,gender,checking_status,duration,credit_history,purpose,credit_amount,savings_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,female,'<0',18,'existing paid',radio/tv,3190,'<100','1<=X<4',2,none,2,'real estate',24,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 radio/tv, credit_amount is 3190, 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 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'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 3190
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - 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 '<0'. The duration is 18. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 3190. 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 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>'&lt;0'</td>
      <td>18</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>3190</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>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' & 18 & 'existing paid' & radio/tv & 3190 & '<100' & '1<=X<4' & 2 & none & 2 & 'real estate' & 24 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 24, 'checking_status': ""'<0'"", 'credit_amount': 3190, 'credit_history': ""'existing paid'"", 'duration': 18, '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 24-year-old female German Foreigner is applying for a loan of 3190 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 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.
1,male,'<0',18,'existing paid','new car',4380,'100<=X<500','1<=X<4',3,none,4,car,35,none,own,1,'unskilled resident',2,yes,yes,good,"gender is male, checking_status is '<0', duration is 18, credit_history is 'existing paid', purpose is 'new car', credit_amount is 4380, 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 car, age is 35, 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'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 4380
 - savings_status : '100<=X<500'
 - employment : '1<=X<4'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 35
 - 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'. The duration is 18. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 4380. 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 car. 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 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>'new car'</td>
      <td>4380</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>car</td>
      <td>35</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' & 18 & 'existing paid' & 'new car' & 4380 & '100<=X<500' & '1<=X<4' & 3 & none & 4 & car & 35 & none & own & 1 & 'unskilled resident' & 2 & yes & yes \\
\end{tabular}
","{'age': 35, 'checking_status': ""'<0'"", 'credit_amount': 4380, 'credit_history': ""'existing paid'"", 'duration': 18, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 3, 'job': ""'unskilled resident'"", 'num_dependents': 2, '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 35-year-old male German Foreigner is applying for a loan of 4380 credits for 18 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 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 a car. He owns a telephone and has 2 people that he is liable to provide maintenance for.
2,male,'<0',24,'all paid','new car',2325,'100<=X<500','4<=X<7',2,none,3,car,32,bank,own,1,skilled,1,none,yes,good,"gender is male, checking_status is '<0', duration is 24, credit_history is 'all paid', purpose is 'new car', credit_amount is 2325, 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 car, age is 32, 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 : 'new car'
 - credit_amount : 2325
 - savings_status : '100<=X<500'
 - employment : '4<=X<7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 3
 - property_magnitude : car
 - age : 32
 - 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 'new car'. The credit_amount is 2325. 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 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 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</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>'new car'</td>
      <td>2325</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>car</td>
      <td>32</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' & 'new car' & 2325 & '100<=X<500' & '4<=X<7' & 2 & none & 3 & car & 32 & bank & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 32, 'checking_status': ""'<0'"", 'credit_amount': 2325, 'credit_history': ""'all 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': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 3, 'savings_status': ""'100<=X<500'""}",A 32-year-old male German Foreigner is applying for a loan of 2325 credits for 24 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 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 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.
3,male,'>=200',12,'existing paid',radio/tv,1297,'<100','1<=X<4',3,none,4,'real estate',23,none,rent,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 1297, 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 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 : '>=200'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1297
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 3
 - 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 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 1297. 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 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>'&gt;=200'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1297</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>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 & '>=200' & 12 & 'existing paid' & radio/tv & 1297 & '<100' & '1<=X<4' & 3 & none & 4 & 'real estate' & 23 & none & rent & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 23, 'checking_status': ""'>=200'"", 'credit_amount': 1297, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'1<=X<4'"", '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': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'<100'""}",A 23-year-old male German Foreigner is applying for a loan of 1297 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 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.
4,male,'no checking',33,'critical/other existing credit','used car',7253,'<100','4<=X<7',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 33, credit_history is 'critical/other existing credit', purpose is 'used car', credit_amount is 7253, 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 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 : 33
 - credit_history : 'critical/other existing credit'
 - purpose : 'used car'
 - credit_amount : 7253
 - savings_status : '<100'
 - employment : '4<=X<7'
 - 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 33. The credit_history is 'critical/other existing credit'. The purpose is 'used car'. The credit_amount is 7253. 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 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>33</td>
      <td>'critical/other existing credit'</td>
      <td>'used car'</td>
      <td>7253</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>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' & 33 & 'critical/other existing credit' & 'used car' & 7253 & '<100' & '4<=X<7' & 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': 7253, 'credit_history': ""'critical/other existing credit'"", 'duration': 33, 'employment': ""'4<=X<7'"", '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': ""'used car'"", 'residence_since': 2, 'savings_status': ""'<100'""}",A 35-year-old male German Foreigner is applying for a loan of 7253 credits for 33 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 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.
