td>
      <td>42</td>
      <td>'critical/other existing credit'</td>
      <td>'used car'</td>
      <td>4796</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>56</td>
      <td>none</td>
      <td>'for free'</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '>=200' & 42 & 'critical/other existing credit' & 'used car' & 4796 & '<100' & '>=7' & 4 & none & 4 & 'no known property' & 56 & none & 'for free' & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 56, 'checking_status': ""'>=200'"", 'credit_amount': 4796, 'credit_history': ""'critical/other existing credit'"", 'duration': 42, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'no known property'"", 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 56-year-old male German Foreigner is applying for a loan of 4796 credits for 42 months for used car purposes. He has a checking account with 200 Deutsche Mark or more and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years. He has lived in a free accommodation for 4 years.  He owns no known property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
525,male,'no checking',18,'existing paid',radio/tv,1473,'<100','<1',3,none,4,'real estate',39,none,own,1,skilled,1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 18, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1473, savings_status is '<100', employment is '<1', installment_commitment is 3, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 39, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1473
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 39
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 18. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1473. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 3. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 39. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>18</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1473</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>3</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>39</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 18 & 'existing paid' & radio/tv & 1473 & '<100' & '<1' & 3 & none & 4 & 'real estate' & 39 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 39, 'checking_status': ""'no checking'"", 'credit_amount': 1473, 'credit_history': ""'existing paid'"", 'duration': 18, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'<100'""}",A 39-year-old male German Foreigner is applying for a loan of 1473 credits for 18 months for radio or tv purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 1 credits at this bank. He is employed for less than one years. He has lived in a self-owned house for 4 years.  He owns some real estate property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
526,male,'no checking',12,'existing paid',furniture/equipment,1768,'<100','1<=X<4',3,none,2,'real estate',24,none,rent,1,'unskilled resident',1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 12, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 1768, savings_status is '<100', employment is '1<=X<4', installment_commitment is 3, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 24, other_payment_plans is none, housing is rent, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 1768
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 24
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 12. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 1768. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 3. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 24. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>1768</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>3</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>24</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 12 & 'existing paid' & furniture/equipment & 1768 & '<100' & '1<=X<4' & 3 & none & 2 & 'real estate' & 24 & none & rent & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 24, 'checking_status': ""'no checking'"", 'credit_amount': 1768, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 3, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'furniture/equipment', 'residence_since': 2, 'savings_status': ""'<100'""}",A 24-year-old male German Foreigner is applying for a loan of 1768 credits for 12 months for furniture or equipment purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years and is recognized as an unskilled resident individual. He has lived in a rented apartment for 2 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
527,male,'no checking',24,'critical/other existing credit',furniture/equipment,3777,'>=1000','1<=X<4',4,none,4,'real estate',50,none,own,1,skilled,1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'critical/other existing credit', purpose is furniture/equipment, credit_amount is 3777, savings_status is '>=1000', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 50, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'critical/other existing credit'
 - purpose : furniture/equipment
 - credit_amount : 3777
 - savings_status : '>=1000'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 50
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 24. The credit_history is 'critical/other existing credit'. The purpose is furniture/equipment. The credit_amount is 3777. The savings_status is '>=1000'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 50. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'critical/other existing credit'</td>
      <td>furniture/equipment</td>
      <td>3777</td>
      <td>'&gt;=1000'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>50</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 24 & 'critical/other existing credit' & furniture/equipment & 3777 & '>=1000' & '1<=X<4' & 4 & none & 4 & 'real estate' & 50 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 50, 'checking_status': ""'no checking'"", 'credit_amount': 3777, 'credit_history': ""'critical/other existing credit'"", 'duration': 24, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'>=1000'""}",A 50-year-old male German Foreigner is applying for a loan of 3777 credits for 24 months for furniture or equipment purposes. He has no checking account and a savings with 1000 Deutsche Mark or more. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 4 years.  He owns some real estate property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
528,male,'no checking',27,'delayed previously',business,5117,'<100','4<=X<7',3,none,4,car,26,none,own,2,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 27, credit_history is 'delayed previously', purpose is business, credit_amount is 5117, savings_status is '<100', employment is '4<=X<7', installment_commitment is 3, other_parties is none, residence_since is 4, property_magnitude is car, age is 26, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 27
 - credit_history : 'delayed previously'
 - purpose : business
 - credit_amount : 5117
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 26
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 27. The credit_history is 'delayed previously'. The purpose is business. The credit_amount is 5117. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 3. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 26. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>27</td>
      <td>'delayed previously'</td>
      <td>business</td>
      <td>5117</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>3</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>26</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 27 & 'delayed previously' & business & 5117 & '<100' & '4<=X<7' & 3 & none & 4 & car & 26 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 26, 'checking_status': ""'no checking'"", 'credit_amount': 5117, 'credit_history': ""'delayed previously'"", 'duration': 27, 'employment': ""'4<=X<7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'business', 'residence_since': 4, 'savings_status': ""'<100'""}",A 26-year-old male German Foreigner is applying for a loan of 5117 credits for 27 months for business purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 2 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 4 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
529,male,'<0',42,'critical/other existing credit',repairs,3394,'<100',unemployed,4,'co applicant',4,car,65,none,own,2,'unemp/unskilled non res',1,none,yes,good,"gender is male, checking_status is '<0', duration is 42, credit_history is 'critical/other existing credit', purpose is repairs, credit_amount is 3394, savings_status is '<100', employment is unemployed, installment_commitment is 4, other_parties is 'co applicant', residence_since is 4, property_magnitude is car, age is 65, other_payment_plans is none, housing is own, existing_credits is 2, job is 'unemp/unskilled non res', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 42
 - credit_history : 'critical/other existing credit'
 - purpose : repairs
 - credit_amount : 3394
 - savings_status : '<100'
 - employment : unemployed
 - installment_commitment : 4
 - other_parties : 'co applicant'
 - residence_since : 4
 - property_magnitude : car
 - age : 65
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : 'unemp/unskilled non res'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 42. The credit_history is 'critical/other existing credit'. The purpose is repairs. The credit_amount is 3394. The savings_status is '<100'. The employment is unemployed. The installment_commitment is 4. The other_parties is 'co applicant'. The residence_since is 4. The property_magnitude is car. The age is 65. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is 'unemp/unskilled non res'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>42</td>
      <td>'critical/other existing credit'</td>
      <td>repairs</td>
      <td>3394</td>
      <td>'&lt;100'</td>
      <td>unemployed</td>
      <td>4</td>
      <td>'co applicant'</td>
      <td>4</td>
      <td>car</td>
      <td>65</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>'unemp/unskilled non res'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 42 & 'critical/other existing credit' & repairs & 3394 & '<100' & unemployed & 4 & 'co applicant' & 4 & car & 65 & none & own & 2 & 'unemp/unskilled non res' & 1 & none & yes \\
\end{tabular}
","{'age': 65, 'checking_status': ""'<0'"", 'credit_amount': 3394, 'credit_history': ""'critical/other existing credit'"", 'duration': 42, 'employment': 'unemployed', 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'unemp/unskilled non res'"", 'num_dependents': 1, 'other_parties': ""'co applicant'"", 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'repairs', 'residence_since': 4, 'savings_status': ""'<100'""}",A 65-year-old male German Foreigner is applying for a loan of 3394 credits for 42 months for repairs purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There co-applicant associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is unemployed and is recognized as an unemployed or unskilled non-resident individual. He has lived in a self-owned house for 4 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
530,male,'no checking',12,'critical/other existing credit',radio/tv,717,'<100','>=7',4,none,4,'real estate',52,none,own,3,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 12, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 717, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 52, other_payment_plans is none, housing is own, existing_credits is 3, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 717
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 52
 - other_payment_plans : none
 - housing : own
 - existing_credits : 3
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 12. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 717. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 52. The other_payment_plans is none. The housing is own. The existing_credits is 3. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>12</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>717</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>52</td>
      <td>none</td>
      <td>own</td>
      <td>3</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 12 & 'critical/other existing credit' & radio/tv & 717 & '<100' & '>=7' & 4 & none & 4 & 'real estate' & 52 & none & own & 3 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 52, 'checking_status': ""'no checking'"", 'credit_amount': 717, 'credit_history': ""'critical/other existing credit'"", 'duration': 12, 'employment': ""'>=7'"", 'existing_credits': 3, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'<100'""}",A 52-year-old male German Foreigner is applying for a loan of 717 credits for 12 months for radio or tv purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 3 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 4 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
531,male,'no checking',36,'critical/other existing credit','used car',5842,'<100','>=7',2,none,2,'life insurance',35,none,own,2,skilled,2,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 36, credit_history is 'critical/other existing credit', purpose is 'used car', credit_amount is 5842, savings_status is '<100', employment is '>=7', installment_commitment is 2, other_parties is none, residence_since is 2, property_magnitude is 'life insurance', age is 35, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 2, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 36
 - credit_history : 'critical/other existing credit'
 - purpose : 'used car'
 - credit_amount : 5842
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 35
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 2
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 36. The credit_history is 'critical/other existing credit'. The purpose is 'used car'. The credit_amount is 5842. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 2. The other_parties is none. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 35. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 2. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>36</td>
      <td>'critical/other existing credit'</td>
      <td>'used car'</td>
      <td>5842</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>2</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>35</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>2</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 36 & 'critical/other existing credit' & 'used car' & 5842 & '<100' & '>=7' & 2 & none & 2 & 'life insurance' & 35 & none & own & 2 & skilled & 2 & yes & yes \\
\end{tabular}
","{'age': 35, 'checking_status': ""'no checking'"", 'credit_amount': 5842, 'credit_history': ""'critical/other existing credit'"", 'duration': 36, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': ""'used car'"", 'residence_since': 2, 'savings_status': ""'<100'""}",A 35-year-old male German Foreigner is applying for a loan of 5842 credits for 36 months for used car purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 2 years.  He owns life insurance property. He owns a telephone and has 2 people that he is liable to provide maintenance for.
532,male,'no checking',9,'critical/other existing credit','new car',1224,'<100','1<=X<4',3,none,1,'real estate',30,none,own,2,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 9, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 1224, savings_status is '<100', employment is '1<=X<4', installment_commitment is 3, other_parties is none, residence_since is 1, property_magnitude is 'real estate', age is 30, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 9
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 1224
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'real estate'
 - age : 30
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 9. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 1224. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 3. The other_parties is none. The residence_since is 1. The property_magnitude is 'real estate'. The age is 30. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>9</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>1224</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>3</td>
      <td>none</td>
      <td>1</td>
      <td>'real estate'</td>
      <td>30</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 9 & 'critical/other existing credit' & 'new car' & 1224 & '<100' & '1<=X<4' & 3 & none & 1 & 'real estate' & 30 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 30, 'checking_status': ""'no checking'"", 'credit_amount': 1224, 'credit_history': ""'critical/other existing credit'"", 'duration': 9, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 1, 'savings_status': ""'<100'""}",A 30-year-old male German Foreigner is applying for a loan of 1224 credits for 9 months for new car purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 2 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 1 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
533,male,'0<=X<200',12,'existing paid',radio/tv,1155,'<100','>=7',3,guarantor,3,'real estate',40,bank,own,2,'unskilled resident',1,none,yes,good,"gender is male, checking_status is '0<=X<200', duration is 12, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1155, savings_status is '<100', employment is '>=7', installment_commitment is 3, other_parties is guarantor, residence_since is 3, property_magnitude is 'real estate', age is 40, other_payment_plans is bank, housing is own, existing_credits is 2, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1155
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 3
 - other_parties : guarantor
 - residence_since : 3
 - property_magnitude : 'real estate'
 - age : 40
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 2
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 12. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1155. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 3. The other_parties is guarantor. The residence_since is 3. The property_magnitude is 'real estate'. The age is 40. The other_payment_plans is bank. The housing is own. The existing_credits is 2. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1155</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>3</td>
      <td>guarantor</td>
      <td>3</td>
      <td>'real estate'</td>
      <td>40</td>
      <td>bank</td>
      <td>own</td>
      <td>2</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 12 & 'existing paid' & radio/tv & 1155 & '<100' & '>=7' & 3 & guarantor & 3 & 'real estate' & 40 & bank & own & 2 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 40, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1155, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'guarantor', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 3, 'savings_status': ""'<100'""}",A 40-year-old male German Foreigner is applying for a loan of 1155 credits for 12 months for radio or tv purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There is a guarantor associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has other installment plans with a bank and 2 credits at this bank. He is employed for more than seven years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 3 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
534,male,'<0',21,'existing paid','new car',3763,'no known savings','4<=X<7',2,'co applicant',2,'real estate',24,none,own,1,'unskilled resident',1,none,no,good,"gender is male, checking_status is '<0', duration is 21, credit_history is 'existing paid', purpose is 'new car', credit_amount is 3763, savings_status is 'no known savings', employment is '4<=X<7', installment_commitment is 2, other_parties is 'co applicant', residence_since is 2, property_magnitude is 'real estate', age is 24, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is no","- gender : male
 - checking_status : '<0'
 - duration : 21
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 3763
 - savings_status : 'no known savings'
 - employment : '4<=X<7'
 - installment_commitment : 2
 - other_parties : 'co applicant'
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 24
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : no",The gender is male. The checking_status is '<0'. The duration is 21. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 3763. The savings_status is 'no known savings'. The employment is '4<=X<7'. The installment_commitment is 2. The other_parties is 'co applicant'. The residence_since is 2. The property_magnitude is 'real estate'. The age is 24. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is no,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>21</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>3763</td>
      <td>'no known savings'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>2</td>
      <td>'co applicant'</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>24</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>no</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 21 & 'existing paid' & 'new car' & 3763 & 'no known savings' & '4<=X<7' & 2 & 'co applicant' & 2 & 'real estate' & 24 & none & own & 1 & 'unskilled resident' & 1 & none & no \\
\end{tabular}
","{'age': 24, 'checking_status': ""'<0'"", 'credit_amount': 3763, 'credit_history': ""'existing paid'"", 'duration': 21, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'no', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': ""'co applicant'"", 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'no known savings'""}",A 24-year-old male German Citizen is applying for a loan of 3763 credits for 21 months for new car purposes. He has a checking account with 0 Deutsche Mark and no known savings. He has duly paid back credits received from this bank till now. There co-applicant associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for more than four years but less than seven years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 2 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
535,male,'<0',12,'no credits/all paid','new car',1082,'<100','1<=X<4',4,none,4,car,48,bank,own,2,skilled,1,none,yes,bad,"gender is male, checking_status is '<0', duration is 12, credit_history is 'no credits/all paid', purpose is 'new car', credit_amount is 1082, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is car, age is 48, other_payment_plans is bank, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 12
 - credit_history : 'no credits/all paid'
 - purpose : 'new car'
 - credit_amount : 1082
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 48
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 12. The credit_history is 'no credits/all paid'. The purpose is 'new car'. The credit_amount is 1082. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 48. The other_payment_plans is bank. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>12</td>
      <td>'no credits/all paid'</td>
      <td>'new car'</td>
      <td>1082</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>48</td>
      <td>bank</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 12 & 'no credits/all paid' & 'new car' & 1082 & '<100' & '1<=X<4' & 4 & none & 4 & car & 48 & bank & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 48, 'checking_status': ""'<0'"", 'credit_amount': 1082, 'credit_history': ""'no credits/all paid'"", 'duration': 12, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 48-year-old male German Foreigner is applying for a loan of 1082 credits for 12 months for new car purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He did not take any credits at this bank or has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a bank and 2 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 4 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
536,male,'0<=X<200',48,'existing paid',business,15672,'<100','1<=X<4',2,none,2,car,23,none,own,1,skilled,1,yes,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 48, credit_history is 'existing paid', purpose is business, credit_amount is 15672, savings_status is '<100', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 2, property_magnitude is car, age is 23, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 48
 - credit_history : 'existing paid'
 - purpose : business
 - credit_amount : 15672
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 23
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 48. The credit_history is 'existing paid'. The purpose is business. The credit_amount is 15672. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 23. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>48</td>
      <td>'existing paid'</td>
      <td>business</td>
      <td>15672</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>23</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 48 & 'existing paid' & business & 15672 & '<100' & '1<=X<4' & 2 & none & 2 & car & 23 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 23, 'checking_status': ""'0<=X<200'"", 'credit_amount': 15672, 'credit_history': ""'existing paid'"", 'duration': 48, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'business', 'residence_since': 2, 'savings_status': ""'<100'""}",A 23-year-old male German Foreigner is applying for a loan of 15672 credits for 48 months for business purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 2 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
537,female,'<0',12,'critical/other existing credit','new car',3499,'<100','1<=X<4',3,'co applicant',2,'real estate',29,none,own,2,skilled,1,none,yes,bad,"gender is female, checking_status is '<0', duration is 12, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 3499, savings_status is '<100', employment is '1<=X<4', installment_commitment is 3, other_parties is 'co applicant', residence_since is 2, property_magnitude is 'real estate', age is 29, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 12
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 3499
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 3
 - other_parties : 'co applicant'
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 29
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 12. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 3499. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 3. The other_parties is 'co applicant'. The residence_since is 2. The property_magnitude is 'real estate'. The age is 29. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>12</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>3499</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>3</td>
      <td>'co applicant'</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>29</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 12 & 'critical/other existing credit' & 'new car' & 3499 & '<100' & '1<=X<4' & 3 & 'co applicant' & 2 & 'real estate' & 29 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 29, 'checking_status': ""'<0'"", 'credit_amount': 3499, 'credit_history': ""'critical/other existing credit'"", 'duration': 12, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': ""'co applicant'"", 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'<100'""}",A 29-year-old female German Foreigner is applying for a loan of 3499 credits for 12 months for new car purposes. She has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has critical account or has other credits existing but not at this bank. There co-applicant associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. She has no other installment plans and 2 credits at this bank. She is employed for more than one year but less than four years. She has lived in a self-owned house for 2 years.  She owns some real estate property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
538,male,'no checking',60,'delayed previously',radio/tv,15653,'<100','4<=X<7',2,none,4,car,21,none,own,2,skilled,1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 60, credit_history is 'delayed previously', purpose is radio/tv, credit_amount is 15653, savings_status is '<100', employment is '4<=X<7', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is car, age is 21, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 60
 - credit_history : 'delayed previously'
 - purpose : radio/tv
 - credit_amount : 15653
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 21
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 60. The credit_history is 'delayed previously'. The purpose is radio/tv. The credit_amount is 15653. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 21. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>60</td>
      <td>'delayed previously'</td>
      <td>radio/tv</td>
      <td>15653</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>21</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 60 & 'delayed previously' & radio/tv & 15653 & '<100' & '4<=X<7' & 2 & none & 4 & car & 21 & none & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 21, 'checking_status': ""'no checking'"", 'credit_amount': 15653, 'credit_history': ""'delayed previously'"", 'duration': 60, 'employment': ""'4<=X<7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'<100'""}",A 21-year-old male German Foreigner is applying for a loan of 15653 credits for 60 months for radio or tv purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 2 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 4 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
539,male,'no checking',24,'delayed previously',business,8648,'<100','<1',2,none,2,car,27,bank,own,2,skilled,1,yes,yes,bad,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'delayed previously', purpose is business, credit_amount is 8648, savings_status is '<100', employment is '<1', installment_commitment is 2, other_parties is none, residence_since is 2, property_magnitude is car, age is 27, other_payment_plans is bank, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'delayed previously'
 - purpose : business
 - credit_amount : 8648
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 27
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 24. The credit_history is 'delayed previously'. The purpose is business. The credit_amount is 8648. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 2. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 27. The other_payment_plans is bank. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'delayed previously'</td>
      <td>business</td>
      <td>8648</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>2</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>27</td>
      <td>bank</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 24 & 'delayed previously' & business & 8648 & '<100' & '<1' & 2 & none & 2 & car & 27 & bank & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 27, 'checking_status': ""'no checking'"", 'credit_amount': 8648, 'credit_history': ""'delayed previously'"", 'duration': 24, 'employment': ""'<1'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'business', 'residence_since': 2, 'savings_status': ""'<100'""}",A 27-year-old male German Foreigner is applying for a loan of 8648 credits for 24 months for business purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has other installment plans with a bank and 2 credits at this bank. He is employed for less than one years. He has lived in a self-owned house for 2 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
540,male,'0<=X<200',20,'existing paid','used car',6468,'no known savings',unemployed,1,none,4,'real estate',60,none,own,1,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is male, checking_status is '0<=X<200', duration is 20, credit_history is 'existing paid', purpose is 'used car', credit_amount is 6468, savings_status is 'no known savings', employment is unemployed, installment_commitment is 1, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 60, other_payment_plans is none, housing is own, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 20
 - credit_history : 'existing paid'
 - purpose : 'used car'
 - credit_amount : 6468
 - savings_status : 'no known savings'
 - employment : unemployed
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 60
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 20. The credit_history is 'existing paid'. The purpose is 'used car'. The credit_amount is 6468. The savings_status is 'no known savings'. The employment is unemployed. The installment_commitment is 1. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 60. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>20</td>
      <td>'existing paid'</td>
      <td>'used car'</td>
      <td>6468</td>
      <td>'no known savings'</td>
      <td>unemployed</td>
      <td>1</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>60</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 20 & 'existing paid' & 'used car' & 6468 & 'no known savings' & unemployed & 1 & none & 4 & 'real estate' & 60 & none & own & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 60, 'checking_status': ""'0<=X<200'"", 'credit_amount': 6468, 'credit_history': ""'existing paid'"", 'duration': 20, 'employment': 'unemployed', 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 1, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 60-year-old male German Foreigner is applying for a loan of 6468 credits for 20 months for used car purposes. He has a checking account with less than 200 Deutsche Mark and no known savings. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 1 credits at this bank. He is unemployed and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 4 years.  He owns some real estate property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
541,female,'<0',24,'existing paid','used car',2812,'no known savings','>=7',2,none,4,'real estate',26,none,rent,1,skilled,1,none,yes,good,"gender is female, checking_status is '<0', duration is 24, credit_history is 'existing paid', purpose is 'used car', credit_amount is 2812, savings_status is 'no known savings', employment is '>=7', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 26, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : 'used car'
 - credit_amount : 2812
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 26
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 24. The credit_history is 'existing paid'. The purpose is 'used car'. The credit_amount is 2812. The savings_status is 'no known savings'. The employment is '>=7'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 26. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>'used car'</td>
      <td>2812</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>26</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 24 & 'existing paid' & 'used car' & 2812 & 'no known savings' & '>=7' & 2 & none & 4 & 'real estate' & 26 & none & rent & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 26, 'checking_status': ""'<0'"", 'credit_amount': 2812, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 26-year-old female German Foreigner is applying for a loan of 2812 credits for 24 months for used car purposes. She has a checking account with 0 Deutsche Mark and no known savings. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has no other installment plans and 1 credits at this bank. She is employed for more than seven years. She has lived in a rented apartment for 4 years.  She owns some real estate property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
542,female,'0<=X<200',36,'all paid','domestic appliance',3990,'no known savings','<1',3,none,2,'no known property',29,bank,own,1,'unemp/unskilled non res',1,none,yes,good,"gender is female, checking_status is '0<=X<200', duration is 36, credit_history is 'all paid', purpose is 'domestic appliance', credit_amount is 3990, savings_status is 'no known savings', employment is '<1', installment_commitment is 3, other_parties is none, residence_since is 2, property_magnitude is 'no known property', age is 29, other_payment_plans is bank, housing is own, existing_credits is 1, job is 'unemp/unskilled non res', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 36
 - credit_history : 'all paid'
 - purpose : 'domestic appliance'
 - credit_amount : 3990
 - savings_status : 'no known savings'
 - employment : '<1'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'no known property'
 - age : 29
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 1
 - job : 'unemp/unskilled non res'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 36. The credit_history is 'all paid'. The purpose is 'domestic appliance'. The credit_amount is 3990. The savings_status is 'no known savings'. The employment is '<1'. The installment_commitment is 3. The other_parties is none. The residence_since is 2. The property_magnitude is 'no known property'. The age is 29. The other_payment_plans is bank. The housing is own. The existing_credits is 1. The job is 'unemp/unskilled non res'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>36</td>
      <td>'all paid'</td>
      <td>'domestic appliance'</td>
      <td>3990</td>
      <td>'no known savings'</td>
      <td>'&lt;1'</td>
      <td>3</td>
      <td>none</td>
      <td>2</td>
      <td>'no known property'</td>
      <td>29</td>
      <td>bank</td>
      <td>own</td>
      <td>1</td>
      <td>'unemp/unskilled non res'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 36 & 'all paid' & 'domestic appliance' & 3990 & 'no known savings' & '<1' & 3 & none & 2 & 'no known property' & 29 & bank & own & 1 & 'unemp/unskilled non res' & 1 & none & yes \\
\end{tabular}
","{'age': 29, 'checking_status': ""'0<=X<200'"", 'credit_amount': 3990, 'credit_history': ""'all paid'"", 'duration': 36, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 3, 'job': ""'unemp/unskilled non res'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': ""'no known property'"", 'purpose': ""'domestic appliance'"", 'residence_since': 2, 'savings_status': ""'no known savings'""}",A 29-year-old female German Foreigner is applying for a loan of 3990 credits for 36 months for domestic appliance purposes. She has a checking account with less than 200 Deutsche Mark and no known savings. She has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. She has other installment plans with a bank and 1 credits at this bank. She is employed for less than one years and is recognized as an unemployed or unskilled non-resident individual. She has lived in a self-owned house for 2 years.  She owns no known property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
543,male,'no checking',11,'existing paid',business,2142,'>=1000','>=7',1,none,2,'real estate',28,none,own,1,skilled,1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 11, credit_history is 'existing paid', purpose is business, credit_amount is 2142, savings_status is '>=1000', employment is '>=7', installment_commitment is 1, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 28, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 11
 - credit_history : 'existing paid'
 - purpose : business
 - credit_amount : 2142
 - savings_status : '>=1000'
 - employment : '>=7'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 28
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 11. The credit_history is 'existing paid'. The purpose is business. The credit_amount is 2142. The savings_status is '>=1000'. The employment is '>=7'. The installment_commitment is 1. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 28. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>11</td>
      <td>'existing paid'</td>
      <td>business</td>
      <td>2142</td>
      <td>'&gt;=1000'</td>
      <td>'&gt;=7'</td>
      <td>1</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>28</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 11 & 'existing paid' & business & 2142 & '>=1000' & '>=7' & 1 & none & 2 & 'real estate' & 28 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 28, 'checking_status': ""'no checking'"", 'credit_amount': 2142, 'credit_history': ""'existing paid'"", 'duration': 11, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': 'business', 'residence_since': 2, 'savings_status': ""'>=1000'""}",A 28-year-old male German Foreigner is applying for a loan of 2142 credits for 11 months for business purposes. He has no checking account and a savings with 1000 Deutsche Mark or more. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 2 years.  He owns some real estate property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
544,female,'no checking',10,'existing paid','new car',1364,'<100','1<=X<4',2,none,4,car,64,none,own,1,skilled,1,yes,yes,good,"gender is female, checking_status is 'no checking', duration is 10, credit_history is 'existing paid', purpose is 'new car', credit_amount is 1364, savings_status is '<100', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is car, age is 64, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 10
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 1364
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 64
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 10. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 1364. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 64. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>10</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>1364</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>64</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 10 & 'existing paid' & 'new car' & 1364 & '<100' & '1<=X<4' & 2 & none & 4 & car & 64 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 64, 'checking_status': ""'no checking'"", 'credit_amount': 1364, 'credit_history': ""'existing paid'"", 'duration': 10, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 64-year-old female German Foreigner is applying for a loan of 1364 credits for 10 months for new car purposes. She has no checking account and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has no other installment plans and 1 credits at this bank. She is employed for more than one year but less than four years. She has lived in a self-owned house for 4 years.  She owns a car. She owns a telephone and has 1 person that she is liable to provide maintenance for.
545,male,'0<=X<200',15,'existing paid',repairs,1308,'<100','>=7',4,none,4,car,38,none,own,2,'unskilled resident',1,none,yes,good,"gender is male, checking_status is '0<=X<200', duration is 15, credit_history is 'existing paid', purpose is repairs, credit_amount is 1308, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is car, age is 38, other_payment_plans is none, housing is own, existing_credits is 2, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 15
 - credit_history : 'existing paid'
 - purpose : repairs
 - credit_amount : 1308
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 38
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 15. The credit_history is 'existing paid'. The purpose is repairs. The credit_amount is 1308. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 38. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>15</td>
      <td>'existing paid'</td>
      <td>repairs</td>
      <td>1308</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>38</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 15 & 'existing paid' & repairs & 1308 & '<100' & '>=7' & 4 & none & 4 & car & 38 & none & own & 2 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 38, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1308, 'credit_history': ""'existing paid'"", 'duration': 15, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'repairs', 'residence_since': 4, 'savings_status': ""'<100'""}",A 38-year-old male German Foreigner is applying for a loan of 1308 credits for 15 months for repairs purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 4 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
546,female,'0<=X<200',48,'no credits/all paid',other,18424,'<100','1<=X<4',1,none,2,'life insurance',32,bank,own,1,'high qualif/self emp/mgmt',1,yes,no,bad,"gender is female, checking_status is '0<=X<200', duration is 48, credit_history is 'no credits/all paid', purpose is other, credit_amount is 18424, savings_status is '<100', employment is '1<=X<4', installment_commitment is 1, other_parties is none, residence_since is 2, property_magnitude is 'life insurance', age is 32, other_payment_plans is bank, housing is own, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is no","- gender : female
 - checking_status : '0<=X<200'
 - duration : 48
 - credit_history : 'no credits/all paid'
 - purpose : other
 - credit_amount : 18424
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 32
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : no",The gender is female. The checking_status is '0<=X<200'. The duration is 48. The credit_history is 'no credits/all paid'. The purpose is other. The credit_amount is 18424. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 1. The other_parties is none. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 32. The other_payment_plans is bank. The housing is own. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is no,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>48</td>
      <td>'no credits/all paid'</td>
      <td>other</td>
      <td>18424</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>1</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>32</td>
      <td>bank</td>
      <td>own</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>no</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 48 & 'no credits/all paid' & other & 18424 & '<100' & '1<=X<4' & 1 & none & 2 & 'life insurance' & 32 & bank & own & 1 & 'high qualif/self emp/mgmt' & 1 & yes & no \\
\end{tabular}
","{'age': 32, 'checking_status': ""'0<=X<200'"", 'credit_amount': 18424, 'credit_history': ""'no credits/all paid'"", 'duration': 48, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'no', 'gender': 'female', 'housing': 'own', 'installment_commitment': 1, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': 'other', 'residence_since': 2, 'savings_status': ""'<100'""}",A 32-year-old female German Citizen is applying for a loan of 18424 credits for 48 months for other purposes. She has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She did not take any credits at this bank or has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. She has other installment plans with a bank and 1 credits at this bank. She is employed for more than one year but less than four years and is recognized as a highly qualified employee or is self employed or has managerial position. She has lived in a self-owned house for 2 years.  She owns life insurance property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
547,female,'0<=X<200',12,'existing paid',business,841,'100<=X<500','4<=X<7',2,none,4,'real estate',23,none,rent,1,'unskilled resident',1,none,yes,good,"gender is female, checking_status is '0<=X<200', duration is 12, credit_history is 'existing paid', purpose is business, credit_amount is 841, savings_status is '100<=X<500', employment is '4<=X<7', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 23, other_payment_plans is none, housing is rent, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : business
 - credit_amount : 841
 - savings_status : '100<=X<500'
 - employment : '4<=X<7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 23
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 12. The credit_history is 'existing paid'. The purpose is business. The credit_amount is 841. The savings_status is '100<=X<500'. The employment is '4<=X<7'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 23. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>business</td>
      <td>841</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>23</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 12 & 'existing paid' & business & 841 & '100<=X<500' & '4<=X<7' & 2 & none & 4 & 'real estate' & 23 & none & rent & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 23, 'checking_status': ""'0<=X<200'"", 'credit_amount': 841, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 2, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'business', 'residence_since': 4, 'savings_status': ""'100<=X<500'""}",A 23-year-old female German Foreigner is applying for a loan of 841 credits for 12 months for business purposes. She has a checking account with less than 200 Deutsche Mark and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has no other installment plans and 1 credits at this bank. She is employed for more than four years but less than seven years and is recognized as an unskilled resident individual. She has lived in a rented apartment for 4 years.  She owns some real estate property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
548,male,'0<=X<200',6,'existing paid',radio/tv,590,'<100','<1',3,none,3,'real estate',26,none,own,1,'unskilled resident',1,none,no,good,"gender is male, checking_status is '0<=X<200', duration is 6, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 590, savings_status is '<100', employment is '<1', installment_commitment is 3, other_parties is none, residence_since is 3, property_magnitude is 'real estate', age is 26, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is no","- gender : male
 - checking_status : '0<=X<200'
 - duration : 6
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 590
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'real estate'
 - age : 26
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : no",The gender is male. The checking_status is '0<=X<200'. The duration is 6. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 590. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 3. The other_parties is none. The residence_since is 3. The property_magnitude is 'real estate'. The age is 26. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is no,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>6</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>590</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>3</td>
      <td>none</td>
      <td>3</td>
      <td>'real estate'</td>
      <td>26</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>no</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 6 & 'existing paid' & radio/tv & 590 & '<100' & '<1' & 3 & none & 3 & 'real estate' & 26 & none & own & 1 & 'unskilled resident' & 1 & none & no \\
\end{tabular}
","{'age': 26, 'checking_status': ""'0<=X<200'"", 'credit_amount': 590, 'credit_history': ""'existing paid'"", 'duration': 6, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'no', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 3, 'savings_status': ""'<100'""}",A 26-year-old male German Citizen is applying for a loan of 590 credits for 6 months for radio or tv purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 1 credits at this bank. He is employed for less than one years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 3 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
549,male,'<0',24,'existing paid',furniture/equipment,3345,'<100','>=7',4,none,2,'life insurance',39,none,rent,1,'high qualif/self emp/mgmt',1,yes,yes,bad,"gender is male, checking_status is '<0', duration is 24, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 3345, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is 'life insurance', age is 39, other_payment_plans is none, housing is rent, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 3345
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 39
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 24. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 3345. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 39. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>3345</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>39</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 24 & 'existing paid' & furniture/equipment & 3345 & '<100' & '>=7' & 4 & none & 2 & 'life insurance' & 39 & none & rent & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 39, 'checking_status': ""'<0'"", 'credit_amount': 3345, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 2, 'savings_status': ""'<100'""}",A 39-year-old male German Foreigner is applying for a loan of 3345 credits for 24 months for furniture or equipment purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a rented apartment for 2 years.  He owns life insurance property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
550,male,'<0',18,'existing paid',radio/tv,2600,'<100','1<=X<4',4,none,4,'no known property',65,none,'for free',2,skilled,1,none,yes,bad,"gender is male, checking_status is '<0', duration is 18, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 2600, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 65, other_payment_plans is none, housing is 'for free', existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 2600
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 65
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 18. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 2600. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 65. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>18</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>2600</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>65</td>
      <td>none</td>
      <td>'for free'</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 18 & 'existing paid' & radio/tv & 2600 & '<100' & '1<=X<4' & 4 & none & 4 & 'no known property' & 65 & none & 'for free' & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 65, 'checking_status': ""'<0'"", 'credit_amount': 2600, 'credit_history': ""'existing paid'"", 'duration': 18, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'no known property'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'<100'""}",A 65-year-old male German Foreigner is applying for a loan of 2600 credits for 18 months for radio or tv purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than one year but less than four years. He has lived in a free accommodation for 4 years.  He owns no known property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
551,male,'<0',12,'existing paid',furniture/equipment,3590,'<100','1<=X<4',2,'co applicant',2,'life insurance',29,none,own,1,'unskilled resident',2,none,yes,good,"gender is male, checking_status is '<0', duration is 12, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 3590, savings_status is '<100', employment is '1<=X<4', installment_commitment is 2, other_parties is 'co applicant', residence_since is 2, property_magnitude is 'life insurance', age is 29, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 3590
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : 'co applicant'
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 29
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 12. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 3590. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is 'co applicant'. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 29. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>3590</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>'co applicant'</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>29</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 12 & 'existing paid' & furniture/equipment & 3590 & '<100' & '1<=X<4' & 2 & 'co applicant' & 2 & 'life insurance' & 29 & none & own & 1 & 'unskilled resident' & 2 & none & yes \\
\end{tabular}
","{'age': 29, 'checking_status': ""'<0'"", 'credit_amount': 3590, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': ""'unskilled resident'"", 'num_dependents': 2, 'other_parties': ""'co applicant'"", 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 2, 'savings_status': ""'<100'""}",A 29-year-old male German Foreigner is applying for a loan of 3590 credits for 12 months for furniture or equipment purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There co-applicant associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 2 years.  He owns life insurance property. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
552,female,'no checking',15,'critical/other existing credit','new car',5045,'no known savings','>=7',1,none,4,car,59,none,own,1,skilled,1,yes,yes,good,"gender is female, checking_status is 'no checking', duration is 15, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 5045, savings_status is 'no known savings', employment is '>=7', installment_commitment is 1, other_parties is none, residence_since is 4, property_magnitude is car, age is 59, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 15
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 5045
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 59
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 15. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 5045. The savings_status is 'no known savings'. The employment is '>=7'. The installment_commitment is 1. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 59. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>15</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>5045</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>1</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>59</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 15 & 'critical/other existing credit' & 'new car' & 5045 & 'no known savings' & '>=7' & 1 & none & 4 & car & 59 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 59, 'checking_status': ""'no checking'"", 'credit_amount': 5045, 'credit_history': ""'critical/other existing credit'"", 'duration': 15, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 59-year-old female German Foreigner is applying for a loan of 5045 credits for 15 months for new car purposes. She has no checking account and no known savings. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. She has no other installment plans and 1 credits at this bank. She is employed for more than seven years. She has lived in a self-owned house for 4 years.  She owns a car. She owns a telephone and has 1 person that she is liable to provide maintenance for.
553,female,'no checking',18,'existing paid',radio/tv,1126,'no known savings','<1',4,none,2,'real estate',21,none,rent,1,skilled,1,yes,yes,good,"gender is female, checking_status is 'no checking', duration is 18, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1126, savings_status is 'no known savings', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 21, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1126
 - savings_status : 'no known savings'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 21
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 18. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1126. The savings_status is 'no known savings'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 21. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>18</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1126</td>
      <td>'no known savings'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>21</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 18 & 'existing paid' & radio/tv & 1126 & 'no known savings' & '<1' & 4 & none & 2 & 'real estate' & 21 & none & rent & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 21, 'checking_status': ""'no checking'"", 'credit_amount': 1126, 'credit_history': ""'existing paid'"", 'duration': 18, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'no known savings'""}",A 21-year-old female German Foreigner is applying for a loan of 1126 credits for 18 months for radio or tv purposes. She has no checking account and no known savings. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for less than one years. She has lived in a rented apartment for 2 years.  She owns some real estate property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
554,female,'<0',24,'all paid','new car',1193,'<100',unemployed,1,'co applicant',4,'no known property',29,none,rent,2,'unemp/unskilled non res',1,none,yes,bad,"gender is female, checking_status is '<0', duration is 24, credit_history is 'all paid', purpose is 'new car', credit_amount is 1193, savings_status is '<100', employment is unemployed, installment_commitment is 1, other_parties is 'co applicant', residence_since is 4, property_magnitude is 'no known property', age is 29, other_payment_plans is none, housing is rent, existing_credits is 2, job is 'unemp/unskilled non res', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 24
 - credit_history : 'all paid'
 - purpose : 'new car'
 - credit_amount : 1193
 - savings_status : '<100'
 - employment : unemployed
 - installment_commitment : 1
 - other_parties : 'co applicant'
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 29
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 2
 - job : 'unemp/unskilled non res'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 24. The credit_history is 'all paid'. The purpose is 'new car'. The credit_amount is 1193. The savings_status is '<100'. The employment is unemployed. The installment_commitment is 1. The other_parties is 'co applicant'. The residence_since is 4. The property_magnitude is 'no known property'. The age is 29. The other_payment_plans is none. The housing is rent. The existing_credits is 2. The job is 'unemp/unskilled non res'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>24</td>
      <td>'all paid'</td>
      <td>'new car'</td>
      <td>1193</td>
      <td>'&lt;100'</td>
      <td>unemployed</td>
      <td>1</td>
      <td>'co applicant'</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>29</td>
      <td>none</td>
      <td>rent</td>
      <td>2</td>
      <td>'unemp/unskilled non res'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 24 & 'all paid' & 'new car' & 1193 & '<100' & unemployed & 1 & 'co applicant' & 4 & 'no known property' & 29 & none & rent & 2 & 'unemp/unskilled non res' & 1 & none & yes \\
\end{tabular}
","{'age': 29, 'checking_status': ""'<0'"", 'credit_amount': 1193, 'credit_history': ""'all paid'"", 'duration': 24, 'employment': 'unemployed', 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 1, 'job': ""'unemp/unskilled non res'"", 'num_dependents': 1, 'other_parties': ""'co applicant'"", 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'no known property'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 29-year-old female German Foreigner is applying for a loan of 1193 credits for 24 months for new car purposes. She has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back all credits at this bank. There co-applicant associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. She has no other installment plans and 2 credits at this bank. She is unemployed and is recognized as an unemployed or unskilled non-resident individual. She has lived in a rented apartment for 4 years.  She owns no known property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
555,male,'no checking',39,'existing paid','used car',8588,'100<=X<500','>=7',4,none,2,car,45,none,own,1,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 39, credit_history is 'existing paid', purpose is 'used car', credit_amount is 8588, savings_status is '100<=X<500', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is car, age is 45, other_payment_plans is none, housing is own, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 39
 - credit_history : 'existing paid'
 - purpose : 'used car'
 - credit_amount : 8588
 - savings_status : '100<=X<500'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 45
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 39. The credit_history is 'existing paid'. The purpose is 'used car'. The credit_amount is 8588. The savings_status is '100<=X<500'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 45. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>39</td>
      <td>'existing paid'</td>
      <td>'used car'</td>
      <td>8588</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>45</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 39 & 'existing paid' & 'used car' & 8588 & '100<=X<500' & '>=7' & 4 & none & 2 & car & 45 & none & own & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 45, 'checking_status': ""'no checking'"", 'credit_amount': 8588, 'credit_history': ""'existing paid'"", 'duration': 39, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': ""'used car'"", 'residence_since': 2, 'savings_status': ""'100<=X<500'""}",A 45-year-old male German Foreigner is applying for a loan of 8588 credits for 39 months for used car purposes. He has no checking account and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 2 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
556,female,'no checking',24,'existing paid',radio/tv,1533,'<100','<1',4,none,3,car,38,stores,own,1,skilled,1,yes,yes,good,"gender is female, checking_status is 'no checking', duration is 24, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1533, savings_status is '<100', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 3, property_magnitude is car, age is 38, other_payment_plans is stores, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1533
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : car
 - age : 38
 - other_payment_plans : stores
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 24. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1533. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 3. The property_magnitude is car. The age is 38. The other_payment_plans is stores. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1533</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>car</td>
      <td>38</td>
      <td>stores</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 24 & 'existing paid' & radio/tv & 1533 & '<100' & '<1' & 4 & none & 3 & car & 38 & stores & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 38, 'checking_status': ""'no checking'"", 'credit_amount': 1533, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'stores', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 3, 'savings_status': ""'<100'""}",A 38-year-old female German Foreigner is applying for a loan of 1533 credits for 24 months for radio or tv purposes. She has no checking account and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has other installment plans with a store and 1 credits at this bank. She is employed for less than one years. She has lived in a self-owned house for 3 years.  She owns a car. She owns a telephone and has 1 person that she is liable to provide maintenance for.