5,male,'<0',24,'existing paid',radio/tv,2384,'<100','>=7',4,none,4,'real estate',64,bank,rent,1,'unskilled resident',1,none,yes,good,"gender is male, checking_status is '<0', duration is 24, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 2384, 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 64, 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 : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 2384
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 64
 - 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 'existing paid'. The purpose is radio/tv. The credit_amount is 2384. 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 64. 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>'existing paid'</td>
      <td>radio/tv</td>
      <td>2384</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>64</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 & 'existing paid' & radio/tv & 2384 & '<100' & '>=7' & 4 & none & 4 & 'real estate' & 64 & bank & rent & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 64, 'checking_status': ""'<0'"", 'credit_amount': 2384, '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': 'bank', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'<100'""}",A 64-year-old male German Foreigner is applying for a loan of 2384 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 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 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.
6,male,'>=200',6,'existing paid',furniture/equipment,2116,'<100','1<=X<4',2,none,2,'real estate',41,none,own,1,skilled,1,yes,yes,good,"gender is male, checking_status is '>=200', duration is 6, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 2116, 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 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 : '>=200'
 - duration : 6
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 2116
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - 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 '>=200'. The duration is 6. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 2116. 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 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>'&gt;=200'</td>
      <td>6</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>2116</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>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 & '>=200' & 6 & 'existing paid' & furniture/equipment & 2116 & '<100' & '1<=X<4' & 2 & none & 2 & 'real estate' & 41 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 41, 'checking_status': ""'>=200'"", 'credit_amount': 2116, 'credit_history': ""'existing paid'"", 'duration': 6, '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': 'furniture/equipment', 'residence_since': 2, 'savings_status': ""'<100'""}",A 41-year-old male German Foreigner is applying for a loan of 2116 credits for 6 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 owns a telephone and has 1 person that he is liable to provide maintenance for.
7,male,'0<=X<200',12,'delayed previously',radio/tv,585,'<100','1<=X<4',4,'co applicant',4,'real estate',20,none,rent,2,skilled,1,none,yes,good,"gender is male, checking_status is '0<=X<200', duration is 12, credit_history is 'delayed previously', purpose is radio/tv, credit_amount is 585, savings_status is '<100', employment is '1<=X<4', installment_commitment is 4, other_parties is 'co applicant', residence_since is 4, property_magnitude is 'real estate', 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 : '0<=X<200'
 - duration : 12
 - credit_history : 'delayed previously'
 - purpose : radio/tv
 - credit_amount : 585
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : 'co applicant'
 - residence_since : 4
 - property_magnitude : 'real estate'
 - 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 '0<=X<200'. The duration is 12. The credit_history is 'delayed previously'. The purpose is radio/tv. The credit_amount is 585. 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 4. The property_magnitude is 'real estate'. 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>'0&lt;=X&lt;200'</td>
      <td>12</td>
      <td>'delayed previously'</td>
      <td>radio/tv</td>
      <td>585</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>'co applicant'</td>
      <td>4</td>
      <td>'real estate'</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 & '0<=X<200' & 12 & 'delayed previously' & radio/tv & 585 & '<100' & '1<=X<4' & 4 & 'co applicant' & 4 & 'real estate' & 20 & none & rent & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 20, 'checking_status': ""'0<=X<200'"", 'credit_amount': 585, 'credit_history': ""'delayed previously'"", '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': ""'co applicant'"", 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'<100'""}",A 20-year-old male German Foreigner is applying for a loan of 585 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 delayed paying back credits received from this bank in the past. 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 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.
8,male,'no checking',9,'existing paid','new car',3577,'100<=X<500','1<=X<4',1,guarantor,2,'real estate',26,none,rent,1,skilled,2,none,no,good,"gender is male, checking_status is 'no checking', duration is 9, credit_history is 'existing paid', purpose is 'new car', credit_amount is 3577, savings_status is '100<=X<500', employment is '1<=X<4', installment_commitment is 1, other_parties is guarantor, 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 2, own_telephone is none, foreign_worker is no","- gender : male
 - checking_status : 'no checking'
 - duration : 9
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 3577
 - savings_status : '100<=X<500'
 - employment : '1<=X<4'
 - installment_commitment : 1
 - other_parties : guarantor
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 26
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 2
 - own_telephone : none
 - foreign_worker : no",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 3577. The savings_status is '100<=X<500'. 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 '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 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>9</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>3577</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>1</td>
      <td>guarantor</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>26</td>
      <td>none</td>
      <td>rent</td>
      <td>1</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 & 'no checking' & 9 & 'existing paid' & 'new car' & 3577 & '100<=X<500' & '1<=X<4' & 1 & guarantor & 2 & 'real estate' & 26 & none & rent & 1 & skilled & 2 & none & no \\
\end{tabular}
","{'age': 26, 'checking_status': ""'no checking'"", 'credit_amount': 3577, 'credit_history': ""'existing paid'"", 'duration': 9, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'no', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'guarantor', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'100<=X<500'""}",A 26-year-old male German Citizen is applying for a loan of 3577 credits for 9 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 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 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.
9,male,'no checking',27,'delayed previously','used car',8613,'>=1000','1<=X<4',2,none,2,car,27,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 'used car', credit_amount is 8613, savings_status is '>=1000', 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 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 : 'used car'
 - credit_amount : 8613
 - savings_status : '>=1000'
 - 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 : 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 'used car'. The credit_amount is 8613. 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 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>27</td>
      <td>'delayed previously'</td>
      <td>'used car'</td>
      <td>8613</td>
      <td>'&gt;=1000'</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>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' & 'used car' & 8613 & '>=1000' & '1<=X<4' & 2 & none & 2 & car & 27 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 27, 'checking_status': ""'no checking'"", 'credit_amount': 8613, 'credit_history': ""'delayed previously'"", 'duration': 27, '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': 'car', 'purpose': ""'used car'"", 'residence_since': 2, 'savings_status': ""'>=1000'""}",A 27-year-old male German Foreigner is applying for a loan of 8613 credits for 27 months for used car 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 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 does not own a telephone and has 1 person that he is liable to provide maintenance for.
10,male,'0<=X<200',6,'existing paid',radio/tv,484,'<100','4<=X<7',3,guarantor,3,'real estate',28,bank,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 radio/tv, credit_amount is 484, savings_status is '<100', employment is '4<=X<7', installment_commitment is 3, other_parties is guarantor, residence_since is 3, property_magnitude is 'real estate', age is 28, 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 : 6
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 484
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 3
 - other_parties : guarantor
 - residence_since : 3
 - property_magnitude : 'real estate'
 - age : 28
 - 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 6. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 484. The savings_status is '<100'. The employment is '4<=X<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 28. 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>6</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>484</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>3</td>
      <td>guarantor</td>
      <td>3</td>
      <td>'real estate'</td>
      <td>28</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' & 6 & 'existing paid' & radio/tv & 484 & '<100' & '4<=X<7' & 3 & guarantor & 3 & 'real estate' & 28 & bank & own & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 28, 'checking_status': ""'0<=X<200'"", 'credit_amount': 484, 'credit_history': ""'existing paid'"", 'duration': 6, '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': 'guarantor', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 3, 'savings_status': ""'<100'""}",A 28-year-old male German Foreigner is applying for a loan of 484 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 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 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 1 person that he is liable to provide maintenance for.
11,male,'<0',42,'existing paid',radio/tv,3965,'<100','<1',4,none,3,car,34,none,own,1,skilled,1,none,yes,bad,"gender is male, checking_status is '<0', duration is 42, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 3965, 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 1, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 42
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 3965
 - 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 : 1
 - 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 radio/tv. The credit_amount is 3965. 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 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</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>radio/tv</td>
      <td>3965</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>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_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' & radio/tv & 3965 & '<100' & '<1' & 4 & none & 3 & car & 34 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 34, 'checking_status': ""'<0'"", 'credit_amount': 3965, 'credit_history': ""'existing paid'"", 'duration': 42, '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': 'radio/tv', 'residence_since': 3, 'savings_status': ""'<100'""}",A 34-year-old male German Foreigner is applying for a loan of 3965 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 duly paid back credits received from this bank 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 a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
12,female,'no checking',24,'existing paid',radio/tv,1376,'500<=X<1000','4<=X<7',4,none,1,car,28,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 radio/tv, credit_amount is 1376, 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 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 : 24
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1376
 - savings_status : '500<=X<1000'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 1
 - 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 'no checking'. The duration is 24. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1376. 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 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>24</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1376</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>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' & 24 & 'existing paid' & radio/tv & 1376 & '500<=X<1000' & '4<=X<7' & 4 & none & 1 & car & 28 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 28, 'checking_status': ""'no checking'"", 'credit_amount': 1376, 'credit_history': ""'existing paid'"", 'duration': 24, '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': 'car', 'purpose': 'radio/tv', 'residence_since': 1, 'savings_status': ""'500<=X<1000'""}",A 28-year-old female German Foreigner is applying for a loan of 1376 credits for 24 months for radio or tv 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 four years but less than seven 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.