557,male,'<0',18,'existing paid',radio/tv,1345,'<100','1<=X<4',4,none,3,'real estate',26,bank,own,1,skilled,1,none,yes,bad,"gender is male, checking_status is '<0', duration is 18, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1345, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 3, property_magnitude is 'real estate', age is 26, other_payment_plans is bank, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1345
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'real estate'
 - age : 26
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 18. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1345. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 3. The property_magnitude is 'real estate'. The age is 26. The other_payment_plans is bank. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>18</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1345</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>'real estate'</td>
      <td>26</td>
      <td>bank</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 18 & 'existing paid' & radio/tv & 1345 & '<100' & '1<=X<4' & 4 & none & 3 & 'real estate' & 26 & bank & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 26, 'checking_status': ""'<0'"", 'credit_amount': 1345, 'credit_history': ""'existing paid'"", 'duration': 18, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 3, 'savings_status': ""'<100'""}",A 26-year-old male German Foreigner is applying for a loan of 1345 credits for 18 months for radio or tv purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a bank and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 3 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
558,female,'<0',12,'existing paid',furniture/equipment,1620,'<100','1<=X<4',2,'co applicant',3,'life insurance',30,none,own,1,skilled,1,none,yes,good,"gender is female, checking_status is '<0', duration is 12, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 1620, savings_status is '<100', employment is '1<=X<4', installment_commitment is 2, other_parties is 'co applicant', residence_since is 3, property_magnitude is 'life insurance', age is 30, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 1620
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : 'co applicant'
 - residence_since : 3
 - property_magnitude : 'life insurance'
 - age : 30
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 12. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 1620. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is 'co applicant'. The residence_since is 3. The property_magnitude is 'life insurance'. The age is 30. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>1620</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>'co applicant'</td>
      <td>3</td>
      <td>'life insurance'</td>
      <td>30</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 12 & 'existing paid' & furniture/equipment & 1620 & '<100' & '1<=X<4' & 2 & 'co applicant' & 3 & 'life insurance' & 30 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 30, 'checking_status': ""'<0'"", 'credit_amount': 1620, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': ""'co applicant'"", 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 3, 'savings_status': ""'<100'""}",A 30-year-old female German Foreigner is applying for a loan of 1620 credits for 12 months for furniture or equipment purposes. She has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There co-applicant associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has no other installment plans and 1 credits at this bank. She is employed for more than one year but less than four years. She has lived in a self-owned house for 3 years.  She owns life insurance property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
559,male,'0<=X<200',36,'existing paid',furniture/equipment,9034,'100<=X<500','<1',4,'co applicant',1,'no known property',29,none,rent,1,'high qualif/self emp/mgmt',1,yes,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 36, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 9034, savings_status is '100<=X<500', employment is '<1', installment_commitment is 4, other_parties is 'co applicant', residence_since is 1, property_magnitude is 'no known property', age is 29, other_payment_plans is none, housing is rent, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 36
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 9034
 - savings_status : '100<=X<500'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : 'co applicant'
 - residence_since : 1
 - property_magnitude : 'no known property'
 - age : 29
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 36. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 9034. The savings_status is '100<=X<500'. The employment is '<1'. The installment_commitment is 4. The other_parties is 'co applicant'. The residence_since is 1. The property_magnitude is 'no known property'. The age is 29. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>36</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>9034</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>'co applicant'</td>
      <td>1</td>
      <td>'no known property'</td>
      <td>29</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 36 & 'existing paid' & furniture/equipment & 9034 & '100<=X<500' & '<1' & 4 & 'co applicant' & 1 & 'no known property' & 29 & none & rent & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 29, 'checking_status': ""'0<=X<200'"", 'credit_amount': 9034, 'credit_history': ""'existing paid'"", 'duration': 36, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': ""'co applicant'"", 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': 'furniture/equipment', 'residence_since': 1, 'savings_status': ""'100<=X<500'""}",A 29-year-old male German Foreigner is applying for a loan of 9034 credits for 36 months for furniture or equipment purposes. He has a checking account with less than 200 Deutsche Mark and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. He has duly paid back credits received from this bank till now. There co-applicant associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for less than one years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a rented apartment for 1 years.  He owns no known property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
560,male,'0<=X<200',18,'existing paid','new car',6260,'<100','4<=X<7',3,none,3,'real estate',28,none,rent,1,'unskilled resident',1,none,yes,good,"gender is male, checking_status is '0<=X<200', duration is 18, credit_history is 'existing paid', purpose is 'new car', credit_amount is 6260, savings_status is '<100', employment is '4<=X<7', installment_commitment is 3, other_parties is none, residence_since is 3, property_magnitude is 'real estate', age is 28, other_payment_plans is none, housing is rent, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 6260
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'real estate'
 - age : 28
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 18. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 6260. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 3. The other_parties is none. The residence_since is 3. The property_magnitude is 'real estate'. The age is 28. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>18</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>6260</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>3</td>
      <td>none</td>
      <td>3</td>
      <td>'real estate'</td>
      <td>28</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 18 & 'existing paid' & 'new car' & 6260 & '<100' & '4<=X<7' & 3 & none & 3 & 'real estate' & 28 & none & rent & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 28, 'checking_status': ""'0<=X<200'"", 'credit_amount': 6260, 'credit_history': ""'existing paid'"", 'duration': 18, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 3, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 3, 'savings_status': ""'<100'""}",A 28-year-old male German Foreigner is applying for a loan of 6260 credits for 18 months for new car purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 1 credits at this bank. He is employed for more than four years but less than seven years and is recognized as an unskilled resident individual. He has lived in a rented apartment for 3 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
561,female,'0<=X<200',15,'existing paid',repairs,2631,'100<=X<500','1<=X<4',3,none,2,'real estate',25,none,own,1,'unskilled resident',1,none,yes,good,"gender is female, checking_status is '0<=X<200', duration is 15, credit_history is 'existing paid', purpose is repairs, credit_amount is 2631, savings_status is '100<=X<500', employment is '1<=X<4', installment_commitment is 3, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 25, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 15
 - credit_history : 'existing paid'
 - purpose : repairs
 - credit_amount : 2631
 - savings_status : '100<=X<500'
 - employment : '1<=X<4'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 25
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 15. The credit_history is 'existing paid'. The purpose is repairs. The credit_amount is 2631. The savings_status is '100<=X<500'. The employment is '1<=X<4'. The installment_commitment is 3. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 25. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>15</td>
      <td>'existing paid'</td>
      <td>repairs</td>
      <td>2631</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>3</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>25</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 15 & 'existing paid' & repairs & 2631 & '100<=X<500' & '1<=X<4' & 3 & none & 2 & 'real estate' & 25 & none & own & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 25, 'checking_status': ""'0<=X<200'"", 'credit_amount': 2631, 'credit_history': ""'existing paid'"", 'duration': 15, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 3, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'repairs', 'residence_since': 2, 'savings_status': ""'100<=X<500'""}",A 25-year-old female German Foreigner is applying for a loan of 2631 credits for 15 months for repairs purposes. She has a checking account with less than 200 Deutsche Mark and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. She has no other installment plans and 1 credits at this bank. She is employed for more than one year but less than four years and is recognized as an unskilled resident individual. She has lived in a self-owned house for 2 years.  She owns some real estate property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
562,male,'no checking',12,'existing paid',radio/tv,2141,'100<=X<500','4<=X<7',3,none,1,'no known property',35,none,own,1,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 12, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 2141, savings_status is '100<=X<500', employment is '4<=X<7', installment_commitment is 3, other_parties is none, residence_since is 1, property_magnitude is 'no known property', age is 35, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 2141
 - savings_status : '100<=X<500'
 - employment : '4<=X<7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'no known property'
 - age : 35
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 12. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 2141. The savings_status is '100<=X<500'. The employment is '4<=X<7'. The installment_commitment is 3. The other_parties is none. The residence_since is 1. The property_magnitude is 'no known property'. The age is 35. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>2141</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>3</td>
      <td>none</td>
      <td>1</td>
      <td>'no known property'</td>
      <td>35</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 12 & 'existing paid' & radio/tv & 2141 & '100<=X<500' & '4<=X<7' & 3 & none & 1 & 'no known property' & 35 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 35, 'checking_status': ""'no checking'"", 'credit_amount': 2141, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'no known property'"", 'purpose': 'radio/tv', 'residence_since': 1, 'savings_status': ""'100<=X<500'""}",A 35-year-old male German Foreigner is applying for a loan of 2141 credits for 12 months for radio or tv purposes. He has no checking account and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 1 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 1 years.  He owns no known property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
563,female,'<0',12,'existing paid',furniture/equipment,652,'<100','>=7',4,none,4,'life insurance',24,none,rent,1,skilled,1,none,yes,good,"gender is female, checking_status is '<0', duration is 12, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 652, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 24, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 652
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 24
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 12. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 652. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 24. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>652</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>24</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 12 & 'existing paid' & furniture/equipment & 652 & '<100' & '>=7' & 4 & none & 4 & 'life insurance' & 24 & none & rent & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 24, 'checking_status': ""'<0'"", 'credit_amount': 652, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'<100'""}",A 24-year-old female German Foreigner is applying for a loan of 652 credits for 12 months for furniture or equipment purposes. She has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for more than seven years. She has lived in a rented apartment for 4 years.  She owns life insurance property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
564,female,'0<=X<200',36,'existing paid',radio/tv,2671,'100<=X<500','1<=X<4',4,'co applicant',4,'no known property',50,none,'for free',1,skilled,1,none,yes,bad,"gender is female, checking_status is '0<=X<200', duration is 36, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 2671, savings_status is '100<=X<500', employment is '1<=X<4', installment_commitment is 4, other_parties is 'co applicant', residence_since is 4, property_magnitude is 'no known property', age is 50, other_payment_plans is none, housing is 'for free', existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 36
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 2671
 - savings_status : '100<=X<500'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : 'co applicant'
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 50
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 36. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 2671. The savings_status is '100<=X<500'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is 'co applicant'. The residence_since is 4. The property_magnitude is 'no known property'. The age is 50. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>36</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>2671</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>'co applicant'</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>50</td>
      <td>none</td>
      <td>'for free'</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 36 & 'existing paid' & radio/tv & 2671 & '100<=X<500' & '1<=X<4' & 4 & 'co applicant' & 4 & 'no known property' & 50 & none & 'for free' & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 50, 'checking_status': ""'0<=X<200'"", 'credit_amount': 2671, 'credit_history': ""'existing paid'"", 'duration': 36, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': ""'for free'"", 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': ""'co applicant'"", 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'no known property'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'100<=X<500'""}",A 50-year-old female German Foreigner is applying for a loan of 2671 credits for 36 months for radio or tv purposes. She has a checking account with less than 200 Deutsche Mark and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. She has duly paid back credits received from this bank till now. There co-applicant associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for more than one year but less than four years. She has lived in a free accommodation for 4 years.  She owns no known property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
565,male,'no checking',36,'existing paid',business,5742,'100<=X<500','4<=X<7',2,none,2,car,31,none,own,2,skilled,1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 36, credit_history is 'existing paid', purpose is business, credit_amount is 5742, savings_status is '100<=X<500', employment is '4<=X<7', installment_commitment is 2, other_parties is none, residence_since is 2, property_magnitude is car, age is 31, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 36
 - credit_history : 'existing paid'
 - purpose : business
 - credit_amount : 5742
 - savings_status : '100<=X<500'
 - employment : '4<=X<7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 31
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 36. The credit_history is 'existing paid'. The purpose is business. The credit_amount is 5742. The savings_status is '100<=X<500'. The employment is '4<=X<7'. The installment_commitment is 2. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 31. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>36</td>
      <td>'existing paid'</td>
      <td>business</td>
      <td>5742</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>2</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>31</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 36 & 'existing paid' & business & 5742 & '100<=X<500' & '4<=X<7' & 2 & none & 2 & car & 31 & none & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 31, 'checking_status': ""'no checking'"", 'credit_amount': 5742, 'credit_history': ""'existing paid'"", 'duration': 36, 'employment': ""'4<=X<7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'business', 'residence_since': 2, 'savings_status': ""'100<=X<500'""}",A 31-year-old male German Foreigner is applying for a loan of 5742 credits for 36 months for business purposes. He has no checking account and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 2 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 2 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
566,male,'no checking',60,'critical/other existing credit','new car',13756,'no known savings','>=7',2,none,4,'no known property',63,bank,'for free',1,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 60, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 13756, savings_status is 'no known savings', employment is '>=7', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 63, other_payment_plans is bank, housing is 'for free', existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 60
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 13756
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 63
 - other_payment_plans : bank
 - housing : 'for free'
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 60. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 13756. The savings_status is 'no known savings'. The employment is '>=7'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 63. The other_payment_plans is bank. The housing is 'for free'. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>60</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>13756</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>63</td>
      <td>bank</td>
      <td>'for free'</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 60 & 'critical/other existing credit' & 'new car' & 13756 & 'no known savings' & '>=7' & 2 & none & 4 & 'no known property' & 63 & bank & 'for free' & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 63, 'checking_status': ""'no checking'"", 'credit_amount': 13756, 'credit_history': ""'critical/other existing credit'"", 'duration': 60, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 2, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 63-year-old male German Foreigner is applying for a loan of 13756 credits for 60 months for new car purposes. He has no checking account and no known savings. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has other installment plans with a bank and 1 credits at this bank. He is employed for more than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a free accommodation for 4 years.  He owns no known property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
567,male,'no checking',48,'existing paid',business,4844,'<100',unemployed,3,none,2,car,33,bank,rent,1,'high qualif/self emp/mgmt',1,yes,yes,bad,"gender is male, checking_status is 'no checking', duration is 48, credit_history is 'existing paid', purpose is business, credit_amount is 4844, savings_status is '<100', employment is unemployed, installment_commitment is 3, other_parties is none, residence_since is 2, property_magnitude is car, age is 33, other_payment_plans is bank, housing is rent, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 48
 - credit_history : 'existing paid'
 - purpose : business
 - credit_amount : 4844
 - savings_status : '<100'
 - employment : unemployed
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 33
 - other_payment_plans : bank
 - housing : rent
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 48. The credit_history is 'existing paid'. The purpose is business. The credit_amount is 4844. The savings_status is '<100'. The employment is unemployed. The installment_commitment is 3. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 33. The other_payment_plans is bank. The housing is rent. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>48</td>
      <td>'existing paid'</td>
      <td>business</td>
      <td>4844</td>
      <td>'&lt;100'</td>
      <td>unemployed</td>
      <td>3</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>33</td>
      <td>bank</td>
      <td>rent</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 48 & 'existing paid' & business & 4844 & '<100' & unemployed & 3 & none & 2 & car & 33 & bank & rent & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 33, 'checking_status': ""'no checking'"", 'credit_amount': 4844, 'credit_history': ""'existing paid'"", 'duration': 48, 'employment': 'unemployed', 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 3, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'business', 'residence_since': 2, 'savings_status': ""'<100'""}",A 33-year-old male German Foreigner is applying for a loan of 4844 credits for 48 months for business purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has other installment plans with a bank and 1 credits at this bank. He is unemployed and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a rented apartment for 2 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
568,female,'no checking',18,'existing paid',repairs,1943,'<100','<1',4,none,4,'real estate',23,none,own,1,skilled,1,none,yes,bad,"gender is female, checking_status is 'no checking', duration is 18, credit_history is 'existing paid', purpose is repairs, credit_amount is 1943, savings_status is '<100', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 23, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : repairs
 - credit_amount : 1943
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 23
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 18. The credit_history is 'existing paid'. The purpose is repairs. The credit_amount is 1943. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 23. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>18</td>
      <td>'existing paid'</td>
      <td>repairs</td>
      <td>1943</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>23</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 18 & 'existing paid' & repairs & 1943 & '<100' & '<1' & 4 & none & 4 & 'real estate' & 23 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 23, 'checking_status': ""'no checking'"", 'credit_amount': 1943, 'credit_history': ""'existing paid'"", 'duration': 18, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'repairs', 'residence_since': 4, 'savings_status': ""'<100'""}",A 23-year-old female German Foreigner is applying for a loan of 1943 credits for 18 months for repairs purposes. She has no checking account and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for less than one years. She has lived in a self-owned house for 4 years.  She owns some real estate property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
569,male,'0<=X<200',18,'existing paid',radio/tv,866,'<100','1<=X<4',4,guarantor,2,'real estate',25,none,own,1,'unskilled resident',1,none,yes,good,"gender is male, checking_status is '0<=X<200', duration is 18, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 866, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is guarantor, residence_since is 2, property_magnitude is 'real estate', age is 25, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 866
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : guarantor
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 25
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 18. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 866. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is guarantor. The residence_since is 2. The property_magnitude is 'real estate'. The age is 25. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>18</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>866</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>guarantor</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>25</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 18 & 'existing paid' & radio/tv & 866 & '<100' & '1<=X<4' & 4 & guarantor & 2 & 'real estate' & 25 & none & own & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 25, 'checking_status': ""'0<=X<200'"", 'credit_amount': 866, 'credit_history': ""'existing paid'"", 'duration': 18, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'guarantor', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 25-year-old male German Foreigner is applying for a loan of 866 credits for 18 months for radio or tv purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There is a guarantor associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 2 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
570,male,'0<=X<200',18,'existing paid',business,1941,'>=1000','1<=X<4',4,none,2,'life insurance',35,none,own,1,'unskilled resident',1,yes,yes,good,"gender is male, checking_status is '0<=X<200', duration is 18, credit_history is 'existing paid', purpose is business, credit_amount is 1941, savings_status is '>=1000', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is 'life insurance', age is 35, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : business
 - credit_amount : 1941
 - savings_status : '>=1000'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 35
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 18. The credit_history is 'existing paid'. The purpose is business. The credit_amount is 1941. The savings_status is '>=1000'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 35. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>18</td>
      <td>'existing paid'</td>
      <td>business</td>
      <td>1941</td>
      <td>'&gt;=1000'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>35</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 18 & 'existing paid' & business & 1941 & '>=1000' & '1<=X<4' & 4 & none & 2 & 'life insurance' & 35 & none & own & 1 & 'unskilled resident' & 1 & yes & yes \\
\end{tabular}
","{'age': 35, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1941, 'credit_history': ""'existing paid'"", 'duration': 18, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': 'business', 'residence_since': 2, 'savings_status': ""'>=1000'""}",A 35-year-old male German Foreigner is applying for a loan of 1941 credits for 18 months for business purposes. He has a checking account with less than 200 Deutsche Mark and a savings with 1000 Deutsche Mark or more. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 2 years.  He owns life insurance property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
571,male,'no checking',24,'critical/other existing credit',furniture/equipment,5150,'<100','>=7',4,none,4,car,33,none,own,1,skilled,1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'critical/other existing credit', purpose is furniture/equipment, credit_amount is 5150, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is car, age is 33, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'critical/other existing credit'
 - purpose : furniture/equipment
 - credit_amount : 5150
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 33
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 24. The credit_history is 'critical/other existing credit'. The purpose is furniture/equipment. The credit_amount is 5150. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 33. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'critical/other existing credit'</td>
      <td>furniture/equipment</td>
      <td>5150</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>33</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 24 & 'critical/other existing credit' & furniture/equipment & 5150 & '<100' & '>=7' & 4 & none & 4 & car & 33 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 33, 'checking_status': ""'no checking'"", 'credit_amount': 5150, 'credit_history': ""'critical/other existing credit'"", 'duration': 24, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'<100'""}",A 33-year-old male German Foreigner is applying for a loan of 5150 credits for 24 months for furniture or equipment purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 4 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
572,female,'0<=X<200',24,'existing paid',furniture/equipment,4351,'no known savings','1<=X<4',1,none,4,'life insurance',48,none,own,1,'unskilled resident',1,yes,yes,good,"gender is female, checking_status is '0<=X<200', duration is 24, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 4351, savings_status is 'no known savings', employment is '1<=X<4', installment_commitment is 1, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 48, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 4351
 - savings_status : 'no known savings'
 - employment : '1<=X<4'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 48
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 24. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 4351. The savings_status is 'no known savings'. The employment is '1<=X<4'. The installment_commitment is 1. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 48. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>4351</td>
      <td>'no known savings'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>1</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>48</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 24 & 'existing paid' & furniture/equipment & 4351 & 'no known savings' & '1<=X<4' & 1 & none & 4 & 'life insurance' & 48 & none & own & 1 & 'unskilled resident' & 1 & yes & yes \\
\end{tabular}
","{'age': 48, 'checking_status': ""'0<=X<200'"", 'credit_amount': 4351, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 1, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 48-year-old female German Foreigner is applying for a loan of 4351 credits for 24 months for furniture or equipment purposes. She has a checking account with less than 200 Deutsche Mark and no known savings. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. She has no other installment plans and 1 credits at this bank. She is employed for more than one year but less than four years and is recognized as an unskilled resident individual. She has lived in a self-owned house for 4 years.  She owns life insurance property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
573,male,'>=200',24,'existing paid','new car',947,'<100','4<=X<7',4,none,3,'no known property',38,bank,'for free',1,skilled,2,none,yes,bad,"gender is male, checking_status is '>=200', duration is 24, credit_history is 'existing paid', purpose is 'new car', credit_amount is 947, savings_status is '<100', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 3, property_magnitude is 'no known property', age is 38, other_payment_plans is bank, housing is 'for free', existing_credits is 1, job is skilled, num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '>=200'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 947
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'no known property'
 - age : 38
 - other_payment_plans : bank
 - housing : 'for free'
 - existing_credits : 1
 - job : skilled
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '>=200'. The duration is 24. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 947. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is none. The residence_since is 3. The property_magnitude is 'no known property'. The age is 38. The other_payment_plans is bank. The housing is 'for free'. The existing_credits is 1. The job is skilled. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&gt;=200'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>947</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>'no known property'</td>
      <td>38</td>
      <td>bank</td>
      <td>'for free'</td>
      <td>1</td>
      <td>skilled</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '>=200' & 24 & 'existing paid' & 'new car' & 947 & '<100' & '4<=X<7' & 4 & none & 3 & 'no known property' & 38 & bank & 'for free' & 1 & skilled & 2 & none & yes \\
\end{tabular}
","{'age': 38, 'checking_status': ""'>=200'"", 'credit_amount': 947, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': ""'no known property'"", 'purpose': ""'new car'"", 'residence_since': 3, 'savings_status': ""'<100'""}",A 38-year-old male German Foreigner is applying for a loan of 947 credits for 24 months for new car purposes. He has a checking account with 200 Deutsche Mark or more and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a bank and 1 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a free accommodation for 3 years.  He owns no known property. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
574,female,'0<=X<200',24,'existing paid',radio/tv,1967,'<100','>=7',4,none,4,car,20,none,own,1,skilled,1,yes,yes,good,"gender is female, checking_status is '0<=X<200', duration is 24, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1967, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is car, age is 20, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1967
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 20
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 24. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1967. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 20. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1967</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>20</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 24 & 'existing paid' & radio/tv & 1967 & '<100' & '>=7' & 4 & none & 4 & car & 20 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 20, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1967, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'<100'""}",A 20-year-old female German Foreigner is applying for a loan of 1967 credits for 24 months for radio or tv purposes. She has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for more than seven years. She has lived in a self-owned house for 4 years.  She owns a car. She owns a telephone and has 1 person that she is liable to provide maintenance for.
575,female,'no checking',15,'existing paid',furniture/equipment,2186,'no known savings','4<=X<7',1,none,4,'real estate',33,bank,rent,1,'unskilled resident',1,none,yes,good,"gender is female, checking_status is 'no checking', duration is 15, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 2186, savings_status is 'no known savings', employment is '4<=X<7', installment_commitment is 1, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 33, other_payment_plans is bank, housing is rent, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 15
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 2186
 - savings_status : 'no known savings'
 - employment : '4<=X<7'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 33
 - other_payment_plans : bank
 - housing : rent
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 15. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 2186. The savings_status is 'no known savings'. The employment is '4<=X<7'. The installment_commitment is 1. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 33. The other_payment_plans is bank. The housing is rent. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>15</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>2186</td>
      <td>'no known savings'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>1</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>33</td>
      <td>bank</td>
      <td>rent</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 15 & 'existing paid' & furniture/equipment & 2186 & 'no known savings' & '4<=X<7' & 1 & none & 4 & 'real estate' & 33 & bank & rent & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 33, 'checking_status': ""'no checking'"", 'credit_amount': 2186, 'credit_history': ""'existing paid'"", 'duration': 15, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 1, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 33-year-old female German Foreigner is applying for a loan of 2186 credits for 15 months for furniture or equipment purposes. She has no checking account and no known savings. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. She has other installment plans with a bank and 1 credits at this bank. She is employed for more than four years but less than seven years and is recognized as an unskilled resident individual. She has lived in a rented apartment for 4 years.  She owns some real estate property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
576,male,'0<=X<200',9,'existing paid',radio/tv,2118,'<100','1<=X<4',2,none,2,'real estate',37,none,own,1,'unskilled resident',2,none,yes,good,"gender is male, checking_status is '0<=X<200', duration is 9, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 2118, savings_status is '<100', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 37, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 9
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 2118
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 37
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 9. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 2118. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 37. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>9</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>2118</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>37</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 9 & 'existing paid' & radio/tv & 2118 & '<100' & '1<=X<4' & 2 & none & 2 & 'real estate' & 37 & none & own & 1 & 'unskilled resident' & 2 & none & yes \\
\end{tabular}
","{'age': 37, 'checking_status': ""'0<=X<200'"", 'credit_amount': 2118, 'credit_history': ""'existing paid'"", 'duration': 9, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': ""'unskilled resident'"", 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 37-year-old male German Foreigner is applying for a loan of 2118 credits for 9 months for radio or tv purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 2 years.  He owns some real estate property. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
577,male,'no checking',12,'existing paid',radio/tv,776,'<100','1<=X<4',4,none,2,'real estate',28,none,own,1,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 12, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 776, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 28, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 776
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 28
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 12. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 776. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 28. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>776</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>28</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 12 & 'existing paid' & radio/tv & 776 & '<100' & '1<=X<4' & 4 & none & 2 & 'real estate' & 28 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 28, 'checking_status': ""'no checking'"", 'credit_amount': 776, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 28-year-old male German Foreigner is applying for a loan of 776 credits for 12 months for radio or tv purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 2 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
578,female,'no checking',15,'existing paid','used car',3812,'100<=X<500','<1',1,none,4,car,23,none,own,1,skilled,1,yes,yes,good,"gender is female, checking_status is 'no checking', duration is 15, credit_history is 'existing paid', purpose is 'used car', credit_amount is 3812, savings_status is '100<=X<500', employment is '<1', installment_commitment is 1, other_parties is none, residence_since is 4, property_magnitude is car, age is 23, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 15
 - credit_history : 'existing paid'
 - purpose : 'used car'
 - credit_amount : 3812
 - savings_status : '100<=X<500'
 - employment : '<1'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 23
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 15. The credit_history is 'existing paid'. The purpose is 'used car'. The credit_amount is 3812. The savings_status is '100<=X<500'. The employment is '<1'. The installment_commitment is 1. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 23. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>15</td>
      <td>'existing paid'</td>
      <td>'used car'</td>
      <td>3812</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'&lt;1'</td>
      <td>1</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>23</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 15 & 'existing paid' & 'used car' & 3812 & '100<=X<500' & '<1' & 1 & none & 4 & car & 23 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 23, 'checking_status': ""'no checking'"", 'credit_amount': 3812, 'credit_history': ""'existing paid'"", 'duration': 15, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'100<=X<500'""}",A 23-year-old female German Foreigner is applying for a loan of 3812 credits for 15 months for used car purposes. She has no checking account and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. She has no other installment plans and 1 credits at this bank. She is employed for less than one years. She has lived in a self-owned house for 4 years.  She owns a car. She owns a telephone and has 1 person that she is liable to provide maintenance for.
579,male,'<0',39,'critical/other existing credit',furniture/equipment,14179,'no known savings','4<=X<7',4,none,4,'life insurance',30,none,own,2,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is male, checking_status is '<0', duration is 39, credit_history is 'critical/other existing credit', purpose is furniture/equipment, credit_amount is 14179, savings_status is 'no known savings', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 30, other_payment_plans is none, housing is own, existing_credits is 2, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 39
 - credit_history : 'critical/other existing credit'
 - purpose : furniture/equipment
 - credit_amount : 14179
 - savings_status : 'no known savings'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 30
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 39. The credit_history is 'critical/other existing credit'. The purpose is furniture/equipment. The credit_amount is 14179. The savings_status is 'no known savings'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 30. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>39</td>
      <td>'critical/other existing credit'</td>
      <td>furniture/equipment</td>
      <td>14179</td>
      <td>'no known savings'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>30</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 39 & 'critical/other existing credit' & furniture/equipment & 14179 & 'no known savings' & '4<=X<7' & 4 & none & 4 & 'life insurance' & 30 & none & own & 2 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 30, 'checking_status': ""'<0'"", 'credit_amount': 14179, 'credit_history': ""'critical/other existing credit'"", 'duration': 39, 'employment': ""'4<=X<7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 30-year-old male German Foreigner is applying for a loan of 14179 credits for 39 months for furniture or equipment purposes. He has a checking account with 0 Deutsche Mark and no known savings. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than four years but less than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 4 years.  He owns life insurance property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
580,male,'0<=X<200',9,'all paid','new car',1437,'100<=X<500','4<=X<7',2,none,3,'no known property',29,none,own,1,skilled,1,none,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 9, credit_history is 'all paid', purpose is 'new car', credit_amount is 1437, savings_status is '100<=X<500', employment is '4<=X<7', installment_commitment is 2, other_parties is none, residence_since is 3, property_magnitude is 'no known property', age is 29, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 9
 - credit_history : 'all paid'
 - purpose : 'new car'
 - credit_amount : 1437
 - savings_status : '100<=X<500'
 - employment : '4<=X<7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'no known property'
 - age : 29
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 9. The credit_history is 'all paid'. The purpose is 'new car'. The credit_amount is 1437. The savings_status is '100<=X<500'. The employment is '4<=X<7'. The installment_commitment is 2. The other_parties is none. The residence_since is 3. The property_magnitude is 'no known property'. The age is 29. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>9</td>
      <td>'all paid'</td>
      <td>'new car'</td>
      <td>1437</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>2</td>
      <td>none</td>
      <td>3</td>
      <td>'no known property'</td>
      <td>29</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 9 & 'all paid' & 'new car' & 1437 & '100<=X<500' & '4<=X<7' & 2 & none & 3 & 'no known property' & 29 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 29, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1437, 'credit_history': ""'all paid'"", 'duration': 9, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'no known property'"", 'purpose': ""'new car'"", 'residence_since': 3, 'savings_status': ""'100<=X<500'""}",A 29-year-old male German Foreigner is applying for a loan of 1437 credits for 9 months for new car purposes. He has a checking account with less than 200 Deutsche Mark and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. He has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 3 years.  He owns no known property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
581,male,'0<=X<200',15,'existing paid',radio/tv,1444,'no known savings','<1',4,none,1,'life insurance',23,none,own,1,skilled,1,none,yes,good,"gender is male, checking_status is '0<=X<200', duration is 15, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1444, savings_status is 'no known savings', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 1, property_magnitude is 'life insurance', age is 23, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 15
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1444
 - savings_status : 'no known savings'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'life insurance'
 - age : 23
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 15. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1444. The savings_status is 'no known savings'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 1. The property_magnitude is 'life insurance'. The age is 23. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>15</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1444</td>
      <td>'no known savings'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>1</td>
      <td>'life insurance'</td>
      <td>23</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 15 & 'existing paid' & radio/tv & 1444 & 'no known savings' & '<1' & 4 & none & 1 & 'life insurance' & 23 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 23, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1444, 'credit_history': ""'existing paid'"", 'duration': 15, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'radio/tv', 'residence_since': 1, 'savings_status': ""'no known savings'""}",A 23-year-old male German Foreigner is applying for a loan of 1444 credits for 15 months for radio or tv purposes. He has a checking account with less than 200 Deutsche Mark and no known savings. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for less than one years. He has lived in a self-owned house for 1 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
582,male,'>=200',18,'all paid',radio/tv,1445,'no known savings','4<=X<7',4,none,4,car,49,bank,own,1,'unskilled resident',1,none,yes,good,"gender is male, checking_status is '>=200', duration is 18, credit_history is 'all paid', purpose is radio/tv, credit_amount is 1445, savings_status is 'no known savings', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is car, age is 49, other_payment_plans is bank, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '>=200'
 - duration : 18
 - credit_history : 'all paid'
 - purpose : radio/tv
 - credit_amount : 1445
 - savings_status : 'no known savings'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 49
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '>=200'. The duration is 18. The credit_history is 'all paid'. The purpose is radio/tv. The credit_amount is 1445. The savings_status is 'no known savings'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 49. The other_payment_plans is bank. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&gt;=200'</td>
      <td>18</td>
      <td>'all paid'</td>
      <td>radio/tv</td>
      <td>1445</td>
      <td>'no known savings'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>49</td>
      <td>bank</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '>=200' & 18 & 'all paid' & radio/tv & 1445 & 'no known savings' & '4<=X<7' & 4 & none & 4 & car & 49 & bank & own & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 49, 'checking_status': ""'>=200'"", 'credit_amount': 1445, 'credit_history': ""'all paid'"", 'duration': 18, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 49-year-old male German Foreigner is applying for a loan of 1445 credits for 18 months for radio or tv purposes. He has a checking account with 200 Deutsche Mark or more and no known savings. He has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a bank and 1 credits at this bank. He is employed for more than four years but less than seven years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 4 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
583,male,'no checking',18,'delayed previously',radio/tv,2320,'<100',unemployed,2,none,3,'real estate',34,none,own,2,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 18, credit_history is 'delayed previously', purpose is radio/tv, credit_amount is 2320, savings_status is '<100', employment is unemployed, installment_commitment is 2, other_parties is none, residence_since is 3, property_magnitude is 'real estate', age is 34, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 18
 - credit_history : 'delayed previously'
 - purpose : radio/tv
 - credit_amount : 2320
 - savings_status : '<100'
 - employment : unemployed
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'real estate'
 - age : 34
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 18. The credit_history is 'delayed previously'. The purpose is radio/tv. The credit_amount is 2320. The savings_status is '<100'. The employment is unemployed. The installment_commitment is 2. The other_parties is none. The residence_since is 3. The property_magnitude is 'real estate'. The age is 34. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>18</td>
      <td>'delayed previously'</td>
      <td>radio/tv</td>
      <td>2320</td>
      <td>'&lt;100'</td>
      <td>unemployed</td>
      <td>2</td>
      <td>none</td>
      <td>3</td>
      <td>'real estate'</td>
      <td>34</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 18 & 'delayed previously' & radio/tv & 2320 & '<100' & unemployed & 2 & none & 3 & 'real estate' & 34 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 34, 'checking_status': ""'no checking'"", 'credit_amount': 2320, 'credit_history': ""'delayed previously'"", 'duration': 18, 'employment': 'unemployed', 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 3, 'savings_status': ""'<100'""}",A 34-year-old male German Foreigner is applying for a loan of 2320 credits for 18 months for radio or tv purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 2 credits at this bank. He is unemployed. He has lived in a self-owned house for 3 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
584,male,'no checking',30,'delayed previously',business,4272,'100<=X<500','1<=X<4',2,none,2,'life insurance',26,none,own,2,'unskilled resident',1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 30, credit_history is 'delayed previously', purpose is business, credit_amount is 4272, savings_status is '100<=X<500', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 2, property_magnitude is 'life insurance', age is 26, other_payment_plans is none, housing is own, existing_credits is 2, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 30
 - credit_history : 'delayed previously'
 - purpose : business
 - credit_amount : 4272
 - savings_status : '100<=X<500'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 26
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 30. The credit_history is 'delayed previously'. The purpose is business. The credit_amount is 4272. The savings_status is '100<=X<500'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 26. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>30</td>
      <td>'delayed previously'</td>
      <td>business</td>
      <td>4272</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>26</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 30 & 'delayed previously' & business & 4272 & '100<=X<500' & '1<=X<4' & 2 & none & 2 & 'life insurance' & 26 & none & own & 2 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 26, 'checking_status': ""'no checking'"", 'credit_amount': 4272, 'credit_history': ""'delayed previously'"", 'duration': 30, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'business', 'residence_since': 2, 'savings_status': ""'100<=X<500'""}",A 26-year-old male German Foreigner is applying for a loan of 4272 credits for 30 months for business purposes. He has no checking account and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 2 credits at this bank. He is employed for more than one year but less than four years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 2 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
585,male,'no checking',15,'existing paid','used car',4657,'<100','1<=X<4',3,none,2,car,30,none,own,1,skilled,1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 15, credit_history is 'existing paid', purpose is 'used car', credit_amount is 4657, savings_status is '<100', employment is '1<=X<4', installment_commitment is 3, other_parties is none, residence_since is 2, property_magnitude is car, age is 30, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 15
 - credit_history : 'existing paid'
 - purpose : 'used car'
 - credit_amount : 4657
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 30
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 15. The credit_history is 'existing paid'. The purpose is 'used car'. The credit_amount is 4657. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 3. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 30. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>15</td>
      <td>'existing paid'</td>
      <td>'used car'</td>
      <td>4657</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>3</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>30</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 15 & 'existing paid' & 'used car' & 4657 & '<100' & '1<=X<4' & 3 & none & 2 & car & 30 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 30, 'checking_status': ""'no checking'"", 'credit_amount': 4657, 'credit_history': ""'existing paid'"", 'duration': 15, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': ""'used car'"", 'residence_since': 2, 'savings_status': ""'<100'""}",A 30-year-old male German Foreigner is applying for a loan of 4657 credits for 15 months for used car purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 2 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
586,female,'no checking',36,'existing paid',furniture/equipment,10974,'<100',unemployed,4,none,2,car,26,none,own,2,'high qualif/self emp/mgmt',1,yes,yes,bad,"gender is female, checking_status is 'no checking', duration is 36, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 10974, savings_status is '<100', employment is unemployed, installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is car, age is 26, other_payment_plans is none, housing is own, existing_credits is 2, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 36
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 10974
 - savings_status : '<100'
 - employment : unemployed
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 26
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 36. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 10974. The savings_status is '<100'. The employment is unemployed. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 26. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>36</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>10974</td>
      <td>'&lt;100'</td>
      <td>unemployed</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>26</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 36 & 'existing paid' & furniture/equipment & 10974 & '<100' & unemployed & 4 & none & 2 & car & 26 & none & own & 2 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 26, 'checking_status': ""'no checking'"", 'credit_amount': 10974, 'credit_history': ""'existing paid'"", 'duration': 36, 'employment': 'unemployed', 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'furniture/equipment', 'residence_since': 2, 'savings_status': ""'<100'""}",A 26-year-old female German Foreigner is applying for a loan of 10974 credits for 36 months for furniture or equipment purposes. She has no checking account and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 2 credits at this bank. She is unemployed and is recognized as a highly qualified employee or is self employed or has managerial position. She has lived in a self-owned house for 2 years.  She owns a car. She owns a telephone and has 1 person that she is liable to provide maintenance for.
587,male,'<0',48,'existing paid','new car',3931,'<100','4<=X<7',4,none,4,'no known property',46,none,'for free',1,skilled,2,none,yes,bad,"gender is male, checking_status is '<0', duration is 48, credit_history is 'existing paid', purpose is 'new car', credit_amount is 3931, savings_status is '<100', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 46, other_payment_plans is none, housing is 'for free', existing_credits is 1, job is skilled, num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 48
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 3931
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 46
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 1
 - job : skilled
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 48. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 3931. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 46. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 1. The job is skilled. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>48</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>3931</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>46</td>
      <td>none</td>
      <td>'for free'</td>
      <td>1</td>
      <td>skilled</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 48 & 'existing paid' & 'new car' & 3931 & '<100' & '4<=X<7' & 4 & none & 4 & 'no known property' & 46 & none & 'for free' & 1 & skilled & 2 & none & yes \\
\end{tabular}
","{'age': 46, 'checking_status': ""'<0'"", 'credit_amount': 3931, 'credit_history': ""'existing paid'"", 'duration': 48, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'no known property'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 46-year-old male German Foreigner is applying for a loan of 3931 credits for 48 months for new car purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a free accommodation for 4 years.  He owns no known property. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
588,male,'<0',9,'existing paid','new car',654,'<100','1<=X<4',4,none,3,car,28,none,own,1,'unskilled resident',1,none,yes,bad,"gender is male, checking_status is '<0', duration is 9, credit_history is 'existing paid', purpose is 'new car', credit_amount is 654, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 3, property_magnitude is car, age is 28, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 9
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 654
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : car
 - age : 28
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 9. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 654. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 3. The property_magnitude is car. The age is 28. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>9</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>654</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>car</td>
      <td>28</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 9 & 'existing paid' & 'new car' & 654 & '<100' & '1<=X<4' & 4 & none & 3 & car & 28 & none & own & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 28, 'checking_status': ""'<0'"", 'credit_amount': 654, 'credit_history': ""'existing paid'"", 'duration': 9, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 3, 'savings_status': ""'<100'""}",A 28-year-old male German Foreigner is applying for a loan of 654 credits for 9 months for new car purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 3 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
589,female,'0<=X<200',24,'existing paid',radio/tv,3758,'500<=X<1000',unemployed,1,none,4,'no known property',23,none,rent,1,'unemp/unskilled non res',1,none,yes,good,"gender is female, checking_status is '0<=X<200', duration is 24, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 3758, savings_status is '500<=X<1000', employment is unemployed, installment_commitment is 1, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 23, other_payment_plans is none, housing is rent, existing_credits is 1, job is 'unemp/unskilled non res', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 3758
 - savings_status : '500<=X<1000'
 - employment : unemployed
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 23
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : 'unemp/unskilled non res'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 24. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 3758. The savings_status is '500<=X<1000'. The employment is unemployed. The installment_commitment is 1. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 23. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is 'unemp/unskilled non res'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>3758</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>unemployed</td>
      <td>1</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>23</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>'unemp/unskilled non res'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 24 & 'existing paid' & radio/tv & 3758 & '500<=X<1000' & unemployed & 1 & none & 4 & 'no known property' & 23 & none & rent & 1 & 'unemp/unskilled non res' & 1 & none & yes \\
\end{tabular}
","{'age': 23, 'checking_status': ""'0<=X<200'"", 'credit_amount': 3758, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': 'unemployed', 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 1, 'job': ""'unemp/unskilled non res'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'no known property'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'500<=X<1000'""}",A 23-year-old female German Foreigner is applying for a loan of 3758 credits for 24 months for radio or tv purposes. She has a checking account with less than 200 Deutsche Mark and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. She has no other installment plans and 1 credits at this bank. She is unemployed and is recognized as an unemployed or unskilled non-resident individual. She has lived in a rented apartment for 4 years.  She owns no known property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
590,male,'no checking',10,'existing paid','new car',1309,'no known savings','1<=X<4',4,guarantor,4,'life insurance',27,none,own,1,'unskilled resident',1,none,yes,bad,"gender is male, checking_status is 'no checking', duration is 10, credit_history is 'existing paid', purpose is 'new car', credit_amount is 1309, savings_status is 'no known savings', employment is '1<=X<4', installment_commitment is 4, other_parties is guarantor, residence_since is 4, property_magnitude is 'life insurance', age is 27, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 10
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 1309
 - savings_status : 'no known savings'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : guarantor
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 27
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 10. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 1309. The savings_status is 'no known savings'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is guarantor. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 27. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>10</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>1309</td>
      <td>'no known savings'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>guarantor</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>27</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 10 & 'existing paid' & 'new car' & 1309 & 'no known savings' & '1<=X<4' & 4 & guarantor & 4 & 'life insurance' & 27 & none & own & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 27, 'checking_status': ""'no checking'"", 'credit_amount': 1309, 'credit_history': ""'existing paid'"", 'duration': 10, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'guarantor', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 27-year-old male German Foreigner is applying for a loan of 1309 credits for 10 months for new car purposes. He has no checking account and no known savings. He has duly paid back credits received from this bank till now. There is a guarantor associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 4 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
591,male,'<0',42,'delayed previously',radio/tv,4370,'<100','4<=X<7',3,none,2,'life insurance',26,bank,own,2,skilled,2,yes,yes,bad,"gender is male, checking_status is '<0', duration is 42, credit_history is 'delayed previously', purpose is radio/tv, credit_amount is 4370, savings_status is '<100', employment is '4<=X<7', installment_commitment is 3, other_parties is none, residence_since is 2, property_magnitude is 'life insurance', age is 26, other_payment_plans is bank, housing is own, existing_credits is 2, job is skilled, num_dependents is 2, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 42
 - credit_history : 'delayed previously'
 - purpose : radio/tv
 - credit_amount : 4370
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 26
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 2
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 42. The credit_history is 'delayed previously'. The purpose is radio/tv. The credit_amount is 4370. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 3. The other_parties is none. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 26. The other_payment_plans is bank. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 2. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>42</td>
      <td>'delayed previously'</td>
      <td>radio/tv</td>
      <td>4370</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>3</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>26</td>
      <td>bank</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>2</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 42 & 'delayed previously' & radio/tv & 4370 & '<100' & '4<=X<7' & 3 & none & 2 & 'life insurance' & 26 & bank & own & 2 & skilled & 2 & yes & yes \\
\end{tabular}
","{'age': 26, 'checking_status': ""'<0'"", 'credit_amount': 4370, 'credit_history': ""'delayed previously'"", 'duration': 42, 'employment': ""'4<=X<7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 26-year-old male German Foreigner is applying for a loan of 4370 credits for 42 months for radio or tv purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has other installment plans with a bank and 2 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 2 years.  He owns life insurance property. He owns a telephone and has 2 people that he is liable to provide maintenance for.
592,female,'no checking',13,'existing paid',radio/tv,1409,'100<=X<500',unemployed,2,none,4,'real estate',64,none,own,1,skilled,1,none,yes,good,"gender is female, checking_status is 'no checking', duration is 13, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1409, savings_status is '100<=X<500', employment is unemployed, installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 64, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 13
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1409
 - savings_status : '100<=X<500'
 - employment : unemployed
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 64
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 13. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1409. The savings_status is '100<=X<500'. The employment is unemployed. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 64. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>13</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1409</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>unemployed</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>64</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 13 & 'existing paid' & radio/tv & 1409 & '100<=X<500' & unemployed & 2 & none & 4 & 'real estate' & 64 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 64, 'checking_status': ""'no checking'"", 'credit_amount': 1409, 'credit_history': ""'existing paid'"", 'duration': 13, 'employment': 'unemployed', 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'100<=X<500'""}",A 64-year-old female German Foreigner is applying for a loan of 1409 credits for 13 months for radio or tv purposes. She has no checking account and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has no other installment plans and 1 credits at this bank. She is unemployed. She has lived in a self-owned house for 4 years.  She owns some real estate property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
593,male,'no checking',30,'existing paid',radio/tv,1867,'no known savings','>=7',4,none,4,car,58,none,own,1,skilled,1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 30, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1867, savings_status is 'no known savings', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is car, age is 58, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 30
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1867
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 58
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 30. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1867. The savings_status is 'no known savings'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 58. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>30</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1867</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>58</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 30 & 'existing paid' & radio/tv & 1867 & 'no known savings' & '>=7' & 4 & none & 4 & car & 58 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 58, 'checking_status': ""'no checking'"", 'credit_amount': 1867, 'credit_history': ""'existing paid'"", 'duration': 30, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 58-year-old male German Foreigner is applying for a loan of 1867 credits for 30 months for radio or tv purposes. He has no checking account and no known savings. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 4 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
594,male,'<0',12,'existing paid',radio/tv,1107,'<100','1<=X<4',2,none,2,'real estate',20,none,rent,1,'high qualif/self emp/mgmt',2,yes,yes,good,"gender is male, checking_status is '<0', duration is 12, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1107, savings_status is '<100', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 20, other_payment_plans is none, housing is rent, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 2, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1107
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 20
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 2
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 12. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1107. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 20. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 2. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1107</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>20</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>2</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 12 & 'existing paid' & radio/tv & 1107 & '<100' & '1<=X<4' & 2 & none & 2 & 'real estate' & 20 & none & rent & 1 & 'high qualif/self emp/mgmt' & 2 & yes & yes \\
\end{tabular}
","{'age': 20, 'checking_status': ""'<0'"", 'credit_amount': 1107, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 2, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 20-year-old male German Foreigner is applying for a loan of 1107 credits for 12 months for radio or tv purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a rented apartment for 2 years.  He owns some real estate property. He owns a telephone and has 2 people that he is liable to provide maintenance for.
595,male,'no checking',12,'existing paid','new car',640,'<100','1<=X<4',4,none,2,'real estate',49,none,own,1,'unskilled resident',1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 12, credit_history is 'existing paid', purpose is 'new car', credit_amount is 640, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 49, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 640
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 49
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 12. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 640. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 49. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>640</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>49</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 12 & 'existing paid' & 'new car' & 640 & '<100' & '1<=X<4' & 4 & none & 2 & 'real estate' & 49 & none & own & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 49, 'checking_status': ""'no checking'"", 'credit_amount': 640, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'<100'""}",A 49-year-old male German Foreigner is applying for a loan of 640 credits for 12 months for new car purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 2 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
596,male,'no checking',24,'existing paid','new car',1474,'100<=X<500','<1',4,none,3,'real estate',33,none,own,1,skilled,1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'existing paid', purpose is 'new car', credit_amount is 1474, savings_status is '100<=X<500', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 3, property_magnitude is 'real estate', age is 33, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 1474
 - savings_status : '100<=X<500'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'real estate'
 - age : 33
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 24. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 1474. The savings_status is '100<=X<500'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 3. The property_magnitude is 'real estate'. The age is 33. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>1474</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>'real estate'</td>
      <td>33</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 24 & 'existing paid' & 'new car' & 1474 & '100<=X<500' & '<1' & 4 & none & 3 & 'real estate' & 33 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 33, 'checking_status': ""'no checking'"", 'credit_amount': 1474, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 3, 'savings_status': ""'100<=X<500'""}",A 33-year-old male German Foreigner is applying for a loan of 1474 credits for 24 months for new car purposes. He has no checking account and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for less than one years. He has lived in a self-owned house for 3 years.  He owns some real estate property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
597,male,'no checking',12,'critical/other existing credit',radio/tv,976,'no known savings','>=7',4,none,4,car,35,none,own,2,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 12, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 976, savings_status is 'no known savings', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is car, age is 35, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 976
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 35
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 12. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 976. The savings_status is 'no known savings'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 35. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>12</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>976</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>35</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 12 & 'critical/other existing credit' & radio/tv & 976 & 'no known savings' & '>=7' & 4 & none & 4 & car & 35 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 35, 'checking_status': ""'no checking'"", 'credit_amount': 976, 'credit_history': ""'critical/other existing credit'"", 'duration': 12, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 35-year-old male German Foreigner is applying for a loan of 976 credits for 12 months for radio or tv purposes. He has no checking account and no known savings. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 4 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
598,male,'no checking',36,'delayed previously',business,7980,'no known savings','<1',4,none,4,car,27,none,rent,2,skilled,1,yes,yes,bad,"gender is male, checking_status is 'no checking', duration is 36, credit_history is 'delayed previously', purpose is business, credit_amount is 7980, savings_status is 'no known savings', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is car, age is 27, other_payment_plans is none, housing is rent, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 36
 - credit_history : 'delayed previously'
 - purpose : business
 - credit_amount : 7980
 - savings_status : 'no known savings'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 27
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 36. The credit_history is 'delayed previously'. The purpose is business. The credit_amount is 7980. The savings_status is 'no known savings'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 27. The other_payment_plans is none. The housing is rent. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>36</td>
      <td>'delayed previously'</td>
      <td>business</td>
      <td>7980</td>
      <td>'no known savings'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>27</td>
      <td>none</td>
      <td>rent</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 36 & 'delayed previously' & business & 7980 & 'no known savings' & '<1' & 4 & none & 4 & car & 27 & none & rent & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 27, 'checking_status': ""'no checking'"", 'credit_amount': 7980, 'credit_history': ""'delayed previously'"", 'duration': 36, 'employment': ""'<1'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'business', 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 27-year-old male German Foreigner is applying for a loan of 7980 credits for 36 months for business purposes. He has no checking account and no known savings. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for less than one years. He has lived in a rented apartment for 4 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
599,male,'no checking',18,'existing paid','new car',6761,'no known savings','1<=X<4',2,none,4,car,68,none,rent,2,skilled,1,none,yes,bad,"gender is male, checking_status is 'no checking', duration is 18, credit_history is 'existing paid', purpose is 'new car', credit_amount is 6761, savings_status is 'no known savings', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is car, age is 68, other_payment_plans is none, housing is rent, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 6761
 - savings_status : 'no known savings'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 68
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 18. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 6761. The savings_status is 'no known savings'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 68. The other_payment_plans is none. The housing is rent. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>18</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>6761</td>
      <td>'no known savings'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>68</td>
      <td>none</td>
      <td>rent</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 18 & 'existing paid' & 'new car' & 6761 & 'no known savings' & '1<=X<4' & 2 & none & 4 & car & 68 & none & rent & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 68, 'checking_status': ""'no checking'"", 'credit_amount': 6761, 'credit_history': ""'existing paid'"", 'duration': 18, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 68-year-old male German Foreigner is applying for a loan of 6761 credits for 18 months for new car purposes. He has no checking account and no known savings. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 2 credits at this bank. He is employed for more than one year but less than four years. He has lived in a rented apartment for 4 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
600,female,'0<=X<200',18,'no credits/all paid','new car',2278,'100<=X<500','<1',3,none,3,car,28,none,own,2,skilled,1,none,yes,bad,"gender is female, checking_status is '0<=X<200', duration is 18, credit_history is 'no credits/all paid', purpose is 'new car', credit_amount is 2278, savings_status is '100<=X<500', employment is '<1', installment_commitment is 3, other_parties is none, residence_since is 3, property_magnitude is car, age is 28, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 18
 - credit_history : 'no credits/all paid'
 - purpose : 'new car'
 - credit_amount : 2278
 - savings_status : '100<=X<500'
 - employment : '<1'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 3
 - property_magnitude : car
 - age : 28
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 18. The credit_history is 'no credits/all paid'. The purpose is 'new car'. The credit_amount is 2278. The savings_status is '100<=X<500'. The employment is '<1'. The installment_commitment is 3. The other_parties is none. The residence_since is 3. The property_magnitude is car. The age is 28. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>18</td>
      <td>'no credits/all paid'</td>
      <td>'new car'</td>
      <td>2278</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'&lt;1'</td>
      <td>3</td>
      <td>none</td>
      <td>3</td>
      <td>car</td>
      <td>28</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 18 & 'no credits/all paid' & 'new car' & 2278 & '100<=X<500' & '<1' & 3 & none & 3 & car & 28 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 28, 'checking_status': ""'0<=X<200'"", 'credit_amount': 2278, 'credit_history': ""'no credits/all paid'"", 'duration': 18, 'employment': ""'<1'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 3, 'savings_status': ""'100<=X<500'""}",A 28-year-old female German Foreigner is applying for a loan of 2278 credits for 18 months for new car purposes. She has a checking account with less than 200 Deutsche Mark and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. She did not take any credits at this bank or has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. She has no other installment plans and 2 credits at this bank. She is employed for less than one years. She has lived in a self-owned house for 3 years.  She owns a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
601,male,'0<=X<200',9,'critical/other existing credit',radio/tv,1154,'<100','>=7',2,none,4,'real estate',37,none,own,3,'unskilled resident',1,none,yes,good,"gender is male, checking_status is '0<=X<200', duration is 9, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 1154, savings_status is '<100', employment is '>=7', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 37, other_payment_plans is none, housing is own, existing_credits is 3, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 9
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 1154
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 37
 - other_payment_plans : none
 - housing : own
 - existing_credits : 3
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 9. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 1154. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 37. The other_payment_plans is none. The housing is own. The existing_credits is 3. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>9</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>1154</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>37</td>
      <td>none</td>
      <td>own</td>
      <td>3</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 9 & 'critical/other existing credit' & radio/tv & 1154 & '<100' & '>=7' & 2 & none & 4 & 'real estate' & 37 & none & own & 3 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 37, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1154, 'credit_history': ""'critical/other existing credit'"", 'duration': 9, 'employment': ""'>=7'"", 'existing_credits': 3, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'<100'""}",A 37-year-old male German Foreigner is applying for a loan of 1154 credits for 9 months for radio or tv purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 3 credits at this bank. He is employed for more than seven years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 4 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
602,female,'no checking',24,'critical/other existing credit',education,1927,'no known savings','1<=X<4',3,none,2,car,33,none,own,2,skilled,1,yes,yes,good,"gender is female, checking_status is 'no checking', duration is 24, credit_history is 'critical/other existing credit', purpose is education, credit_amount is 1927, savings_status is 'no known savings', employment is '1<=X<4', installment_commitment is 3, other_parties is none, residence_since is 2, property_magnitude is car, age is 33, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'critical/other existing credit'
 - purpose : education
 - credit_amount : 1927
 - savings_status : 'no known savings'
 - employment : '1<=X<4'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 33
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 24. The credit_history is 'critical/other existing credit'. The purpose is education. The credit_amount is 1927. The savings_status is 'no known savings'. The employment is '1<=X<4'. The installment_commitment is 3. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 33. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'critical/other existing credit'</td>
      <td>education</td>
      <td>1927</td>
      <td>'no known savings'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>3</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>33</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 24 & 'critical/other existing credit' & education & 1927 & 'no known savings' & '1<=X<4' & 3 & none & 2 & car & 33 & none & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 33, 'checking_status': ""'no checking'"", 'credit_amount': 1927, 'credit_history': ""'critical/other existing credit'"", 'duration': 24, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'education', 'residence_since': 2, 'savings_status': ""'no known savings'""}",A 33-year-old female German Foreigner is applying for a loan of 1927 credits for 24 months for education purposes. She has no checking account and no known savings. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. She has no other installment plans and 2 credits at this bank. She is employed for more than one year but less than four years. She has lived in a self-owned house for 2 years.  She owns a car. She owns a telephone and has 1 person that she is liable to provide maintenance for.
603,female,'no checking',9,'existing paid',furniture/equipment,2301,'100<=X<500','<1',2,none,4,'life insurance',22,none,rent,1,skilled,1,none,yes,good,"gender is female, checking_status is 'no checking', duration is 9, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 2301, savings_status is '100<=X<500', employment is '<1', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 22, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 9
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 2301
 - savings_status : '100<=X<500'
 - employment : '<1'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 22
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 9. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 2301. The savings_status is '100<=X<500'. The employment is '<1'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 22. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>9</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>2301</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'&lt;1'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>22</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 9 & 'existing paid' & furniture/equipment & 2301 & '100<=X<500' & '<1' & 2 & none & 4 & 'life insurance' & 22 & none & rent & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 22, 'checking_status': ""'no checking'"", 'credit_amount': 2301, 'credit_history': ""'existing paid'"", 'duration': 9, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'100<=X<500'""}",A 22-year-old female German Foreigner is applying for a loan of 2301 credits for 9 months for furniture or equipment purposes. She has no checking account and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has no other installment plans and 1 credits at this bank. She is employed for less than one years. She has lived in a rented apartment for 4 years.  She owns life insurance property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
604,female,'no checking',12,'critical/other existing credit',business,1412,'<100','1<=X<4',4,guarantor,2,'real estate',29,none,own,2,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is female, checking_status is 'no checking', duration is 12, credit_history is 'critical/other existing credit', purpose is business, credit_amount is 1412, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is guarantor, residence_since is 2, property_magnitude is 'real estate', age is 29, other_payment_plans is none, housing is own, existing_credits is 2, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'critical/other existing credit'
 - purpose : business
 - credit_amount : 1412
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : guarantor
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 29
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 12. The credit_history is 'critical/other existing credit'. The purpose is business. The credit_amount is 1412. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is guarantor. The residence_since is 2. The property_magnitude is 'real estate'. The age is 29. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>12</td>
      <td>'critical/other existing credit'</td>
      <td>business</td>
      <td>1412</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>guarantor</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>29</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 12 & 'critical/other existing credit' & business & 1412 & '<100' & '1<=X<4' & 4 & guarantor & 2 & 'real estate' & 29 & none & own & 2 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 29, 'checking_status': ""'no checking'"", 'credit_amount': 1412, 'credit_history': ""'critical/other existing credit'"", 'duration': 12, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'guarantor', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': 'business', 'residence_since': 2, 'savings_status': ""'<100'""}",A 29-year-old female German Foreigner is applying for a loan of 1412 credits for 12 months for business purposes. She has no checking account and a savings acccount with less than 100 Deutsche Mark. She has critical account or has other credits existing but not at this bank. There is a guarantor associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 2 credits at this bank. She is employed for more than one year but less than four years and is recognized as a highly qualified employee or is self employed or has managerial position. She has lived in a self-owned house for 2 years.  She owns some real estate property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
605,male,'<0',48,'no credits/all paid','used car',4605,'<100','>=7',3,none,4,'no known property',24,none,'for free',2,skilled,2,none,yes,bad,"gender is male, checking_status is '<0', duration is 48, credit_history is 'no credits/all paid', purpose is 'used car', credit_amount is 4605, savings_status is '<100', employment is '>=7', installment_commitment is 3, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 24, other_payment_plans is none, housing is 'for free', existing_credits is 2, job is skilled, num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 48
 - credit_history : 'no credits/all paid'
 - purpose : 'used car'
 - credit_amount : 4605
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 24
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 2
 - job : skilled
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 48. The credit_history is 'no credits/all paid'. The purpose is 'used car'. The credit_amount is 4605. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 3. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 24. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 2. The job is skilled. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>48</td>
      <td>'no credits/all paid'</td>
      <td>'used car'</td>
      <td>4605</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>3</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>24</td>
      <td>none</td>
      <td>'for free'</td>
      <td>2</td>
      <td>skilled</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 48 & 'no credits/all paid' & 'used car' & 4605 & '<100' & '>=7' & 3 & none & 4 & 'no known property' & 24 & none & 'for free' & 2 & skilled & 2 & none & yes \\
\end{tabular}
","{'age': 24, 'checking_status': ""'<0'"", 'credit_amount': 4605, 'credit_history': ""'no credits/all paid'"", 'duration': 48, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'no known property'"", 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 24-year-old male German Foreigner is applying for a loan of 4605 credits for 48 months for used car purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He did not take any credits at this bank or has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years. He has lived in a free accommodation for 4 years.  He owns no known property. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
606,male,'no checking',18,'critical/other existing credit',radio/tv,1800,'<100','1<=X<4',4,none,2,car,24,none,own,2,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 18, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 1800, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is car, age is 24, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 18
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 1800
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 24
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 18. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 1800. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 24. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>18</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>1800</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>24</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 18 & 'critical/other existing credit' & radio/tv & 1800 & '<100' & '1<=X<4' & 4 & none & 2 & car & 24 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 24, 'checking_status': ""'no checking'"", 'credit_amount': 1800, 'credit_history': ""'critical/other existing credit'"", 'duration': 18, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 24-year-old male German Foreigner is applying for a loan of 1800 credits for 18 months for radio or tv purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 2 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
607,male,'no checking',6,'critical/other existing credit',radio/tv,1898,'no known savings','1<=X<4',1,none,2,'real estate',34,none,own,2,'unskilled resident',2,none,yes,good,"gender is male, checking_status is 'no checking', duration is 6, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 1898, savings_status is 'no known savings', employment is '1<=X<4', installment_commitment is 1, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 34, other_payment_plans is none, housing is own, existing_credits is 2, job is 'unskilled resident', num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 6
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 1898
 - savings_status : 'no known savings'
 - employment : '1<=X<4'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 34
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : 'unskilled resident'
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 6. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 1898. The savings_status is 'no known savings'. The employment is '1<=X<4'. The installment_commitment is 1. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 34. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is 'unskilled resident'. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>6</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>1898</td>
      <td>'no known savings'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>1</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>34</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>'unskilled resident'</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 6 & 'critical/other existing credit' & radio/tv & 1898 & 'no known savings' & '1<=X<4' & 1 & none & 2 & 'real estate' & 34 & none & own & 2 & 'unskilled resident' & 2 & none & yes \\
\end{tabular}
","{'age': 34, 'checking_status': ""'no checking'"", 'credit_amount': 1898, 'credit_history': ""'critical/other existing credit'"", 'duration': 6, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 1, 'job': ""'unskilled resident'"", 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'no known savings'""}",A 34-year-old male German Foreigner is applying for a loan of 1898 credits for 6 months for radio or tv purposes. He has no checking account and no known savings. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 2 credits at this bank. He is employed for more than one year but less than four years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 2 years.  He owns some real estate property. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
608,female,'0<=X<200',18,'existing paid',radio/tv,1113,'<100','1<=X<4',4,guarantor,4,'real estate',26,none,own,1,'unskilled resident',2,none,yes,good,"gender is female, checking_status is '0<=X<200', duration is 18, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1113, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is guarantor, residence_since is 4, property_magnitude is 'real estate', age is 26, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1113
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : guarantor
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 26
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 18. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1113. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is guarantor. The residence_since is 4. The property_magnitude is 'real estate'. The age is 26. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>18</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1113</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>guarantor</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>26</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 18 & 'existing paid' & radio/tv & 1113 & '<100' & '1<=X<4' & 4 & guarantor & 4 & 'real estate' & 26 & none & own & 1 & 'unskilled resident' & 2 & none & yes \\
\end{tabular}
","{'age': 26, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1113, 'credit_history': ""'existing paid'"", 'duration': 18, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 2, 'other_parties': 'guarantor', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'<100'""}",A 26-year-old female German Foreigner is applying for a loan of 1113 credits for 18 months for radio or tv purposes. She has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There is a guarantor associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for more than one year but less than four years and is recognized as an unskilled resident individual. She has lived in a self-owned house for 4 years.  She owns some real estate property. She does not own a telephone and has 2 people that she is liable to provide maintenance for.
609,male,'0<=X<200',45,'critical/other existing credit',radio/tv,4746,'<100','<1',4,none,2,'life insurance',25,none,own,2,'unskilled resident',1,none,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 45, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 4746, savings_status is '<100', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is 'life insurance', age is 25, other_payment_plans is none, housing is own, existing_credits is 2, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 45
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 4746
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 25
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 45. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 4746. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 25. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>45</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>4746</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>25</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 45 & 'critical/other existing credit' & radio/tv & 4746 & '<100' & '<1' & 4 & none & 2 & 'life insurance' & 25 & none & own & 2 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 25, 'checking_status': ""'0<=X<200'"", 'credit_amount': 4746, 'credit_history': ""'critical/other existing credit'"", 'duration': 45, 'employment': ""'<1'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 25-year-old male German Foreigner is applying for a loan of 4746 credits for 45 months for radio or tv purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for less than one years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 2 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
610,male,'0<=X<200',12,'existing paid',radio/tv,1534,'<100','<1',1,none,1,'real estate',23,none,rent,1,skilled,1,none,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 12, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1534, savings_status is '<100', employment is '<1', installment_commitment is 1, other_parties is none, residence_since is 1, property_magnitude is 'real estate', age is 23, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1534
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'real estate'
 - age : 23
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 12. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1534. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 1. The other_parties is none. The residence_since is 1. The property_magnitude is 'real estate'. The age is 23. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1534</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>1</td>
      <td>none</td>
      <td>1</td>
      <td>'real estate'</td>
      <td>23</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 12 & 'existing paid' & radio/tv & 1534 & '<100' & '<1' & 1 & none & 1 & 'real estate' & 23 & none & rent & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 23, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1534, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 1, 'savings_status': ""'<100'""}",A 23-year-old male German Foreigner is applying for a loan of 1534 credits for 12 months for radio or tv purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 1 credits at this bank. He is employed for less than one years. He has lived in a rented apartment for 1 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
611,male,'<0',15,'no credits/all paid','new car',950,'<100','>=7',4,none,3,car,33,none,rent,2,skilled,2,none,yes,bad,"gender is male, checking_status is '<0', duration is 15, credit_history is 'no credits/all paid', purpose is 'new car', credit_amount is 950, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 3, property_magnitude is car, age is 33, other_payment_plans is none, housing is rent, existing_credits is 2, job is skilled, num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 15
 - credit_history : 'no credits/all paid'
 - purpose : 'new car'
 - credit_amount : 950
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : car
 - age : 33
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 2
 - job : skilled
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 15. The credit_history is 'no credits/all paid'. The purpose is 'new car'. The credit_amount is 950. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 3. The property_magnitude is car. The age is 33. The other_payment_plans is none. The housing is rent. The existing_credits is 2. The job is skilled. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>15</td>
      <td>'no credits/all paid'</td>
      <td>'new car'</td>
      <td>950</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>car</td>
      <td>33</td>
      <td>none</td>
      <td>rent</td>
      <td>2</td>
      <td>skilled</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 15 & 'no credits/all paid' & 'new car' & 950 & '<100' & '>=7' & 4 & none & 3 & car & 33 & none & rent & 2 & skilled & 2 & none & yes \\
\end{tabular}
","{'age': 33, 'checking_status': ""'<0'"", 'credit_amount': 950, 'credit_history': ""'no credits/all paid'"", 'duration': 15, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 3, 'savings_status': ""'<100'""}",A 33-year-old male German Foreigner is applying for a loan of 950 credits for 15 months for new car purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He did not take any credits at this bank or has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years. He has lived in a rented apartment for 3 years.  He owns a car. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
612,male,'no checking',24,'critical/other existing credit','used car',2346,'<100','4<=X<7',4,none,3,car,35,none,own,2,skilled,1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'critical/other existing credit', purpose is 'used car', credit_amount is 2346, savings_status is '<100', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 3, property_magnitude is car, age is 35, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'critical/other existing credit'
 - purpose : 'used car'
 - credit_amount : 2346
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : car
 - age : 35
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 24. The credit_history is 'critical/other existing credit'. The purpose is 'used car'. The credit_amount is 2346. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is none. The residence_since is 3. The property_magnitude is car. The age is 35. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'critical/other existing credit'</td>
      <td>'used car'</td>
      <td>2346</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>car</td>
      <td>35</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 24 & 'critical/other existing credit' & 'used car' & 2346 & '<100' & '4<=X<7' & 4 & none & 3 & car & 35 & none & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 35, 'checking_status': ""'no checking'"", 'credit_amount': 2346, 'credit_history': ""'critical/other existing credit'"", 'duration': 24, 'employment': ""'4<=X<7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': ""'used car'"", 'residence_since': 3, 'savings_status': ""'<100'""}",A 35-year-old male German Foreigner is applying for a loan of 2346 credits for 24 months for used car purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 3 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
613,male,'<0',27,'critical/other existing credit',business,2442,'<100','>=7',4,none,4,car,43,stores,own,4,'high qualif/self emp/mgmt',2,yes,yes,good,"gender is male, checking_status is '<0', duration is 27, credit_history is 'critical/other existing credit', purpose is business, credit_amount is 2442, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is car, age is 43, other_payment_plans is stores, housing is own, existing_credits is 4, job is 'high qualif/self emp/mgmt', num_dependents is 2, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 27
 - credit_history : 'critical/other existing credit'
 - purpose : business
 - credit_amount : 2442
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 43
 - other_payment_plans : stores
 - housing : own
 - existing_credits : 4
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 2
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 27. The credit_history is 'critical/other existing credit'. The purpose is business. The credit_amount is 2442. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 43. The other_payment_plans is stores. The housing is own. The existing_credits is 4. The job is 'high qualif/self emp/mgmt'. The num_dependents is 2. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>27</td>
      <td>'critical/other existing credit'</td>
      <td>business</td>
      <td>2442</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>43</td>
      <td>stores</td>
      <td>own</td>
      <td>4</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>2</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 27 & 'critical/other existing credit' & business & 2442 & '<100' & '>=7' & 4 & none & 4 & car & 43 & stores & own & 4 & 'high qualif/self emp/mgmt' & 2 & yes & yes \\
\end{tabular}
","{'age': 43, 'checking_status': ""'<0'"", 'credit_amount': 2442, 'credit_history': ""'critical/other existing credit'"", 'duration': 27, 'employment': ""'>=7'"", 'existing_credits': 4, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'stores', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'business', 'residence_since': 4, 'savings_status': ""'<100'""}",A 43-year-old male German Foreigner is applying for a loan of 2442 credits for 27 months for business purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a store and 4 credits at this bank. He is employed for more than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 4 years.  He owns a car. He owns a telephone and has 2 people that he is liable to provide maintenance for.
614,male,'no checking',15,'critical/other existing credit',furniture/equipment,3343,'<100','1<=X<4',4,none,2,'no known property',28,none,'for free',1,skilled,1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 15, credit_history is 'critical/other existing credit', purpose is furniture/equipment, credit_amount is 3343, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is 'no known property', age is 28, other_payment_plans is none, housing is 'for free', existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 15
 - credit_history : 'critical/other existing credit'
 - purpose : furniture/equipment
 - credit_amount : 3343
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'no known property'
 - age : 28
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 15. The credit_history is 'critical/other existing credit'. The purpose is furniture/equipment. The credit_amount is 3343. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is 'no known property'. The age is 28. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>15</td>
      <td>'critical/other existing credit'</td>
      <td>furniture/equipment</td>
      <td>3343</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'no known property'</td>
      <td>28</td>
      <td>none</td>
      <td>'for free'</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 15 & 'critical/other existing credit' & furniture/equipment & 3343 & '<100' & '1<=X<4' & 4 & none & 2 & 'no known property' & 28 & none & 'for free' & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 28, 'checking_status': ""'no checking'"", 'credit_amount': 3343, 'credit_history': ""'critical/other existing credit'"", 'duration': 15, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': 'furniture/equipment', 'residence_since': 2, 'savings_status': ""'<100'""}",A 28-year-old male German Foreigner is applying for a loan of 3343 credits for 15 months for furniture or equipment purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a free accommodation for 2 years.  He owns no known property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
615,male,'no checking',24,'existing paid','new car',1249,'<100','<1',4,none,2,'real estate',28,none,own,1,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'existing paid', purpose is 'new car', credit_amount is 1249, savings_status is '<100', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 28, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 1249
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 28
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 24. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 1249. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 28. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>1249</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>28</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 24 & 'existing paid' & 'new car' & 1249 & '<100' & '<1' & 4 & none & 2 & 'real estate' & 28 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 28, 'checking_status': ""'no checking'"", 'credit_amount': 1249, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'<100'""}",A 28-year-old male German Foreigner is applying for a loan of 1249 credits for 24 months for new car purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for less than one years. He has lived in a self-owned house for 2 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
616,female,'<0',15,'existing paid',furniture/equipment,1845,'<100','<1',4,guarantor,1,'life insurance',46,none,rent,1,skilled,1,none,yes,good,"gender is female, checking_status is '<0', duration is 15, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 1845, savings_status is '<100', employment is '<1', installment_commitment is 4, other_parties is guarantor, residence_since is 1, property_magnitude is 'life insurance', age is 46, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 15
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 1845
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : guarantor
 - residence_since : 1
 - property_magnitude : 'life insurance'
 - age : 46
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 15. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 1845. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 4. The other_parties is guarantor. The residence_since is 1. The property_magnitude is 'life insurance'. The age is 46. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>15</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>1845</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>guarantor</td>
      <td>1</td>
      <td>'life insurance'</td>
      <td>46</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 15 & 'existing paid' & furniture/equipment & 1845 & '<100' & '<1' & 4 & guarantor & 1 & 'life insurance' & 46 & none & rent & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 46, 'checking_status': ""'<0'"", 'credit_amount': 1845, 'credit_history': ""'existing paid'"", 'duration': 15, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'guarantor', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 1, 'savings_status': ""'<100'""}",A 46-year-old female German Foreigner is applying for a loan of 1845 credits for 15 months for furniture or equipment purposes. She has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There is a guarantor associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for less than one years. She has lived in a rented apartment for 1 years.  She owns life insurance property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
617,female,'no checking',24,'existing paid','used car',2603,'>=1000','1<=X<4',2,none,4,car,28,none,rent,1,skilled,1,yes,yes,good,"gender is female, checking_status is 'no checking', duration is 24, credit_history is 'existing paid', purpose is 'used car', credit_amount is 2603, savings_status is '>=1000', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is car, age is 28, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : 'used car'
 - credit_amount : 2603
 - savings_status : '>=1000'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 28
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 24. The credit_history is 'existing paid'. The purpose is 'used car'. The credit_amount is 2603. The savings_status is '>=1000'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 28. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>'used car'</td>
      <td>2603</td>
      <td>'&gt;=1000'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>28</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 24 & 'existing paid' & 'used car' & 2603 & '>=1000' & '1<=X<4' & 2 & none & 4 & car & 28 & none & rent & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 28, 'checking_status': ""'no checking'"", 'credit_amount': 2603, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'>=1000'""}",A 28-year-old female German Foreigner is applying for a loan of 2603 credits for 24 months for used car purposes. She has no checking account and a savings with 1000 Deutsche Mark or more. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has no other installment plans and 1 credits at this bank. She is employed for more than one year but less than four years. She has lived in a rented apartment for 4 years.  She owns a car. She owns a telephone and has 1 person that she is liable to provide maintenance for.
618,male,'0<=X<200',54,'no credits/all paid',business,15945,'<100','<1',3,none,4,'no known property',58,none,rent,1,skilled,1,yes,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 54, credit_history is 'no credits/all paid', purpose is business, credit_amount is 15945, savings_status is '<100', employment is '<1', installment_commitment is 3, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 58, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 54
 - credit_history : 'no credits/all paid'
 - purpose : business
 - credit_amount : 15945
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 58
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 54. The credit_history is 'no credits/all paid'. The purpose is business. The credit_amount is 15945. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 3. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 58. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>54</td>
      <td>'no credits/all paid'</td>
      <td>business</td>
      <td>15945</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>3</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>58</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 54 & 'no credits/all paid' & business & 15945 & '<100' & '<1' & 3 & none & 4 & 'no known property' & 58 & none & rent & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 58, 'checking_status': ""'0<=X<200'"", 'credit_amount': 15945, 'credit_history': ""'no credits/all paid'"", 'duration': 54, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': 'business', 'residence_since': 4, 'savings_status': ""'<100'""}",A 58-year-old male German Foreigner is applying for a loan of 15945 credits for 54 months for business purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He did not take any credits at this bank or has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 1 credits at this bank. He is employed for less than one years. He has lived in a rented apartment for 4 years.  He owns no known property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
619,male,'0<=X<200',36,'existing paid','new car',12389,'no known savings','1<=X<4',1,none,4,'no known property',37,none,'for free',1,skilled,1,yes,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 36, credit_history is 'existing paid', purpose is 'new car', credit_amount is 12389, savings_status is 'no known savings', employment is '1<=X<4', installment_commitment is 1, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 37, other_payment_plans is none, housing is 'for free', existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 36
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 12389
 - savings_status : 'no known savings'
 - employment : '1<=X<4'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 37
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 36. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 12389. The savings_status is 'no known savings'. The employment is '1<=X<4'. The installment_commitment is 1. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 37. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>36</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>12389</td>
      <td>'no known savings'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>1</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>37</td>
      <td>none</td>
      <td>'for free'</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 36 & 'existing paid' & 'new car' & 12389 & 'no known savings' & '1<=X<4' & 1 & none & 4 & 'no known property' & 37 & none & 'for free' & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 37, 'checking_status': ""'0<=X<200'"", 'credit_amount': 12389, 'credit_history': ""'existing paid'"", 'duration': 36, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 37-year-old male German Foreigner is applying for a loan of 12389 credits for 36 months for new car purposes. He has a checking account with less than 200 Deutsche Mark and no known savings. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a free accommodation for 4 years.  He owns no known property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
620,female,'<0',24,'existing paid','new car',915,'no known savings','>=7',4,none,2,car,29,bank,own,1,skilled,1,none,yes,bad,"gender is female, checking_status is '<0', duration is 24, credit_history is 'existing paid', purpose is 'new car', credit_amount is 915, savings_status is 'no known savings', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is car, age is 29, other_payment_plans is bank, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 915
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 29
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 24. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 915. The savings_status is 'no known savings'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 29. The other_payment_plans is bank. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>915</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>29</td>
      <td>bank</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 24 & 'existing paid' & 'new car' & 915 & 'no known savings' & '>=7' & 4 & none & 2 & car & 29 & bank & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 29, 'checking_status': ""'<0'"", 'credit_amount': 915, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'no known savings'""}",A 29-year-old female German Foreigner is applying for a loan of 915 credits for 24 months for new car purposes. She has a checking account with 0 Deutsche Mark and no known savings. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has other installment plans with a bank and 1 credits at this bank. She is employed for more than seven years. She has lived in a self-owned house for 2 years.  She owns a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
621,male,'no checking',21,'existing paid',radio/tv,3160,'no known savings','>=7',4,none,3,'life insurance',41,none,own,1,skilled,1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 21, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 3160, savings_status is 'no known savings', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 3, property_magnitude is 'life insurance', age is 41, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 21
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 3160
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'life insurance'
 - age : 41
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 21. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 3160. The savings_status is 'no known savings'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 3. The property_magnitude is 'life insurance'. The age is 41. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>21</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>3160</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>'life insurance'</td>
      <td>41</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 21 & 'existing paid' & radio/tv & 3160 & 'no known savings' & '>=7' & 4 & none & 3 & 'life insurance' & 41 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 41, 'checking_status': ""'no checking'"", 'credit_amount': 3160, 'credit_history': ""'existing paid'"", 'duration': 21, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': 'radio/tv', 'residence_since': 3, 'savings_status': ""'no known savings'""}",A 41-year-old male German Foreigner is applying for a loan of 3160 credits for 21 months for radio or tv purposes. He has no checking account and no known savings. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 3 years.  He owns life insurance property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
622,male,'0<=X<200',9,'existing paid',radio/tv,1082,'<100','>=7',4,none,4,car,27,none,own,2,'unskilled resident',1,none,yes,good,"gender is male, checking_status is '0<=X<200', duration is 9, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1082, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is car, age is 27, other_payment_plans is none, housing is own, existing_credits is 2, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 9
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1082
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 27
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 9. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1082. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 27. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>9</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1082</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>27</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 9 & 'existing paid' & radio/tv & 1082 & '<100' & '>=7' & 4 & none & 4 & car & 27 & none & own & 2 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 27, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1082, 'credit_history': ""'existing paid'"", 'duration': 9, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'<100'""}",A 27-year-old male German Foreigner is applying for a loan of 1082 credits for 9 months for radio or tv purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 4 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
623,male,'<0',15,'critical/other existing credit',furniture/equipment,975,'<100','1<=X<4',2,none,3,'life insurance',25,none,own,2,skilled,1,none,yes,good,"gender is male, checking_status is '<0', duration is 15, credit_history is 'critical/other existing credit', purpose is furniture/equipment, credit_amount is 975, savings_status is '<100', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 3, property_magnitude is 'life insurance', age is 25, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 15
 - credit_history : 'critical/other existing credit'
 - purpose : furniture/equipment
 - credit_amount : 975
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'life insurance'
 - age : 25
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 15. The credit_history is 'critical/other existing credit'. The purpose is furniture/equipment. The credit_amount is 975. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 3. The property_magnitude is 'life insurance'. The age is 25. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>15</td>
      <td>'critical/other existing credit'</td>
      <td>furniture/equipment</td>
      <td>975</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>3</td>
      <td>'life insurance'</td>
      <td>25</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 15 & 'critical/other existing credit' & furniture/equipment & 975 & '<100' & '1<=X<4' & 2 & none & 3 & 'life insurance' & 25 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 25, 'checking_status': ""'<0'"", 'credit_amount': 975, 'credit_history': ""'critical/other existing credit'"", 'duration': 15, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 3, 'savings_status': ""'<100'""}",A 25-year-old male German Foreigner is applying for a loan of 975 credits for 15 months for furniture or equipment purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 2 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 3 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
624,male,'<0',36,'existing paid',furniture/equipment,3620,'<100','1<=X<4',1,guarantor,2,'life insurance',37,none,own,1,skilled,2,none,yes,good,"gender is male, checking_status is '<0', duration is 36, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 3620, savings_status is '<100', employment is '1<=X<4', installment_commitment is 1, other_parties is guarantor, residence_since is 2, property_magnitude is 'life insurance', age is 37, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 36
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 3620
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 1
 - other_parties : guarantor
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 37
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 36. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 3620. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 1. The other_parties is guarantor. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 37. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>36</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>3620</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>1</td>
      <td>guarantor</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>37</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 36 & 'existing paid' & furniture/equipment & 3620 & '<100' & '1<=X<4' & 1 & guarantor & 2 & 'life insurance' & 37 & none & own & 1 & skilled & 2 & none & yes \\
\end{tabular}
","{'age': 37, 'checking_status': ""'<0'"", 'credit_amount': 3620, 'credit_history': ""'existing paid'"", 'duration': 36, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'guarantor', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 2, 'savings_status': ""'<100'""}",A 37-year-old male German Foreigner is applying for a loan of 3620 credits for 36 months for furniture or equipment purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There is a guarantor associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 2 years.  He owns life insurance property. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
625,male,'0<=X<200',12,'critical/other existing credit','new car',1995,'100<=X<500','<1',4,none,1,car,27,none,own,1,skilled,1,none,yes,good,"gender is male, checking_status is '0<=X<200', duration is 12, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 1995, savings_status is '100<=X<500', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 1, property_magnitude is car, age is 27, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 12
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 1995
 - savings_status : '100<=X<500'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 1
 - property_magnitude : car
 - age : 27
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 12. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 1995. The savings_status is '100<=X<500'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 1. The property_magnitude is car. The age is 27. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>12</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>1995</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>1</td>
      <td>car</td>
      <td>27</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 12 & 'critical/other existing credit' & 'new car' & 1995 & '100<=X<500' & '<1' & 4 & none & 1 & car & 27 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 27, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1995, 'credit_history': ""'critical/other existing credit'"", 'duration': 12, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 1, 'savings_status': ""'100<=X<500'""}",A 27-year-old male German Foreigner is applying for a loan of 1995 credits for 12 months for new car purposes. He has a checking account with less than 200 Deutsche Mark and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for less than one years. He has lived in a self-owned house for 1 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
626,male,'no checking',36,'critical/other existing credit','new car',6614,'<100','>=7',4,none,4,car,34,none,own,2,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 36, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 6614, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is car, age is 34, other_payment_plans is none, housing is own, existing_credits is 2, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 36
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 6614
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 34
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 36. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 6614. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 34. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>36</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>6614</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>34</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 36 & 'critical/other existing credit' & 'new car' & 6614 & '<100' & '>=7' & 4 & none & 4 & car & 34 & none & own & 2 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 34, 'checking_status': ""'no checking'"", 'credit_amount': 6614, 'credit_history': ""'critical/other existing credit'"", 'duration': 36, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 34-year-old male German Foreigner is applying for a loan of 6614 credits for 36 months for new car purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 4 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
627,male,'no checking',12,'critical/other existing credit',furniture/equipment,1935,'<100','>=7',4,none,4,'real estate',43,none,own,3,skilled,1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 12, credit_history is 'critical/other existing credit', purpose is furniture/equipment, credit_amount is 1935, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 43, other_payment_plans is none, housing is own, existing_credits is 3, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'critical/other existing credit'
 - purpose : furniture/equipment
 - credit_amount : 1935
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 43
 - other_payment_plans : none
 - housing : own
 - existing_credits : 3
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 12. The credit_history is 'critical/other existing credit'. The purpose is furniture/equipment. The credit_amount is 1935. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 43. The other_payment_plans is none. The housing is own. The existing_credits is 3. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>12</td>
      <td>'critical/other existing credit'</td>
      <td>furniture/equipment</td>
      <td>1935</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>43</td>
      <td>none</td>
      <td>own</td>
      <td>3</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 12 & 'critical/other existing credit' & furniture/equipment & 1935 & '<100' & '>=7' & 4 & none & 4 & 'real estate' & 43 & none & own & 3 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 43, 'checking_status': ""'no checking'"", 'credit_amount': 1935, 'credit_history': ""'critical/other existing credit'"", 'duration': 12, 'employment': ""'>=7'"", 'existing_credits': 3, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'<100'""}",A 43-year-old male German Foreigner is applying for a loan of 1935 credits for 12 months for furniture or equipment purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 3 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 4 years.  He owns some real estate property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
628,male,'<0',36,'existing paid','new car',3249,'<100','4<=X<7',2,none,4,'no known property',39,bank,'for free',1,'high qualif/self emp/mgmt',2,yes,yes,good,"gender is male, checking_status is '<0', duration is 36, credit_history is 'existing paid', purpose is 'new car', credit_amount is 3249, savings_status is '<100', employment is '4<=X<7', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 39, other_payment_plans is bank, housing is 'for free', existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 2, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 36
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 3249
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 39
 - other_payment_plans : bank
 - housing : 'for free'
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 2
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 36. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 3249. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 39. The other_payment_plans is bank. The housing is 'for free'. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 2. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>36</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>3249</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>39</td>
      <td>bank</td>
      <td>'for free'</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>2</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 36 & 'existing paid' & 'new car' & 3249 & '<100' & '4<=X<7' & 2 & none & 4 & 'no known property' & 39 & bank & 'for free' & 1 & 'high qualif/self emp/mgmt' & 2 & yes & yes \\
\end{tabular}
","{'age': 39, 'checking_status': ""'<0'"", 'credit_amount': 3249, 'credit_history': ""'existing paid'"", 'duration': 36, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 2, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 39-year-old male German Foreigner is applying for a loan of 3249 credits for 36 months for new car purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has other installment plans with a bank and 1 credits at this bank. He is employed for more than four years but less than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a free accommodation for 4 years.  He owns no known property. He owns a telephone and has 2 people that he is liable to provide maintenance for.