13,male,'<0',60,'existing paid',business,7297,'<100','>=7',4,'co applicant',4,'no known property',36,none,rent,1,skilled,1,none,yes,bad,"gender is male, checking_status is '<0', duration is 60, credit_history is 'existing paid', purpose is business, credit_amount is 7297, 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 36, 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 : 60
 - credit_history : 'existing paid'
 - purpose : business
 - credit_amount : 7297
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : 'co applicant'
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 36
 - 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 60. The credit_history is 'existing paid'. The purpose is business. The credit_amount is 7297. 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 36. 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>60</td>
      <td>'existing paid'</td>
      <td>business</td>
      <td>7297</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>36</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' & 60 & 'existing paid' & business & 7297 & '<100' & '>=7' & 4 & 'co applicant' & 4 & 'no known property' & 36 & none & rent & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 36, 'checking_status': ""'<0'"", 'credit_amount': 7297, 'credit_history': ""'existing paid'"", 'duration': 60, 'employment': ""'>=7'"", 'existing_credits': 1, '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': 'business', 'residence_since': 4, 'savings_status': ""'<100'""}",A 36-year-old male German Foreigner is applying for a loan of 7297 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 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. 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.
14,male,'0<=X<200',60,'existing paid',education,6288,'<100','1<=X<4',4,none,4,'no known property',42,none,'for free',1,skilled,1,none,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 60, credit_history is 'existing paid', purpose is education, credit_amount is 6288, 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 42, 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 : 60
 - credit_history : 'existing paid'
 - purpose : education
 - credit_amount : 6288
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - 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 : 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 'existing paid'. The purpose is education. The credit_amount is 6288. 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 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 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</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>'existing paid'</td>
      <td>education</td>
      <td>6288</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>42</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' & 60 & 'existing paid' & education & 6288 & '<100' & '1<=X<4' & 4 & none & 4 & 'no known property' & 42 & none & 'for free' & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 42, 'checking_status': ""'0<=X<200'"", 'credit_amount': 6288, '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': 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 42-year-old male German Foreigner is applying for a loan of 6288 credits for 60 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 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.
15,male,'<0',18,'existing paid',furniture/equipment,4153,'<100','1<=X<4',2,'co applicant',3,car,42,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 4153, 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 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 : 18
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 4153
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : 'co applicant'
 - residence_since : 3
 - 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 18. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 4153. 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 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>18</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>4153</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>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' & 18 & 'existing paid' & furniture/equipment & 4153 & '<100' & '1<=X<4' & 2 & 'co applicant' & 3 & car & 42 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 42, 'checking_status': ""'<0'"", 'credit_amount': 4153, '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': ""'co applicant'"", 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'furniture/equipment', 'residence_since': 3, 'savings_status': ""'<100'""}",A 42-year-old male German Foreigner is applying for a loan of 4153 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 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. 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.
16,male,'no checking',15,'critical/other existing credit','used car',3368,'>=1000','>=7',3,none,4,'no known property',23,none,rent,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 'used car', credit_amount is 3368, savings_status is '>=1000', 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 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 : 15
 - credit_history : 'critical/other existing credit'
 - purpose : 'used car'
 - credit_amount : 3368
 - savings_status : '>=1000'
 - employment : '>=7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - 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 male. The checking_status is 'no checking'. The duration is 15. The credit_history is 'critical/other existing credit'. The purpose is 'used car'. The credit_amount is 3368. The savings_status is '>=1000'. 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 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>15</td>
      <td>'critical/other existing credit'</td>
      <td>'used car'</td>
      <td>3368</td>
      <td>'&gt;=1000'</td>
      <td>'&gt;=7'</td>
      <td>3</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</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 & male & 'no checking' & 15 & 'critical/other existing credit' & 'used car' & 3368 & '>=1000' & '>=7' & 3 & none & 4 & 'no known property' & 23 & none & rent & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 23, 'checking_status': ""'no checking'"", 'credit_amount': 3368, 'credit_history': ""'critical/other existing credit'"", 'duration': 15, 'employment': ""'>=7'"", 'existing_credits': 2, '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': ""'used car'"", 'residence_since': 4, 'savings_status': ""'>=1000'""}",A 23-year-old male German Foreigner is applying for a loan of 3368 credits for 15 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 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 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.