629,male,'no checking',24,'existing paid',furniture/equipment,3062,'500<=X<1000','>=7',4,none,3,'no known property',32,none,rent,1,skilled,1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 3062, savings_status is '500<=X<1000', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 3, property_magnitude is 'no known property', age is 32, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 3062
 - savings_status : '500<=X<1000'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'no known property'
 - age : 32
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 24. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 3062. The savings_status is '500<=X<1000'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 3. The property_magnitude is 'no known property'. The age is 32. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>3062</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>'no known property'</td>
      <td>32</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 24 & 'existing paid' & furniture/equipment & 3062 & '500<=X<1000' & '>=7' & 4 & none & 3 & 'no known property' & 32 & none & rent & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 32, 'checking_status': ""'no checking'"", 'credit_amount': 3062, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': 'furniture/equipment', 'residence_since': 3, 'savings_status': ""'500<=X<1000'""}",A 32-year-old male German Foreigner is applying for a loan of 3062 credits for 24 months for furniture or equipment purposes. He has no checking account and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years. He has lived in a rented apartment for 3 years.  He owns no known property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
630,male,'<0',36,'critical/other existing credit',furniture/equipment,2348,'<100','1<=X<4',3,none,2,'life insurance',46,none,own,2,skilled,1,yes,yes,good,"gender is male, checking_status is '<0', duration is 36, credit_history is 'critical/other existing credit', purpose is furniture/equipment, credit_amount is 2348, savings_status is '<100', employment is '1<=X<4', installment_commitment is 3, other_parties is none, residence_since is 2, property_magnitude is 'life insurance', age is 46, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 36
 - credit_history : 'critical/other existing credit'
 - purpose : furniture/equipment
 - credit_amount : 2348
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 46
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 36. The credit_history is 'critical/other existing credit'. The purpose is furniture/equipment. The credit_amount is 2348. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 3. The other_parties is none. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 46. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>36</td>
      <td>'critical/other existing credit'</td>
      <td>furniture/equipment</td>
      <td>2348</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>3</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>46</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 36 & 'critical/other existing credit' & furniture/equipment & 2348 & '<100' & '1<=X<4' & 3 & none & 2 & 'life insurance' & 46 & none & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 46, 'checking_status': ""'<0'"", 'credit_amount': 2348, 'credit_history': ""'critical/other existing credit'"", 'duration': 36, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 2, 'savings_status': ""'<100'""}",A 46-year-old male German Foreigner is applying for a loan of 2348 credits for 36 months for furniture or equipment purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 2 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 2 years.  He owns life insurance property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
631,male,'<0',30,'existing paid',furniture/equipment,3108,'<100','<1',2,none,4,'life insurance',31,none,own,1,'unskilled resident',1,none,yes,bad,"gender is male, checking_status is '<0', duration is 30, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 3108, savings_status is '<100', employment is '<1', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 31, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 30
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 3108
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 31
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 30. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 3108. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 31. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>30</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>3108</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>31</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 30 & 'existing paid' & furniture/equipment & 3108 & '<100' & '<1' & 2 & none & 4 & 'life insurance' & 31 & none & own & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 31, 'checking_status': ""'<0'"", 'credit_amount': 3108, 'credit_history': ""'existing paid'"", 'duration': 30, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'<100'""}",A 31-year-old male German Foreigner is applying for a loan of 3108 credits for 30 months for furniture or equipment purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for less than one years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 4 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
632,male,'<0',9,'existing paid',radio/tv,1364,'<100','4<=X<7',3,none,4,'real estate',59,none,own,1,skilled,1,none,yes,good,"gender is male, checking_status is '<0', duration is 9, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1364, savings_status is '<100', employment is '4<=X<7', installment_commitment is 3, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 59, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 9
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1364
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 59
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 9. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1364. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 3. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 59. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>9</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1364</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>3</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>59</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 9 & 'existing paid' & radio/tv & 1364 & '<100' & '4<=X<7' & 3 & none & 4 & 'real estate' & 59 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 59, 'checking_status': ""'<0'"", 'credit_amount': 1364, 'credit_history': ""'existing paid'"", 'duration': 9, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'<100'""}",A 59-year-old male German Foreigner is applying for a loan of 1364 credits for 9 months for radio or tv purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 1 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 4 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
633,male,'>=200',36,'existing paid',radio/tv,3913,'<100','1<=X<4',2,none,2,'real estate',23,none,own,1,skilled,1,yes,yes,good,"gender is male, checking_status is '>=200', duration is 36, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 3913, savings_status is '<100', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 23, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '>=200'
 - duration : 36
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 3913
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 23
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '>=200'. The duration is 36. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 3913. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 23. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&gt;=200'</td>
      <td>36</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>3913</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>23</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '>=200' & 36 & 'existing paid' & radio/tv & 3913 & '<100' & '1<=X<4' & 2 & none & 2 & 'real estate' & 23 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 23, 'checking_status': ""'>=200'"", 'credit_amount': 3913, 'credit_history': ""'existing paid'"", 'duration': 36, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 23-year-old male German Foreigner is applying for a loan of 3913 credits for 36 months for radio or tv purposes. He has a checking account with 200 Deutsche Mark or more and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 2 years.  He owns some real estate property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
634,male,'<0',24,'delayed previously','new car',4870,'<100','1<=X<4',3,none,4,'no known property',53,none,'for free',2,skilled,2,none,yes,bad,"gender is male, checking_status is '<0', duration is 24, credit_history is 'delayed previously', purpose is 'new car', credit_amount is 4870, savings_status is '<100', employment is '1<=X<4', installment_commitment is 3, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 53, other_payment_plans is none, housing is 'for free', existing_credits is 2, job is skilled, num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 24
 - credit_history : 'delayed previously'
 - purpose : 'new car'
 - credit_amount : 4870
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 53
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 2
 - job : skilled
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 24. The credit_history is 'delayed previously'. The purpose is 'new car'. The credit_amount is 4870. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 3. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 53. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 2. The job is skilled. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>24</td>
      <td>'delayed previously'</td>
      <td>'new car'</td>
      <td>4870</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>3</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>53</td>
      <td>none</td>
      <td>'for free'</td>
      <td>2</td>
      <td>skilled</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 24 & 'delayed previously' & 'new car' & 4870 & '<100' & '1<=X<4' & 3 & none & 4 & 'no known property' & 53 & none & 'for free' & 2 & skilled & 2 & none & yes \\
\end{tabular}
","{'age': 53, 'checking_status': ""'<0'"", 'credit_amount': 4870, 'credit_history': ""'delayed previously'"", 'duration': 24, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'no known property'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 53-year-old male German Foreigner is applying for a loan of 4870 credits for 24 months for new car purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 2 credits at this bank. He is employed for more than one year but less than four years. He has lived in a free accommodation for 4 years.  He owns no known property. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
635,male,'0<=X<200',12,'critical/other existing credit',furniture/equipment,3617,'<100','>=7',1,none,4,car,28,none,rent,3,skilled,1,yes,yes,good,"gender is male, checking_status is '0<=X<200', duration is 12, credit_history is 'critical/other existing credit', purpose is furniture/equipment, credit_amount is 3617, savings_status is '<100', employment is '>=7', installment_commitment is 1, other_parties is none, residence_since is 4, property_magnitude is car, age is 28, other_payment_plans is none, housing is rent, existing_credits is 3, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 12
 - credit_history : 'critical/other existing credit'
 - purpose : furniture/equipment
 - credit_amount : 3617
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 28
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 3
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 12. The credit_history is 'critical/other existing credit'. The purpose is furniture/equipment. The credit_amount is 3617. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 1. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 28. The other_payment_plans is none. The housing is rent. The existing_credits is 3. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>12</td>
      <td>'critical/other existing credit'</td>
      <td>furniture/equipment</td>
      <td>3617</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>1</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>28</td>
      <td>none</td>
      <td>rent</td>
      <td>3</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 12 & 'critical/other existing credit' & furniture/equipment & 3617 & '<100' & '>=7' & 1 & none & 4 & car & 28 & none & rent & 3 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 28, 'checking_status': ""'0<=X<200'"", 'credit_amount': 3617, 'credit_history': ""'critical/other existing credit'"", 'duration': 12, 'employment': ""'>=7'"", 'existing_credits': 3, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'<100'""}",A 28-year-old male German Foreigner is applying for a loan of 3617 credits for 12 months for furniture or equipment purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 3 credits at this bank. He is employed for more than seven years. He has lived in a rented apartment for 4 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
636,male,'no checking',15,'existing paid',education,4623,'100<=X<500','1<=X<4',3,none,2,'life insurance',40,none,own,1,'high qualif/self emp/mgmt',1,yes,yes,bad,"gender is male, checking_status is 'no checking', duration is 15, credit_history is 'existing paid', purpose is education, credit_amount is 4623, savings_status is '100<=X<500', employment is '1<=X<4', installment_commitment is 3, other_parties is none, residence_since is 2, property_magnitude is 'life insurance', age is 40, other_payment_plans is none, housing is own, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 15
 - credit_history : 'existing paid'
 - purpose : education
 - credit_amount : 4623
 - savings_status : '100<=X<500'
 - employment : '1<=X<4'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 40
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 15. The credit_history is 'existing paid'. The purpose is education. The credit_amount is 4623. The savings_status is '100<=X<500'. The employment is '1<=X<4'. The installment_commitment is 3. The other_parties is none. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 40. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>15</td>
      <td>'existing paid'</td>
      <td>education</td>
      <td>4623</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>3</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>40</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 15 & 'existing paid' & education & 4623 & '100<=X<500' & '1<=X<4' & 3 & none & 2 & 'life insurance' & 40 & none & own & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 40, 'checking_status': ""'no checking'"", 'credit_amount': 4623, 'credit_history': ""'existing paid'"", 'duration': 15, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': 'education', 'residence_since': 2, 'savings_status': ""'100<=X<500'""}",A 40-year-old male German Foreigner is applying for a loan of 4623 credits for 15 months for education purposes. He has no checking account and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 2 years.  He owns life insurance property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
637,male,'<0',12,'delayed previously','new car',1344,'<100','1<=X<4',4,none,2,'real estate',43,none,own,2,'unskilled resident',2,none,yes,good,"gender is male, checking_status is '<0', duration is 12, credit_history is 'delayed previously', purpose is 'new car', credit_amount is 1344, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 43, other_payment_plans is none, housing is own, existing_credits is 2, job is 'unskilled resident', num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 12
 - credit_history : 'delayed previously'
 - purpose : 'new car'
 - credit_amount : 1344
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 43
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : 'unskilled resident'
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 12. The credit_history is 'delayed previously'. The purpose is 'new car'. The credit_amount is 1344. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 43. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is 'unskilled resident'. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>12</td>
      <td>'delayed previously'</td>
      <td>'new car'</td>
      <td>1344</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>43</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>'unskilled resident'</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 12 & 'delayed previously' & 'new car' & 1344 & '<100' & '1<=X<4' & 4 & none & 2 & 'real estate' & 43 & none & own & 2 & 'unskilled resident' & 2 & none & yes \\
\end{tabular}
","{'age': 43, 'checking_status': ""'<0'"", 'credit_amount': 1344, 'credit_history': ""'delayed previously'"", 'duration': 12, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'<100'""}",A 43-year-old male German Foreigner is applying for a loan of 1344 credits for 12 months for new car purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than one year but less than four years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 2 years.  He owns some real estate property. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
638,female,'<0',21,'existing paid',radio/tv,3357,'>=1000','<1',4,none,2,car,29,bank,own,1,skilled,1,none,yes,good,"gender is female, checking_status is '<0', duration is 21, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 3357, savings_status is '>=1000', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is car, age is 29, other_payment_plans is bank, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 21
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 3357
 - savings_status : '>=1000'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 29
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 21. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 3357. The savings_status is '>=1000'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 29. The other_payment_plans is bank. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>21</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>3357</td>
      <td>'&gt;=1000'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>29</td>
      <td>bank</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 21 & 'existing paid' & radio/tv & 3357 & '>=1000' & '<1' & 4 & none & 2 & car & 29 & bank & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 29, 'checking_status': ""'<0'"", 'credit_amount': 3357, 'credit_history': ""'existing paid'"", 'duration': 21, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'>=1000'""}",A 29-year-old female German Foreigner is applying for a loan of 3357 credits for 21 months for radio or tv purposes. She has a checking account with 0 Deutsche Mark and a savings with 1000 Deutsche Mark or more. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has other installment plans with a bank and 1 credits at this bank. She is employed for less than one years. She has lived in a self-owned house for 2 years.  She owns a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
639,male,'no checking',6,'critical/other existing credit','new car',6761,'<100','4<=X<7',1,none,3,'no known property',45,none,own,2,'high qualif/self emp/mgmt',2,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 6, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 6761, savings_status is '<100', employment is '4<=X<7', installment_commitment is 1, other_parties is none, residence_since is 3, property_magnitude is 'no known property', age is 45, other_payment_plans is none, housing is own, existing_credits is 2, job is 'high qualif/self emp/mgmt', num_dependents is 2, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 6
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 6761
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'no known property'
 - age : 45
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 2
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 6. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 6761. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 1. The other_parties is none. The residence_since is 3. The property_magnitude is 'no known property'. The age is 45. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is 'high qualif/self emp/mgmt'. The num_dependents is 2. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>6</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>6761</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>1</td>
      <td>none</td>
      <td>3</td>
      <td>'no known property'</td>
      <td>45</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>2</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 6 & 'critical/other existing credit' & 'new car' & 6761 & '<100' & '4<=X<7' & 1 & none & 3 & 'no known property' & 45 & none & own & 2 & 'high qualif/self emp/mgmt' & 2 & yes & yes \\
\end{tabular}
","{'age': 45, 'checking_status': ""'no checking'"", 'credit_amount': 6761, 'credit_history': ""'critical/other existing credit'"", 'duration': 6, 'employment': ""'4<=X<7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 1, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': ""'new car'"", 'residence_since': 3, 'savings_status': ""'<100'""}",A 45-year-old male German Foreigner is applying for a loan of 6761 credits for 6 months for new car purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 2 credits at this bank. He is employed for more than four years but less than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 3 years.  He owns no known property. He owns a telephone and has 2 people that he is liable to provide maintenance for.
640,female,'no checking',24,'critical/other existing credit','new car',2022,'<100','1<=X<4',4,none,4,car,37,none,own,1,skilled,1,yes,yes,good,"gender is female, checking_status is 'no checking', duration is 24, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 2022, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is car, age is 37, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 2022
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 37
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 24. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 2022. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 37. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>2022</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>37</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 24 & 'critical/other existing credit' & 'new car' & 2022 & '<100' & '1<=X<4' & 4 & none & 4 & car & 37 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 37, 'checking_status': ""'no checking'"", 'credit_amount': 2022, 'credit_history': ""'critical/other existing credit'"", 'duration': 24, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 37-year-old female German Foreigner is applying for a loan of 2022 credits for 24 months for new car purposes. She has no checking account and a savings acccount with less than 100 Deutsche Mark. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for more than one year but less than four years. She has lived in a self-owned house for 4 years.  She owns a car. She owns a telephone and has 1 person that she is liable to provide maintenance for.
641,female,'no checking',6,'critical/other existing credit','new car',250,'>=1000','1<=X<4',2,none,2,'real estate',41,bank,own,2,'unskilled resident',1,none,yes,good,"gender is female, checking_status is 'no checking', duration is 6, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 250, savings_status is '>=1000', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 41, other_payment_plans is bank, housing is own, existing_credits is 2, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 6
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 250
 - savings_status : '>=1000'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 41
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 2
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 6. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 250. The savings_status is '>=1000'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 41. The other_payment_plans is bank. The housing is own. The existing_credits is 2. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>6</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>250</td>
      <td>'&gt;=1000'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>41</td>
      <td>bank</td>
      <td>own</td>
      <td>2</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 6 & 'critical/other existing credit' & 'new car' & 250 & '>=1000' & '1<=X<4' & 2 & none & 2 & 'real estate' & 41 & bank & own & 2 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 41, 'checking_status': ""'no checking'"", 'credit_amount': 250, 'credit_history': ""'critical/other existing credit'"", 'duration': 6, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 2, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'>=1000'""}",A 41-year-old female German Foreigner is applying for a loan of 250 credits for 6 months for new car purposes. She has no checking account and a savings with 1000 Deutsche Mark or more. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has other installment plans with a bank and 2 credits at this bank. She is employed for more than one year but less than four years and is recognized as an unskilled resident individual. She has lived in a self-owned house for 2 years.  She owns some real estate property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
642,male,'no checking',24,'critical/other existing credit',radio/tv,5103,'<100','<1',3,none,3,'no known property',47,none,'for free',3,skilled,1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 5103, savings_status is '<100', employment is '<1', installment_commitment is 3, other_parties is none, residence_since is 3, property_magnitude is 'no known property', age is 47, other_payment_plans is none, housing is 'for free', existing_credits is 3, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 5103
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'no known property'
 - age : 47
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 3
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 24. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 5103. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 3. The other_parties is none. The residence_since is 3. The property_magnitude is 'no known property'. The age is 47. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 3. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>5103</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>3</td>
      <td>none</td>
      <td>3</td>
      <td>'no known property'</td>
      <td>47</td>
      <td>none</td>
      <td>'for free'</td>
      <td>3</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 24 & 'critical/other existing credit' & radio/tv & 5103 & '<100' & '<1' & 3 & none & 3 & 'no known property' & 47 & none & 'for free' & 3 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 47, 'checking_status': ""'no checking'"", 'credit_amount': 5103, 'credit_history': ""'critical/other existing credit'"", 'duration': 24, 'employment': ""'<1'"", 'existing_credits': 3, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': 'radio/tv', 'residence_since': 3, 'savings_status': ""'<100'""}",A 47-year-old male German Foreigner is applying for a loan of 5103 credits for 24 months for radio or tv purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 3 credits at this bank. He is employed for less than one years. He has lived in a free accommodation for 3 years.  He owns no known property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
643,male,'0<=X<200',36,'critical/other existing credit',radio/tv,2337,'<100','>=7',4,none,4,'real estate',36,none,own,1,skilled,1,none,yes,good,"gender is male, checking_status is '0<=X<200', duration is 36, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 2337, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 36, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 36
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 2337
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 36
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 36. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 2337. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 36. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>36</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>2337</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>36</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 36 & 'critical/other existing credit' & radio/tv & 2337 & '<100' & '>=7' & 4 & none & 4 & 'real estate' & 36 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 36, 'checking_status': ""'0<=X<200'"", 'credit_amount': 2337, 'credit_history': ""'critical/other existing credit'"", 'duration': 36, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'<100'""}",A 36-year-old male German Foreigner is applying for a loan of 2337 credits for 36 months for radio or tv purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 4 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
644,female,'0<=X<200',12,'existing paid','new car',7472,'no known savings',unemployed,1,none,2,'real estate',24,none,rent,1,'unemp/unskilled non res',1,none,yes,good,"gender is female, checking_status is '0<=X<200', duration is 12, credit_history is 'existing paid', purpose is 'new car', credit_amount is 7472, savings_status is 'no known savings', employment is unemployed, installment_commitment is 1, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 24, other_payment_plans is none, housing is rent, existing_credits is 1, job is 'unemp/unskilled non res', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 7472
 - savings_status : 'no known savings'
 - employment : unemployed
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 24
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : 'unemp/unskilled non res'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 12. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 7472. The savings_status is 'no known savings'. The employment is unemployed. The installment_commitment is 1. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 24. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is 'unemp/unskilled non res'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>7472</td>
      <td>'no known savings'</td>
      <td>unemployed</td>
      <td>1</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>24</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>'unemp/unskilled non res'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 12 & 'existing paid' & 'new car' & 7472 & 'no known savings' & unemployed & 1 & none & 2 & 'real estate' & 24 & none & rent & 1 & 'unemp/unskilled non res' & 1 & none & yes \\
\end{tabular}
","{'age': 24, 'checking_status': ""'0<=X<200'"", 'credit_amount': 7472, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': 'unemployed', 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 1, 'job': ""'unemp/unskilled non res'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'no known savings'""}",A 24-year-old female German Foreigner is applying for a loan of 7472 credits for 12 months for new car purposes. She has a checking account with less than 200 Deutsche Mark and no known savings. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. She has no other installment plans and 1 credits at this bank. She is unemployed and is recognized as an unemployed or unskilled non-resident individual. She has lived in a rented apartment for 2 years.  She owns some real estate property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
645,female,'<0',18,'existing paid',radio/tv,1882,'<100','1<=X<4',4,none,4,car,25,bank,rent,2,skilled,1,none,yes,bad,"gender is female, checking_status is '<0', duration is 18, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1882, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is car, age is 25, other_payment_plans is bank, housing is rent, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1882
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 25
 - other_payment_plans : bank
 - housing : rent
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 18. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1882. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 25. The other_payment_plans is bank. The housing is rent. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>18</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1882</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>25</td>
      <td>bank</td>
      <td>rent</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 18 & 'existing paid' & radio/tv & 1882 & '<100' & '1<=X<4' & 4 & none & 4 & car & 25 & bank & rent & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 25, 'checking_status': ""'<0'"", 'credit_amount': 1882, 'credit_history': ""'existing paid'"", 'duration': 18, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'<100'""}",A 25-year-old female German Foreigner is applying for a loan of 1882 credits for 18 months for radio or tv purposes. She has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has other installment plans with a bank and 2 credits at this bank. She is employed for more than one year but less than four years. She has lived in a rented apartment for 4 years.  She owns a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
646,female,'<0',15,'existing paid',business,806,'<100','1<=X<4',4,none,4,'life insurance',22,none,own,1,'unskilled resident',1,none,yes,good,"gender is female, checking_status is '<0', duration is 15, credit_history is 'existing paid', purpose is business, credit_amount is 806, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 22, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 15
 - credit_history : 'existing paid'
 - purpose : business
 - credit_amount : 806
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 22
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 15. The credit_history is 'existing paid'. The purpose is business. The credit_amount is 806. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 22. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>15</td>
      <td>'existing paid'</td>
      <td>business</td>
      <td>806</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>22</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 15 & 'existing paid' & business & 806 & '<100' & '1<=X<4' & 4 & none & 4 & 'life insurance' & 22 & none & own & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 22, 'checking_status': ""'<0'"", 'credit_amount': 806, 'credit_history': ""'existing paid'"", 'duration': 15, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'business', 'residence_since': 4, 'savings_status': ""'<100'""}",A 22-year-old female German Foreigner is applying for a loan of 806 credits for 15 months for business purposes. She has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for more than one year but less than four years and is recognized as an unskilled resident individual. She has lived in a self-owned house for 4 years.  She owns life insurance property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
647,male,'no checking',24,'critical/other existing credit','used car',2197,'no known savings','4<=X<7',4,none,4,car,43,none,own,2,skilled,2,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'critical/other existing credit', purpose is 'used car', credit_amount is 2197, savings_status is 'no known savings', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is car, age is 43, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 2, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'critical/other existing credit'
 - purpose : 'used car'
 - credit_amount : 2197
 - savings_status : 'no known savings'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 43
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 2
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 24. The credit_history is 'critical/other existing credit'. The purpose is 'used car'. The credit_amount is 2197. The savings_status is 'no known savings'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 43. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 2. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'critical/other existing credit'</td>
      <td>'used car'</td>
      <td>2197</td>
      <td>'no known savings'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>43</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>2</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 24 & 'critical/other existing credit' & 'used car' & 2197 & 'no known savings' & '4<=X<7' & 4 & none & 4 & car & 43 & none & own & 2 & skilled & 2 & yes & yes \\
\end{tabular}
","{'age': 43, 'checking_status': ""'no checking'"", 'credit_amount': 2197, 'credit_history': ""'critical/other existing credit'"", 'duration': 24, 'employment': ""'4<=X<7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 43-year-old male German Foreigner is applying for a loan of 2197 credits for 24 months for used car purposes. He has no checking account and no known savings. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 4 years.  He owns a car. He owns a telephone and has 2 people that he is liable to provide maintenance for.
648,male,'>=200',9,'existing paid',radio/tv,1126,'100<=X<500','>=7',2,none,4,'real estate',49,none,own,1,skilled,1,none,yes,good,"gender is male, checking_status is '>=200', duration is 9, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1126, savings_status is '100<=X<500', employment is '>=7', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 49, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '>=200'
 - duration : 9
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1126
 - savings_status : '100<=X<500'
 - employment : '>=7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 49
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '>=200'. The duration is 9. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1126. The savings_status is '100<=X<500'. The employment is '>=7'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 49. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&gt;=200'</td>
      <td>9</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1126</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'&gt;=7'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>49</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '>=200' & 9 & 'existing paid' & radio/tv & 1126 & '100<=X<500' & '>=7' & 2 & none & 4 & 'real estate' & 49 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 49, 'checking_status': ""'>=200'"", 'credit_amount': 1126, 'credit_history': ""'existing paid'"", 'duration': 9, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'100<=X<500'""}",A 49-year-old male German Foreigner is applying for a loan of 1126 credits for 9 months for radio or tv purposes. He has a checking account with 200 Deutsche Mark or more and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 4 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
649,female,'<0',6,'existing paid','used car',1352,'500<=X<1000',unemployed,1,none,2,'life insurance',23,none,rent,1,'unemp/unskilled non res',1,yes,yes,good,"gender is female, checking_status is '<0', duration is 6, credit_history is 'existing paid', purpose is 'used car', credit_amount is 1352, savings_status is '500<=X<1000', employment is unemployed, installment_commitment is 1, other_parties is none, residence_since is 2, property_magnitude is 'life insurance', age is 23, other_payment_plans is none, housing is rent, existing_credits is 1, job is 'unemp/unskilled non res', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 6
 - credit_history : 'existing paid'
 - purpose : 'used car'
 - credit_amount : 1352
 - savings_status : '500<=X<1000'
 - employment : unemployed
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 23
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : 'unemp/unskilled non res'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 6. The credit_history is 'existing paid'. The purpose is 'used car'. The credit_amount is 1352. The savings_status is '500<=X<1000'. The employment is unemployed. The installment_commitment is 1. The other_parties is none. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 23. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is 'unemp/unskilled non res'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>6</td>
      <td>'existing paid'</td>
      <td>'used car'</td>
      <td>1352</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>unemployed</td>
      <td>1</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>23</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>'unemp/unskilled non res'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 6 & 'existing paid' & 'used car' & 1352 & '500<=X<1000' & unemployed & 1 & none & 2 & 'life insurance' & 23 & none & rent & 1 & 'unemp/unskilled non res' & 1 & yes & yes \\
\end{tabular}
","{'age': 23, 'checking_status': ""'<0'"", 'credit_amount': 1352, 'credit_history': ""'existing paid'"", 'duration': 6, 'employment': 'unemployed', 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 1, 'job': ""'unemp/unskilled non res'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': ""'used car'"", 'residence_since': 2, 'savings_status': ""'500<=X<1000'""}",A 23-year-old female German Foreigner is applying for a loan of 1352 credits for 6 months for used car purposes. She has a checking account with 0 Deutsche Mark and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. She has no other installment plans and 1 credits at this bank. She is unemployed and is recognized as an unemployed or unskilled non-resident individual. She has lived in a rented apartment for 2 years.  She owns life insurance property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
650,male,'0<=X<200',18,'existing paid','new car',5866,'100<=X<500','1<=X<4',2,none,2,car,30,none,own,2,skilled,1,yes,yes,good,"gender is male, checking_status is '0<=X<200', duration is 18, credit_history is 'existing paid', purpose is 'new car', credit_amount is 5866, savings_status is '100<=X<500', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 2, property_magnitude is car, age is 30, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 5866
 - savings_status : '100<=X<500'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 30
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 18. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 5866. The savings_status is '100<=X<500'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 30. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>18</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>5866</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>30</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 18 & 'existing paid' & 'new car' & 5866 & '100<=X<500' & '1<=X<4' & 2 & none & 2 & car & 30 & none & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 30, 'checking_status': ""'0<=X<200'"", 'credit_amount': 5866, 'credit_history': ""'existing paid'"", 'duration': 18, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'100<=X<500'""}",A 30-year-old male German Foreigner is applying for a loan of 5866 credits for 18 months for new car purposes. He has a checking account with less than 200 Deutsche Mark and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 2 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 2 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
651,female,'0<=X<200',18,'existing paid',repairs,3872,'<100',unemployed,2,none,4,car,67,none,own,1,skilled,1,yes,yes,good,"gender is female, checking_status is '0<=X<200', duration is 18, credit_history is 'existing paid', purpose is repairs, credit_amount is 3872, savings_status is '<100', employment is unemployed, installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is car, age is 67, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : repairs
 - credit_amount : 3872
 - savings_status : '<100'
 - employment : unemployed
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 67
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 18. The credit_history is 'existing paid'. The purpose is repairs. The credit_amount is 3872. The savings_status is '<100'. The employment is unemployed. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 67. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>18</td>
      <td>'existing paid'</td>
      <td>repairs</td>
      <td>3872</td>
      <td>'&lt;100'</td>
      <td>unemployed</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>67</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 18 & 'existing paid' & repairs & 3872 & '<100' & unemployed & 2 & none & 4 & car & 67 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 67, 'checking_status': ""'0<=X<200'"", 'credit_amount': 3872, 'credit_history': ""'existing paid'"", 'duration': 18, 'employment': 'unemployed', 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'repairs', 'residence_since': 4, 'savings_status': ""'<100'""}",A 67-year-old female German Foreigner is applying for a loan of 3872 credits for 18 months for repairs purposes. She has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has no other installment plans and 1 credits at this bank. She is unemployed. She has lived in a self-owned house for 4 years.  She owns a car. She owns a telephone and has 1 person that she is liable to provide maintenance for.
652,male,'no checking',24,'critical/other existing credit',radio/tv,2611,'<100','>=7',4,'co applicant',3,'real estate',46,none,own,2,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 2611, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is 'co applicant', residence_since is 3, property_magnitude is 'real estate', age is 46, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 2611
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : 'co applicant'
 - residence_since : 3
 - property_magnitude : 'real estate'
 - age : 46
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 24. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 2611. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is 'co applicant'. The residence_since is 3. The property_magnitude is 'real estate'. The age is 46. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>2611</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>'co applicant'</td>
      <td>3</td>
      <td>'real estate'</td>
      <td>46</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 24 & 'critical/other existing credit' & radio/tv & 2611 & '<100' & '>=7' & 4 & 'co applicant' & 3 & 'real estate' & 46 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 46, 'checking_status': ""'no checking'"", 'credit_amount': 2611, 'credit_history': ""'critical/other existing credit'"", 'duration': 24, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': ""'co applicant'"", 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 3, 'savings_status': ""'<100'""}",A 46-year-old male German Foreigner is applying for a loan of 2611 credits for 24 months for radio or tv purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There co-applicant associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 3 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
653,male,'no checking',9,'critical/other existing credit',education,936,'500<=X<1000','>=7',4,none,2,car,52,none,own,2,skilled,1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 9, credit_history is 'critical/other existing credit', purpose is education, credit_amount is 936, savings_status is '500<=X<1000', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is car, age is 52, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 9
 - credit_history : 'critical/other existing credit'
 - purpose : education
 - credit_amount : 936
 - savings_status : '500<=X<1000'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 52
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 9. The credit_history is 'critical/other existing credit'. The purpose is education. The credit_amount is 936. The savings_status is '500<=X<1000'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 52. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>9</td>
      <td>'critical/other existing credit'</td>
      <td>education</td>
      <td>936</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>52</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 9 & 'critical/other existing credit' & education & 936 & '500<=X<1000' & '>=7' & 4 & none & 2 & car & 52 & none & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 52, 'checking_status': ""'no checking'"", 'credit_amount': 936, 'credit_history': ""'critical/other existing credit'"", 'duration': 9, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'education', 'residence_since': 2, 'savings_status': ""'500<=X<1000'""}",A 52-year-old male German Foreigner is applying for a loan of 936 credits for 9 months for education purposes. He has no checking account and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 2 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
654,female,'no checking',60,'existing paid',radio/tv,10144,'100<=X<500','4<=X<7',2,none,4,'real estate',21,none,own,1,skilled,1,yes,yes,good,"gender is female, checking_status is 'no checking', duration is 60, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 10144, savings_status is '100<=X<500', employment is '4<=X<7', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 21, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 60
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 10144
 - savings_status : '100<=X<500'
 - employment : '4<=X<7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 21
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 60. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 10144. The savings_status is '100<=X<500'. The employment is '4<=X<7'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 21. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>60</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>10144</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>21</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 60 & 'existing paid' & radio/tv & 10144 & '100<=X<500' & '4<=X<7' & 2 & none & 4 & 'real estate' & 21 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 21, 'checking_status': ""'no checking'"", 'credit_amount': 10144, 'credit_history': ""'existing paid'"", 'duration': 60, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'100<=X<500'""}",A 21-year-old female German Foreigner is applying for a loan of 10144 credits for 60 months for radio or tv purposes. She has no checking account and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has no other installment plans and 1 credits at this bank. She is employed for more than four years but less than seven years. She has lived in a self-owned house for 4 years.  She owns some real estate property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
655,female,'>=200',12,'all paid',radio/tv,409,'>=1000','1<=X<4',3,none,3,'real estate',42,none,rent,2,skilled,1,none,yes,good,"gender is female, checking_status is '>=200', duration is 12, credit_history is 'all paid', purpose is radio/tv, credit_amount is 409, savings_status is '>=1000', employment is '1<=X<4', installment_commitment is 3, other_parties is none, residence_since is 3, property_magnitude is 'real estate', age is 42, other_payment_plans is none, housing is rent, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '>=200'
 - duration : 12
 - credit_history : 'all paid'
 - purpose : radio/tv
 - credit_amount : 409
 - savings_status : '>=1000'
 - employment : '1<=X<4'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'real estate'
 - age : 42
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '>=200'. The duration is 12. The credit_history is 'all paid'. The purpose is radio/tv. The credit_amount is 409. The savings_status is '>=1000'. The employment is '1<=X<4'. The installment_commitment is 3. The other_parties is none. The residence_since is 3. The property_magnitude is 'real estate'. The age is 42. The other_payment_plans is none. The housing is rent. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&gt;=200'</td>
      <td>12</td>
      <td>'all paid'</td>
      <td>radio/tv</td>
      <td>409</td>
      <td>'&gt;=1000'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>3</td>
      <td>none</td>
      <td>3</td>
      <td>'real estate'</td>
      <td>42</td>
      <td>none</td>
      <td>rent</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '>=200' & 12 & 'all paid' & radio/tv & 409 & '>=1000' & '1<=X<4' & 3 & none & 3 & 'real estate' & 42 & none & rent & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 42, 'checking_status': ""'>=200'"", 'credit_amount': 409, 'credit_history': ""'all paid'"", 'duration': 12, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 3, 'savings_status': ""'>=1000'""}",A 42-year-old female German Foreigner is applying for a loan of 409 credits for 12 months for radio or tv purposes. She has a checking account with 200 Deutsche Mark or more and a savings with 1000 Deutsche Mark or more. She has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. She has no other installment plans and 2 credits at this bank. She is employed for more than one year but less than four years. She has lived in a rented apartment for 3 years.  She owns some real estate property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
656,male,'no checking',24,'existing paid','used car',7814,'<100','4<=X<7',3,none,3,car,38,none,own,1,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'existing paid', purpose is 'used car', credit_amount is 7814, savings_status is '<100', employment is '4<=X<7', installment_commitment is 3, other_parties is none, residence_since is 3, property_magnitude is car, age is 38, other_payment_plans is none, housing is own, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : 'used car'
 - credit_amount : 7814
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 3
 - property_magnitude : car
 - age : 38
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 24. The credit_history is 'existing paid'. The purpose is 'used car'. The credit_amount is 7814. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 3. The other_parties is none. The residence_since is 3. The property_magnitude is car. The age is 38. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>'used car'</td>
      <td>7814</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>3</td>
      <td>none</td>
      <td>3</td>
      <td>car</td>
      <td>38</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 24 & 'existing paid' & 'used car' & 7814 & '<100' & '4<=X<7' & 3 & none & 3 & car & 38 & none & own & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 38, 'checking_status': ""'no checking'"", 'credit_amount': 7814, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': ""'used car'"", 'residence_since': 3, 'savings_status': ""'<100'""}",A 38-year-old male German Foreigner is applying for a loan of 7814 credits for 24 months for used car purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 1 credits at this bank. He is employed for more than four years but less than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 3 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
657,male,'>=200',36,'existing paid',radio/tv,4210,'<100','1<=X<4',4,none,2,car,26,none,own,1,skilled,1,none,yes,bad,"gender is male, checking_status is '>=200', duration is 36, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 4210, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is car, age is 26, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '>=200'
 - duration : 36
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 4210
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 26
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '>=200'. The duration is 36. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 4210. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 26. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&gt;=200'</td>
      <td>36</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>4210</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>26</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '>=200' & 36 & 'existing paid' & radio/tv & 4210 & '<100' & '1<=X<4' & 4 & none & 2 & car & 26 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 26, 'checking_status': ""'>=200'"", 'credit_amount': 4210, 'credit_history': ""'existing paid'"", 'duration': 36, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 26-year-old male German Foreigner is applying for a loan of 4210 credits for 36 months for radio or tv purposes. He has a checking account with 200 Deutsche Mark or more and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 2 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
658,male,'no checking',6,'existing paid','new car',3518,'<100','1<=X<4',2,guarantor,3,'life insurance',26,none,rent,1,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 6, credit_history is 'existing paid', purpose is 'new car', credit_amount is 3518, savings_status is '<100', employment is '1<=X<4', installment_commitment is 2, other_parties is guarantor, residence_since is 3, property_magnitude is 'life insurance', age is 26, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 6
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 3518
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : guarantor
 - residence_since : 3
 - property_magnitude : 'life insurance'
 - age : 26
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 6. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 3518. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is guarantor. The residence_since is 3. The property_magnitude is 'life insurance'. The age is 26. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>6</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>3518</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>guarantor</td>
      <td>3</td>
      <td>'life insurance'</td>
      <td>26</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 6 & 'existing paid' & 'new car' & 3518 & '<100' & '1<=X<4' & 2 & guarantor & 3 & 'life insurance' & 26 & none & rent & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 26, 'checking_status': ""'no checking'"", 'credit_amount': 3518, 'credit_history': ""'existing paid'"", 'duration': 6, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'guarantor', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': ""'new car'"", 'residence_since': 3, 'savings_status': ""'<100'""}",A 26-year-old male German Foreigner is applying for a loan of 3518 credits for 6 months for new car purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There is a guarantor associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a rented apartment for 3 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
659,male,'no checking',21,'critical/other existing credit','used car',3275,'<100','>=7',1,none,4,car,36,none,own,1,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 21, credit_history is 'critical/other existing credit', purpose is 'used car', credit_amount is 3275, savings_status is '<100', employment is '>=7', installment_commitment is 1, other_parties is none, residence_since is 4, property_magnitude is car, age is 36, other_payment_plans is none, housing is own, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 21
 - credit_history : 'critical/other existing credit'
 - purpose : 'used car'
 - credit_amount : 3275
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 36
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 21. The credit_history is 'critical/other existing credit'. The purpose is 'used car'. The credit_amount is 3275. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 1. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 36. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>21</td>
      <td>'critical/other existing credit'</td>
      <td>'used car'</td>
      <td>3275</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>1</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>36</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 21 & 'critical/other existing credit' & 'used car' & 3275 & '<100' & '>=7' & 1 & none & 4 & car & 36 & none & own & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 36, 'checking_status': ""'no checking'"", 'credit_amount': 3275, 'credit_history': ""'critical/other existing credit'"", 'duration': 21, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 1, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 36-year-old male German Foreigner is applying for a loan of 3275 credits for 21 months for used car purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 4 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
660,male,'0<=X<200',36,'existing paid','new car',14318,'<100','>=7',4,none,2,'no known property',57,none,'for free',1,'high qualif/self emp/mgmt',1,yes,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 36, credit_history is 'existing paid', purpose is 'new car', credit_amount is 14318, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is 'no known property', age is 57, other_payment_plans is none, housing is 'for free', existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 36
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 14318
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'no known property'
 - age : 57
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 36. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 14318. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is 'no known property'. The age is 57. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>36</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>14318</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'no known property'</td>
      <td>57</td>
      <td>none</td>
      <td>'for free'</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 36 & 'existing paid' & 'new car' & 14318 & '<100' & '>=7' & 4 & none & 2 & 'no known property' & 57 & none & 'for free' & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 57, 'checking_status': ""'0<=X<200'"", 'credit_amount': 14318, 'credit_history': ""'existing paid'"", 'duration': 36, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'<100'""}",A 57-year-old male German Foreigner is applying for a loan of 14318 credits for 36 months for new car purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a free accommodation for 2 years.  He owns no known property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
661,female,'0<=X<200',12,'existing paid',radio/tv,1092,'<100','1<=X<4',4,guarantor,4,'real estate',49,none,own,2,skilled,1,yes,yes,good,"gender is female, checking_status is '0<=X<200', duration is 12, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1092, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is guarantor, residence_since is 4, property_magnitude is 'real estate', age is 49, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1092
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : guarantor
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 49
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 12. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1092. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is guarantor. The residence_since is 4. The property_magnitude is 'real estate'. The age is 49. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1092</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>guarantor</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>49</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 12 & 'existing paid' & radio/tv & 1092 & '<100' & '1<=X<4' & 4 & guarantor & 4 & 'real estate' & 49 & none & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 49, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1092, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'guarantor', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'<100'""}",A 49-year-old female German Foreigner is applying for a loan of 1092 credits for 12 months for radio or tv purposes. She has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There is a guarantor associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 2 credits at this bank. She is employed for more than one year but less than four years. She has lived in a self-owned house for 4 years.  She owns some real estate property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
662,female,'no checking',21,'existing paid','new car',2782,'500<=X<1000','4<=X<7',1,none,2,car,31,bank,own,1,'high qualif/self emp/mgmt',1,none,yes,good,"gender is female, checking_status is 'no checking', duration is 21, credit_history is 'existing paid', purpose is 'new car', credit_amount is 2782, savings_status is '500<=X<1000', employment is '4<=X<7', installment_commitment is 1, other_parties is none, residence_since is 2, property_magnitude is car, age is 31, other_payment_plans is bank, housing is own, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 21
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 2782
 - savings_status : '500<=X<1000'
 - employment : '4<=X<7'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 31
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 21. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 2782. The savings_status is '500<=X<1000'. The employment is '4<=X<7'. The installment_commitment is 1. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 31. The other_payment_plans is bank. The housing is own. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>21</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>2782</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>1</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>31</td>
      <td>bank</td>
      <td>own</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 21 & 'existing paid' & 'new car' & 2782 & '500<=X<1000' & '4<=X<7' & 1 & none & 2 & car & 31 & bank & own & 1 & 'high qualif/self emp/mgmt' & 1 & none & yes \\
\end{tabular}
","{'age': 31, 'checking_status': ""'no checking'"", 'credit_amount': 2782, 'credit_history': ""'existing paid'"", 'duration': 21, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 1, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'500<=X<1000'""}",A 31-year-old female German Foreigner is applying for a loan of 2782 credits for 21 months for new car purposes. She has no checking account and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. She has other installment plans with a bank and 1 credits at this bank. She is employed for more than four years but less than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. She has lived in a self-owned house for 2 years.  She owns a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
663,male,'no checking',21,'delayed previously',business,2580,'500<=X<1000','<1',4,none,2,'real estate',41,bank,own,1,'unskilled resident',2,none,yes,bad,"gender is male, checking_status is 'no checking', duration is 21, credit_history is 'delayed previously', purpose is business, credit_amount is 2580, savings_status is '500<=X<1000', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 41, other_payment_plans is bank, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 21
 - credit_history : 'delayed previously'
 - purpose : business
 - credit_amount : 2580
 - savings_status : '500<=X<1000'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 41
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 21. The credit_history is 'delayed previously'. The purpose is business. The credit_amount is 2580. The savings_status is '500<=X<1000'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 41. The other_payment_plans is bank. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>21</td>
      <td>'delayed previously'</td>
      <td>business</td>
      <td>2580</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>41</td>
      <td>bank</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 21 & 'delayed previously' & business & 2580 & '500<=X<1000' & '<1' & 4 & none & 2 & 'real estate' & 41 & bank & own & 1 & 'unskilled resident' & 2 & none & yes \\
\end{tabular}
","{'age': 41, 'checking_status': ""'no checking'"", 'credit_amount': 2580, 'credit_history': ""'delayed previously'"", 'duration': 21, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'business', 'residence_since': 2, 'savings_status': ""'500<=X<1000'""}",A 41-year-old male German Foreigner is applying for a loan of 2580 credits for 21 months for business purposes. He has no checking account and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a bank and 1 credits at this bank. He is employed for less than one years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 2 years.  He owns some real estate property. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
664,female,'0<=X<200',12,'existing paid',furniture/equipment,983,'>=1000','<1',1,none,4,'real estate',19,none,rent,1,'unskilled resident',1,none,yes,good,"gender is female, checking_status is '0<=X<200', duration is 12, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 983, savings_status is '>=1000', employment is '<1', installment_commitment is 1, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 19, other_payment_plans is none, housing is rent, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 983
 - savings_status : '>=1000'
 - employment : '<1'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 19
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 12. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 983. The savings_status is '>=1000'. The employment is '<1'. The installment_commitment is 1. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 19. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>983</td>
      <td>'&gt;=1000'</td>
      <td>'&lt;1'</td>
      <td>1</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>19</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 12 & 'existing paid' & furniture/equipment & 983 & '>=1000' & '<1' & 1 & none & 4 & 'real estate' & 19 & none & rent & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 19, 'checking_status': ""'0<=X<200'"", 'credit_amount': 983, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 1, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'>=1000'""}",A 19-year-old female German Foreigner is applying for a loan of 983 credits for 12 months for furniture or equipment purposes. She has a checking account with less than 200 Deutsche Mark and a savings with 1000 Deutsche Mark or more. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. She has no other installment plans and 1 credits at this bank. She is employed for less than one years and is recognized as an unskilled resident individual. She has lived in a rented apartment for 4 years.  She owns some real estate property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
665,female,'no checking',21,'existing paid',business,1572,'>=1000','>=7',4,none,4,'real estate',36,bank,own,1,'unskilled resident',1,none,yes,good,"gender is female, checking_status is 'no checking', duration is 21, credit_history is 'existing paid', purpose is business, credit_amount is 1572, savings_status is '>=1000', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 36, other_payment_plans is bank, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 21
 - credit_history : 'existing paid'
 - purpose : business
 - credit_amount : 1572
 - savings_status : '>=1000'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 36
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 21. The credit_history is 'existing paid'. The purpose is business. The credit_amount is 1572. The savings_status is '>=1000'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 36. The other_payment_plans is bank. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>21</td>
      <td>'existing paid'</td>
      <td>business</td>
      <td>1572</td>
      <td>'&gt;=1000'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>36</td>
      <td>bank</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 21 & 'existing paid' & business & 1572 & '>=1000' & '>=7' & 4 & none & 4 & 'real estate' & 36 & bank & own & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 36, 'checking_status': ""'no checking'"", 'credit_amount': 1572, 'credit_history': ""'existing paid'"", 'duration': 21, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'business', 'residence_since': 4, 'savings_status': ""'>=1000'""}",A 36-year-old female German Foreigner is applying for a loan of 1572 credits for 21 months for business purposes. She has no checking account and a savings with 1000 Deutsche Mark or more. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has other installment plans with a bank and 1 credits at this bank. She is employed for more than seven years and is recognized as an unskilled resident individual. She has lived in a self-owned house for 4 years.  She owns some real estate property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
666,male,'0<=X<200',18,'existing paid',radio/tv,1301,'<100','>=7',4,guarantor,2,'real estate',32,none,own,1,'unskilled resident',1,none,yes,good,"gender is male, checking_status is '0<=X<200', duration is 18, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1301, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is guarantor, residence_since is 2, property_magnitude is 'real estate', age is 32, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1301
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : guarantor
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 32
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 18. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1301. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is guarantor. The residence_since is 2. The property_magnitude is 'real estate'. The age is 32. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>18</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1301</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>guarantor</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>32</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 18 & 'existing paid' & radio/tv & 1301 & '<100' & '>=7' & 4 & guarantor & 2 & 'real estate' & 32 & none & own & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 32, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1301, 'credit_history': ""'existing paid'"", 'duration': 18, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'guarantor', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 32-year-old male German Foreigner is applying for a loan of 1301 credits for 18 months for radio or tv purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There is a guarantor associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 2 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
667,male,'0<=X<200',15,'critical/other existing credit',radio/tv,2728,'no known savings','4<=X<7',4,guarantor,2,'real estate',35,bank,own,3,skilled,1,yes,yes,good,"gender is male, checking_status is '0<=X<200', duration is 15, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 2728, savings_status is 'no known savings', employment is '4<=X<7', installment_commitment is 4, other_parties is guarantor, residence_since is 2, property_magnitude is 'real estate', age is 35, other_payment_plans is bank, housing is own, existing_credits is 3, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 15
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 2728
 - savings_status : 'no known savings'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : guarantor
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 35
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 3
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 15. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 2728. The savings_status is 'no known savings'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is guarantor. The residence_since is 2. The property_magnitude is 'real estate'. The age is 35. The other_payment_plans is bank. The housing is own. The existing_credits is 3. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>15</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>2728</td>
      <td>'no known savings'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>guarantor</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>35</td>
      <td>bank</td>
      <td>own</td>
      <td>3</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 15 & 'critical/other existing credit' & radio/tv & 2728 & 'no known savings' & '4<=X<7' & 4 & guarantor & 2 & 'real estate' & 35 & bank & own & 3 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 35, 'checking_status': ""'0<=X<200'"", 'credit_amount': 2728, 'credit_history': ""'critical/other existing credit'"", 'duration': 15, 'employment': ""'4<=X<7'"", 'existing_credits': 3, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'guarantor', 'other_payment_plans': 'bank', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'no known savings'""}",A 35-year-old male German Foreigner is applying for a loan of 2728 credits for 15 months for radio or tv purposes. He has a checking account with less than 200 Deutsche Mark and no known savings. He has critical account or has other credits existing but not at this bank. There is a guarantor associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a bank and 3 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 2 years.  He owns some real estate property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
668,male,'0<=X<200',36,'no credits/all paid',business,1953,'<100','>=7',4,none,4,'no known property',61,none,'for free',1,'high qualif/self emp/mgmt',1,yes,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 36, credit_history is 'no credits/all paid', purpose is business, credit_amount is 1953, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 61, other_payment_plans is none, housing is 'for free', existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 36
 - credit_history : 'no credits/all paid'
 - purpose : business
 - credit_amount : 1953
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 61
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 36. The credit_history is 'no credits/all paid'. The purpose is business. The credit_amount is 1953. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 61. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>36</td>
      <td>'no credits/all paid'</td>
      <td>business</td>
      <td>1953</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>61</td>
      <td>none</td>
      <td>'for free'</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 36 & 'no credits/all paid' & business & 1953 & '<100' & '>=7' & 4 & none & 4 & 'no known property' & 61 & none & 'for free' & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 61, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1953, 'credit_history': ""'no credits/all paid'"", 'duration': 36, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': 'business', 'residence_since': 4, 'savings_status': ""'<100'""}",A 61-year-old male German Foreigner is applying for a loan of 1953 credits for 36 months for business purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He did not take any credits at this bank or has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a free accommodation for 4 years.  He owns no known property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
669,female,'<0',6,'existing paid',education,448,'<100','<1',4,none,4,'life insurance',23,none,own,1,skilled,1,none,yes,bad,"gender is female, checking_status is '<0', duration is 6, credit_history is 'existing paid', purpose is education, credit_amount is 448, savings_status is '<100', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 23, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 6
 - credit_history : 'existing paid'
 - purpose : education
 - credit_amount : 448
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 23
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 6. The credit_history is 'existing paid'. The purpose is education. The credit_amount is 448. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 23. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>6</td>
      <td>'existing paid'</td>
      <td>education</td>
      <td>448</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>23</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 6 & 'existing paid' & education & 448 & '<100' & '<1' & 4 & none & 4 & 'life insurance' & 23 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 23, 'checking_status': ""'<0'"", 'credit_amount': 448, 'credit_history': ""'existing paid'"", 'duration': 6, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'education', 'residence_since': 4, 'savings_status': ""'<100'""}",A 23-year-old female German Foreigner is applying for a loan of 448 credits for 6 months for education purposes. She has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for less than one years. She has lived in a self-owned house for 4 years.  She owns life insurance property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
670,female,'no checking',12,'existing paid','new car',1386,'500<=X<1000','1<=X<4',2,none,2,'life insurance',26,none,own,1,skilled,1,none,yes,bad,"gender is female, checking_status is 'no checking', duration is 12, credit_history is 'existing paid', purpose is 'new car', credit_amount is 1386, savings_status is '500<=X<1000', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 2, property_magnitude is 'life insurance', age is 26, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 1386
 - savings_status : '500<=X<1000'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 26
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 12. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 1386. The savings_status is '500<=X<1000'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 26. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>1386</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>26</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 12 & 'existing paid' & 'new car' & 1386 & '500<=X<1000' & '1<=X<4' & 2 & none & 2 & 'life insurance' & 26 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 26, 'checking_status': ""'no checking'"", 'credit_amount': 1386, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'500<=X<1000'""}",A 26-year-old female German Foreigner is applying for a loan of 1386 credits for 12 months for new car purposes. She has no checking account and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has no other installment plans and 1 credits at this bank. She is employed for more than one year but less than four years. She has lived in a self-owned house for 2 years.  She owns life insurance property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
671,male,'0<=X<200',12,'critical/other existing credit','used car',1860,'<100',unemployed,4,none,2,car,34,none,own,2,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is male, checking_status is '0<=X<200', duration is 12, credit_history is 'critical/other existing credit', purpose is 'used car', credit_amount is 1860, savings_status is '<100', employment is unemployed, installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is car, age is 34, other_payment_plans is none, housing is own, existing_credits is 2, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 12
 - credit_history : 'critical/other existing credit'
 - purpose : 'used car'
 - credit_amount : 1860
 - savings_status : '<100'
 - employment : unemployed
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 34
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 12. The credit_history is 'critical/other existing credit'. The purpose is 'used car'. The credit_amount is 1860. The savings_status is '<100'. The employment is unemployed. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 34. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>12</td>
      <td>'critical/other existing credit'</td>
      <td>'used car'</td>
      <td>1860</td>
      <td>'&lt;100'</td>
      <td>unemployed</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>34</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 12 & 'critical/other existing credit' & 'used car' & 1860 & '<100' & unemployed & 4 & none & 2 & car & 34 & none & own & 2 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 34, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1860, 'credit_history': ""'critical/other existing credit'"", 'duration': 12, 'employment': 'unemployed', 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': ""'used car'"", 'residence_since': 2, 'savings_status': ""'<100'""}",A 34-year-old male German Foreigner is applying for a loan of 1860 credits for 12 months for used car purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is unemployed and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 2 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
672,female,'0<=X<200',6,'existing paid',radio/tv,753,'<100','1<=X<4',2,guarantor,3,'real estate',64,none,own,1,skilled,1,none,yes,good,"gender is female, checking_status is '0<=X<200', duration is 6, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 753, savings_status is '<100', employment is '1<=X<4', installment_commitment is 2, other_parties is guarantor, residence_since is 3, property_magnitude is 'real estate', age is 64, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 6
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 753
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : guarantor
 - residence_since : 3
 - property_magnitude : 'real estate'
 - age : 64
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 6. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 753. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is guarantor. The residence_since is 3. The property_magnitude is 'real estate'. The age is 64. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>6</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>753</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>guarantor</td>
      <td>3</td>
      <td>'real estate'</td>
      <td>64</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 6 & 'existing paid' & radio/tv & 753 & '<100' & '1<=X<4' & 2 & guarantor & 3 & 'real estate' & 64 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 64, 'checking_status': ""'0<=X<200'"", 'credit_amount': 753, 'credit_history': ""'existing paid'"", 'duration': 6, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'guarantor', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 3, 'savings_status': ""'<100'""}",A 64-year-old female German Foreigner is applying for a loan of 753 credits for 6 months for radio or tv purposes. She has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There is a guarantor associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has no other installment plans and 1 credits at this bank. She is employed for more than one year but less than four years. She has lived in a self-owned house for 3 years.  She owns some real estate property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
673,male,'no checking',24,'critical/other existing credit',repairs,5507,'<100','>=7',3,none,4,'no known property',44,none,'for free',2,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'critical/other existing credit', purpose is repairs, credit_amount is 5507, savings_status is '<100', employment is '>=7', installment_commitment is 3, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 44, other_payment_plans is none, housing is 'for free', existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'critical/other existing credit'
 - purpose : repairs
 - credit_amount : 5507
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 44
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 24. The credit_history is 'critical/other existing credit'. The purpose is repairs. The credit_amount is 5507. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 3. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 44. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'critical/other existing credit'</td>
      <td>repairs</td>
      <td>5507</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>3</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>44</td>
      <td>none</td>
      <td>'for free'</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 24 & 'critical/other existing credit' & repairs & 5507 & '<100' & '>=7' & 3 & none & 4 & 'no known property' & 44 & none & 'for free' & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 44, 'checking_status': ""'no checking'"", 'credit_amount': 5507, 'credit_history': ""'critical/other existing credit'"", 'duration': 24, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'no known property'"", 'purpose': 'repairs', 'residence_since': 4, 'savings_status': ""'<100'""}",A 44-year-old male German Foreigner is applying for a loan of 5507 credits for 24 months for repairs purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years. He has lived in a free accommodation for 4 years.  He owns no known property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
674,male,'<0',24,'critical/other existing credit','used car',2957,'<100','>=7',4,none,4,'life insurance',63,none,own,2,skilled,1,yes,yes,good,"gender is male, checking_status is '<0', duration is 24, credit_history is 'critical/other existing credit', purpose is 'used car', credit_amount is 2957, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 63, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 24
 - credit_history : 'critical/other existing credit'
 - purpose : 'used car'
 - credit_amount : 2957
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 63
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 24. The credit_history is 'critical/other existing credit'. The purpose is 'used car'. The credit_amount is 2957. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 63. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>24</td>
      <td>'critical/other existing credit'</td>
      <td>'used car'</td>
      <td>2957</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>63</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 24 & 'critical/other existing credit' & 'used car' & 2957 & '<100' & '>=7' & 4 & none & 4 & 'life insurance' & 63 & none & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 63, 'checking_status': ""'<0'"", 'credit_amount': 2957, 'credit_history': ""'critical/other existing credit'"", 'duration': 24, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 63-year-old male German Foreigner is applying for a loan of 2957 credits for 24 months for used car purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 4 years.  He owns life insurance property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
675,male,'no checking',15,'existing paid','new car',3556,'no known savings','1<=X<4',3,none,2,'no known property',29,none,own,1,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 15, credit_history is 'existing paid', purpose is 'new car', credit_amount is 3556, savings_status is 'no known savings', employment is '1<=X<4', installment_commitment is 3, other_parties is none, residence_since is 2, property_magnitude is 'no known property', age is 29, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 15
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 3556
 - savings_status : 'no known savings'
 - employment : '1<=X<4'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'no known property'
 - age : 29
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 15. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 3556. The savings_status is 'no known savings'. The employment is '1<=X<4'. The installment_commitment is 3. The other_parties is none. The residence_since is 2. The property_magnitude is 'no known property'. The age is 29. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>15</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>3556</td>
      <td>'no known savings'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>3</td>
      <td>none</td>
      <td>2</td>
      <td>'no known property'</td>
      <td>29</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 15 & 'existing paid' & 'new car' & 3556 & 'no known savings' & '1<=X<4' & 3 & none & 2 & 'no known property' & 29 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 29, 'checking_status': ""'no checking'"", 'credit_amount': 3556, 'credit_history': ""'existing paid'"", 'duration': 15, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'no known property'"", 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'no known savings'""}",A 29-year-old male German Foreigner is applying for a loan of 3556 credits for 15 months for new car purposes. He has no checking account and no known savings. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 2 years.  He owns no known property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
676,female,'no checking',24,'existing paid',radio/tv,3181,'<100','<1',4,none,4,'life insurance',26,none,own,1,skilled,1,yes,yes,good,"gender is female, checking_status is 'no checking', duration is 24, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 3181, savings_status is '<100', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 26, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 3181
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 26
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 24. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 3181. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 26. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>3181</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>26</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 24 & 'existing paid' & radio/tv & 3181 & '<100' & '<1' & 4 & none & 4 & 'life insurance' & 26 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 26, 'checking_status': ""'no checking'"", 'credit_amount': 3181, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'<100'""}",A 26-year-old female German Foreigner is applying for a loan of 3181 credits for 24 months for radio or tv purposes. She has no checking account and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for less than one years. She has lived in a self-owned house for 4 years.  She owns life insurance property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
677,male,'<0',36,'critical/other existing credit','used car',9629,'<100','4<=X<7',4,none,4,car,24,none,own,2,skilled,1,yes,yes,bad,"gender is male, checking_status is '<0', duration is 36, credit_history is 'critical/other existing credit', purpose is 'used car', credit_amount is 9629, savings_status is '<100', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is car, age is 24, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 36
 - credit_history : 'critical/other existing credit'
 - purpose : 'used car'
 - credit_amount : 9629
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 24
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 36. The credit_history is 'critical/other existing credit'. The purpose is 'used car'. The credit_amount is 9629. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 24. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>36</td>
      <td>'critical/other existing credit'</td>
      <td>'used car'</td>
      <td>9629</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>24</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 36 & 'critical/other existing credit' & 'used car' & 9629 & '<100' & '4<=X<7' & 4 & none & 4 & car & 24 & none & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 24, 'checking_status': ""'<0'"", 'credit_amount': 9629, 'credit_history': ""'critical/other existing credit'"", 'duration': 36, 'employment': ""'4<=X<7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 24-year-old male German Foreigner is applying for a loan of 9629 credits for 36 months for used car purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 4 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
678,female,'<0',15,'existing paid','new car',1403,'<100','1<=X<4',2,none,4,car,28,none,rent,1,skilled,1,none,yes,good,"gender is female, checking_status is '<0', duration is 15, credit_history is 'existing paid', purpose is 'new car', credit_amount is 1403, savings_status is '<100', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is car, age is 28, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 15
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 1403
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 28
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 15. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 1403. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 28. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>15</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>1403</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>28</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 15 & 'existing paid' & 'new car' & 1403 & '<100' & '1<=X<4' & 2 & none & 4 & car & 28 & none & rent & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 28, 'checking_status': ""'<0'"", 'credit_amount': 1403, 'credit_history': ""'existing paid'"", 'duration': 15, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 28-year-old female German Foreigner is applying for a loan of 1403 credits for 15 months for new car purposes. She has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has no other installment plans and 1 credits at this bank. She is employed for more than one year but less than four years. She has lived in a rented apartment for 4 years.  She owns a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
679,male,'<0',9,'critical/other existing credit',repairs,1288,'100<=X<500','>=7',3,guarantor,4,'real estate',48,none,own,2,skilled,2,none,no,good,"gender is male, checking_status is '<0', duration is 9, credit_history is 'critical/other existing credit', purpose is repairs, credit_amount is 1288, savings_status is '100<=X<500', employment is '>=7', installment_commitment is 3, other_parties is guarantor, residence_since is 4, property_magnitude is 'real estate', age is 48, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 2, own_telephone is none, foreign_worker is no","- gender : male
 - checking_status : '<0'
 - duration : 9
 - credit_history : 'critical/other existing credit'
 - purpose : repairs
 - credit_amount : 1288
 - savings_status : '100<=X<500'
 - employment : '>=7'
 - installment_commitment : 3
 - other_parties : guarantor
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 48
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : no",The gender is male. The checking_status is '<0'. The duration is 9. The credit_history is 'critical/other existing credit'. The purpose is repairs. The credit_amount is 1288. The savings_status is '100<=X<500'. The employment is '>=7'. The installment_commitment is 3. The other_parties is guarantor. The residence_since is 4. The property_magnitude is 'real estate'. The age is 48. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 2. The own_telephone is none. The foreign_worker is no,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>9</td>
      <td>'critical/other existing credit'</td>
      <td>repairs</td>
      <td>1288</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'&gt;=7'</td>
      <td>3</td>
      <td>guarantor</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>48</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>2</td>
      <td>none</td>
      <td>no</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 9 & 'critical/other existing credit' & repairs & 1288 & '100<=X<500' & '>=7' & 3 & guarantor & 4 & 'real estate' & 48 & none & own & 2 & skilled & 2 & none & no \\
\end{tabular}
","{'age': 48, 'checking_status': ""'<0'"", 'credit_amount': 1288, 'credit_history': ""'critical/other existing credit'"", 'duration': 9, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'no', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'guarantor', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'repairs', 'residence_since': 4, 'savings_status': ""'100<=X<500'""}",A 48-year-old male German Citizen is applying for a loan of 1288 credits for 9 months for repairs purposes. He has a checking account with 0 Deutsche Mark and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There is a guarantor associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 4 years.  He owns some real estate property. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
680,male,'no checking',30,'existing paid',radio/tv,2333,'500<=X<1000','>=7',4,none,2,car,30,bank,own,1,'high qualif/self emp/mgmt',1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 30, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 2333, savings_status is '500<=X<1000', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is car, age is 30, other_payment_plans is bank, housing is own, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 30
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 2333
 - savings_status : '500<=X<1000'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 30
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 30. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 2333. The savings_status is '500<=X<1000'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 30. The other_payment_plans is bank. The housing is own. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>30</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>2333</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>30</td>
      <td>bank</td>
      <td>own</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 30 & 'existing paid' & radio/tv & 2333 & '500<=X<1000' & '>=7' & 4 & none & 2 & car & 30 & bank & own & 1 & 'high qualif/self emp/mgmt' & 1 & none & yes \\
\end{tabular}
","{'age': 30, 'checking_status': ""'no checking'"", 'credit_amount': 2333, 'credit_history': ""'existing paid'"", 'duration': 30, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'500<=X<1000'""}",A 30-year-old male German Foreigner is applying for a loan of 2333 credits for 30 months for radio or tv purposes. He has no checking account and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a bank and 1 credits at this bank. He is employed for more than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 2 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
681,female,'no checking',6,'critical/other existing credit',radio/tv,1237,'100<=X<500','1<=X<4',1,none,1,'life insurance',27,none,own,2,skilled,1,none,yes,good,"gender is female, checking_status is 'no checking', duration is 6, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 1237, savings_status is '100<=X<500', employment is '1<=X<4', installment_commitment is 1, other_parties is none, residence_since is 1, property_magnitude is 'life insurance', age is 27, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 6
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 1237
 - savings_status : '100<=X<500'
 - employment : '1<=X<4'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'life insurance'
 - age : 27
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 6. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 1237. The savings_status is '100<=X<500'. The employment is '1<=X<4'. The installment_commitment is 1. The other_parties is none. The residence_since is 1. The property_magnitude is 'life insurance'. The age is 27. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>6</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>1237</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>1</td>
      <td>none</td>
      <td>1</td>
      <td>'life insurance'</td>
      <td>27</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 6 & 'critical/other existing credit' & radio/tv & 1237 & '100<=X<500' & '1<=X<4' & 1 & none & 1 & 'life insurance' & 27 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 27, 'checking_status': ""'no checking'"", 'credit_amount': 1237, 'credit_history': ""'critical/other existing credit'"", 'duration': 6, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'radio/tv', 'residence_since': 1, 'savings_status': ""'100<=X<500'""}",A 27-year-old female German Foreigner is applying for a loan of 1237 credits for 6 months for radio or tv purposes. She has no checking account and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. She has no other installment plans and 2 credits at this bank. She is employed for more than one year but less than four years. She has lived in a self-owned house for 1 years.  She owns life insurance property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
682,female,'no checking',6,'critical/other existing credit','new car',362,'100<=X<500','1<=X<4',4,none,4,car,52,none,own,2,'unskilled resident',1,none,yes,good,"gender is female, checking_status is 'no checking', duration is 6, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 362, savings_status is '100<=X<500', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is car, age is 52, other_payment_plans is none, housing is own, existing_credits is 2, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 6
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 362
 - savings_status : '100<=X<500'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 52
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 6. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 362. The savings_status is '100<=X<500'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 52. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>6</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>362</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>52</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 6 & 'critical/other existing credit' & 'new car' & 362 & '100<=X<500' & '1<=X<4' & 4 & none & 4 & car & 52 & none & own & 2 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 52, 'checking_status': ""'no checking'"", 'credit_amount': 362, 'credit_history': ""'critical/other existing credit'"", 'duration': 6, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'100<=X<500'""}",A 52-year-old female German Foreigner is applying for a loan of 362 credits for 6 months for new car purposes. She has no checking account and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 2 credits at this bank. She is employed for more than one year but less than four years and is recognized as an unskilled resident individual. She has lived in a self-owned house for 4 years.  She owns a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
683,male,'0<=X<200',16,'critical/other existing credit','new car',1175,'<100',unemployed,2,none,3,car,68,none,'for free',3,'unemp/unskilled non res',1,yes,yes,good,"gender is male, checking_status is '0<=X<200', duration is 16, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 1175, savings_status is '<100', employment is unemployed, installment_commitment is 2, other_parties is none, residence_since is 3, property_magnitude is car, age is 68, other_payment_plans is none, housing is 'for free', existing_credits is 3, job is 'unemp/unskilled non res', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 16
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 1175
 - savings_status : '<100'
 - employment : unemployed
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 3
 - property_magnitude : car
 - age : 68
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 3
 - job : 'unemp/unskilled non res'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 16. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 1175. The savings_status is '<100'. The employment is unemployed. The installment_commitment is 2. The other_parties is none. The residence_since is 3. The property_magnitude is car. The age is 68. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 3. The job is 'unemp/unskilled non res'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>16</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>1175</td>
      <td>'&lt;100'</td>
      <td>unemployed</td>
      <td>2</td>
      <td>none</td>
      <td>3</td>
      <td>car</td>
      <td>68</td>
      <td>none</td>
      <td>'for free'</td>
      <td>3</td>
      <td>'unemp/unskilled non res'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 16 & 'critical/other existing credit' & 'new car' & 1175 & '<100' & unemployed & 2 & none & 3 & car & 68 & none & 'for free' & 3 & 'unemp/unskilled non res' & 1 & yes & yes \\
\end{tabular}
","{'age': 68, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1175, 'credit_history': ""'critical/other existing credit'"", 'duration': 16, 'employment': 'unemployed', 'existing_credits': 3, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 2, 'job': ""'unemp/unskilled non res'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 3, 'savings_status': ""'<100'""}",A 68-year-old male German Foreigner is applying for a loan of 1175 credits for 16 months for new car purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 3 credits at this bank. He is unemployed and is recognized as an unemployed or unskilled non-resident individual. He has lived in a free accommodation for 3 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
684,male,'no checking',21,'critical/other existing credit','new car',12680,'no known savings','>=7',4,none,4,'no known property',30,none,'for free',1,'high qualif/self emp/mgmt',1,yes,yes,bad,"gender is male, checking_status is 'no checking', duration is 21, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 12680, savings_status is 'no known savings', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 30, other_payment_plans is none, housing is 'for free', existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 21
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 12680
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 30
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 21. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 12680. The savings_status is 'no known savings'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 30. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>21</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>12680</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>30</td>
      <td>none</td>
      <td>'for free'</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 21 & 'critical/other existing credit' & 'new car' & 12680 & 'no known savings' & '>=7' & 4 & none & 4 & 'no known property' & 30 & none & 'for free' & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 30, 'checking_status': ""'no checking'"", 'credit_amount': 12680, 'credit_history': ""'critical/other existing credit'"", 'duration': 21, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 30-year-old male German Foreigner is applying for a loan of 12680 credits for 21 months for new car purposes. He has no checking account and no known savings. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a free accommodation for 4 years.  He owns no known property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
685,male,'<0',18,'no credits/all paid',business,3104,'<100','4<=X<7',3,none,1,'life insurance',31,bank,own,1,skilled,1,yes,yes,good,"gender is male, checking_status is '<0', duration is 18, credit_history is 'no credits/all paid', purpose is business, credit_amount is 3104, savings_status is '<100', employment is '4<=X<7', installment_commitment is 3, other_parties is none, residence_since is 1, property_magnitude is 'life insurance', age is 31, other_payment_plans is bank, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 18
 - credit_history : 'no credits/all paid'
 - purpose : business
 - credit_amount : 3104
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'life insurance'
 - age : 31
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 18. The credit_history is 'no credits/all paid'. The purpose is business. The credit_amount is 3104. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 3. The other_parties is none. The residence_since is 1. The property_magnitude is 'life insurance'. The age is 31. The other_payment_plans is bank. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>18</td>
      <td>'no credits/all paid'</td>
      <td>business</td>
      <td>3104</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>3</td>
      <td>none</td>
      <td>1</td>
      <td>'life insurance'</td>
      <td>31</td>
      <td>bank</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 18 & 'no credits/all paid' & business & 3104 & '<100' & '4<=X<7' & 3 & none & 1 & 'life insurance' & 31 & bank & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 31, 'checking_status': ""'<0'"", 'credit_amount': 3104, 'credit_history': ""'no credits/all paid'"", 'duration': 18, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': 'business', 'residence_since': 1, 'savings_status': ""'<100'""}",A 31-year-old male German Foreigner is applying for a loan of 3104 credits for 18 months for business purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He did not take any credits at this bank or has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has other installment plans with a bank and 1 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 1 years.  He owns life insurance property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
686,male,'no checking',24,'existing paid','used car',6313,'no known savings','>=7',3,none,4,car,41,none,own,1,'high qualif/self emp/mgmt',2,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'existing paid', purpose is 'used car', credit_amount is 6313, savings_status is 'no known savings', employment is '>=7', installment_commitment is 3, other_parties is none, residence_since is 4, property_magnitude is car, age is 41, other_payment_plans is none, housing is own, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 2, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : 'used car'
 - credit_amount : 6313
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 41
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 2
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 24. The credit_history is 'existing paid'. The purpose is 'used car'. The credit_amount is 6313. The savings_status is 'no known savings'. The employment is '>=7'. The installment_commitment is 3. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 41. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 2. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>'used car'</td>
      <td>6313</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>3</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>41</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>2</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 24 & 'existing paid' & 'used car' & 6313 & 'no known savings' & '>=7' & 3 & none & 4 & car & 41 & none & own & 1 & 'high qualif/self emp/mgmt' & 2 & yes & yes \\
\end{tabular}
","{'age': 41, 'checking_status': ""'no checking'"", 'credit_amount': 6313, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 41-year-old male German Foreigner is applying for a loan of 6313 credits for 24 months for used car purposes. He has no checking account and no known savings. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 4 years.  He owns a car. He owns a telephone and has 2 people that he is liable to provide maintenance for.
687,male,'no checking',12,'existing paid',radio/tv,1262,'<100','1<=X<4',3,none,2,car,25,none,own,1,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 12, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1262, savings_status is '<100', employment is '1<=X<4', installment_commitment is 3, other_parties is none, residence_since is 2, property_magnitude is car, age is 25, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1262
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 25
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 12. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1262. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 3. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 25. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1262</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>3</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>25</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 12 & 'existing paid' & radio/tv & 1262 & '<100' & '1<=X<4' & 3 & none & 2 & car & 25 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 25, 'checking_status': ""'no checking'"", 'credit_amount': 1262, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 25-year-old male German Foreigner is applying for a loan of 1262 credits for 12 months for radio or tv purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 2 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
688,male,'<0',9,'existing paid','new car',1422,'<100','<1',3,none,2,'no known property',27,none,'for free',1,'high qualif/self emp/mgmt',1,yes,yes,bad,"gender is male, checking_status is '<0', duration is 9, credit_history is 'existing paid', purpose is 'new car', credit_amount is 1422, savings_status is '<100', employment is '<1', installment_commitment is 3, other_parties is none, residence_since is 2, property_magnitude is 'no known property', age is 27, other_payment_plans is none, housing is 'for free', existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 9
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 1422
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'no known property'
 - age : 27
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 9. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 1422. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 3. The other_parties is none. The residence_since is 2. The property_magnitude is 'no known property'. The age is 27. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>9</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>1422</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>3</td>
      <td>none</td>
      <td>2</td>
      <td>'no known property'</td>
      <td>27</td>
      <td>none</td>
      <td>'for free'</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 9 & 'existing paid' & 'new car' & 1422 & '<100' & '<1' & 3 & none & 2 & 'no known property' & 27 & none & 'for free' & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 27, 'checking_status': ""'<0'"", 'credit_amount': 1422, 'credit_history': ""'existing paid'"", 'duration': 9, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 3, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'<100'""}",A 27-year-old male German Foreigner is applying for a loan of 1422 credits for 9 months for new car purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 1 credits at this bank. He is employed for less than one years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a free accommodation for 2 years.  He owns no known property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
689,female,'<0',15,'existing paid','domestic appliance',1275,'no known savings','1<=X<4',4,none,2,car,24,none,rent,1,skilled,1,none,yes,bad,"gender is female, checking_status is '<0', duration is 15, credit_history is 'existing paid', purpose is 'domestic appliance', credit_amount is 1275, savings_status is 'no known savings', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is car, age is 24, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 15
 - credit_history : 'existing paid'
 - purpose : 'domestic appliance'
 - credit_amount : 1275
 - savings_status : 'no known savings'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 24
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 15. The credit_history is 'existing paid'. The purpose is 'domestic appliance'. The credit_amount is 1275. The savings_status is 'no known savings'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 24. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>15</td>
      <td>'existing paid'</td>
      <td>'domestic appliance'</td>
      <td>1275</td>
      <td>'no known savings'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>24</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 15 & 'existing paid' & 'domestic appliance' & 1275 & 'no known savings' & '1<=X<4' & 4 & none & 2 & car & 24 & none & rent & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 24, 'checking_status': ""'<0'"", 'credit_amount': 1275, 'credit_history': ""'existing paid'"", 'duration': 15, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': ""'domestic appliance'"", 'residence_since': 2, 'savings_status': ""'no known savings'""}",A 24-year-old female German Foreigner is applying for a loan of 1275 credits for 15 months for domestic appliance purposes. She has a checking account with 0 Deutsche Mark and no known savings. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for more than one year but less than four years. She has lived in a rented apartment for 2 years.  She owns a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
690,male,'no checking',21,'existing paid','used car',5248,'no known savings','1<=X<4',1,none,3,car,26,none,own,1,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 21, credit_history is 'existing paid', purpose is 'used car', credit_amount is 5248, savings_status is 'no known savings', employment is '1<=X<4', installment_commitment is 1, other_parties is none, residence_since is 3, property_magnitude is car, age is 26, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 21
 - credit_history : 'existing paid'
 - purpose : 'used car'
 - credit_amount : 5248
 - savings_status : 'no known savings'
 - employment : '1<=X<4'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 3
 - property_magnitude : car
 - age : 26
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 21. The credit_history is 'existing paid'. The purpose is 'used car'. The credit_amount is 5248. The savings_status is 'no known savings'. The employment is '1<=X<4'. The installment_commitment is 1. The other_parties is none. The residence_since is 3. The property_magnitude is car. The age is 26. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>21</td>
      <td>'existing paid'</td>
      <td>'used car'</td>
      <td>5248</td>
      <td>'no known savings'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>1</td>
      <td>none</td>
      <td>3</td>
      <td>car</td>
      <td>26</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 21 & 'existing paid' & 'used car' & 5248 & 'no known savings' & '1<=X<4' & 1 & none & 3 & car & 26 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 26, 'checking_status': ""'no checking'"", 'credit_amount': 5248, 'credit_history': ""'existing paid'"", 'duration': 21, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': ""'used car'"", 'residence_since': 3, 'savings_status': ""'no known savings'""}",A 26-year-old male German Foreigner is applying for a loan of 5248 credits for 21 months for used car purposes. He has no checking account and no known savings. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 3 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
691,male,'0<=X<200',20,'no credits/all paid','used car',6148,'100<=X<500','>=7',3,none,4,car,31,bank,own,2,skilled,1,yes,yes,good,"gender is male, checking_status is '0<=X<200', duration is 20, credit_history is 'no credits/all paid', purpose is 'used car', credit_amount is 6148, savings_status is '100<=X<500', employment is '>=7', installment_commitment is 3, other_parties is none, residence_since is 4, property_magnitude is car, age is 31, other_payment_plans is bank, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 20
 - credit_history : 'no credits/all paid'
 - purpose : 'used car'
 - credit_amount : 6148
 - savings_status : '100<=X<500'
 - employment : '>=7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 31
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 20. The credit_history is 'no credits/all paid'. The purpose is 'used car'. The credit_amount is 6148. The savings_status is '100<=X<500'. The employment is '>=7'. The installment_commitment is 3. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 31. The other_payment_plans is bank. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>20</td>
      <td>'no credits/all paid'</td>
      <td>'used car'</td>
      <td>6148</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'&gt;=7'</td>
      <td>3</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>31</td>
      <td>bank</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 20 & 'no credits/all paid' & 'used car' & 6148 & '100<=X<500' & '>=7' & 3 & none & 4 & car & 31 & bank & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 31, 'checking_status': ""'0<=X<200'"", 'credit_amount': 6148, 'credit_history': ""'no credits/all paid'"", 'duration': 20, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'100<=X<500'""}",A 31-year-old male German Foreigner is applying for a loan of 6148 credits for 20 months for used car purposes. He has a checking account with less than 200 Deutsche Mark and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. He did not take any credits at this bank or has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has other installment plans with a bank and 2 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 4 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
692,female,'no checking',27,'existing paid','new car',2570,'<100','1<=X<4',3,none,3,'real estate',21,none,rent,1,skilled,1,none,yes,bad,"gender is female, checking_status is 'no checking', duration is 27, credit_history is 'existing paid', purpose is 'new car', credit_amount is 2570, savings_status is '<100', employment is '1<=X<4', installment_commitment is 3, other_parties is none, residence_since is 3, property_magnitude is 'real estate', age is 21, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 27
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 2570
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'real estate'
 - age : 21
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 27. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 2570. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 3. The other_parties is none. The residence_since is 3. The property_magnitude is 'real estate'. The age is 21. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>27</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>2570</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>3</td>
      <td>none</td>
      <td>3</td>
      <td>'real estate'</td>
      <td>21</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 27 & 'existing paid' & 'new car' & 2570 & '<100' & '1<=X<4' & 3 & none & 3 & 'real estate' & 21 & none & rent & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 21, 'checking_status': ""'no checking'"", 'credit_amount': 2570, 'credit_history': ""'existing paid'"", 'duration': 27, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 3, 'savings_status': ""'<100'""}",A 21-year-old female German Foreigner is applying for a loan of 2570 credits for 27 months for new car purposes. She has no checking account and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. She has no other installment plans and 1 credits at this bank. She is employed for more than one year but less than four years. She has lived in a rented apartment for 3 years.  She owns some real estate property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
693,female,'0<=X<200',48,'existing paid',furniture/equipment,9960,'<100','<1',1,none,2,car,26,none,own,1,skilled,1,yes,yes,bad,"gender is female, checking_status is '0<=X<200', duration is 48, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 9960, savings_status is '<100', employment is '<1', installment_commitment is 1, other_parties is none, residence_since is 2, property_magnitude is car, age is 26, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 48
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 9960
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 26
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 48. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 9960. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 1. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 26. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>48</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>9960</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>1</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>26</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 48 & 'existing paid' & furniture/equipment & 9960 & '<100' & '<1' & 1 & none & 2 & car & 26 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 26, 'checking_status': ""'0<=X<200'"", 'credit_amount': 9960, 'credit_history': ""'existing paid'"", 'duration': 48, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'furniture/equipment', 'residence_since': 2, 'savings_status': ""'<100'""}",A 26-year-old female German Foreigner is applying for a loan of 9960 credits for 48 months for furniture or equipment purposes. She has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. She has no other installment plans and 1 credits at this bank. She is employed for less than one years. She has lived in a self-owned house for 2 years.  She owns a car. She owns a telephone and has 1 person that she is liable to provide maintenance for.