17,female,'no checking',18,'critical/other existing credit',radio/tv,1098,'<100',unemployed,4,none,4,car,65,none,own,2,'unemp/unskilled non res',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 1098, savings_status is '<100', employment is unemployed, installment_commitment is 4, other_parties is none, 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 : female
 - checking_status : 'no checking'
 - duration : 18
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 1098
 - savings_status : '<100'
 - employment : unemployed
 - installment_commitment : 4
 - other_parties : none
 - 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 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 1098. 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 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>female</td>
      <td>'no checking'</td>
      <td>18</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>1098</td>
      <td>'&lt;100'</td>
      <td>unemployed</td>
      <td>4</td>
      <td>none</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 & female & 'no checking' & 18 & 'critical/other existing credit' & radio/tv & 1098 & '<100' & unemployed & 4 & none & 4 & car & 65 & none & own & 2 & 'unemp/unskilled non res' & 1 & none & yes \\
\end{tabular}
","{'age': 65, 'checking_status': ""'no checking'"", 'credit_amount': 1098, 'credit_history': ""'critical/other existing credit'"", 'duration': 18, 'employment': 'unemployed', 'existing_credits': 2, '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': 'car', 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'<100'""}",A 65-year-old female German Foreigner is applying for a loan of 1098 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 4%. 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 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.
18,female,'<0',18,'critical/other existing credit',furniture/equipment,2124,'<100','1<=X<4',4,none,4,'real estate',24,none,rent,2,skilled,1,none,yes,bad,"gender is female, checking_status is '<0', duration is 18, credit_history is 'critical/other existing credit', purpose is furniture/equipment, credit_amount is 2124, 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 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 : female
 - checking_status : '<0'
 - duration : 18
 - credit_history : 'critical/other existing credit'
 - purpose : furniture/equipment
 - credit_amount : 2124
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - 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 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 2124. 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 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>female</td>
      <td>'&lt;0'</td>
      <td>18</td>
      <td>'critical/other existing credit'</td>
      <td>furniture/equipment</td>
      <td>2124</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>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 & female & '<0' & 18 & 'critical/other existing credit' & furniture/equipment & 2124 & '<100' & '1<=X<4' & 4 & none & 4 & 'real estate' & 24 & none & rent & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 24, 'checking_status': ""'<0'"", 'credit_amount': 2124, 'credit_history': ""'critical/other existing credit'"", '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': '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 2124 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 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 some real estate property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
19,female,'<0',15,'delayed previously',furniture/equipment,3643,'<100','>=7',1,none,4,'life insurance',27,none,own,2,'unskilled resident',1,none,yes,good,"gender is female, checking_status is '<0', duration is 15, credit_history is 'delayed previously', purpose is furniture/equipment, credit_amount is 3643, 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 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 : female
 - checking_status : '<0'
 - duration : 15
 - credit_history : 'delayed previously'
 - purpose : furniture/equipment
 - credit_amount : 3643
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - 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 female. The checking_status is '<0'. The duration is 15. The credit_history is 'delayed previously'. The purpose is furniture/equipment. The credit_amount is 3643. 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 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>female</td>
      <td>'&lt;0'</td>
      <td>15</td>
      <td>'delayed previously'</td>
      <td>furniture/equipment</td>
      <td>3643</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>1</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</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 & female & '<0' & 15 & 'delayed previously' & furniture/equipment & 3643 & '<100' & '>=7' & 1 & none & 4 & 'life insurance' & 27 & none & own & 2 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 27, 'checking_status': ""'<0'"", 'credit_amount': 3643, 'credit_history': ""'delayed previously'"", 'duration': 15, 'employment': ""'>=7'"", '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': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'<100'""}",A 27-year-old female German Foreigner is applying for a loan of 3643 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 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 seven 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.
20,male,'no checking',48,'critical/other existing credit','used car',8858,'no known savings','4<=X<7',2,none,1,'no known property',35,none,'for free',2,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 'used car', credit_amount is 8858, savings_status is 'no known savings', 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 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 : 48
 - credit_history : 'critical/other existing credit'
 - purpose : 'used car'
 - credit_amount : 8858
 - savings_status : 'no known savings'
 - employment : '4<=X<7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 1
 - 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 48. The credit_history is 'critical/other existing credit'. The purpose is 'used car'. The credit_amount is 8858. 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 1. 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>48</td>
      <td>'critical/other existing credit'</td>
      <td>'used car'</td>
      <td>8858</td>
      <td>'no known savings'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>2</td>
      <td>none</td>
      <td>1</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' & 48 & 'critical/other existing credit' & 'used car' & 8858 & 'no known savings' & '4<=X<7' & 2 & none & 1 & 'no known property' & 35 & none & 'for free' & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 35, 'checking_status': ""'no checking'"", 'credit_amount': 8858, 'credit_history': ""'critical/other existing credit'"", 'duration': 48, 'employment': ""'4<=X<7'"", 'existing_credits': 2, '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': 1, 'savings_status': ""'no known savings'""}",A 35-year-old male German Foreigner is applying for a loan of 8858 credits for 48 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 four years but less than seven years. 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.
21,male,'<0',21,'delayed previously',education,3414,'<100','<1',2,none,1,'life insurance',26,none,own,2,skilled,1,none,yes,bad,"gender is male, checking_status is '<0', duration is 21, credit_history is 'delayed previously', purpose is education, credit_amount is 3414, 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 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 : '<0'
 - duration : 21
 - credit_history : 'delayed previously'
 - purpose : education
 - credit_amount : 3414
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'life insurance'
 - 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 '<0'. The duration is 21. The credit_history is 'delayed previously'. The purpose is education. The credit_amount is 3414. 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 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>'&lt;0'</td>
      <td>21</td>
      <td>'delayed previously'</td>
      <td>education</td>
      <td>3414</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>2</td>
      <td>none</td>
      <td>1</td>
      <td>'life insurance'</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 & '<0' & 21 & 'delayed previously' & education & 3414 & '<100' & '<1' & 2 & none & 1 & 'life insurance' & 26 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 26, 'checking_status': ""'<0'"", 'credit_amount': 3414, 'credit_history': ""'delayed previously'"", 'duration': 21, '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': ""'life insurance'"", 'purpose': 'education', 'residence_since': 1, 'savings_status': ""'<100'""}",A 26-year-old male German Foreigner is applying for a loan of 3414 credits for 21 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 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 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.
22,male,'no checking',18,'critical/other existing credit',radio/tv,6070,'<100','>=7',3,none,4,car,33,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 6070, savings_status is '<100', employment is '>=7', installment_commitment is 3, 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 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 : 6070
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 4
 - 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 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 6070. 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 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>male</td>
      <td>'no checking'</td>
      <td>18</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>6070</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>3</td>
      <td>none</td>
      <td>4</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 & male & 'no checking' & 18 & 'critical/other existing credit' & radio/tv & 6070 & '<100' & '>=7' & 3 & none & 4 & car & 33 & none & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 33, 'checking_status': ""'no checking'"", 'credit_amount': 6070, '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': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'<100'""}",A 33-year-old male German Foreigner is applying for a loan of 6070 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 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 a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
23,male,'no checking',4,'critical/other existing credit',radio/tv,1503,'<100','4<=X<7',2,none,1,'real estate',42,none,own,2,'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 1503, 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 2, 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 : 1503
 - 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 : 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 4. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 1503. 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 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>4</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>1503</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>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' & 4 & 'critical/other existing credit' & radio/tv & 1503 & '<100' & '4<=X<7' & 2 & none & 1 & 'real estate' & 42 & none & own & 2 & 'unskilled resident' & 2 & none & yes \\
\end{tabular}
","{'age': 42, 'checking_status': ""'no checking'"", 'credit_amount': 1503, 'credit_history': ""'critical/other existing credit'"", 'duration': 4, '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': 'radio/tv', 'residence_since': 1, 'savings_status': ""'<100'""}",A 42-year-old male German Foreigner is applying for a loan of 1503 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 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 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.
24,male,'no checking',9,'critical/other existing credit',radio/tv,3074,'no known savings','1<=X<4',1,none,2,'real estate',33,none,own,2,skilled,2,none,yes,good,"gender is male, checking_status is 'no checking', duration is 9, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 3074, 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 2, job is skilled, num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 9
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 3074
 - 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 : 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 9. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 3074. 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 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>9</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>3074</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>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' & 9 & 'critical/other existing credit' & radio/tv & 3074 & 'no known savings' & '1<=X<4' & 1 & none & 2 & 'real estate' & 33 & none & own & 2 & skilled & 2 & none & yes \\
\end{tabular}
","{'age': 33, 'checking_status': ""'no checking'"", 'credit_amount': 3074, 'credit_history': ""'critical/other existing credit'"", 'duration': 9, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'yes', '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': 'radio/tv', 'residence_since': 2, 'savings_status': ""'no known savings'""}",A 33-year-old male German Foreigner is applying for a loan of 3074 credits for 9 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. 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.