694,male,'<0',48,'critical/other existing credit','used car',6331,'<100','>=7',4,none,4,'no known property',46,none,'for free',2,skilled,1,yes,yes,bad,"gender is male, checking_status is '<0', duration is 48, credit_history is 'critical/other existing credit', purpose is 'used car', credit_amount is 6331, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 46, other_payment_plans is none, housing is 'for free', existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 48
 - credit_history : 'critical/other existing credit'
 - purpose : 'used car'
 - credit_amount : 6331
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 46
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 48. The credit_history is 'critical/other existing credit'. The purpose is 'used car'. The credit_amount is 6331. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 46. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>48</td>
      <td>'critical/other existing credit'</td>
      <td>'used car'</td>
      <td>6331</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>46</td>
      <td>none</td>
      <td>'for free'</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 48 & 'critical/other existing credit' & 'used car' & 6331 & '<100' & '>=7' & 4 & none & 4 & 'no known property' & 46 & none & 'for free' & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 46, 'checking_status': ""'<0'"", 'credit_amount': 6331, 'credit_history': ""'critical/other existing credit'"", 'duration': 48, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 46-year-old male German Foreigner is applying for a loan of 6331 credits for 48 months for used car purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years. He has lived in a free accommodation for 4 years.  He owns no known property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
695,female,'>=200',12,'existing paid',furniture/equipment,2251,'<100','1<=X<4',1,none,2,car,46,none,own,1,'unskilled resident',1,none,yes,good,"gender is female, checking_status is '>=200', duration is 12, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 2251, savings_status is '<100', employment is '1<=X<4', installment_commitment is 1, other_parties is none, residence_since is 2, property_magnitude is car, age is 46, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '>=200'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 2251
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 46
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '>=200'. The duration is 12. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 2251. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 1. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 46. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&gt;=200'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>2251</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>1</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>46</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '>=200' & 12 & 'existing paid' & furniture/equipment & 2251 & '<100' & '1<=X<4' & 1 & none & 2 & car & 46 & none & own & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 46, 'checking_status': ""'>=200'"", 'credit_amount': 2251, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 1, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'furniture/equipment', 'residence_since': 2, 'savings_status': ""'<100'""}",A 46-year-old female German Foreigner is applying for a loan of 2251 credits for 12 months for furniture or equipment purposes. She has a checking account with 200 Deutsche Mark or more and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. She has no other installment plans and 1 credits at this bank. She is employed for more than one year but less than four years and is recognized as an unskilled resident individual. She has lived in a self-owned house for 2 years.  She owns a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
696,male,'no checking',15,'critical/other existing credit',radio/tv,1316,'500<=X<1000','1<=X<4',2,none,2,'life insurance',47,none,own,2,'unskilled resident',1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 15, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 1316, savings_status is '500<=X<1000', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 2, property_magnitude is 'life insurance', age is 47, other_payment_plans is none, housing is own, existing_credits is 2, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 15
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 1316
 - savings_status : '500<=X<1000'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 47
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 15. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 1316. The savings_status is '500<=X<1000'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 47. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>15</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>1316</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>47</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 15 & 'critical/other existing credit' & radio/tv & 1316 & '500<=X<1000' & '1<=X<4' & 2 & none & 2 & 'life insurance' & 47 & none & own & 2 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 47, 'checking_status': ""'no checking'"", 'credit_amount': 1316, 'credit_history': ""'critical/other existing credit'"", 'duration': 15, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'500<=X<1000'""}",A 47-year-old male German Foreigner is applying for a loan of 1316 credits for 15 months for radio or tv purposes. He has no checking account and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 2 credits at this bank. He is employed for more than one year but less than four years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 2 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
697,male,'<0',15,'existing paid','new car',1721,'<100','<1',2,none,3,'real estate',36,none,own,1,skilled,1,none,yes,good,"gender is male, checking_status is '<0', duration is 15, credit_history is 'existing paid', purpose is 'new car', credit_amount is 1721, savings_status is '<100', employment is '<1', installment_commitment is 2, other_parties is none, residence_since is 3, property_magnitude is 'real estate', age is 36, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 15
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 1721
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'real estate'
 - age : 36
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 15. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 1721. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 2. The other_parties is none. The residence_since is 3. The property_magnitude is 'real estate'. The age is 36. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>15</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>1721</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>2</td>
      <td>none</td>
      <td>3</td>
      <td>'real estate'</td>
      <td>36</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 15 & 'existing paid' & 'new car' & 1721 & '<100' & '<1' & 2 & none & 3 & 'real estate' & 36 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 36, 'checking_status': ""'<0'"", 'credit_amount': 1721, 'credit_history': ""'existing paid'"", 'duration': 15, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 3, 'savings_status': ""'<100'""}",A 36-year-old male German Foreigner is applying for a loan of 1721 credits for 15 months for new car purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for less than one years. He has lived in a self-owned house for 3 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
698,female,'no checking',24,'existing paid','used car',2679,'<100','<1',4,none,1,'no known property',29,none,own,1,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is female, checking_status is 'no checking', duration is 24, credit_history is 'existing paid', purpose is 'used car', credit_amount is 2679, savings_status is '<100', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 1, property_magnitude is 'no known property', age is 29, other_payment_plans is none, housing is own, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : 'used car'
 - credit_amount : 2679
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'no known property'
 - age : 29
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 24. The credit_history is 'existing paid'. The purpose is 'used car'. The credit_amount is 2679. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 1. The property_magnitude is 'no known property'. The age is 29. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>'used car'</td>
      <td>2679</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>1</td>
      <td>'no known property'</td>
      <td>29</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 24 & 'existing paid' & 'used car' & 2679 & '<100' & '<1' & 4 & none & 1 & 'no known property' & 29 & none & own & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 29, 'checking_status': ""'no checking'"", 'credit_amount': 2679, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': ""'used car'"", 'residence_since': 1, 'savings_status': ""'<100'""}",A 29-year-old female German Foreigner is applying for a loan of 2679 credits for 24 months for used car purposes. She has no checking account and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for less than one years and is recognized as a highly qualified employee or is self employed or has managerial position. She has lived in a self-owned house for 1 years.  She owns no known property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
699,male,'<0',30,'existing paid','used car',3857,'<100','1<=X<4',4,none,4,'life insurance',40,none,own,1,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is male, checking_status is '<0', duration is 30, credit_history is 'existing paid', purpose is 'used car', credit_amount is 3857, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 40, other_payment_plans is none, housing is own, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 30
 - credit_history : 'existing paid'
 - purpose : 'used car'
 - credit_amount : 3857
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 40
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 30. The credit_history is 'existing paid'. The purpose is 'used car'. The credit_amount is 3857. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 40. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>30</td>
      <td>'existing paid'</td>
      <td>'used car'</td>
      <td>3857</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>40</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 30 & 'existing paid' & 'used car' & 3857 & '<100' & '1<=X<4' & 4 & none & 4 & 'life insurance' & 40 & none & own & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 40, 'checking_status': ""'<0'"", 'credit_amount': 3857, 'credit_history': ""'existing paid'"", 'duration': 30, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 40-year-old male German Foreigner is applying for a loan of 3857 credits for 30 months for used car purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 4 years.  He owns life insurance property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
700,female,'0<=X<200',36,'delayed previously','new car',7432,'<100','1<=X<4',2,none,2,'life insurance',54,none,rent,1,skilled,1,none,yes,good,"gender is female, checking_status is '0<=X<200', duration is 36, credit_history is 'delayed previously', purpose is 'new car', credit_amount is 7432, savings_status is '<100', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 2, property_magnitude is 'life insurance', age is 54, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 36
 - credit_history : 'delayed previously'
 - purpose : 'new car'
 - credit_amount : 7432
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 54
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 36. The credit_history is 'delayed previously'. The purpose is 'new car'. The credit_amount is 7432. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 54. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>36</td>
      <td>'delayed previously'</td>
      <td>'new car'</td>
      <td>7432</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>54</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 36 & 'delayed previously' & 'new car' & 7432 & '<100' & '1<=X<4' & 2 & none & 2 & 'life insurance' & 54 & none & rent & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 54, 'checking_status': ""'0<=X<200'"", 'credit_amount': 7432, 'credit_history': ""'delayed previously'"", 'duration': 36, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'<100'""}",A 54-year-old female German Foreigner is applying for a loan of 7432 credits for 36 months for new car purposes. She has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has no other installment plans and 1 credits at this bank. She is employed for more than one year but less than four years. She has lived in a rented apartment for 2 years.  She owns life insurance property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
701,female,'<0',24,'existing paid',radio/tv,2439,'<100','<1',4,none,4,'real estate',35,none,own,1,skilled,1,yes,yes,bad,"gender is female, checking_status is '<0', duration is 24, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 2439, savings_status is '<100', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 35, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 2439
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 35
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 24. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 2439. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 35. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>2439</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>35</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 24 & 'existing paid' & radio/tv & 2439 & '<100' & '<1' & 4 & none & 4 & 'real estate' & 35 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 35, 'checking_status': ""'<0'"", 'credit_amount': 2439, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'<100'""}",A 35-year-old female German Foreigner is applying for a loan of 2439 credits for 24 months for radio or tv purposes. She has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for less than one years. She has lived in a self-owned house for 4 years.  She owns some real estate property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
702,male,'no checking',24,'existing paid',radio/tv,999,'no known savings','>=7',4,none,2,car,25,none,own,2,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 999, savings_status is 'no known savings', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is car, age is 25, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 999
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 25
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 24. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 999. The savings_status is 'no known savings'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 25. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>999</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>25</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 24 & 'existing paid' & radio/tv & 999 & 'no known savings' & '>=7' & 4 & none & 2 & car & 25 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 25, 'checking_status': ""'no checking'"", 'credit_amount': 999, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'no known savings'""}",A 25-year-old male German Foreigner is applying for a loan of 999 credits for 24 months for radio or tv purposes. He has no checking account and no known savings. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 2 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
703,male,'<0',12,'existing paid','new car',1168,'<100','1<=X<4',4,none,3,'real estate',27,none,own,1,'unskilled resident',1,none,yes,good,"gender is male, checking_status is '<0', duration is 12, credit_history is 'existing paid', purpose is 'new car', credit_amount is 1168, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 3, property_magnitude is 'real estate', age is 27, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 1168
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'real estate'
 - age : 27
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 12. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 1168. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 3. The property_magnitude is 'real estate'. The age is 27. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>1168</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>'real estate'</td>
      <td>27</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 12 & 'existing paid' & 'new car' & 1168 & '<100' & '1<=X<4' & 4 & none & 3 & 'real estate' & 27 & none & own & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 27, 'checking_status': ""'<0'"", 'credit_amount': 1168, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 3, 'savings_status': ""'<100'""}",A 27-year-old male German Foreigner is applying for a loan of 1168 credits for 12 months for new car purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 3 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
704,female,'no checking',18,'critical/other existing credit','new car',1055,'<100','<1',4,none,1,'life insurance',30,none,own,2,skilled,1,none,yes,good,"gender is female, checking_status is 'no checking', duration is 18, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 1055, savings_status is '<100', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 1, property_magnitude is 'life insurance', age is 30, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 18
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 1055
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'life insurance'
 - age : 30
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 18. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 1055. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 1. The property_magnitude is 'life insurance'. The age is 30. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>18</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>1055</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>1</td>
      <td>'life insurance'</td>
      <td>30</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 18 & 'critical/other existing credit' & 'new car' & 1055 & '<100' & '<1' & 4 & none & 1 & 'life insurance' & 30 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 30, 'checking_status': ""'no checking'"", 'credit_amount': 1055, 'credit_history': ""'critical/other existing credit'"", 'duration': 18, 'employment': ""'<1'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': ""'new car'"", 'residence_since': 1, 'savings_status': ""'<100'""}",A 30-year-old female German Foreigner is applying for a loan of 1055 credits for 18 months for new car purposes. She has no checking account and a savings acccount with less than 100 Deutsche Mark. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 2 credits at this bank. She is employed for less than one years. She has lived in a self-owned house for 1 years.  She owns life insurance property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
705,male,'0<=X<200',12,'existing paid',radio/tv,1331,'<100','<1',2,none,1,car,22,stores,own,1,skilled,1,none,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 12, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1331, savings_status is '<100', employment is '<1', installment_commitment is 2, other_parties is none, residence_since is 1, property_magnitude is car, age is 22, other_payment_plans is stores, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1331
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 1
 - property_magnitude : car
 - age : 22
 - other_payment_plans : stores
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 12. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1331. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 2. The other_parties is none. The residence_since is 1. The property_magnitude is car. The age is 22. The other_payment_plans is stores. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1331</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>2</td>
      <td>none</td>
      <td>1</td>
      <td>car</td>
      <td>22</td>
      <td>stores</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 12 & 'existing paid' & radio/tv & 1331 & '<100' & '<1' & 2 & none & 1 & car & 22 & stores & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 22, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1331, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'stores', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 1, 'savings_status': ""'<100'""}",A 22-year-old male German Foreigner is applying for a loan of 1331 credits for 12 months for radio or tv purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has other installment plans with a store and 1 credits at this bank. He is employed for less than one years. He has lived in a self-owned house for 1 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
706,male,'>=200',24,'critical/other existing credit',business,1275,'>=1000','1<=X<4',2,none,4,'real estate',36,none,own,2,skilled,1,yes,yes,good,"gender is male, checking_status is '>=200', duration is 24, credit_history is 'critical/other existing credit', purpose is business, credit_amount is 1275, savings_status is '>=1000', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 36, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '>=200'
 - duration : 24
 - credit_history : 'critical/other existing credit'
 - purpose : business
 - credit_amount : 1275
 - savings_status : '>=1000'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 36
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '>=200'. The duration is 24. The credit_history is 'critical/other existing credit'. The purpose is business. The credit_amount is 1275. The savings_status is '>=1000'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 36. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&gt;=200'</td>
      <td>24</td>
      <td>'critical/other existing credit'</td>
      <td>business</td>
      <td>1275</td>
      <td>'&gt;=1000'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>36</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '>=200' & 24 & 'critical/other existing credit' & business & 1275 & '>=1000' & '1<=X<4' & 2 & none & 4 & 'real estate' & 36 & none & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 36, 'checking_status': ""'>=200'"", 'credit_amount': 1275, 'credit_history': ""'critical/other existing credit'"", 'duration': 24, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': 'business', 'residence_since': 4, 'savings_status': ""'>=1000'""}",A 36-year-old male German Foreigner is applying for a loan of 1275 credits for 24 months for business purposes. He has a checking account with 200 Deutsche Mark or more and a savings with 1000 Deutsche Mark or more. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 2 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 4 years.  He owns some real estate property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
707,male,'0<=X<200',18,'critical/other existing credit',business,1887,'no known savings','1<=X<4',4,none,4,'real estate',28,bank,own,2,skilled,1,none,yes,good,"gender is male, checking_status is '0<=X<200', duration is 18, credit_history is 'critical/other existing credit', purpose is business, credit_amount is 1887, savings_status is 'no known savings', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 28, other_payment_plans is bank, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 18
 - credit_history : 'critical/other existing credit'
 - purpose : business
 - credit_amount : 1887
 - savings_status : 'no known savings'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 28
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 18. The credit_history is 'critical/other existing credit'. The purpose is business. The credit_amount is 1887. The savings_status is 'no known savings'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 28. The other_payment_plans is bank. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>18</td>
      <td>'critical/other existing credit'</td>
      <td>business</td>
      <td>1887</td>
      <td>'no known savings'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>28</td>
      <td>bank</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 18 & 'critical/other existing credit' & business & 1887 & 'no known savings' & '1<=X<4' & 4 & none & 4 & 'real estate' & 28 & bank & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 28, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1887, 'credit_history': ""'critical/other existing credit'"", 'duration': 18, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'business', 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 28-year-old male German Foreigner is applying for a loan of 1887 credits for 18 months for business purposes. He has a checking account with less than 200 Deutsche Mark and no known savings. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a bank and 2 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 4 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
708,female,'>=200',24,'existing paid',radio/tv,1377,'100<=X<500','>=7',4,none,2,'no known property',47,none,'for free',1,skilled,1,yes,yes,good,"gender is female, checking_status is '>=200', duration is 24, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1377, savings_status is '100<=X<500', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is 'no known property', age is 47, other_payment_plans is none, housing is 'for free', existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '>=200'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1377
 - savings_status : '100<=X<500'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'no known property'
 - age : 47
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '>=200'. The duration is 24. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1377. The savings_status is '100<=X<500'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is 'no known property'. The age is 47. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&gt;=200'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1377</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'no known property'</td>
      <td>47</td>
      <td>none</td>
      <td>'for free'</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '>=200' & 24 & 'existing paid' & radio/tv & 1377 & '100<=X<500' & '>=7' & 4 & none & 2 & 'no known property' & 47 & none & 'for free' & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 47, 'checking_status': ""'>=200'"", 'credit_amount': 1377, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': ""'for free'"", 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'100<=X<500'""}",A 47-year-old female German Foreigner is applying for a loan of 1377 credits for 24 months for radio or tv purposes. She has a checking account with 200 Deutsche Mark or more and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for more than seven years. She has lived in a free accommodation for 2 years.  She owns no known property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
709,male,'no checking',39,'existing paid','used car',2569,'500<=X<1000','1<=X<4',4,none,4,car,24,none,own,1,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 39, credit_history is 'existing paid', purpose is 'used car', credit_amount is 2569, savings_status is '500<=X<1000', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is car, age is 24, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 39
 - credit_history : 'existing paid'
 - purpose : 'used car'
 - credit_amount : 2569
 - savings_status : '500<=X<1000'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 24
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 39. The credit_history is 'existing paid'. The purpose is 'used car'. The credit_amount is 2569. The savings_status is '500<=X<1000'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 24. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>39</td>
      <td>'existing paid'</td>
      <td>'used car'</td>
      <td>2569</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>24</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 39 & 'existing paid' & 'used car' & 2569 & '500<=X<1000' & '1<=X<4' & 4 & none & 4 & car & 24 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 24, 'checking_status': ""'no checking'"", 'credit_amount': 2569, 'credit_history': ""'existing paid'"", 'duration': 39, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'500<=X<1000'""}",A 24-year-old male German Foreigner is applying for a loan of 2569 credits for 39 months for used car purposes. He has no checking account and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 4 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
710,male,'>=200',12,'existing paid',radio/tv,3016,'<100','1<=X<4',3,none,1,car,24,none,own,1,skilled,1,none,yes,good,"gender is male, checking_status is '>=200', duration is 12, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 3016, savings_status is '<100', employment is '1<=X<4', installment_commitment is 3, other_parties is none, residence_since is 1, property_magnitude is car, age is 24, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '>=200'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 3016
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 1
 - property_magnitude : car
 - age : 24
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '>=200'. The duration is 12. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 3016. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 3. The other_parties is none. The residence_since is 1. The property_magnitude is car. The age is 24. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&gt;=200'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>3016</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>3</td>
      <td>none</td>
      <td>1</td>
      <td>car</td>
      <td>24</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '>=200' & 12 & 'existing paid' & radio/tv & 3016 & '<100' & '1<=X<4' & 3 & none & 1 & car & 24 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 24, 'checking_status': ""'>=200'"", 'credit_amount': 3016, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 1, 'savings_status': ""'<100'""}",A 24-year-old male German Foreigner is applying for a loan of 3016 credits for 12 months for radio or tv purposes. He has a checking account with 200 Deutsche Mark or more and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 1 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
711,female,'<0',36,'critical/other existing credit',education,8065,'<100','1<=X<4',3,none,2,'no known property',25,none,own,2,'high qualif/self emp/mgmt',1,yes,yes,bad,"gender is female, checking_status is '<0', duration is 36, credit_history is 'critical/other existing credit', purpose is education, credit_amount is 8065, savings_status is '<100', employment is '1<=X<4', installment_commitment is 3, other_parties is none, residence_since is 2, property_magnitude is 'no known property', age is 25, other_payment_plans is none, housing is own, existing_credits is 2, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 36
 - credit_history : 'critical/other existing credit'
 - purpose : education
 - credit_amount : 8065
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'no known property'
 - age : 25
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 36. The credit_history is 'critical/other existing credit'. The purpose is education. The credit_amount is 8065. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 3. The other_parties is none. The residence_since is 2. The property_magnitude is 'no known property'. The age is 25. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>36</td>
      <td>'critical/other existing credit'</td>
      <td>education</td>
      <td>8065</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>3</td>
      <td>none</td>
      <td>2</td>
      <td>'no known property'</td>
      <td>25</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 36 & 'critical/other existing credit' & education & 8065 & '<100' & '1<=X<4' & 3 & none & 2 & 'no known property' & 25 & none & own & 2 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 25, 'checking_status': ""'<0'"", 'credit_amount': 8065, 'credit_history': ""'critical/other existing credit'"", 'duration': 36, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 3, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': 'education', 'residence_since': 2, 'savings_status': ""'<100'""}",A 25-year-old female German Foreigner is applying for a loan of 8065 credits for 36 months for education purposes. She has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. She has no other installment plans and 2 credits at this bank. She is employed for more than one year but less than four years and is recognized as a highly qualified employee or is self employed or has managerial position. She has lived in a self-owned house for 2 years.  She owns no known property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
712,male,'0<=X<200',24,'critical/other existing credit',other,11938,'<100','1<=X<4',2,'co applicant',3,car,39,none,own,2,'high qualif/self emp/mgmt',2,yes,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 24, credit_history is 'critical/other existing credit', purpose is other, credit_amount is 11938, savings_status is '<100', employment is '1<=X<4', installment_commitment is 2, other_parties is 'co applicant', residence_since is 3, property_magnitude is car, age is 39, other_payment_plans is none, housing is own, existing_credits is 2, job is 'high qualif/self emp/mgmt', num_dependents is 2, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 24
 - credit_history : 'critical/other existing credit'
 - purpose : other
 - credit_amount : 11938
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : 'co applicant'
 - residence_since : 3
 - property_magnitude : car
 - age : 39
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 2
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 24. The credit_history is 'critical/other existing credit'. The purpose is other. The credit_amount is 11938. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is 'co applicant'. The residence_since is 3. The property_magnitude is car. The age is 39. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is 'high qualif/self emp/mgmt'. The num_dependents is 2. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>24</td>
      <td>'critical/other existing credit'</td>
      <td>other</td>
      <td>11938</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>'co applicant'</td>
      <td>3</td>
      <td>car</td>
      <td>39</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>2</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 24 & 'critical/other existing credit' & other & 11938 & '<100' & '1<=X<4' & 2 & 'co applicant' & 3 & car & 39 & none & own & 2 & 'high qualif/self emp/mgmt' & 2 & yes & yes \\
\end{tabular}
","{'age': 39, 'checking_status': ""'0<=X<200'"", 'credit_amount': 11938, 'credit_history': ""'critical/other existing credit'"", 'duration': 24, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 2, 'other_parties': ""'co applicant'"", 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'other', 'residence_since': 3, 'savings_status': ""'<100'""}",A 39-year-old male German Foreigner is applying for a loan of 11938 credits for 24 months for other purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There co-applicant associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 2 credits at this bank. He is employed for more than one year but less than four years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 3 years.  He owns a car. He owns a telephone and has 2 people that he is liable to provide maintenance for.
713,female,'0<=X<200',24,'delayed previously',radio/tv,1553,'100<=X<500','4<=X<7',3,none,2,'life insurance',23,none,rent,2,skilled,1,yes,yes,good,"gender is female, checking_status is '0<=X<200', duration is 24, credit_history is 'delayed previously', purpose is radio/tv, credit_amount is 1553, savings_status is '100<=X<500', employment is '4<=X<7', installment_commitment is 3, other_parties is none, residence_since is 2, property_magnitude is 'life insurance', age is 23, other_payment_plans is none, housing is rent, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 24
 - credit_history : 'delayed previously'
 - purpose : radio/tv
 - credit_amount : 1553
 - savings_status : '100<=X<500'
 - employment : '4<=X<7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 23
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 24. The credit_history is 'delayed previously'. The purpose is radio/tv. The credit_amount is 1553. The savings_status is '100<=X<500'. The employment is '4<=X<7'. The installment_commitment is 3. The other_parties is none. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 23. The other_payment_plans is none. The housing is rent. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>24</td>
      <td>'delayed previously'</td>
      <td>radio/tv</td>
      <td>1553</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>3</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>23</td>
      <td>none</td>
      <td>rent</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 24 & 'delayed previously' & radio/tv & 1553 & '100<=X<500' & '4<=X<7' & 3 & none & 2 & 'life insurance' & 23 & none & rent & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 23, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1553, 'credit_history': ""'delayed previously'"", 'duration': 24, 'employment': ""'4<=X<7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'100<=X<500'""}",A 23-year-old female German Foreigner is applying for a loan of 1553 credits for 24 months for radio or tv purposes. She has a checking account with less than 200 Deutsche Mark and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. She has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. She has no other installment plans and 2 credits at this bank. She is employed for more than four years but less than seven years. She has lived in a rented apartment for 2 years.  She owns life insurance property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
714,female,'no checking',9,'existing paid',business,1449,'<100','4<=X<7',3,none,2,car,27,none,own,2,skilled,1,none,yes,good,"gender is female, checking_status is 'no checking', duration is 9, credit_history is 'existing paid', purpose is business, credit_amount is 1449, savings_status is '<100', employment is '4<=X<7', installment_commitment is 3, other_parties is none, residence_since is 2, property_magnitude is car, age is 27, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 9
 - credit_history : 'existing paid'
 - purpose : business
 - credit_amount : 1449
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 27
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 9. The credit_history is 'existing paid'. The purpose is business. The credit_amount is 1449. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 3. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 27. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>9</td>
      <td>'existing paid'</td>
      <td>business</td>
      <td>1449</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>3</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>27</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 9 & 'existing paid' & business & 1449 & '<100' & '4<=X<7' & 3 & none & 2 & car & 27 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 27, 'checking_status': ""'no checking'"", 'credit_amount': 1449, 'credit_history': ""'existing paid'"", 'duration': 9, 'employment': ""'4<=X<7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'business', 'residence_since': 2, 'savings_status': ""'<100'""}",A 27-year-old female German Foreigner is applying for a loan of 1449 credits for 9 months for business purposes. She has no checking account and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. She has no other installment plans and 2 credits at this bank. She is employed for more than four years but less than seven years. She has lived in a self-owned house for 2 years.  She owns a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
715,female,'0<=X<200',48,'existing paid',radio/tv,5951,'<100','1<=X<4',2,none,2,'real estate',22,none,own,1,skilled,1,none,yes,bad,"gender is female, checking_status is '0<=X<200', duration is 48, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 5951, savings_status is '<100', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 22, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 48
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 5951
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 22
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 48. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 5951. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 22. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>48</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>5951</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>22</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 48 & 'existing paid' & radio/tv & 5951 & '<100' & '1<=X<4' & 2 & none & 2 & 'real estate' & 22 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 22, 'checking_status': ""'0<=X<200'"", 'credit_amount': 5951, 'credit_history': ""'existing paid'"", 'duration': 48, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 22-year-old female German Foreigner is applying for a loan of 5951 credits for 48 months for radio or tv purposes. She has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has no other installment plans and 1 credits at this bank. She is employed for more than one year but less than four years. She has lived in a self-owned house for 2 years.  She owns some real estate property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
716,male,'0<=X<200',6,'existing paid',radio/tv,2063,'<100','<1',4,none,3,car,30,none,rent,1,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is male, checking_status is '0<=X<200', duration is 6, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 2063, savings_status is '<100', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 3, property_magnitude is car, age is 30, other_payment_plans is none, housing is rent, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 6
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 2063
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : car
 - age : 30
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 6. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 2063. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 3. The property_magnitude is car. The age is 30. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>6</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>2063</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>car</td>
      <td>30</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 6 & 'existing paid' & radio/tv & 2063 & '<100' & '<1' & 4 & none & 3 & car & 30 & none & rent & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 30, 'checking_status': ""'0<=X<200'"", 'credit_amount': 2063, 'credit_history': ""'existing paid'"", 'duration': 6, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 3, 'savings_status': ""'<100'""}",A 30-year-old male German Foreigner is applying for a loan of 2063 credits for 6 months for radio or tv purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for less than one years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a rented apartment for 3 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
717,female,'>=200',21,'existing paid','new car',2923,'100<=X<500','1<=X<4',1,none,1,car,28,bank,own,1,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is female, checking_status is '>=200', duration is 21, credit_history is 'existing paid', purpose is 'new car', credit_amount is 2923, savings_status is '100<=X<500', employment is '1<=X<4', installment_commitment is 1, other_parties is none, residence_since is 1, property_magnitude is car, age is 28, other_payment_plans is bank, housing is own, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '>=200'
 - duration : 21
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 2923
 - savings_status : '100<=X<500'
 - employment : '1<=X<4'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 1
 - property_magnitude : car
 - age : 28
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '>=200'. The duration is 21. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 2923. The savings_status is '100<=X<500'. The employment is '1<=X<4'. The installment_commitment is 1. The other_parties is none. The residence_since is 1. The property_magnitude is car. The age is 28. The other_payment_plans is bank. The housing is own. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&gt;=200'</td>
      <td>21</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>2923</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>1</td>
      <td>none</td>
      <td>1</td>
      <td>car</td>
      <td>28</td>
      <td>bank</td>
      <td>own</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '>=200' & 21 & 'existing paid' & 'new car' & 2923 & '100<=X<500' & '1<=X<4' & 1 & none & 1 & car & 28 & bank & own & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 28, 'checking_status': ""'>=200'"", 'credit_amount': 2923, 'credit_history': ""'existing paid'"", 'duration': 21, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 1, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 1, 'savings_status': ""'100<=X<500'""}",A 28-year-old female German Foreigner is applying for a loan of 2923 credits for 21 months for new car purposes. She has a checking account with 200 Deutsche Mark or more and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. She has other installment plans with a bank and 1 credits at this bank. She is employed for more than one year but less than four years and is recognized as a highly qualified employee or is self employed or has managerial position. She has lived in a self-owned house for 1 years.  She owns a car. She owns a telephone and has 1 person that she is liable to provide maintenance for.
718,male,'<0',24,'all paid',radio/tv,1546,'<100','4<=X<7',4,guarantor,4,car,24,bank,rent,1,'unskilled resident',1,none,yes,bad,"gender is male, checking_status is '<0', duration is 24, credit_history is 'all paid', purpose is radio/tv, credit_amount is 1546, savings_status is '<100', employment is '4<=X<7', installment_commitment is 4, other_parties is guarantor, residence_since is 4, property_magnitude is car, age is 24, other_payment_plans is bank, housing is rent, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 24
 - credit_history : 'all paid'
 - purpose : radio/tv
 - credit_amount : 1546
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : guarantor
 - residence_since : 4
 - property_magnitude : car
 - age : 24
 - other_payment_plans : bank
 - housing : rent
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 24. The credit_history is 'all paid'. The purpose is radio/tv. The credit_amount is 1546. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is guarantor. The residence_since is 4. The property_magnitude is car. The age is 24. The other_payment_plans is bank. The housing is rent. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>24</td>
      <td>'all paid'</td>
      <td>radio/tv</td>
      <td>1546</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>guarantor</td>
      <td>4</td>
      <td>car</td>
      <td>24</td>
      <td>bank</td>
      <td>rent</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 24 & 'all paid' & radio/tv & 1546 & '<100' & '4<=X<7' & 4 & guarantor & 4 & car & 24 & bank & rent & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 24, 'checking_status': ""'<0'"", 'credit_amount': 1546, 'credit_history': ""'all paid'"", 'duration': 24, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'guarantor', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'<100'""}",A 24-year-old male German Foreigner is applying for a loan of 1546 credits for 24 months for radio or tv purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back all credits at this bank. There is a guarantor associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a bank and 1 credits at this bank. He is employed for more than four years but less than seven years and is recognized as an unskilled resident individual. He has lived in a rented apartment for 4 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
719,female,'no checking',24,'existing paid',radio/tv,5943,'no known savings','<1',1,none,1,car,44,none,own,2,skilled,1,yes,yes,bad,"gender is female, checking_status is 'no checking', duration is 24, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 5943, savings_status is 'no known savings', employment is '<1', installment_commitment is 1, other_parties is none, residence_since is 1, property_magnitude is car, age is 44, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 5943
 - savings_status : 'no known savings'
 - employment : '<1'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 1
 - property_magnitude : car
 - age : 44
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 24. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 5943. The savings_status is 'no known savings'. The employment is '<1'. The installment_commitment is 1. The other_parties is none. The residence_since is 1. The property_magnitude is car. The age is 44. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>5943</td>
      <td>'no known savings'</td>
      <td>'&lt;1'</td>
      <td>1</td>
      <td>none</td>
      <td>1</td>
      <td>car</td>
      <td>44</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 24 & 'existing paid' & radio/tv & 5943 & 'no known savings' & '<1' & 1 & none & 1 & car & 44 & none & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 44, 'checking_status': ""'no checking'"", 'credit_amount': 5943, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'<1'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 1, 'savings_status': ""'no known savings'""}",A 44-year-old female German Foreigner is applying for a loan of 5943 credits for 24 months for radio or tv purposes. She has no checking account and no known savings. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. She has no other installment plans and 2 credits at this bank. She is employed for less than one years. She has lived in a self-owned house for 1 years.  She owns a car. She owns a telephone and has 1 person that she is liable to provide maintenance for.
720,male,'<0',30,'critical/other existing credit','used car',10623,'<100','>=7',3,none,4,'no known property',38,none,'for free',3,'high qualif/self emp/mgmt',2,yes,yes,good,"gender is male, checking_status is '<0', duration is 30, credit_history is 'critical/other existing credit', purpose is 'used car', credit_amount is 10623, savings_status is '<100', employment is '>=7', installment_commitment is 3, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 38, other_payment_plans is none, housing is 'for free', existing_credits is 3, job is 'high qualif/self emp/mgmt', num_dependents is 2, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 30
 - credit_history : 'critical/other existing credit'
 - purpose : 'used car'
 - credit_amount : 10623
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 38
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 3
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 2
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 30. The credit_history is 'critical/other existing credit'. The purpose is 'used car'. The credit_amount is 10623. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 3. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 38. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 3. The job is 'high qualif/self emp/mgmt'. The num_dependents is 2. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>30</td>
      <td>'critical/other existing credit'</td>
      <td>'used car'</td>
      <td>10623</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>3</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>38</td>
      <td>none</td>
      <td>'for free'</td>
      <td>3</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>2</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 30 & 'critical/other existing credit' & 'used car' & 10623 & '<100' & '>=7' & 3 & none & 4 & 'no known property' & 38 & none & 'for free' & 3 & 'high qualif/self emp/mgmt' & 2 & yes & yes \\
\end{tabular}
","{'age': 38, 'checking_status': ""'<0'"", 'credit_amount': 10623, 'credit_history': ""'critical/other existing credit'"", 'duration': 30, 'employment': ""'>=7'"", 'existing_credits': 3, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 3, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 38-year-old male German Foreigner is applying for a loan of 10623 credits for 30 months for used car purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 3 credits at this bank. He is employed for more than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a free accommodation for 4 years.  He owns no known property. He owns a telephone and has 2 people that he is liable to provide maintenance for.
721,female,'>=200',12,'existing paid',furniture/equipment,1474,'<100','<1',4,none,1,'life insurance',33,bank,own,1,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is female, checking_status is '>=200', duration is 12, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 1474, savings_status is '<100', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 1, property_magnitude is 'life insurance', age is 33, other_payment_plans is bank, housing is own, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '>=200'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 1474
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'life insurance'
 - age : 33
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '>=200'. The duration is 12. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 1474. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 1. The property_magnitude is 'life insurance'. The age is 33. The other_payment_plans is bank. The housing is own. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&gt;=200'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>1474</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>1</td>
      <td>'life insurance'</td>
      <td>33</td>
      <td>bank</td>
      <td>own</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '>=200' & 12 & 'existing paid' & furniture/equipment & 1474 & '<100' & '<1' & 4 & none & 1 & 'life insurance' & 33 & bank & own & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 33, 'checking_status': ""'>=200'"", 'credit_amount': 1474, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 1, 'savings_status': ""'<100'""}",A 33-year-old female German Foreigner is applying for a loan of 1474 credits for 12 months for furniture or equipment purposes. She has a checking account with 200 Deutsche Mark or more and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has other installment plans with a bank and 1 credits at this bank. She is employed for less than one years and is recognized as a highly qualified employee or is self employed or has managerial position. She has lived in a self-owned house for 1 years.  She owns life insurance property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
722,female,'<0',24,'existing paid','new car',1371,'no known savings','1<=X<4',4,none,4,'real estate',25,none,rent,1,skilled,1,none,yes,bad,"gender is female, checking_status is '<0', duration is 24, credit_history is 'existing paid', purpose is 'new car', credit_amount is 1371, savings_status is 'no known savings', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 25, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 1371
 - savings_status : 'no known savings'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 25
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 24. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 1371. The savings_status is 'no known savings'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 25. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>1371</td>
      <td>'no known savings'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>25</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 24 & 'existing paid' & 'new car' & 1371 & 'no known savings' & '1<=X<4' & 4 & none & 4 & 'real estate' & 25 & none & rent & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 25, 'checking_status': ""'<0'"", 'credit_amount': 1371, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 25-year-old female German Foreigner is applying for a loan of 1371 credits for 24 months for new car purposes. She has a checking account with 0 Deutsche Mark and no known savings. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for more than one year but less than four years. She has lived in a rented apartment for 4 years.  She owns some real estate property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
723,male,'no checking',24,'existing paid',radio/tv,1413,'<100','1<=X<4',4,none,2,'life insurance',28,none,own,1,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1413, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is 'life insurance', age is 28, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1413
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 28
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 24. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1413. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 28. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1413</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>28</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 24 & 'existing paid' & radio/tv & 1413 & '<100' & '1<=X<4' & 4 & none & 2 & 'life insurance' & 28 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 28, 'checking_status': ""'no checking'"", 'credit_amount': 1413, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 28-year-old male German Foreigner is applying for a loan of 1413 credits for 24 months for radio or tv purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 2 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
724,male,'no checking',18,'critical/other existing credit',radio/tv,1149,'>=1000','1<=X<4',4,none,3,'real estate',46,none,own,2,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 18, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 1149, savings_status is '>=1000', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 3, property_magnitude is 'real estate', age is 46, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 18
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 1149
 - savings_status : '>=1000'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'real estate'
 - age : 46
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 18. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 1149. The savings_status is '>=1000'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 3. The property_magnitude is 'real estate'. The age is 46. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>18</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>1149</td>
      <td>'&gt;=1000'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>'real estate'</td>
      <td>46</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 18 & 'critical/other existing credit' & radio/tv & 1149 & '>=1000' & '1<=X<4' & 4 & none & 3 & 'real estate' & 46 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 46, 'checking_status': ""'no checking'"", 'credit_amount': 1149, 'credit_history': ""'critical/other existing credit'"", 'duration': 18, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 3, 'savings_status': ""'>=1000'""}",A 46-year-old male German Foreigner is applying for a loan of 1149 credits for 18 months for radio or tv purposes. He has no checking account and a savings with 1000 Deutsche Mark or more. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 3 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
725,male,'<0',24,'existing paid','new car',4817,'<100','4<=X<7',2,'co applicant',3,'life insurance',31,none,own,1,skilled,1,yes,yes,bad,"gender is male, checking_status is '<0', duration is 24, credit_history is 'existing paid', purpose is 'new car', credit_amount is 4817, savings_status is '<100', employment is '4<=X<7', installment_commitment is 2, other_parties is 'co applicant', residence_since is 3, property_magnitude is 'life insurance', age is 31, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 4817
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 2
 - other_parties : 'co applicant'
 - residence_since : 3
 - property_magnitude : 'life insurance'
 - age : 31
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 24. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 4817. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 2. The other_parties is 'co applicant'. The residence_since is 3. The property_magnitude is 'life insurance'. The age is 31. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>4817</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>2</td>
      <td>'co applicant'</td>
      <td>3</td>
      <td>'life insurance'</td>
      <td>31</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 24 & 'existing paid' & 'new car' & 4817 & '<100' & '4<=X<7' & 2 & 'co applicant' & 3 & 'life insurance' & 31 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 31, 'checking_status': ""'<0'"", 'credit_amount': 4817, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': ""'co applicant'"", 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': ""'new car'"", 'residence_since': 3, 'savings_status': ""'<100'""}",A 31-year-old male German Foreigner is applying for a loan of 4817 credits for 24 months for new car purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There co-applicant associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 3 years.  He owns life insurance property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
726,male,'no checking',18,'critical/other existing credit','used car',3850,'<100','4<=X<7',3,none,1,car,27,none,own,2,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 18, credit_history is 'critical/other existing credit', purpose is 'used car', credit_amount is 3850, savings_status is '<100', employment is '4<=X<7', installment_commitment is 3, other_parties is none, residence_since is 1, property_magnitude is car, age is 27, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 18
 - credit_history : 'critical/other existing credit'
 - purpose : 'used car'
 - credit_amount : 3850
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 1
 - property_magnitude : car
 - age : 27
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 18. The credit_history is 'critical/other existing credit'. The purpose is 'used car'. The credit_amount is 3850. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 3. The other_parties is none. The residence_since is 1. The property_magnitude is car. The age is 27. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>18</td>
      <td>'critical/other existing credit'</td>
      <td>'used car'</td>
      <td>3850</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>3</td>
      <td>none</td>
      <td>1</td>
      <td>car</td>
      <td>27</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 18 & 'critical/other existing credit' & 'used car' & 3850 & '<100' & '4<=X<7' & 3 & none & 1 & car & 27 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 27, 'checking_status': ""'no checking'"", 'credit_amount': 3850, 'credit_history': ""'critical/other existing credit'"", 'duration': 18, 'employment': ""'4<=X<7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': ""'used car'"", 'residence_since': 1, 'savings_status': ""'<100'""}",A 27-year-old male German Foreigner is applying for a loan of 3850 credits for 18 months for used car purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 2 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 1 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
727,male,'<0',12,'critical/other existing credit','used car',1409,'<100','>=7',4,none,3,'real estate',54,none,own,1,skilled,1,none,yes,good,"gender is male, checking_status is '<0', duration is 12, credit_history is 'critical/other existing credit', purpose is 'used car', credit_amount is 1409, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 3, property_magnitude is 'real estate', age is 54, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 12
 - credit_history : 'critical/other existing credit'
 - purpose : 'used car'
 - credit_amount : 1409
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'real estate'
 - age : 54
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 12. The credit_history is 'critical/other existing credit'. The purpose is 'used car'. The credit_amount is 1409. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 3. The property_magnitude is 'real estate'. The age is 54. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>12</td>
      <td>'critical/other existing credit'</td>
      <td>'used car'</td>
      <td>1409</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>'real estate'</td>
      <td>54</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 12 & 'critical/other existing credit' & 'used car' & 1409 & '<100' & '>=7' & 4 & none & 3 & 'real estate' & 54 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 54, 'checking_status': ""'<0'"", 'credit_amount': 1409, 'credit_history': ""'critical/other existing credit'"", 'duration': 12, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'used car'"", 'residence_since': 3, 'savings_status': ""'<100'""}",A 54-year-old male German Foreigner is applying for a loan of 1409 credits for 12 months for used car purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 3 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
728,male,'0<=X<200',10,'existing paid',furniture/equipment,1521,'<100','1<=X<4',4,none,2,car,31,none,own,1,'unskilled resident',1,none,yes,good,"gender is male, checking_status is '0<=X<200', duration is 10, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 1521, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is car, age is 31, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 10
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 1521
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 31
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 10. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 1521. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 31. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>10</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>1521</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>31</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 10 & 'existing paid' & furniture/equipment & 1521 & '<100' & '1<=X<4' & 4 & none & 2 & car & 31 & none & own & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 31, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1521, 'credit_history': ""'existing paid'"", 'duration': 10, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'furniture/equipment', 'residence_since': 2, 'savings_status': ""'<100'""}",A 31-year-old male German Foreigner is applying for a loan of 1521 credits for 10 months for furniture or equipment purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 2 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
729,female,'no checking',12,'critical/other existing credit',furniture/equipment,1592,'>=1000','4<=X<7',3,none,2,'life insurance',35,none,own,1,skilled,1,none,no,good,"gender is female, checking_status is 'no checking', duration is 12, credit_history is 'critical/other existing credit', purpose is furniture/equipment, credit_amount is 1592, savings_status is '>=1000', employment is '4<=X<7', installment_commitment is 3, other_parties is none, residence_since is 2, property_magnitude is 'life insurance', age is 35, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is no","- gender : female
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'critical/other existing credit'
 - purpose : furniture/equipment
 - credit_amount : 1592
 - savings_status : '>=1000'
 - employment : '4<=X<7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 35
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : no",The gender is female. The checking_status is 'no checking'. The duration is 12. The credit_history is 'critical/other existing credit'. The purpose is furniture/equipment. The credit_amount is 1592. The savings_status is '>=1000'. The employment is '4<=X<7'. The installment_commitment is 3. The other_parties is none. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 35. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is no,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>12</td>
      <td>'critical/other existing credit'</td>
      <td>furniture/equipment</td>
      <td>1592</td>
      <td>'&gt;=1000'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>3</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>35</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>no</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 12 & 'critical/other existing credit' & furniture/equipment & 1592 & '>=1000' & '4<=X<7' & 3 & none & 2 & 'life insurance' & 35 & none & own & 1 & skilled & 1 & none & no \\
\end{tabular}
","{'age': 35, 'checking_status': ""'no checking'"", 'credit_amount': 1592, 'credit_history': ""'critical/other existing credit'"", 'duration': 12, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'no', 'gender': 'female', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 2, 'savings_status': ""'>=1000'""}",A 35-year-old female German Citizen is applying for a loan of 1592 credits for 12 months for furniture or equipment purposes. She has no checking account and a savings with 1000 Deutsche Mark or more. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. She has no other installment plans and 1 credits at this bank. She is employed for more than four years but less than seven years. She has lived in a self-owned house for 2 years.  She owns life insurance property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
730,male,'0<=X<200',24,'delayed previously',business,4712,'no known savings','1<=X<4',4,none,2,'life insurance',37,bank,own,2,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is male, checking_status is '0<=X<200', duration is 24, credit_history is 'delayed previously', purpose is business, credit_amount is 4712, savings_status is 'no known savings', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is 'life insurance', age is 37, other_payment_plans is bank, housing is own, existing_credits is 2, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 24
 - credit_history : 'delayed previously'
 - purpose : business
 - credit_amount : 4712
 - savings_status : 'no known savings'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 37
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 2
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 24. The credit_history is 'delayed previously'. The purpose is business. The credit_amount is 4712. The savings_status is 'no known savings'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 37. The other_payment_plans is bank. The housing is own. The existing_credits is 2. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>24</td>
      <td>'delayed previously'</td>
      <td>business</td>
      <td>4712</td>
      <td>'no known savings'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>37</td>
      <td>bank</td>
      <td>own</td>
      <td>2</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 24 & 'delayed previously' & business & 4712 & 'no known savings' & '1<=X<4' & 4 & none & 2 & 'life insurance' & 37 & bank & own & 2 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 37, 'checking_status': ""'0<=X<200'"", 'credit_amount': 4712, 'credit_history': ""'delayed previously'"", 'duration': 24, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': 'business', 'residence_since': 2, 'savings_status': ""'no known savings'""}",A 37-year-old male German Foreigner is applying for a loan of 4712 credits for 24 months for business purposes. He has a checking account with less than 200 Deutsche Mark and no known savings. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a bank and 2 credits at this bank. He is employed for more than one year but less than four years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 2 years.  He owns life insurance property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
731,female,'no checking',15,'critical/other existing credit',radio/tv,1459,'<100','1<=X<4',4,none,2,car,43,none,own,1,'unskilled resident',1,none,yes,good,"gender is female, checking_status is 'no checking', duration is 15, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 1459, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is car, age is 43, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 15
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 1459
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 43
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 15. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 1459. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 43. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>15</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>1459</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>43</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 15 & 'critical/other existing credit' & radio/tv & 1459 & '<100' & '1<=X<4' & 4 & none & 2 & car & 43 & none & own & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 43, 'checking_status': ""'no checking'"", 'credit_amount': 1459, 'credit_history': ""'critical/other existing credit'"", 'duration': 15, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 43-year-old female German Foreigner is applying for a loan of 1459 credits for 15 months for radio or tv purposes. She has no checking account and a savings acccount with less than 100 Deutsche Mark. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for more than one year but less than four years and is recognized as an unskilled resident individual. She has lived in a self-owned house for 2 years.  She owns a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
732,male,'no checking',36,'critical/other existing credit','new car',3535,'<100','4<=X<7',4,none,4,car,37,none,own,2,skilled,1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 36, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 3535, savings_status is '<100', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is car, age is 37, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 36
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 3535
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 37
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 36. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 3535. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 37. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>36</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>3535</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>37</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 36 & 'critical/other existing credit' & 'new car' & 3535 & '<100' & '4<=X<7' & 4 & none & 4 & car & 37 & none & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 37, 'checking_status': ""'no checking'"", 'credit_amount': 3535, 'credit_history': ""'critical/other existing credit'"", 'duration': 36, 'employment': ""'4<=X<7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 37-year-old male German Foreigner is applying for a loan of 3535 credits for 36 months for new car purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 4 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
733,male,'no checking',6,'existing paid',radio/tv,1595,'<100','4<=X<7',3,none,2,'life insurance',51,none,own,1,skilled,2,none,yes,good,"gender is male, checking_status is 'no checking', duration is 6, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1595, savings_status is '<100', employment is '4<=X<7', installment_commitment is 3, other_parties is none, residence_since is 2, property_magnitude is 'life insurance', age is 51, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 6
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1595
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 51
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 6. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1595. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 3. The other_parties is none. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 51. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>6</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1595</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>3</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>51</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 6 & 'existing paid' & radio/tv & 1595 & '<100' & '4<=X<7' & 3 & none & 2 & 'life insurance' & 51 & none & own & 1 & skilled & 2 & none & yes \\
\end{tabular}
","{'age': 51, 'checking_status': ""'no checking'"", 'credit_amount': 1595, 'credit_history': ""'existing paid'"", 'duration': 6, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 51-year-old male German Foreigner is applying for a loan of 1595 credits for 6 months for radio or tv purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 1 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 2 years.  He owns life insurance property. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
734,male,'<0',24,'critical/other existing credit','new car',1199,'<100','>=7',4,none,4,car,60,none,own,2,'unskilled resident',1,none,yes,bad,"gender is male, checking_status is '<0', duration is 24, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 1199, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is car, age is 60, other_payment_plans is none, housing is own, existing_credits is 2, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 24
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 1199
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 60
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 24. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 1199. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 60. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>24</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>1199</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>60</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 24 & 'critical/other existing credit' & 'new car' & 1199 & '<100' & '>=7' & 4 & none & 4 & car & 60 & none & own & 2 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 60, 'checking_status': ""'<0'"", 'credit_amount': 1199, 'credit_history': ""'critical/other existing credit'"", 'duration': 24, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 60-year-old male German Foreigner is applying for a loan of 1199 credits for 24 months for new car purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 4 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
735,male,'<0',36,'all paid',furniture/equipment,2746,'<100','>=7',4,none,4,car,31,bank,own,1,skilled,1,none,yes,bad,"gender is male, checking_status is '<0', duration is 36, credit_history is 'all paid', purpose is furniture/equipment, credit_amount is 2746, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is car, age is 31, other_payment_plans is bank, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 36
 - credit_history : 'all paid'
 - purpose : furniture/equipment
 - credit_amount : 2746
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 31
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 36. The credit_history is 'all paid'. The purpose is furniture/equipment. The credit_amount is 2746. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 31. The other_payment_plans is bank. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>36</td>
      <td>'all paid'</td>
      <td>furniture/equipment</td>
      <td>2746</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>31</td>
      <td>bank</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 36 & 'all paid' & furniture/equipment & 2746 & '<100' & '>=7' & 4 & none & 4 & car & 31 & bank & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 31, 'checking_status': ""'<0'"", 'credit_amount': 2746, 'credit_history': ""'all paid'"", 'duration': 36, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'<100'""}",A 31-year-old male German Foreigner is applying for a loan of 2746 credits for 36 months for furniture or equipment purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a bank and 1 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 4 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
736,female,'0<=X<200',7,'existing paid',radio/tv,2329,'<100','<1',1,guarantor,1,'real estate',45,none,own,1,skilled,1,none,yes,good,"gender is female, checking_status is '0<=X<200', duration is 7, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 2329, savings_status is '<100', employment is '<1', installment_commitment is 1, other_parties is guarantor, residence_since is 1, property_magnitude is 'real estate', age is 45, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 7
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 2329
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 1
 - other_parties : guarantor
 - residence_since : 1
 - property_magnitude : 'real estate'
 - age : 45
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 7. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 2329. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 1. The other_parties is guarantor. The residence_since is 1. The property_magnitude is 'real estate'. The age is 45. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>7</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>2329</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>1</td>
      <td>guarantor</td>
      <td>1</td>
      <td>'real estate'</td>
      <td>45</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 7 & 'existing paid' & radio/tv & 2329 & '<100' & '<1' & 1 & guarantor & 1 & 'real estate' & 45 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 45, 'checking_status': ""'0<=X<200'"", 'credit_amount': 2329, 'credit_history': ""'existing paid'"", 'duration': 7, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'guarantor', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 1, 'savings_status': ""'<100'""}",A 45-year-old female German Foreigner is applying for a loan of 2329 credits for 7 months for radio or tv purposes. She has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There is a guarantor associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. She has no other installment plans and 1 credits at this bank. She is employed for less than one years. She has lived in a self-owned house for 1 years.  She owns some real estate property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
737,male,'0<=X<200',18,'critical/other existing credit',furniture/equipment,7374,'<100',unemployed,4,none,4,'life insurance',40,stores,own,2,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is male, checking_status is '0<=X<200', duration is 18, credit_history is 'critical/other existing credit', purpose is furniture/equipment, credit_amount is 7374, savings_status is '<100', employment is unemployed, installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 40, other_payment_plans is stores, housing is own, existing_credits is 2, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 18
 - credit_history : 'critical/other existing credit'
 - purpose : furniture/equipment
 - credit_amount : 7374
 - savings_status : '<100'
 - employment : unemployed
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 40
 - other_payment_plans : stores
 - housing : own
 - existing_credits : 2
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 18. The credit_history is 'critical/other existing credit'. The purpose is furniture/equipment. The credit_amount is 7374. The savings_status is '<100'. The employment is unemployed. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 40. The other_payment_plans is stores. The housing is own. The existing_credits is 2. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>18</td>
      <td>'critical/other existing credit'</td>
      <td>furniture/equipment</td>
      <td>7374</td>
      <td>'&lt;100'</td>
      <td>unemployed</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>40</td>
      <td>stores</td>
      <td>own</td>
      <td>2</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 18 & 'critical/other existing credit' & furniture/equipment & 7374 & '<100' & unemployed & 4 & none & 4 & 'life insurance' & 40 & stores & own & 2 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 40, 'checking_status': ""'0<=X<200'"", 'credit_amount': 7374, 'credit_history': ""'critical/other existing credit'"", 'duration': 18, 'employment': 'unemployed', 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'stores', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'<100'""}",A 40-year-old male German Foreigner is applying for a loan of 7374 credits for 18 months for furniture or equipment purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a store and 2 credits at this bank. He is unemployed and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 4 years.  He owns life insurance property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
738,male,'0<=X<200',48,'existing paid',radio/tv,3060,'<100','4<=X<7',4,none,4,'real estate',28,none,own,2,skilled,1,none,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 48, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 3060, savings_status is '<100', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 28, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 48
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 3060
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 28
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 48. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 3060. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 28. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>48</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>3060</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>28</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 48 & 'existing paid' & radio/tv & 3060 & '<100' & '4<=X<7' & 4 & none & 4 & 'real estate' & 28 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 28, 'checking_status': ""'0<=X<200'"", 'credit_amount': 3060, 'credit_history': ""'existing paid'"", 'duration': 48, 'employment': ""'4<=X<7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'<100'""}",A 28-year-old male German Foreigner is applying for a loan of 3060 credits for 48 months for radio or tv purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 4 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
739,female,'<0',18,'existing paid',furniture/equipment,1131,'<100',unemployed,4,none,2,car,33,none,own,1,skilled,1,none,yes,bad,"gender is female, checking_status is '<0', duration is 18, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 1131, savings_status is '<100', employment is unemployed, installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is car, age is 33, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 1131
 - savings_status : '<100'
 - employment : unemployed
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 33
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 18. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 1131. The savings_status is '<100'. The employment is unemployed. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 33. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>18</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>1131</td>
      <td>'&lt;100'</td>
      <td>unemployed</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>33</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 18 & 'existing paid' & furniture/equipment & 1131 & '<100' & unemployed & 4 & none & 2 & car & 33 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 33, 'checking_status': ""'<0'"", 'credit_amount': 1131, 'credit_history': ""'existing paid'"", 'duration': 18, 'employment': 'unemployed', 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'furniture/equipment', 'residence_since': 2, 'savings_status': ""'<100'""}",A 33-year-old female German Foreigner is applying for a loan of 1131 credits for 18 months for furniture or equipment purposes. She has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is unemployed. She has lived in a self-owned house for 2 years.  She owns a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
740,male,'<0',36,'existing paid',furniture/equipment,5179,'<100','4<=X<7',4,none,2,'life insurance',29,none,own,1,skilled,1,none,yes,bad,"gender is male, checking_status is '<0', duration is 36, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 5179, savings_status is '<100', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is 'life insurance', age is 29, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 36
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 5179
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 29
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 36. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 5179. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 29. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>36</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>5179</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>29</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 36 & 'existing paid' & furniture/equipment & 5179 & '<100' & '4<=X<7' & 4 & none & 2 & 'life insurance' & 29 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 29, 'checking_status': ""'<0'"", 'credit_amount': 5179, 'credit_history': ""'existing paid'"", 'duration': 36, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 2, 'savings_status': ""'<100'""}",A 29-year-old male German Foreigner is applying for a loan of 5179 credits for 36 months for furniture or equipment purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 2 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
741,male,'<0',18,'existing paid',radio/tv,1936,'no known savings','4<=X<7',2,none,4,car,23,none,rent,2,'unskilled resident',1,none,yes,good,"gender is male, checking_status is '<0', duration is 18, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1936, savings_status is 'no known savings', employment is '4<=X<7', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is car, age is 23, other_payment_plans is none, housing is rent, existing_credits is 2, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1936
 - savings_status : 'no known savings'
 - employment : '4<=X<7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 23
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 2
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 18. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1936. The savings_status is 'no known savings'. The employment is '4<=X<7'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 23. The other_payment_plans is none. The housing is rent. The existing_credits is 2. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>18</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1936</td>
      <td>'no known savings'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>23</td>
      <td>none</td>
      <td>rent</td>
      <td>2</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 18 & 'existing paid' & radio/tv & 1936 & 'no known savings' & '4<=X<7' & 2 & none & 4 & car & 23 & none & rent & 2 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 23, 'checking_status': ""'<0'"", 'credit_amount': 1936, 'credit_history': ""'existing paid'"", 'duration': 18, 'employment': ""'4<=X<7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 2, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 23-year-old male German Foreigner is applying for a loan of 1936 credits for 18 months for radio or tv purposes. He has a checking account with 0 Deutsche Mark and no known savings. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 2 credits at this bank. He is employed for more than four years but less than seven years and is recognized as an unskilled resident individual. He has lived in a rented apartment for 4 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
742,male,'<0',30,'no credits/all paid',furniture/equipment,4583,'<100','1<=X<4',2,guarantor,2,'real estate',32,none,own,2,skilled,1,none,yes,good,"gender is male, checking_status is '<0', duration is 30, credit_history is 'no credits/all paid', purpose is furniture/equipment, credit_amount is 4583, savings_status is '<100', employment is '1<=X<4', installment_commitment is 2, other_parties is guarantor, residence_since is 2, property_magnitude is 'real estate', age is 32, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 30
 - credit_history : 'no credits/all paid'
 - purpose : furniture/equipment
 - credit_amount : 4583
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : guarantor
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 32
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 30. The credit_history is 'no credits/all paid'. The purpose is furniture/equipment. The credit_amount is 4583. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is guarantor. The residence_since is 2. The property_magnitude is 'real estate'. The age is 32. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>30</td>
      <td>'no credits/all paid'</td>
      <td>furniture/equipment</td>
      <td>4583</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>guarantor</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>32</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 30 & 'no credits/all paid' & furniture/equipment & 4583 & '<100' & '1<=X<4' & 2 & guarantor & 2 & 'real estate' & 32 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 32, 'checking_status': ""'<0'"", 'credit_amount': 4583, 'credit_history': ""'no credits/all paid'"", 'duration': 30, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'guarantor', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'furniture/equipment', 'residence_since': 2, 'savings_status': ""'<100'""}",A 32-year-old male German Foreigner is applying for a loan of 4583 credits for 30 months for furniture or equipment purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He did not take any credits at this bank or has duly paid back all credits at this bank. There is a guarantor associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 2 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 2 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
743,male,'<0',36,'existing paid',other,15857,'<100',unemployed,2,'co applicant',3,car,43,none,own,1,'high qualif/self emp/mgmt',1,none,yes,good,"gender is male, checking_status is '<0', duration is 36, credit_history is 'existing paid', purpose is other, credit_amount is 15857, savings_status is '<100', employment is unemployed, installment_commitment is 2, other_parties is 'co applicant', residence_since is 3, property_magnitude is car, age is 43, other_payment_plans is none, housing is own, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 36
 - credit_history : 'existing paid'
 - purpose : other
 - credit_amount : 15857
 - savings_status : '<100'
 - employment : unemployed
 - installment_commitment : 2
 - other_parties : 'co applicant'
 - residence_since : 3
 - property_magnitude : car
 - age : 43
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 36. The credit_history is 'existing paid'. The purpose is other. The credit_amount is 15857. The savings_status is '<100'. The employment is unemployed. The installment_commitment is 2. The other_parties is 'co applicant'. The residence_since is 3. The property_magnitude is car. The age is 43. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>36</td>
      <td>'existing paid'</td>
      <td>other</td>
      <td>15857</td>
      <td>'&lt;100'</td>
      <td>unemployed</td>
      <td>2</td>
      <td>'co applicant'</td>
      <td>3</td>
      <td>car</td>
      <td>43</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 36 & 'existing paid' & other & 15857 & '<100' & unemployed & 2 & 'co applicant' & 3 & car & 43 & none & own & 1 & 'high qualif/self emp/mgmt' & 1 & none & yes \\
\end{tabular}
","{'age': 43, 'checking_status': ""'<0'"", 'credit_amount': 15857, 'credit_history': ""'existing paid'"", 'duration': 36, 'employment': 'unemployed', 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': ""'co applicant'"", 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'other', 'residence_since': 3, 'savings_status': ""'<100'""}",A 43-year-old male German Foreigner is applying for a loan of 15857 credits for 36 months for other purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There co-applicant associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is unemployed and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 3 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
744,male,'no checking',12,'critical/other existing credit','new car',1163,'500<=X<1000','1<=X<4',4,none,4,'real estate',44,none,own,1,skilled,1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 12, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 1163, savings_status is '500<=X<1000', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 44, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 1163
 - savings_status : '500<=X<1000'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 44
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 12. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 1163. The savings_status is '500<=X<1000'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 44. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>12</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>1163</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>44</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 12 & 'critical/other existing credit' & 'new car' & 1163 & '500<=X<1000' & '1<=X<4' & 4 & none & 4 & 'real estate' & 44 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 44, 'checking_status': ""'no checking'"", 'credit_amount': 1163, 'credit_history': ""'critical/other existing credit'"", 'duration': 12, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'500<=X<1000'""}",A 44-year-old male German Foreigner is applying for a loan of 1163 credits for 12 months for new car purposes. He has no checking account and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 4 years.  He owns some real estate property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
745,male,'0<=X<200',30,'critical/other existing credit',furniture/equipment,8386,'<100','4<=X<7',2,none,2,'life insurance',49,none,own,1,skilled,1,none,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 30, credit_history is 'critical/other existing credit', purpose is furniture/equipment, credit_amount is 8386, savings_status is '<100', employment is '4<=X<7', installment_commitment is 2, other_parties is none, residence_since is 2, property_magnitude is 'life insurance', age is 49, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 30
 - credit_history : 'critical/other existing credit'
 - purpose : furniture/equipment
 - credit_amount : 8386
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 49
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 30. The credit_history is 'critical/other existing credit'. The purpose is furniture/equipment. The credit_amount is 8386. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 2. The other_parties is none. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 49. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>30</td>
      <td>'critical/other existing credit'</td>
      <td>furniture/equipment</td>
      <td>8386</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>2</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>49</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 30 & 'critical/other existing credit' & furniture/equipment & 8386 & '<100' & '4<=X<7' & 2 & none & 2 & 'life insurance' & 49 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 49, 'checking_status': ""'0<=X<200'"", 'credit_amount': 8386, 'credit_history': ""'critical/other existing credit'"", 'duration': 30, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 2, 'savings_status': ""'<100'""}",A 49-year-old male German Foreigner is applying for a loan of 8386 credits for 30 months for furniture or equipment purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 2 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
746,female,'<0',24,'existing paid','new car',1207,'<100','<1',4,none,4,'life insurance',24,none,rent,1,skilled,1,none,yes,bad,"gender is female, checking_status is '<0', duration is 24, credit_history is 'existing paid', purpose is 'new car', credit_amount is 1207, savings_status is '<100', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 24, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 1207
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 24
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 24. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 1207. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 24. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>1207</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>24</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 24 & 'existing paid' & 'new car' & 1207 & '<100' & '<1' & 4 & none & 4 & 'life insurance' & 24 & none & rent & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 24, 'checking_status': ""'<0'"", 'credit_amount': 1207, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 24-year-old female German Foreigner is applying for a loan of 1207 credits for 24 months for new car purposes. She has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for less than one years. She has lived in a rented apartment for 4 years.  She owns life insurance property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
747,female,'<0',18,'existing paid','new car',1216,'<100','<1',4,none,3,car,23,none,rent,1,skilled,1,yes,yes,bad,"gender is female, checking_status is '<0', duration is 18, credit_history is 'existing paid', purpose is 'new car', credit_amount is 1216, savings_status is '<100', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 3, property_magnitude is car, age is 23, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 1216
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : car
 - age : 23
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 18. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 1216. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 3. The property_magnitude is car. The age is 23. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>18</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>1216</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>car</td>
      <td>23</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 18 & 'existing paid' & 'new car' & 1216 & '<100' & '<1' & 4 & none & 3 & car & 23 & none & rent & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 23, 'checking_status': ""'<0'"", 'credit_amount': 1216, 'credit_history': ""'existing paid'"", 'duration': 18, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 3, 'savings_status': ""'<100'""}",A 23-year-old female German Foreigner is applying for a loan of 1216 credits for 18 months for new car purposes. She has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for less than one years. She has lived in a rented apartment for 3 years.  She owns a car. She owns a telephone and has 1 person that she is liable to provide maintenance for.
748,female,'no checking',12,'critical/other existing credit',business,1185,'<100','1<=X<4',3,none,2,'real estate',27,none,own,2,skilled,1,none,yes,good,"gender is female, checking_status is 'no checking', duration is 12, credit_history is 'critical/other existing credit', purpose is business, credit_amount is 1185, savings_status is '<100', employment is '1<=X<4', installment_commitment is 3, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 27, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'critical/other existing credit'
 - purpose : business
 - credit_amount : 1185
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 27
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 12. The credit_history is 'critical/other existing credit'. The purpose is business. The credit_amount is 1185. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 3. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 27. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>12</td>
      <td>'critical/other existing credit'</td>
      <td>business</td>
      <td>1185</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>3</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>27</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 12 & 'critical/other existing credit' & business & 1185 & '<100' & '1<=X<4' & 3 & none & 2 & 'real estate' & 27 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 27, 'checking_status': ""'no checking'"", 'credit_amount': 1185, 'credit_history': ""'critical/other existing credit'"", 'duration': 12, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'business', 'residence_since': 2, 'savings_status': ""'<100'""}",A 27-year-old female German Foreigner is applying for a loan of 1185 credits for 12 months for business purposes. She has no checking account and a savings acccount with less than 100 Deutsche Mark. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. She has no other installment plans and 2 credits at this bank. She is employed for more than one year but less than four years. She has lived in a self-owned house for 2 years.  She owns some real estate property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
749,male,'<0',12,'existing paid','new car',1372,'<100','4<=X<7',2,none,3,car,36,none,own,1,skilled,1,none,yes,bad,"gender is male, checking_status is '<0', duration is 12, credit_history is 'existing paid', purpose is 'new car', credit_amount is 1372, savings_status is '<100', employment is '4<=X<7', installment_commitment is 2, other_parties is none, residence_since is 3, property_magnitude is car, age is 36, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 1372
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 3
 - property_magnitude : car
 - age : 36
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 12. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 1372. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 2. The other_parties is none. The residence_since is 3. The property_magnitude is car. The age is 36. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>1372</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>2</td>
      <td>none</td>
      <td>3</td>
      <td>car</td>
      <td>36</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 12 & 'existing paid' & 'new car' & 1372 & '<100' & '4<=X<7' & 2 & none & 3 & car & 36 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 36, 'checking_status': ""'<0'"", 'credit_amount': 1372, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 3, 'savings_status': ""'<100'""}",A 36-year-old male German Foreigner is applying for a loan of 1372 credits for 12 months for new car purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 3 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
750,female,'0<=X<200',11,'critical/other existing credit','new car',1322,'>=1000','1<=X<4',4,none,4,car,40,none,own,2,skilled,1,none,yes,good,"gender is female, checking_status is '0<=X<200', duration is 11, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 1322, savings_status is '>=1000', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is car, age is 40, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 11
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 1322
 - savings_status : '>=1000'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 40
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 11. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 1322. The savings_status is '>=1000'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 40. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>11</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>1322</td>
      <td>'&gt;=1000'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>40</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 11 & 'critical/other existing credit' & 'new car' & 1322 & '>=1000' & '1<=X<4' & 4 & none & 4 & car & 40 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 40, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1322, 'credit_history': ""'critical/other existing credit'"", 'duration': 11, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'>=1000'""}",A 40-year-old female German Foreigner is applying for a loan of 1322 credits for 11 months for new car purposes. She has a checking account with less than 200 Deutsche Mark and a savings with 1000 Deutsche Mark or more. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 2 credits at this bank. She is employed for more than one year but less than four years. She has lived in a self-owned house for 4 years.  She owns a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
751,female,'>=200',6,'delayed previously',radio/tv,683,'<100','<1',2,none,1,'life insurance',29,bank,own,1,skilled,1,none,yes,good,"gender is female, checking_status is '>=200', duration is 6, credit_history is 'delayed previously', purpose is radio/tv, credit_amount is 683, savings_status is '<100', employment is '<1', installment_commitment is 2, other_parties is none, residence_since is 1, property_magnitude is 'life insurance', age is 29, other_payment_plans is bank, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '>=200'
 - duration : 6
 - credit_history : 'delayed previously'
 - purpose : radio/tv
 - credit_amount : 683
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'life insurance'
 - age : 29
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '>=200'. The duration is 6. The credit_history is 'delayed previously'. The purpose is radio/tv. The credit_amount is 683. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 2. The other_parties is none. The residence_since is 1. The property_magnitude is 'life insurance'. The age is 29. The other_payment_plans is bank. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&gt;=200'</td>
      <td>6</td>
      <td>'delayed previously'</td>
      <td>radio/tv</td>
      <td>683</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>2</td>
      <td>none</td>
      <td>1</td>
      <td>'life insurance'</td>
      <td>29</td>
      <td>bank</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '>=200' & 6 & 'delayed previously' & radio/tv & 683 & '<100' & '<1' & 2 & none & 1 & 'life insurance' & 29 & bank & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 29, 'checking_status': ""'>=200'"", 'credit_amount': 683, 'credit_history': ""'delayed previously'"", 'duration': 6, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'radio/tv', 'residence_since': 1, 'savings_status': ""'<100'""}",A 29-year-old female German Foreigner is applying for a loan of 683 credits for 6 months for radio or tv purposes. She has a checking account with 200 Deutsche Mark or more and a savings acccount with less than 100 Deutsche Mark. She has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has other installment plans with a bank and 1 credits at this bank. She is employed for less than one years. She has lived in a self-owned house for 1 years.  She owns life insurance property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
752,male,'>=200',10,'critical/other existing credit',radio/tv,1347,'no known savings','4<=X<7',4,none,2,'life insurance',27,none,own,2,skilled,1,yes,yes,good,"gender is male, checking_status is '>=200', duration is 10, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 1347, savings_status is 'no known savings', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is 'life insurance', age is 27, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '>=200'
 - duration : 10
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 1347
 - savings_status : 'no known savings'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 27
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '>=200'. The duration is 10. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 1347. The savings_status is 'no known savings'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 27. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&gt;=200'</td>
      <td>10</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>1347</td>
      <td>'no known savings'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>27</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '>=200' & 10 & 'critical/other existing credit' & radio/tv & 1347 & 'no known savings' & '4<=X<7' & 4 & none & 2 & 'life insurance' & 27 & none & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 27, 'checking_status': ""'>=200'"", 'credit_amount': 1347, 'credit_history': ""'critical/other existing credit'"", 'duration': 10, 'employment': ""'4<=X<7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'no known savings'""}",A 27-year-old male German Foreigner is applying for a loan of 1347 credits for 10 months for radio or tv purposes. He has a checking account with 200 Deutsche Mark or more and no known savings. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 2 years.  He owns life insurance property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
753,female,'0<=X<200',18,'no credits/all paid',furniture/equipment,3244,'<100','1<=X<4',1,none,4,car,33,bank,own,2,skilled,1,yes,yes,good,"gender is female, checking_status is '0<=X<200', duration is 18, credit_history is 'no credits/all paid', purpose is furniture/equipment, credit_amount is 3244, savings_status is '<100', employment is '1<=X<4', installment_commitment is 1, other_parties is none, residence_since is 4, property_magnitude is car, age is 33, other_payment_plans is bank, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 18
 - credit_history : 'no credits/all paid'
 - purpose : furniture/equipment
 - credit_amount : 3244
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 33
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 18. The credit_history is 'no credits/all paid'. The purpose is furniture/equipment. The credit_amount is 3244. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 1. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 33. The other_payment_plans is bank. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>18</td>
      <td>'no credits/all paid'</td>
      <td>furniture/equipment</td>
      <td>3244</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>1</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>33</td>
      <td>bank</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 18 & 'no credits/all paid' & furniture/equipment & 3244 & '<100' & '1<=X<4' & 1 & none & 4 & car & 33 & bank & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 33, 'checking_status': ""'0<=X<200'"", 'credit_amount': 3244, 'credit_history': ""'no credits/all paid'"", 'duration': 18, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'<100'""}",A 33-year-old female German Foreigner is applying for a loan of 3244 credits for 18 months for furniture or equipment purposes. She has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She did not take any credits at this bank or has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. She has other installment plans with a bank and 2 credits at this bank. She is employed for more than one year but less than four years. She has lived in a self-owned house for 4 years.  She owns a car. She owns a telephone and has 1 person that she is liable to provide maintenance for.
754,male,'0<=X<200',12,'no credits/all paid',retraining,1410,'<100','1<=X<4',2,none,2,'real estate',31,none,own,1,'unskilled resident',1,yes,yes,good,"gender is male, checking_status is '0<=X<200', duration is 12, credit_history is 'no credits/all paid', purpose is retraining, credit_amount is 1410, savings_status is '<100', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 31, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 12
 - credit_history : 'no credits/all paid'
 - purpose : retraining
 - credit_amount : 1410
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 31
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 12. The credit_history is 'no credits/all paid'. The purpose is retraining. The credit_amount is 1410. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 31. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>12</td>
      <td>'no credits/all paid'</td>
      <td>retraining</td>
      <td>1410</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>31</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 12 & 'no credits/all paid' & retraining & 1410 & '<100' & '1<=X<4' & 2 & none & 2 & 'real estate' & 31 & none & own & 1 & 'unskilled resident' & 1 & yes & yes \\
\end{tabular}
","{'age': 31, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1410, 'credit_history': ""'no credits/all paid'"", 'duration': 12, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': 'retraining', 'residence_since': 2, 'savings_status': ""'<100'""}",A 31-year-old male German Foreigner is applying for a loan of 1410 credits for 12 months for retraining purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He did not take any credits at this bank or has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 2 years.  He owns some real estate property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
755,male,'>=200',15,'existing paid',education,1905,'<100','>=7',4,none,4,car,40,none,rent,1,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is male, checking_status is '>=200', duration is 15, credit_history is 'existing paid', purpose is education, credit_amount is 1905, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is car, age is 40, other_payment_plans is none, housing is rent, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '>=200'
 - duration : 15
 - credit_history : 'existing paid'
 - purpose : education
 - credit_amount : 1905
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 40
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '>=200'. The duration is 15. The credit_history is 'existing paid'. The purpose is education. The credit_amount is 1905. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 40. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&gt;=200'</td>
      <td>15</td>
      <td>'existing paid'</td>
      <td>education</td>
      <td>1905</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>40</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '>=200' & 15 & 'existing paid' & education & 1905 & '<100' & '>=7' & 4 & none & 4 & car & 40 & none & rent & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 40, 'checking_status': ""'>=200'"", 'credit_amount': 1905, 'credit_history': ""'existing paid'"", 'duration': 15, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'education', 'residence_since': 4, 'savings_status': ""'<100'""}",A 40-year-old male German Foreigner is applying for a loan of 1905 credits for 15 months for education purposes. He has a checking account with 200 Deutsche Mark or more and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a rented apartment for 4 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
756,female,'<0',18,'no credits/all paid',furniture/equipment,3114,'<100','<1',1,none,4,'life insurance',26,none,rent,1,skilled,1,none,yes,bad,"gender is female, checking_status is '<0', duration is 18, credit_history is 'no credits/all paid', purpose is furniture/equipment, credit_amount is 3114, savings_status is '<100', employment is '<1', installment_commitment is 1, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 26, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 18
 - credit_history : 'no credits/all paid'
 - purpose : furniture/equipment
 - credit_amount : 3114
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 26
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 18. The credit_history is 'no credits/all paid'. The purpose is furniture/equipment. The credit_amount is 3114. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 1. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 26. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>18</td>
      <td>'no credits/all paid'</td>
      <td>furniture/equipment</td>
      <td>3114</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>1</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>26</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 18 & 'no credits/all paid' & furniture/equipment & 3114 & '<100' & '<1' & 1 & none & 4 & 'life insurance' & 26 & none & rent & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 26, 'checking_status': ""'<0'"", 'credit_amount': 3114, 'credit_history': ""'no credits/all paid'"", 'duration': 18, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'<100'""}",A 26-year-old female German Foreigner is applying for a loan of 3114 credits for 18 months for furniture or equipment purposes. She has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She did not take any credits at this bank or has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. She has no other installment plans and 1 credits at this bank. She is employed for less than one years. She has lived in a rented apartment for 4 years.  She owns life insurance property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
757,male,'no checking',12,'existing paid',radio/tv,2279,'no known savings','1<=X<4',4,none,4,'no known property',37,none,'for free',1,skilled,1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 12, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 2279, savings_status is 'no known savings', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 37, other_payment_plans is none, housing is 'for free', existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 2279
 - savings_status : 'no known savings'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 37
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 12. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 2279. The savings_status is 'no known savings'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 37. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>2279</td>
      <td>'no known savings'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>37</td>
      <td>none</td>
      <td>'for free'</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 12 & 'existing paid' & radio/tv & 2279 & 'no known savings' & '1<=X<4' & 4 & none & 4 & 'no known property' & 37 & none & 'for free' & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 37, 'checking_status': ""'no checking'"", 'credit_amount': 2279, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 37-year-old male German Foreigner is applying for a loan of 2279 credits for 12 months for radio or tv purposes. He has no checking account and no known savings. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a free accommodation for 4 years.  He owns no known property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
758,male,'<0',12,'existing paid','new car',759,'<100','4<=X<7',4,none,2,'real estate',26,none,own,1,skilled,1,none,yes,bad,"gender is male, checking_status is '<0', duration is 12, credit_history is 'existing paid', purpose is 'new car', credit_amount is 759, savings_status is '<100', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 26, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 759
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 26
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 12. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 759. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 26. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>759</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>26</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 12 & 'existing paid' & 'new car' & 759 & '<100' & '4<=X<7' & 4 & none & 2 & 'real estate' & 26 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 26, 'checking_status': ""'<0'"", 'credit_amount': 759, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'<100'""}",A 26-year-old male German Foreigner is applying for a loan of 759 credits for 12 months for new car purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 2 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
759,female,'>=200',18,'existing paid','new car',1961,'<100','>=7',3,none,2,car,23,none,own,1,'high qualif/self emp/mgmt',1,none,yes,good,"gender is female, checking_status is '>=200', duration is 18, credit_history is 'existing paid', purpose is 'new car', credit_amount is 1961, savings_status is '<100', employment is '>=7', installment_commitment is 3, other_parties is none, residence_since is 2, property_magnitude is car, age is 23, other_payment_plans is none, housing is own, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '>=200'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 1961
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 23
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '>=200'. The duration is 18. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 1961. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 3. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 23. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&gt;=200'</td>
      <td>18</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>1961</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>3</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>23</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '>=200' & 18 & 'existing paid' & 'new car' & 1961 & '<100' & '>=7' & 3 & none & 2 & car & 23 & none & own & 1 & 'high qualif/self emp/mgmt' & 1 & none & yes \\
\end{tabular}
","{'age': 23, 'checking_status': ""'>=200'"", 'credit_amount': 1961, 'credit_history': ""'existing paid'"", 'duration': 18, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 3, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'<100'""}",A 23-year-old female German Foreigner is applying for a loan of 1961 credits for 18 months for new car purposes. She has a checking account with 200 Deutsche Mark or more and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. She has no other installment plans and 1 credits at this bank. She is employed for more than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. She has lived in a self-owned house for 2 years.  She owns a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
760,male,'0<=X<200',18,'critical/other existing credit',radio/tv,1245,'<100','1<=X<4',4,none,2,car,33,none,own,1,skilled,1,none,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 18, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 1245, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is car, age is 33, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 18
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 1245
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 33
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 18. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 1245. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 33. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>18</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>1245</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>33</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 18 & 'critical/other existing credit' & radio/tv & 1245 & '<100' & '1<=X<4' & 4 & none & 2 & car & 33 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 33, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1245, 'credit_history': ""'critical/other existing credit'"", 'duration': 18, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 33-year-old male German Foreigner is applying for a loan of 1245 credits for 18 months for radio or tv purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 2 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
761,male,'<0',24,'existing paid','used car',2964,'no known savings','>=7',4,none,4,'no known property',49,bank,'for free',1,skilled,2,yes,yes,good,"gender is male, checking_status is '<0', duration is 24, credit_history is 'existing paid', purpose is 'used car', credit_amount is 2964, savings_status is 'no known savings', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 49, other_payment_plans is bank, housing is 'for free', existing_credits is 1, job is skilled, num_dependents is 2, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : 'used car'
 - credit_amount : 2964
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 49
 - other_payment_plans : bank
 - housing : 'for free'
 - existing_credits : 1
 - job : skilled
 - num_dependents : 2
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 24. The credit_history is 'existing paid'. The purpose is 'used car'. The credit_amount is 2964. The savings_status is 'no known savings'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 49. The other_payment_plans is bank. The housing is 'for free'. The existing_credits is 1. The job is skilled. The num_dependents is 2. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>'used car'</td>
      <td>2964</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>49</td>
      <td>bank</td>
      <td>'for free'</td>
      <td>1</td>
      <td>skilled</td>
      <td>2</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 24 & 'existing paid' & 'used car' & 2964 & 'no known savings' & '>=7' & 4 & none & 4 & 'no known property' & 49 & bank & 'for free' & 1 & skilled & 2 & yes & yes \\
\end{tabular}
","{'age': 49, 'checking_status': ""'<0'"", 'credit_amount': 2964, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 49-year-old male German Foreigner is applying for a loan of 2964 credits for 24 months for used car purposes. He has a checking account with 0 Deutsche Mark and no known savings. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a bank and 1 credits at this bank. He is employed for more than seven years. He has lived in a free accommodation for 4 years.  He owns no known property. He owns a telephone and has 2 people that he is liable to provide maintenance for.
762,female,'no checking',10,'existing paid',retraining,894,'no known savings','4<=X<7',4,none,3,'life insurance',40,none,own,1,skilled,1,yes,yes,good,"gender is female, checking_status is 'no checking', duration is 10, credit_history is 'existing paid', purpose is retraining, credit_amount is 894, savings_status is 'no known savings', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 3, property_magnitude is 'life insurance', age is 40, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 10
 - credit_history : 'existing paid'
 - purpose : retraining
 - credit_amount : 894
 - savings_status : 'no known savings'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'life insurance'
 - age : 40
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 10. The credit_history is 'existing paid'. The purpose is retraining. The credit_amount is 894. The savings_status is 'no known savings'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is none. The residence_since is 3. The property_magnitude is 'life insurance'. The age is 40. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>10</td>
      <td>'existing paid'</td>
      <td>retraining</td>
      <td>894</td>
      <td>'no known savings'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>'life insurance'</td>
      <td>40</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 10 & 'existing paid' & retraining & 894 & 'no known savings' & '4<=X<7' & 4 & none & 3 & 'life insurance' & 40 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 40, 'checking_status': ""'no checking'"", 'credit_amount': 894, 'credit_history': ""'existing paid'"", 'duration': 10, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': 'retraining', 'residence_since': 3, 'savings_status': ""'no known savings'""}",A 40-year-old female German Foreigner is applying for a loan of 894 credits for 10 months for retraining purposes. She has no checking account and no known savings. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for more than four years but less than seven years. She has lived in a self-owned house for 3 years.  She owns life insurance property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
763,female,'<0',12,'existing paid','new car',1274,'<100','<1',3,none,1,'real estate',37,none,own,1,'unskilled resident',1,none,yes,bad,"gender is female, checking_status is '<0', duration is 12, credit_history is 'existing paid', purpose is 'new car', credit_amount is 1274, savings_status is '<100', employment is '<1', installment_commitment is 3, other_parties is none, residence_since is 1, property_magnitude is 'real estate', age is 37, other_payment_plans is none, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 1274
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'real estate'
 - age : 37
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 12. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 1274. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 3. The other_parties is none. The residence_since is 1. The property_magnitude is 'real estate'. The age is 37. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>1274</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>3</td>
      <td>none</td>
      <td>1</td>
      <td>'real estate'</td>
      <td>37</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 12 & 'existing paid' & 'new car' & 1274 & '<100' & '<1' & 3 & none & 1 & 'real estate' & 37 & none & own & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 37, 'checking_status': ""'<0'"", 'credit_amount': 1274, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 3, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 1, 'savings_status': ""'<100'""}",A 37-year-old female German Foreigner is applying for a loan of 1274 credits for 12 months for new car purposes. She has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. She has no other installment plans and 1 credits at this bank. She is employed for less than one years and is recognized as an unskilled resident individual. She has lived in a self-owned house for 1 years.  She owns some real estate property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
764,female,'0<=X<200',30,'existing paid','new car',2150,'<100','1<=X<4',4,guarantor,2,'no known property',24,bank,own,1,skilled,1,none,yes,bad,"gender is female, checking_status is '0<=X<200', duration is 30, credit_history is 'existing paid', purpose is 'new car', credit_amount is 2150, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is guarantor, residence_since is 2, property_magnitude is 'no known property', age is 24, other_payment_plans is bank, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 30
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 2150
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : guarantor
 - residence_since : 2
 - property_magnitude : 'no known property'
 - age : 24
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 30. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 2150. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is guarantor. The residence_since is 2. The property_magnitude is 'no known property'. The age is 24. The other_payment_plans is bank. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>30</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>2150</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>guarantor</td>
      <td>2</td>
      <td>'no known property'</td>
      <td>24</td>
      <td>bank</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 30 & 'existing paid' & 'new car' & 2150 & '<100' & '1<=X<4' & 4 & guarantor & 2 & 'no known property' & 24 & bank & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 24, 'checking_status': ""'0<=X<200'"", 'credit_amount': 2150, 'credit_history': ""'existing paid'"", 'duration': 30, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'guarantor', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': ""'no known property'"", 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'<100'""}",A 24-year-old female German Foreigner is applying for a loan of 2150 credits for 30 months for new car purposes. She has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There is a guarantor associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has other installment plans with a bank and 1 credits at this bank. She is employed for more than one year but less than four years. She has lived in a self-owned house for 2 years.  She owns no known property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
765,male,'<0',6,'existing paid',radio/tv,2647,'500<=X<1000','1<=X<4',2,none,3,'real estate',44,none,rent,1,skilled,2,none,yes,good,"gender is male, checking_status is '<0', duration is 6, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 2647, savings_status is '500<=X<1000', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 3, property_magnitude is 'real estate', age is 44, other_payment_plans is none, housing is rent, existing_credits is 1, job is skilled, num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 6
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 2647
 - savings_status : '500<=X<1000'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'real estate'
 - age : 44
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 6. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 2647. The savings_status is '500<=X<1000'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 3. The property_magnitude is 'real estate'. The age is 44. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is skilled. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>6</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>2647</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>3</td>
      <td>'real estate'</td>
      <td>44</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>skilled</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 6 & 'existing paid' & radio/tv & 2647 & '500<=X<1000' & '1<=X<4' & 2 & none & 3 & 'real estate' & 44 & none & rent & 1 & skilled & 2 & none & yes \\
\end{tabular}
","{'age': 44, 'checking_status': ""'<0'"", 'credit_amount': 2647, 'credit_history': ""'existing paid'"", 'duration': 6, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 3, 'savings_status': ""'500<=X<1000'""}",A 44-year-old male German Foreigner is applying for a loan of 2647 credits for 6 months for radio or tv purposes. He has a checking account with 0 Deutsche Mark and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a rented apartment for 3 years.  He owns some real estate property. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
766,male,'0<=X<200',12,'existing paid','new car',685,'<100','4<=X<7',2,none,3,car,25,bank,own,1,'unskilled resident',1,none,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 12, credit_history is 'existing paid', purpose is 'new car', credit_amount is 685, savings_status is '<100', employment is '4<=X<7', installment_commitment is 2, other_parties is none, residence_since is 3, property_magnitude is car, age is 25, other_payment_plans is bank, housing is own, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 685
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 3
 - property_magnitude : car
 - age : 25
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 12. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 685. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 2. The other_parties is none. The residence_since is 3. The property_magnitude is car. The age is 25. The other_payment_plans is bank. The housing is own. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>685</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>2</td>
      <td>none</td>
      <td>3</td>
      <td>car</td>
      <td>25</td>
      <td>bank</td>
      <td>own</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 12 & 'existing paid' & 'new car' & 685 & '<100' & '4<=X<7' & 2 & none & 3 & car & 25 & bank & own & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 25, 'checking_status': ""'0<=X<200'"", 'credit_amount': 685, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 3, 'savings_status': ""'<100'""}",A 25-year-old male German Foreigner is applying for a loan of 685 credits for 12 months for new car purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has other installment plans with a bank and 1 credits at this bank. He is employed for more than four years but less than seven years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 3 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
767,male,'no checking',18,'existing paid',radio/tv,4594,'<100','<1',3,none,2,car,32,none,own,1,skilled,1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 18, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 4594, savings_status is '<100', employment is '<1', installment_commitment is 3, other_parties is none, residence_since is 2, property_magnitude is car, age is 32, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 4594
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 32
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 18. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 4594. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 3. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 32. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>18</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>4594</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>3</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>32</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 18 & 'existing paid' & radio/tv & 4594 & '<100' & '<1' & 3 & none & 2 & car & 32 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 32, 'checking_status': ""'no checking'"", 'credit_amount': 4594, 'credit_history': ""'existing paid'"", 'duration': 18, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 32-year-old male German Foreigner is applying for a loan of 4594 credits for 18 months for radio or tv purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 1 credits at this bank. He is employed for less than one years. He has lived in a self-owned house for 2 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
768,male,'no checking',24,'critical/other existing credit',radio/tv,2872,'100<=X<500','>=7',3,none,4,'real estate',36,none,own,1,skilled,2,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 2872, savings_status is '100<=X<500', employment is '>=7', installment_commitment is 3, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 36, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 2, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 2872
 - savings_status : '100<=X<500'
 - employment : '>=7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 36
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 2
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 24. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 2872. The savings_status is '100<=X<500'. The employment is '>=7'. The installment_commitment is 3. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 36. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 2. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>2872</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'&gt;=7'</td>
      <td>3</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>36</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>2</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 24 & 'critical/other existing credit' & radio/tv & 2872 & '100<=X<500' & '>=7' & 3 & none & 4 & 'real estate' & 36 & none & own & 1 & skilled & 2 & yes & yes \\
\end{tabular}
","{'age': 36, 'checking_status': ""'no checking'"", 'credit_amount': 2872, 'credit_history': ""'critical/other existing credit'"", 'duration': 24, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'100<=X<500'""}",A 36-year-old male German Foreigner is applying for a loan of 2872 credits for 24 months for radio or tv purposes. He has no checking account and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 4 years.  He owns some real estate property. He owns a telephone and has 2 people that he is liable to provide maintenance for.