25,male,'<0',24,'existing paid',radio/tv,1823,'<100',unemployed,4,none,2,car,30,stores,own,1,'high qualif/self emp/mgmt',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 1823, 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 30, 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 none, foreign_worker is yes","- gender : male
 - checking_status : '<0'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1823
 - savings_status : '<100'
 - employment : unemployed
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 30
 - other_payment_plans : stores
 - housing : own
 - existing_credits : 1
 - job : 'high qualif/self emp/mgmt'
 - 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 1823. 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 30. 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 none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</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>1823</td>
      <td>'&lt;100'</td>
      <td>unemployed</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>30</td>
      <td>stores</td>
      <td>own</td>
      <td>1</td>
      <td>'high qualif/self emp/mgmt'</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 & 1823 & '<100' & unemployed & 4 & none & 2 & car & 30 & stores & own & 1 & 'high qualif/self emp/mgmt' & 2 & none & yes \\
\end{tabular}
","{'age': 30, 'checking_status': ""'<0'"", 'credit_amount': 1823, 'credit_history': ""'existing paid'"", 'duration': 24, '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': 'stores', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 30-year-old male German Foreigner is applying for a loan of 1823 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 4%. He has other installment plans with a store 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 a car. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
26,male,'0<=X<200',36,'existing paid',radio/tv,2323,'<100','4<=X<7',4,none,4,car,24,none,rent,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 radio/tv, credit_amount is 2323, 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 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 : 36
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 2323
 - 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 : 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 36. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 2323. 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 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>36</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>2323</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>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' & 36 & 'existing paid' & radio/tv & 2323 & '<100' & '4<=X<7' & 4 & none & 4 & car & 24 & none & rent & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 24, 'checking_status': ""'0<=X<200'"", 'credit_amount': 2323, 'credit_history': ""'existing paid'"", 'duration': 36, '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': 'car', 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'<100'""}",A 24-year-old male German Foreigner is applying for a loan of 2323 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 duly paid back credits received from this bank 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 a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
27,male,'>=200',42,'no credits/all paid',business,6289,'<100','<1',2,none,1,'life insurance',33,none,own,2,skilled,1,none,yes,good,"gender is male, checking_status is '>=200', duration is 42, credit_history is 'no credits/all paid', purpose is business, credit_amount is 6289, 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 33, 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 : '>=200'
 - duration : 42
 - credit_history : 'no credits/all paid'
 - purpose : business
 - credit_amount : 6289
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'life insurance'
 - age : 33
 - 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 '>=200'. The duration is 42. The credit_history is 'no credits/all paid'. The purpose is business. The credit_amount is 6289. 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 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 none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</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>'no credits/all paid'</td>
      <td>business</td>
      <td>6289</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>2</td>
      <td>none</td>
      <td>1</td>
      <td>'life insurance'</td>
      <td>33</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 & '>=200' & 42 & 'no credits/all paid' & business & 6289 & '<100' & '<1' & 2 & none & 1 & 'life insurance' & 33 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 33, 'checking_status': ""'>=200'"", 'credit_amount': 6289, 'credit_history': ""'no credits/all paid'"", 'duration': 42, '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': ""'life insurance'"", 'purpose': 'business', 'residence_since': 1, 'savings_status': ""'<100'""}",A 33-year-old male German Foreigner is applying for a loan of 6289 credits for 42 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 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 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.
28,male,'no checking',36,'critical/other existing credit','used car',10477,'no known savings','>=7',2,none,4,'no known property',42,none,'for free',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 'used car', credit_amount is 10477, 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 42, 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 : 36
 - credit_history : 'critical/other existing credit'
 - purpose : 'used car'
 - credit_amount : 10477
 - savings_status : 'no known savings'
 - 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 : 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 'used car'. The credit_amount is 10477. 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 42. 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>36</td>
      <td>'critical/other existing credit'</td>
      <td>'used car'</td>
      <td>10477</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>42</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' & 36 & 'critical/other existing credit' & 'used car' & 10477 & 'no known savings' & '>=7' & 2 & none & 4 & 'no known property' & 42 & none & 'for free' & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 42, 'checking_status': ""'no checking'"", 'credit_amount': 10477, 'credit_history': ""'critical/other existing credit'"", 'duration': 36, 'employment': ""'>=7'"", 'existing_credits': 2, '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': 'none', 'property_magnitude': ""'no known property'"", 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 42-year-old male German Foreigner is applying for a loan of 10477 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 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 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.