769,female,'no checking',18,'critical/other existing credit',radio/tv,2404,'<100','1<=X<4',2,none,2,car,26,none,own,2,skilled,1,none,yes,good,"gender is female, checking_status is 'no checking', duration is 18, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 2404, savings_status is '<100', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 2, property_magnitude is car, age is 26, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 18
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 2404
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 26
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 18. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 2404. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 26. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>18</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>2404</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>26</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 18 & 'critical/other existing credit' & radio/tv & 2404 & '<100' & '1<=X<4' & 2 & none & 2 & car & 26 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 26, 'checking_status': ""'no checking'"", 'credit_amount': 2404, 'credit_history': ""'critical/other existing credit'"", 'duration': 18, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 26-year-old female German Foreigner is applying for a loan of 2404 credits for 18 months for radio or tv purposes. She has no checking account and a savings acccount with less than 100 Deutsche Mark. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has no other installment plans and 2 credits at this bank. She is employed for more than one year but less than four years. She has lived in a self-owned house for 2 years.  She owns a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
770,female,'<0',24,'critical/other existing credit',radio/tv,1231,'>=1000','>=7',4,none,4,'life insurance',57,none,rent,2,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is female, checking_status is '<0', duration is 24, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 1231, savings_status is '>=1000', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 57, other_payment_plans is none, housing is rent, existing_credits is 2, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 24
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 1231
 - savings_status : '>=1000'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 57
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 2
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 24. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 1231. The savings_status is '>=1000'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 57. The other_payment_plans is none. The housing is rent. The existing_credits is 2. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>24</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>1231</td>
      <td>'&gt;=1000'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>57</td>
      <td>none</td>
      <td>rent</td>
      <td>2</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 24 & 'critical/other existing credit' & radio/tv & 1231 & '>=1000' & '>=7' & 4 & none & 4 & 'life insurance' & 57 & none & rent & 2 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 57, 'checking_status': ""'<0'"", 'credit_amount': 1231, 'credit_history': ""'critical/other existing credit'"", 'duration': 24, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'>=1000'""}",A 57-year-old female German Foreigner is applying for a loan of 1231 credits for 24 months for radio or tv purposes. She has a checking account with 0 Deutsche Mark and a savings with 1000 Deutsche Mark or more. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 2 credits at this bank. She is employed for more than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. She has lived in a rented apartment for 4 years.  She owns life insurance property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
771,male,'0<=X<200',48,'no credits/all paid',business,3844,'100<=X<500','4<=X<7',4,none,4,'no known property',34,none,'for free',1,'unskilled resident',2,none,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 48, credit_history is 'no credits/all paid', purpose is business, credit_amount is 3844, savings_status is '100<=X<500', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 34, other_payment_plans is none, housing is 'for free', existing_credits is 1, job is 'unskilled resident', num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 48
 - credit_history : 'no credits/all paid'
 - purpose : business
 - credit_amount : 3844
 - savings_status : '100<=X<500'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 34
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 48. The credit_history is 'no credits/all paid'. The purpose is business. The credit_amount is 3844. The savings_status is '100<=X<500'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 34. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 2. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>48</td>
      <td>'no credits/all paid'</td>
      <td>business</td>
      <td>3844</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>34</td>
      <td>none</td>
      <td>'for free'</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>2</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 48 & 'no credits/all paid' & business & 3844 & '100<=X<500' & '4<=X<7' & 4 & none & 4 & 'no known property' & 34 & none & 'for free' & 1 & 'unskilled resident' & 2 & none & yes \\
\end{tabular}
","{'age': 34, 'checking_status': ""'0<=X<200'"", 'credit_amount': 3844, 'credit_history': ""'no credits/all paid'"", 'duration': 48, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'no known property'"", 'purpose': 'business', 'residence_since': 4, 'savings_status': ""'100<=X<500'""}",A 34-year-old male German Foreigner is applying for a loan of 3844 credits for 48 months for business purposes. He has a checking account with less than 200 Deutsche Mark and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. He did not take any credits at this bank or has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than four years but less than seven years and is recognized as an unskilled resident individual. He has lived in a free accommodation for 4 years.  He owns no known property. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
772,female,'no checking',18,'critical/other existing credit',radio/tv,2238,'<100','1<=X<4',2,none,1,car,25,none,own,2,skilled,1,none,yes,good,"gender is female, checking_status is 'no checking', duration is 18, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 2238, savings_status is '<100', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 1, property_magnitude is car, age is 25, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 18
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 2238
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 1
 - property_magnitude : car
 - age : 25
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 18. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 2238. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 1. The property_magnitude is car. The age is 25. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>18</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>2238</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>1</td>
      <td>car</td>
      <td>25</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 18 & 'critical/other existing credit' & radio/tv & 2238 & '<100' & '1<=X<4' & 2 & none & 1 & car & 25 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 25, 'checking_status': ""'no checking'"", 'credit_amount': 2238, 'credit_history': ""'critical/other existing credit'"", 'duration': 18, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 1, 'savings_status': ""'<100'""}",A 25-year-old female German Foreigner is applying for a loan of 2238 credits for 18 months for radio or tv purposes. She has no checking account and a savings acccount with less than 100 Deutsche Mark. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has no other installment plans and 2 credits at this bank. She is employed for more than one year but less than four years. She has lived in a self-owned house for 1 years.  She owns a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
773,male,'<0',36,'existing paid','new car',9271,'<100','4<=X<7',2,none,1,car,24,none,own,1,skilled,1,yes,yes,bad,"gender is male, checking_status is '<0', duration is 36, credit_history is 'existing paid', purpose is 'new car', credit_amount is 9271, savings_status is '<100', employment is '4<=X<7', installment_commitment is 2, other_parties is none, residence_since is 1, property_magnitude is car, age is 24, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 36
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 9271
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 1
 - property_magnitude : car
 - age : 24
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 36. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 9271. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 2. The other_parties is none. The residence_since is 1. The property_magnitude is car. The age is 24. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>36</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>9271</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>2</td>
      <td>none</td>
      <td>1</td>
      <td>car</td>
      <td>24</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 36 & 'existing paid' & 'new car' & 9271 & '<100' & '4<=X<7' & 2 & none & 1 & car & 24 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 24, 'checking_status': ""'<0'"", 'credit_amount': 9271, 'credit_history': ""'existing paid'"", 'duration': 36, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 1, 'savings_status': ""'<100'""}",A 24-year-old male German Foreigner is applying for a loan of 9271 credits for 36 months for new car purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 1 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
774,male,'no checking',10,'existing paid','new car',1597,'500<=X<1000','1<=X<4',3,none,2,'no known property',40,none,rent,1,'unskilled resident',2,none,no,good,"gender is male, checking_status is 'no checking', duration is 10, credit_history is 'existing paid', purpose is 'new car', credit_amount is 1597, savings_status is '500<=X<1000', employment is '1<=X<4', installment_commitment is 3, other_parties is none, residence_since is 2, property_magnitude is 'no known property', age is 40, other_payment_plans is none, housing is rent, existing_credits is 1, job is 'unskilled resident', num_dependents is 2, own_telephone is none, foreign_worker is no","- gender : male
 - checking_status : 'no checking'
 - duration : 10
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 1597
 - savings_status : '500<=X<1000'
 - employment : '1<=X<4'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'no known property'
 - age : 40
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : no",The gender is male. The checking_status is 'no checking'. The duration is 10. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 1597. The savings_status is '500<=X<1000'. The employment is '1<=X<4'. The installment_commitment is 3. The other_parties is none. The residence_since is 2. The property_magnitude is 'no known property'. The age is 40. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 2. The own_telephone is none. The foreign_worker is no,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>10</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>1597</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>3</td>
      <td>none</td>
      <td>2</td>
      <td>'no known property'</td>
      <td>40</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>2</td>
      <td>none</td>
      <td>no</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 10 & 'existing paid' & 'new car' & 1597 & '500<=X<1000' & '1<=X<4' & 3 & none & 2 & 'no known property' & 40 & none & rent & 1 & 'unskilled resident' & 2 & none & no \\
\end{tabular}
","{'age': 40, 'checking_status': ""'no checking'"", 'credit_amount': 1597, 'credit_history': ""'existing paid'"", 'duration': 10, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'no', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 3, 'job': ""'unskilled resident'"", 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'no known property'"", 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'500<=X<1000'""}",A 40-year-old male German Citizen is applying for a loan of 1597 credits for 10 months for new car purposes. He has no checking account and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years and is recognized as an unskilled resident individual. He has lived in a rented apartment for 2 years.  He owns no known property. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
775,female,'0<=X<200',27,'no credits/all paid',business,8318,'<100','>=7',2,none,4,'no known property',42,none,'for free',2,'high qualif/self emp/mgmt',1,yes,yes,bad,"gender is female, checking_status is '0<=X<200', duration is 27, credit_history is 'no credits/all paid', purpose is business, credit_amount is 8318, savings_status is '<100', employment is '>=7', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 42, other_payment_plans is none, housing is 'for free', existing_credits is 2, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 27
 - credit_history : 'no credits/all paid'
 - purpose : business
 - credit_amount : 8318
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 42
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 2
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 27. The credit_history is 'no credits/all paid'. The purpose is business. The credit_amount is 8318. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 42. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 2. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>27</td>
      <td>'no credits/all paid'</td>
      <td>business</td>
      <td>8318</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>42</td>
      <td>none</td>
      <td>'for free'</td>
      <td>2</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 27 & 'no credits/all paid' & business & 8318 & '<100' & '>=7' & 2 & none & 4 & 'no known property' & 42 & none & 'for free' & 2 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 42, 'checking_status': ""'0<=X<200'"", 'credit_amount': 8318, 'credit_history': ""'no credits/all paid'"", 'duration': 27, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': ""'for free'"", 'installment_commitment': 2, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': 'business', 'residence_since': 4, 'savings_status': ""'<100'""}",A 42-year-old female German Foreigner is applying for a loan of 8318 credits for 27 months for business purposes. She has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She did not take any credits at this bank or has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. She has no other installment plans and 2 credits at this bank. She is employed for more than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. She has lived in a free accommodation for 4 years.  She owns no known property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
776,male,'0<=X<200',18,'existing paid',business,4439,'<100','>=7',1,'co applicant',1,'real estate',33,bank,own,1,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is male, checking_status is '0<=X<200', duration is 18, credit_history is 'existing paid', purpose is business, credit_amount is 4439, savings_status is '<100', employment is '>=7', installment_commitment is 1, other_parties is 'co applicant', residence_since is 1, property_magnitude is 'real estate', age is 33, other_payment_plans is bank, housing is own, existing_credits is 1, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : business
 - credit_amount : 4439
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 1
 - other_parties : 'co applicant'
 - residence_since : 1
 - property_magnitude : 'real estate'
 - age : 33
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 18. The credit_history is 'existing paid'. The purpose is business. The credit_amount is 4439. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 1. The other_parties is 'co applicant'. The residence_since is 1. The property_magnitude is 'real estate'. The age is 33. The other_payment_plans is bank. The housing is own. The existing_credits is 1. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>18</td>
      <td>'existing paid'</td>
      <td>business</td>
      <td>4439</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>1</td>
      <td>'co applicant'</td>
      <td>1</td>
      <td>'real estate'</td>
      <td>33</td>
      <td>bank</td>
      <td>own</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 18 & 'existing paid' & business & 4439 & '<100' & '>=7' & 1 & 'co applicant' & 1 & 'real estate' & 33 & bank & own & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 33, 'checking_status': ""'0<=X<200'"", 'credit_amount': 4439, 'credit_history': ""'existing paid'"", 'duration': 18, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 1, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': ""'co applicant'"", 'other_payment_plans': 'bank', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': 'business', 'residence_since': 1, 'savings_status': ""'<100'""}",A 33-year-old male German Foreigner is applying for a loan of 4439 credits for 18 months for business purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has duly paid back credits received from this bank till now. There co-applicant associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has other installment plans with a bank and 1 credits at this bank. He is employed for more than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 1 years.  He owns some real estate property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
777,male,'no checking',12,'critical/other existing credit',radio/tv,1655,'<100','>=7',2,none,4,'real estate',63,none,own,2,'unskilled resident',1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 12, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 1655, savings_status is '<100', employment is '>=7', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 63, other_payment_plans is none, housing is own, existing_credits is 2, job is 'unskilled resident', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 1655
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 63
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 12. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 1655. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 63. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>12</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>1655</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>63</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 12 & 'critical/other existing credit' & radio/tv & 1655 & '<100' & '>=7' & 2 & none & 4 & 'real estate' & 63 & none & own & 2 & 'unskilled resident' & 1 & yes & yes \\
\end{tabular}
","{'age': 63, 'checking_status': ""'no checking'"", 'credit_amount': 1655, 'credit_history': ""'critical/other existing credit'"", 'duration': 12, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'<100'""}",A 63-year-old male German Foreigner is applying for a loan of 1655 credits for 12 months for radio or tv purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years and is recognized as an unskilled resident individual. He has lived in a self-owned house for 4 years.  He owns some real estate property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
778,female,'0<=X<200',8,'existing paid',furniture/equipment,1237,'<100','1<=X<4',3,none,4,'real estate',24,none,own,1,skilled,1,none,yes,bad,"gender is female, checking_status is '0<=X<200', duration is 8, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 1237, savings_status is '<100', employment is '1<=X<4', installment_commitment is 3, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 24, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 8
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 1237
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 24
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 8. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 1237. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 3. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 24. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>8</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>1237</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>3</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>24</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 8 & 'existing paid' & furniture/equipment & 1237 & '<100' & '1<=X<4' & 3 & none & 4 & 'real estate' & 24 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 24, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1237, 'credit_history': ""'existing paid'"", 'duration': 8, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'<100'""}",A 24-year-old female German Foreigner is applying for a loan of 1237 credits for 8 months for furniture or equipment purposes. She has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. She has no other installment plans and 1 credits at this bank. She is employed for more than one year but less than four years. She has lived in a self-owned house for 4 years.  She owns some real estate property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
779,male,'<0',12,'existing paid','new car',900,'no known savings','1<=X<4',4,none,2,car,23,none,own,1,skilled,1,none,yes,bad,"gender is male, checking_status is '<0', duration is 12, credit_history is 'existing paid', purpose is 'new car', credit_amount is 900, savings_status is 'no known savings', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is car, age is 23, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 900
 - savings_status : 'no known savings'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 23
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 12. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 900. The savings_status is 'no known savings'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 23. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>900</td>
      <td>'no known savings'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>23</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 12 & 'existing paid' & 'new car' & 900 & 'no known savings' & '1<=X<4' & 4 & none & 2 & car & 23 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 23, 'checking_status': ""'<0'"", 'credit_amount': 900, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'no known savings'""}",A 23-year-old male German Foreigner is applying for a loan of 900 credits for 12 months for new car purposes. He has a checking account with 0 Deutsche Mark and no known savings. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 2 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
780,female,'0<=X<200',48,'existing paid','new car',8487,'no known savings','4<=X<7',1,none,2,car,24,none,own,1,skilled,1,none,yes,good,"gender is female, checking_status is '0<=X<200', duration is 48, credit_history is 'existing paid', purpose is 'new car', credit_amount is 8487, savings_status is 'no known savings', employment is '4<=X<7', installment_commitment is 1, other_parties is none, residence_since is 2, property_magnitude is car, age is 24, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 48
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 8487
 - savings_status : 'no known savings'
 - employment : '4<=X<7'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 24
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '0<=X<200'. The duration is 48. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 8487. The savings_status is 'no known savings'. The employment is '4<=X<7'. The installment_commitment is 1. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 24. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>48</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>8487</td>
      <td>'no known savings'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>1</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>24</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '0<=X<200' & 48 & 'existing paid' & 'new car' & 8487 & 'no known savings' & '4<=X<7' & 1 & none & 2 & car & 24 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 24, 'checking_status': ""'0<=X<200'"", 'credit_amount': 8487, 'credit_history': ""'existing paid'"", 'duration': 48, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'no known savings'""}",A 24-year-old female German Foreigner is applying for a loan of 8487 credits for 48 months for new car purposes. She has a checking account with less than 200 Deutsche Mark and no known savings. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. She has no other installment plans and 1 credits at this bank. She is employed for more than four years but less than seven years. She has lived in a self-owned house for 2 years.  She owns a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
781,male,'0<=X<200',6,'delayed previously',furniture/equipment,1050,'<100',unemployed,4,none,1,'life insurance',35,stores,own,2,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is male, checking_status is '0<=X<200', duration is 6, credit_history is 'delayed previously', purpose is furniture/equipment, credit_amount is 1050, savings_status is '<100', employment is unemployed, installment_commitment is 4, other_parties is none, residence_since is 1, property_magnitude is 'life insurance', age is 35, other_payment_plans is stores, housing is own, existing_credits is 2, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 6
 - credit_history : 'delayed previously'
 - purpose : furniture/equipment
 - credit_amount : 1050
 - savings_status : '<100'
 - employment : unemployed
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'life insurance'
 - age : 35
 - other_payment_plans : stores
 - housing : own
 - existing_credits : 2
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 6. The credit_history is 'delayed previously'. The purpose is furniture/equipment. The credit_amount is 1050. The savings_status is '<100'. The employment is unemployed. The installment_commitment is 4. The other_parties is none. The residence_since is 1. The property_magnitude is 'life insurance'. The age is 35. The other_payment_plans is stores. The housing is own. The existing_credits is 2. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>6</td>
      <td>'delayed previously'</td>
      <td>furniture/equipment</td>
      <td>1050</td>
      <td>'&lt;100'</td>
      <td>unemployed</td>
      <td>4</td>
      <td>none</td>
      <td>1</td>
      <td>'life insurance'</td>
      <td>35</td>
      <td>stores</td>
      <td>own</td>
      <td>2</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 6 & 'delayed previously' & furniture/equipment & 1050 & '<100' & unemployed & 4 & none & 1 & 'life insurance' & 35 & stores & own & 2 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 35, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1050, 'credit_history': ""'delayed previously'"", 'duration': 6, 'employment': 'unemployed', 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'stores', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 1, 'savings_status': ""'<100'""}",A 35-year-old male German Foreigner is applying for a loan of 1050 credits for 6 months for furniture or equipment purposes. He has a checking account with less than 200 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has other installment plans with a store and 2 credits at this bank. He is unemployed and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 1 years.  He owns life insurance property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
782,male,'>=200',6,'critical/other existing credit','new car',1343,'<100','>=7',1,none,4,'real estate',46,none,own,2,skilled,2,none,no,good,"gender is male, checking_status is '>=200', duration is 6, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 1343, savings_status is '<100', employment is '>=7', installment_commitment is 1, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 46, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 2, own_telephone is none, foreign_worker is no","- gender : male
 - checking_status : '>=200'
 - duration : 6
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 1343
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 46
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : no",The gender is male. The checking_status is '>=200'. The duration is 6. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 1343. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 1. The other_parties is none. The residence_since is 4. The property_magnitude is 'real estate'. The age is 46. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 2. The own_telephone is none. The foreign_worker is no,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&gt;=200'</td>
      <td>6</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>1343</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>1</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>46</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>2</td>
      <td>none</td>
      <td>no</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '>=200' & 6 & 'critical/other existing credit' & 'new car' & 1343 & '<100' & '>=7' & 1 & none & 4 & 'real estate' & 46 & none & own & 2 & skilled & 2 & none & no \\
\end{tabular}
","{'age': 46, 'checking_status': ""'>=200'"", 'credit_amount': 1343, 'credit_history': ""'critical/other existing credit'"", 'duration': 6, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'no', 'gender': 'male', 'housing': 'own', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 46-year-old male German Citizen is applying for a loan of 1343 credits for 6 months for new car purposes. He has a checking account with 200 Deutsche Mark or more and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 4 years.  He owns some real estate property. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
783,male,'0<=X<200',20,'delayed previously','used car',7057,'no known savings','4<=X<7',3,none,4,'life insurance',36,bank,rent,2,'high qualif/self emp/mgmt',2,yes,yes,good,"gender is male, checking_status is '0<=X<200', duration is 20, credit_history is 'delayed previously', purpose is 'used car', credit_amount is 7057, savings_status is 'no known savings', employment is '4<=X<7', installment_commitment is 3, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', age is 36, other_payment_plans is bank, housing is rent, existing_credits is 2, job is 'high qualif/self emp/mgmt', num_dependents is 2, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 20
 - credit_history : 'delayed previously'
 - purpose : 'used car'
 - credit_amount : 7057
 - savings_status : 'no known savings'
 - employment : '4<=X<7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 36
 - other_payment_plans : bank
 - housing : rent
 - existing_credits : 2
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 2
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 20. The credit_history is 'delayed previously'. The purpose is 'used car'. The credit_amount is 7057. The savings_status is 'no known savings'. The employment is '4<=X<7'. The installment_commitment is 3. The other_parties is none. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 36. The other_payment_plans is bank. The housing is rent. The existing_credits is 2. The job is 'high qualif/self emp/mgmt'. The num_dependents is 2. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>20</td>
      <td>'delayed previously'</td>
      <td>'used car'</td>
      <td>7057</td>
      <td>'no known savings'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>3</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>36</td>
      <td>bank</td>
      <td>rent</td>
      <td>2</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>2</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 20 & 'delayed previously' & 'used car' & 7057 & 'no known savings' & '4<=X<7' & 3 & none & 4 & 'life insurance' & 36 & bank & rent & 2 & 'high qualif/self emp/mgmt' & 2 & yes & yes \\
\end{tabular}
","{'age': 36, 'checking_status': ""'0<=X<200'"", 'credit_amount': 7057, 'credit_history': ""'delayed previously'"", 'duration': 20, 'employment': ""'4<=X<7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 3, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 36-year-old male German Foreigner is applying for a loan of 7057 credits for 20 months for used car purposes. He has a checking account with less than 200 Deutsche Mark and no known savings. He has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. He has other installment plans with a bank and 2 credits at this bank. He is employed for more than four years but less than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a rented apartment for 4 years.  He owns life insurance property. He owns a telephone and has 2 people that he is liable to provide maintenance for.
784,female,'no checking',10,'critical/other existing credit',furniture/equipment,2146,'<100','<1',1,none,3,'real estate',23,none,rent,2,skilled,1,none,yes,good,"gender is female, checking_status is 'no checking', duration is 10, credit_history is 'critical/other existing credit', purpose is furniture/equipment, credit_amount is 2146, savings_status is '<100', employment is '<1', installment_commitment is 1, other_parties is none, residence_since is 3, property_magnitude is 'real estate', age is 23, other_payment_plans is none, housing is rent, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 10
 - credit_history : 'critical/other existing credit'
 - purpose : furniture/equipment
 - credit_amount : 2146
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'real estate'
 - age : 23
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 10. The credit_history is 'critical/other existing credit'. The purpose is furniture/equipment. The credit_amount is 2146. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 1. The other_parties is none. The residence_since is 3. The property_magnitude is 'real estate'. The age is 23. The other_payment_plans is none. The housing is rent. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>10</td>
      <td>'critical/other existing credit'</td>
      <td>furniture/equipment</td>
      <td>2146</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>1</td>
      <td>none</td>
      <td>3</td>
      <td>'real estate'</td>
      <td>23</td>
      <td>none</td>
      <td>rent</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 10 & 'critical/other existing credit' & furniture/equipment & 2146 & '<100' & '<1' & 1 & none & 3 & 'real estate' & 23 & none & rent & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 23, 'checking_status': ""'no checking'"", 'credit_amount': 2146, 'credit_history': ""'critical/other existing credit'"", 'duration': 10, 'employment': ""'<1'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'furniture/equipment', 'residence_since': 3, 'savings_status': ""'<100'""}",A 23-year-old female German Foreigner is applying for a loan of 2146 credits for 10 months for furniture or equipment purposes. She has no checking account and a savings acccount with less than 100 Deutsche Mark. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. She has no other installment plans and 2 credits at this bank. She is employed for less than one years. She has lived in a rented apartment for 3 years.  She owns some real estate property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
785,male,'0<=X<200',36,'existing paid',education,12612,'100<=X<500','1<=X<4',1,none,4,'no known property',47,none,'for free',1,skilled,2,yes,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 36, credit_history is 'existing paid', purpose is education, credit_amount is 12612, savings_status is '100<=X<500', employment is '1<=X<4', installment_commitment is 1, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 47, other_payment_plans is none, housing is 'for free', existing_credits is 1, job is skilled, num_dependents is 2, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 36
 - credit_history : 'existing paid'
 - purpose : education
 - credit_amount : 12612
 - savings_status : '100<=X<500'
 - employment : '1<=X<4'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 47
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 1
 - job : skilled
 - num_dependents : 2
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 36. The credit_history is 'existing paid'. The purpose is education. The credit_amount is 12612. The savings_status is '100<=X<500'. The employment is '1<=X<4'. The installment_commitment is 1. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 47. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 1. The job is skilled. The num_dependents is 2. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>36</td>
      <td>'existing paid'</td>
      <td>education</td>
      <td>12612</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>1</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>47</td>
      <td>none</td>
      <td>'for free'</td>
      <td>1</td>
      <td>skilled</td>
      <td>2</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 36 & 'existing paid' & education & 12612 & '100<=X<500' & '1<=X<4' & 1 & none & 4 & 'no known property' & 47 & none & 'for free' & 1 & skilled & 2 & yes & yes \\
\end{tabular}
","{'age': 47, 'checking_status': ""'0<=X<200'"", 'credit_amount': 12612, 'credit_history': ""'existing paid'"", 'duration': 36, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': 'education', 'residence_since': 4, 'savings_status': ""'100<=X<500'""}",A 47-year-old male German Foreigner is applying for a loan of 12612 credits for 36 months for education purposes. He has a checking account with less than 200 Deutsche Mark and a savings with more than 100 Deutsche Mark but less than 500 Deutsche Mark. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 1%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a free accommodation for 4 years.  He owns no known property. He owns a telephone and has 2 people that he is liable to provide maintenance for.
786,female,'<0',6,'existing paid','domestic appliance',343,'<100','<1',4,none,1,'real estate',27,none,own,1,skilled,1,none,yes,good,"gender is female, checking_status is '<0', duration is 6, credit_history is 'existing paid', purpose is 'domestic appliance', credit_amount is 343, savings_status is '<100', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 1, property_magnitude is 'real estate', age is 27, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 6
 - credit_history : 'existing paid'
 - purpose : 'domestic appliance'
 - credit_amount : 343
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'real estate'
 - age : 27
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 6. The credit_history is 'existing paid'. The purpose is 'domestic appliance'. The credit_amount is 343. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 1. The property_magnitude is 'real estate'. The age is 27. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>6</td>
      <td>'existing paid'</td>
      <td>'domestic appliance'</td>
      <td>343</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>1</td>
      <td>'real estate'</td>
      <td>27</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 6 & 'existing paid' & 'domestic appliance' & 343 & '<100' & '<1' & 4 & none & 1 & 'real estate' & 27 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 27, 'checking_status': ""'<0'"", 'credit_amount': 343, 'credit_history': ""'existing paid'"", 'duration': 6, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'domestic appliance'"", 'residence_since': 1, 'savings_status': ""'<100'""}",A 27-year-old female German Foreigner is applying for a loan of 343 credits for 6 months for domestic appliance purposes. She has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for less than one years. She has lived in a self-owned house for 1 years.  She owns some real estate property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
787,male,'<0',24,'critical/other existing credit','used car',6615,'<100',unemployed,2,none,4,'no known property',75,none,'for free',2,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is male, checking_status is '<0', duration is 24, credit_history is 'critical/other existing credit', purpose is 'used car', credit_amount is 6615, savings_status is '<100', employment is unemployed, installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 75, other_payment_plans is none, housing is 'for free', existing_credits is 2, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 24
 - credit_history : 'critical/other existing credit'
 - purpose : 'used car'
 - credit_amount : 6615
 - savings_status : '<100'
 - employment : unemployed
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 75
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 2
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '<0'. The duration is 24. The credit_history is 'critical/other existing credit'. The purpose is 'used car'. The credit_amount is 6615. The savings_status is '<100'. The employment is unemployed. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 75. The other_payment_plans is none. The housing is 'for free'. The existing_credits is 2. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'&lt;0'</td>
      <td>24</td>
      <td>'critical/other existing credit'</td>
      <td>'used car'</td>
      <td>6615</td>
      <td>'&lt;100'</td>
      <td>unemployed</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>75</td>
      <td>none</td>
      <td>'for free'</td>
      <td>2</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '<0' & 24 & 'critical/other existing credit' & 'used car' & 6615 & '<100' & unemployed & 2 & none & 4 & 'no known property' & 75 & none & 'for free' & 2 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 75, 'checking_status': ""'<0'"", 'credit_amount': 6615, 'credit_history': ""'critical/other existing credit'"", 'duration': 24, 'employment': 'unemployed', 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 2, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 75-year-old male German Foreigner is applying for a loan of 6615 credits for 24 months for used car purposes. He has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 2 credits at this bank. He is unemployed and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a free accommodation for 4 years.  He owns no known property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
788,male,'no checking',36,'critical/other existing credit',radio/tv,3342,'no known savings','>=7',4,none,2,car,51,none,own,1,skilled,1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 36, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 3342, savings_status is 'no known savings', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is car, age is 51, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 36
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 3342
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 51
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 36. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 3342. The savings_status is 'no known savings'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 51. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>36</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>3342</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>51</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 36 & 'critical/other existing credit' & radio/tv & 3342 & 'no known savings' & '>=7' & 4 & none & 2 & car & 51 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 51, 'checking_status': ""'no checking'"", 'credit_amount': 3342, 'credit_history': ""'critical/other existing credit'"", 'duration': 36, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'no known savings'""}",A 51-year-old male German Foreigner is applying for a loan of 3342 credits for 36 months for radio or tv purposes. He has no checking account and no known savings. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than seven years. He has lived in a self-owned house for 2 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
789,female,'<0',24,'delayed previously',radio/tv,1659,'<100','<1',4,none,2,car,29,none,rent,1,'unskilled resident',1,yes,yes,bad,"gender is female, checking_status is '<0', duration is 24, credit_history is 'delayed previously', purpose is radio/tv, credit_amount is 1659, savings_status is '<100', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is car, age is 29, other_payment_plans is none, housing is rent, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 24
 - credit_history : 'delayed previously'
 - purpose : radio/tv
 - credit_amount : 1659
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 29
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is '<0'. The duration is 24. The credit_history is 'delayed previously'. The purpose is radio/tv. The credit_amount is 1659. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 29. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'&lt;0'</td>
      <td>24</td>
      <td>'delayed previously'</td>
      <td>radio/tv</td>
      <td>1659</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>29</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & '<0' & 24 & 'delayed previously' & radio/tv & 1659 & '<100' & '<1' & 4 & none & 2 & car & 29 & none & rent & 1 & 'unskilled resident' & 1 & yes & yes \\
\end{tabular}
","{'age': 29, 'checking_status': ""'<0'"", 'credit_amount': 1659, 'credit_history': ""'delayed previously'"", 'duration': 24, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 29-year-old female German Foreigner is applying for a loan of 1659 credits for 24 months for radio or tv purposes. She has a checking account with 0 Deutsche Mark and a savings acccount with less than 100 Deutsche Mark. She has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for less than one years and is recognized as an unskilled resident individual. She has lived in a rented apartment for 2 years.  She owns a car. She owns a telephone and has 1 person that she is liable to provide maintenance for.
790,female,'no checking',24,'critical/other existing credit','used car',3868,'<100','>=7',4,none,2,car,41,none,rent,2,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is female, checking_status is 'no checking', duration is 24, credit_history is 'critical/other existing credit', purpose is 'used car', credit_amount is 3868, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is car, age is 41, other_payment_plans is none, housing is rent, existing_credits is 2, job is 'high qualif/self emp/mgmt', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'critical/other existing credit'
 - purpose : 'used car'
 - credit_amount : 3868
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 41
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 2
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 24. The credit_history is 'critical/other existing credit'. The purpose is 'used car'. The credit_amount is 3868. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is car. The age is 41. The other_payment_plans is none. The housing is rent. The existing_credits is 2. The job is 'high qualif/self emp/mgmt'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'critical/other existing credit'</td>
      <td>'used car'</td>
      <td>3868</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>41</td>
      <td>none</td>
      <td>rent</td>
      <td>2</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 24 & 'critical/other existing credit' & 'used car' & 3868 & '<100' & '>=7' & 4 & none & 2 & car & 41 & none & rent & 2 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 41, 'checking_status': ""'no checking'"", 'credit_amount': 3868, 'credit_history': ""'critical/other existing credit'"", 'duration': 24, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 4, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': ""'used car'"", 'residence_since': 2, 'savings_status': ""'<100'""}",A 41-year-old female German Foreigner is applying for a loan of 3868 credits for 24 months for used car purposes. She has no checking account and a savings acccount with less than 100 Deutsche Mark. She has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 2 credits at this bank. She is employed for more than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. She has lived in a rented apartment for 2 years.  She owns a car. She owns a telephone and has 1 person that she is liable to provide maintenance for.
791,female,'no checking',18,'delayed previously',furniture/equipment,1808,'<100','4<=X<7',4,none,1,'real estate',22,none,own,1,skilled,1,none,yes,bad,"gender is female, checking_status is 'no checking', duration is 18, credit_history is 'delayed previously', purpose is furniture/equipment, credit_amount is 1808, savings_status is '<100', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 1, property_magnitude is 'real estate', age is 22, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 18
 - credit_history : 'delayed previously'
 - purpose : furniture/equipment
 - credit_amount : 1808
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'real estate'
 - age : 22
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 18. The credit_history is 'delayed previously'. The purpose is furniture/equipment. The credit_amount is 1808. The savings_status is '<100'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is none. The residence_since is 1. The property_magnitude is 'real estate'. The age is 22. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>18</td>
      <td>'delayed previously'</td>
      <td>furniture/equipment</td>
      <td>1808</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>1</td>
      <td>'real estate'</td>
      <td>22</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 18 & 'delayed previously' & furniture/equipment & 1808 & '<100' & '4<=X<7' & 4 & none & 1 & 'real estate' & 22 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 22, 'checking_status': ""'no checking'"", 'credit_amount': 1808, 'credit_history': ""'delayed previously'"", 'duration': 18, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'furniture/equipment', 'residence_since': 1, 'savings_status': ""'<100'""}",A 22-year-old female German Foreigner is applying for a loan of 1808 credits for 18 months for furniture or equipment purposes. She has no checking account and a savings acccount with less than 100 Deutsche Mark. She has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for more than four years but less than seven years. She has lived in a self-owned house for 1 years.  She owns some real estate property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
792,male,'no checking',9,'critical/other existing credit','new car',2134,'<100','1<=X<4',4,none,4,car,48,none,own,3,skilled,1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 9, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 2134, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is car, age is 48, other_payment_plans is none, housing is own, existing_credits is 3, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 9
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 2134
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 48
 - other_payment_plans : none
 - housing : own
 - existing_credits : 3
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 9. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 2134. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 48. The other_payment_plans is none. The housing is own. The existing_credits is 3. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>9</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>2134</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>48</td>
      <td>none</td>
      <td>own</td>
      <td>3</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 9 & 'critical/other existing credit' & 'new car' & 2134 & '<100' & '1<=X<4' & 4 & none & 4 & car & 48 & none & own & 3 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 48, 'checking_status': ""'no checking'"", 'credit_amount': 2134, 'credit_history': ""'critical/other existing credit'"", 'duration': 9, 'employment': ""'1<=X<4'"", 'existing_credits': 3, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 48-year-old male German Foreigner is applying for a loan of 2134 credits for 9 months for new car purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 3 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 4 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
793,female,'no checking',12,'existing paid',furniture/equipment,1123,'500<=X<1000','1<=X<4',4,none,4,car,29,none,rent,1,'unskilled resident',1,none,yes,bad,"gender is female, checking_status is 'no checking', duration is 12, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 1123, savings_status is '500<=X<1000', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is car, age is 29, other_payment_plans is none, housing is rent, existing_credits is 1, job is 'unskilled resident', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 1123
 - savings_status : '500<=X<1000'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 29
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 12. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 1123. The savings_status is '500<=X<1000'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 4. The property_magnitude is car. The age is 29. The other_payment_plans is none. The housing is rent. The existing_credits is 1. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>1123</td>
      <td>'500&lt;=X&lt;1000'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>29</td>
      <td>none</td>
      <td>rent</td>
      <td>1</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 12 & 'existing paid' & furniture/equipment & 1123 & '500<=X<1000' & '1<=X<4' & 4 & none & 4 & car & 29 & none & rent & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 29, 'checking_status': ""'no checking'"", 'credit_amount': 1123, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'500<=X<1000'""}",A 29-year-old female German Foreigner is applying for a loan of 1123 credits for 12 months for furniture or equipment purposes. She has no checking account and a savings with more than 500 Deutsche Mark but less than 1000 Deutsche Mark. She has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. She has no other installment plans and 1 credits at this bank. She is employed for more than one year but less than four years and is recognized as an unskilled resident individual. She has lived in a rented apartment for 4 years.  She owns a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
794,male,'no checking',7,'critical/other existing credit',radio/tv,730,'no known savings','>=7',4,none,2,'life insurance',46,none,rent,2,'unskilled resident',1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 7, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 730, savings_status is 'no known savings', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is 'life insurance', age is 46, other_payment_plans is none, housing is rent, existing_credits is 2, job is 'unskilled resident', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 7
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 730
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 46
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 2
 - job : 'unskilled resident'
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 7. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 730. The savings_status is 'no known savings'. The employment is '>=7'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is 'life insurance'. The age is 46. The other_payment_plans is none. The housing is rent. The existing_credits is 2. The job is 'unskilled resident'. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>7</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>730</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>46</td>
      <td>none</td>
      <td>rent</td>
      <td>2</td>
      <td>'unskilled resident'</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 7 & 'critical/other existing credit' & radio/tv & 730 & 'no known savings' & '>=7' & 4 & none & 2 & 'life insurance' & 46 & none & rent & 2 & 'unskilled resident' & 1 & yes & yes \\
\end{tabular}
","{'age': 46, 'checking_status': ""'no checking'"", 'credit_amount': 730, 'credit_history': ""'critical/other existing credit'"", 'duration': 7, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'no known savings'""}",A 46-year-old male German Foreigner is applying for a loan of 730 credits for 7 months for radio or tv purposes. He has no checking account and no known savings. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than seven years and is recognized as an unskilled resident individual. He has lived in a rented apartment for 2 years.  He owns life insurance property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
795,male,'no checking',18,'all paid','new car',6458,'<100','>=7',2,none,4,'no known property',39,bank,own,2,'high qualif/self emp/mgmt',2,yes,yes,bad,"gender is male, checking_status is 'no checking', duration is 18, credit_history is 'all paid', purpose is 'new car', credit_amount is 6458, savings_status is '<100', employment is '>=7', installment_commitment is 2, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 39, other_payment_plans is bank, housing is own, existing_credits is 2, job is 'high qualif/self emp/mgmt', num_dependents is 2, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 18
 - credit_history : 'all paid'
 - purpose : 'new car'
 - credit_amount : 6458
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 39
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 2
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 2
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 18. The credit_history is 'all paid'. The purpose is 'new car'. The credit_amount is 6458. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 2. The other_parties is none. The residence_since is 4. The property_magnitude is 'no known property'. The age is 39. The other_payment_plans is bank. The housing is own. The existing_credits is 2. The job is 'high qualif/self emp/mgmt'. The num_dependents is 2. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>18</td>
      <td>'all paid'</td>
      <td>'new car'</td>
      <td>6458</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>39</td>
      <td>bank</td>
      <td>own</td>
      <td>2</td>
      <td>'high qualif/self emp/mgmt'</td>
      <td>2</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 18 & 'all paid' & 'new car' & 6458 & '<100' & '>=7' & 2 & none & 4 & 'no known property' & 39 & bank & own & 2 & 'high qualif/self emp/mgmt' & 2 & yes & yes \\
\end{tabular}
","{'age': 39, 'checking_status': ""'no checking'"", 'credit_amount': 6458, 'credit_history': ""'all paid'"", 'duration': 18, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': ""'high qualif/self emp/mgmt'"", 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 39-year-old male German Foreigner is applying for a loan of 6458 credits for 18 months for new car purposes. He has no checking account and a savings acccount with less than 100 Deutsche Mark. He has duly paid back all credits at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has other installment plans with a bank and 2 credits at this bank. He is employed for more than seven years and is recognized as a highly qualified employee or is self employed or has managerial position. He has lived in a self-owned house for 4 years.  He owns no known property. He owns a telephone and has 2 people that he is liable to provide maintenance for.
796,male,'no checking',18,'existing paid','new car',2662,'no known savings','4<=X<7',4,none,3,'life insurance',32,none,own,1,skilled,1,none,no,good,"gender is male, checking_status is 'no checking', duration is 18, credit_history is 'existing paid', purpose is 'new car', credit_amount is 2662, savings_status is 'no known savings', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 3, property_magnitude is 'life insurance', age is 32, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is no","- gender : male
 - checking_status : 'no checking'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 2662
 - savings_status : 'no known savings'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'life insurance'
 - age : 32
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : no",The gender is male. The checking_status is 'no checking'. The duration is 18. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 2662. The savings_status is 'no known savings'. The employment is '4<=X<7'. The installment_commitment is 4. The other_parties is none. The residence_since is 3. The property_magnitude is 'life insurance'. The age is 32. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is no,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>18</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>2662</td>
      <td>'no known savings'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>'life insurance'</td>
      <td>32</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>no</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 18 & 'existing paid' & 'new car' & 2662 & 'no known savings' & '4<=X<7' & 4 & none & 3 & 'life insurance' & 32 & none & own & 1 & skilled & 1 & none & no \\
\end{tabular}
","{'age': 32, 'checking_status': ""'no checking'"", 'credit_amount': 2662, 'credit_history': ""'existing paid'"", 'duration': 18, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'no', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': ""'new car'"", 'residence_since': 3, 'savings_status': ""'no known savings'""}",A 32-year-old male German Citizen is applying for a loan of 2662 credits for 18 months for new car purposes. He has no checking account and no known savings. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 1 credits at this bank. He is employed for more than four years but less than seven years. He has lived in a self-owned house for 3 years.  He owns life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
797,male,'no checking',24,'critical/other existing credit','used car',5804,'>=1000','1<=X<4',4,none,2,'real estate',27,none,own,2,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'critical/other existing credit', purpose is 'used car', credit_amount is 5804, savings_status is '>=1000', employment is '1<=X<4', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 27, other_payment_plans is none, housing is own, existing_credits is 2, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'critical/other existing credit'
 - purpose : 'used car'
 - credit_amount : 5804
 - savings_status : '>=1000'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 27
 - other_payment_plans : none
 - housing : own
 - existing_credits : 2
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is male. The checking_status is 'no checking'. The duration is 24. The credit_history is 'critical/other existing credit'. The purpose is 'used car'. The credit_amount is 5804. The savings_status is '>=1000'. The employment is '1<=X<4'. The installment_commitment is 4. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 27. The other_payment_plans is none. The housing is own. The existing_credits is 2. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'critical/other existing credit'</td>
      <td>'used car'</td>
      <td>5804</td>
      <td>'&gt;=1000'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>27</td>
      <td>none</td>
      <td>own</td>
      <td>2</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & 'no checking' & 24 & 'critical/other existing credit' & 'used car' & 5804 & '>=1000' & '1<=X<4' & 4 & none & 2 & 'real estate' & 27 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 27, 'checking_status': ""'no checking'"", 'credit_amount': 5804, 'credit_history': ""'critical/other existing credit'"", 'duration': 24, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'used car'"", 'residence_since': 2, 'savings_status': ""'>=1000'""}",A 27-year-old male German Foreigner is applying for a loan of 5804 credits for 24 months for used car purposes. He has no checking account and a savings with 1000 Deutsche Mark or more. He has critical account or has other credits existing but not at this bank. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 4%. He has no other installment plans and 2 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 2 years.  He owns some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
798,male,'0<=X<200',12,'existing paid',radio/tv,1484,'no known savings','1<=X<4',2,none,1,'real estate',25,none,own,1,skilled,1,yes,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 12, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1484, savings_status is 'no known savings', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 1, property_magnitude is 'real estate', age is 25, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1484
 - savings_status : 'no known savings'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'real estate'
 - age : 25
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : yes
 - foreign_worker : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 12. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1484. The savings_status is 'no known savings'. The employment is '1<=X<4'. The installment_commitment is 2. The other_parties is none. The residence_since is 1. The property_magnitude is 'real estate'. The age is 25. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1484</td>
      <td>'no known savings'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>1</td>
      <td>'real estate'</td>
      <td>25</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & male & '0<=X<200' & 12 & 'existing paid' & radio/tv & 1484 & 'no known savings' & '1<=X<4' & 2 & none & 1 & 'real estate' & 25 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 25, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1484, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 1, 'savings_status': ""'no known savings'""}",A 25-year-old male German Foreigner is applying for a loan of 1484 credits for 12 months for radio or tv purposes. He has a checking account with less than 200 Deutsche Mark and no known savings. He has duly paid back credits received from this bank till now. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 2%. He has no other installment plans and 1 credits at this bank. He is employed for more than one year but less than four years. He has lived in a self-owned house for 1 years.  He owns some real estate property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
799,female,'no checking',6,'delayed previously',radio/tv,932,'<100','1<=X<4',3,none,2,'real estate',24,none,own,1,skilled,1,none,yes,good,"gender is female, checking_status is 'no checking', duration is 6, credit_history is 'delayed previously', purpose is radio/tv, credit_amount is 932, savings_status is '<100', employment is '1<=X<4', installment_commitment is 3, other_parties is none, residence_since is 2, property_magnitude is 'real estate', age is 24, other_payment_plans is none, housing is own, existing_credits is 1, job is skilled, num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 6
 - credit_history : 'delayed previously'
 - purpose : radio/tv
 - credit_amount : 932
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 24
 - other_payment_plans : none
 - housing : own
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : yes",The gender is female. The checking_status is 'no checking'. The duration is 6. The credit_history is 'delayed previously'. The purpose is radio/tv. The credit_amount is 932. The savings_status is '<100'. The employment is '1<=X<4'. The installment_commitment is 3. The other_parties is none. The residence_since is 2. The property_magnitude is 'real estate'. The age is 24. The other_payment_plans is none. The housing is own. The existing_credits is 1. The job is skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</th>
      <th>num_dependents</th>
      <th>own_telephone</th>
      <th>foreign_worker</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>female</td>
      <td>'no checking'</td>
      <td>6</td>
      <td>'delayed previously'</td>
      <td>radio/tv</td>
      <td>932</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>3</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>24</td>
      <td>none</td>
      <td>own</td>
      <td>1</td>
      <td>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_commitment & other_parties & residence_since & property_magnitude & age & other_payment_plans & housing & existing_credits & job & num_dependents & own_telephone & foreign_worker \\
0 & female & 'no checking' & 6 & 'delayed previously' & radio/tv & 932 & '<100' & '1<=X<4' & 3 & none & 2 & 'real estate' & 24 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 24, 'checking_status': ""'no checking'"", 'credit_amount': 932, 'credit_history': ""'delayed previously'"", 'duration': 6, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'own', 'installment_commitment': 3, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 24-year-old female German Foreigner is applying for a loan of 932 credits for 6 months for radio or tv purposes. She has no checking account and a savings acccount with less than 100 Deutsche Mark. She has delayed paying back credits received from this bank in the past. There are no other party associated with this loan. The installment rate given to this applicant by the bank in percentage is 3%. She has no other installment plans and 1 credits at this bank. She is employed for more than one year but less than four years. She has lived in a self-owned house for 2 years.  She owns some real estate property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.