29,male,'no checking',12,'existing paid','new car',2859,'no known savings',unemployed,4,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 12, credit_history is 'existing paid', purpose is 'new car', credit_amount is 2859, savings_status is 'no known savings', employment is unemployed, 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 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 : 2859
 - savings_status : 'no known savings'
 - employment : unemployed
 - installment_commitment : 4
 - 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 12. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 2859. 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 '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>12</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>2859</td>
      <td>'no known savings'</td>
      <td>unemployed</td>
      <td>4</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' & 12 & 'existing paid' & 'new car' & 2859 & 'no known savings' & unemployed & 4 & 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': 2859, 'credit_history': ""'existing paid'"", 'duration': 12, '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': ""'no known property'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 38-year-old male German Foreigner is applying for a loan of 2859 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 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.
30,male,'0<=X<200',13,'critical/other existing credit',radio/tv,882,'<100','<1',4,guarantor,4,'real estate',23,none,own,2,skilled,1,none,yes,good,"gender is male, checking_status is '0<=X<200', duration is 13, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 882, savings_status is '<100', employment is '<1', installment_commitment is 4, other_parties is guarantor, 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 : male
 - checking_status : '0<=X<200'
 - duration : 13
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 882
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : guarantor
 - 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 male. The checking_status is '0<=X<200'. The duration is 13. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 882. The savings_status is '<100'. The employment is '<1'. The installment_commitment is 4. The other_parties is guarantor. 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>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>13</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>882</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>guarantor</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 & male & '0<=X<200' & 13 & 'critical/other existing credit' & radio/tv & 882 & '<100' & '<1' & 4 & guarantor & 4 & 'real estate' & 23 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 23, 'checking_status': ""'0<=X<200'"", 'credit_amount': 882, 'credit_history': ""'critical/other existing credit'"", 'duration': 13, 'employment': ""'<1'"", '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': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'<100'""}",A 23-year-old male German Foreigner is applying for a loan of 882 credits for 13 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 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 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.
31,female,'>=200',12,'existing paid',radio/tv,1881,'<100','1<=X<4',2,none,2,car,44,none,rent,1,'unskilled resident',1,yes,yes,good,"gender is female, checking_status is '>=200', duration is 12, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1881, 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 44, 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 : '>=200'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1881
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 44
 - 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 '>=200'. The duration is 12. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1881. 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 44. 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>'&gt;=200'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1881</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>44</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 & '>=200' & 12 & 'existing paid' & radio/tv & 1881 & '<100' & '1<=X<4' & 2 & none & 2 & car & 44 & none & rent & 1 & 'unskilled resident' & 1 & yes & yes \\
\end{tabular}
","{'age': 44, 'checking_status': ""'>=200'"", 'credit_amount': 1881, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'1<=X<4'"", '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': 'yes', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 44-year-old female German Foreigner is applying for a loan of 1881 credits for 12 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 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 2 years.  She owns a car. She owns a telephone and has 1 person that she is liable to provide maintenance for.
32,male,'no checking',18,'critical/other existing credit','new car',1530,'<100','1<=X<4',3,none,2,'life insurance',32,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 1530, 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 32, 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 : 1530
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 32
 - 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 1530. 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 32. 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>1530</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>32</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' & 1530 & '<100' & '1<=X<4' & 3 & none & 2 & 'life insurance' & 32 & bank & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 32, 'checking_status': ""'no checking'"", 'credit_amount': 1530, 'credit_history': ""'critical/other existing credit'"", 'duration': 18, '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': 'bank', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'<100'""}",A 32-year-old male German Foreigner is applying for a loan of 1530 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 3%. 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 life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
33,male,'>=200',6,'critical/other existing credit','new car',1323,'100<=X<500','>=7',2,none,4,car,28,none,own,2,skilled,2,yes,yes,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 1323, 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 28, 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 : '>=200'
 - duration : 6
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 1323
 - savings_status : '100<=X<500'
 - employment : '>=7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 28
 - 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 '>=200'. The duration is 6. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 1323. 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 28. 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>'&gt;=200'</td>
      <td>6</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>1323</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>28</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 & '>=200' & 6 & 'critical/other existing credit' & 'new car' & 1323 & '100<=X<500' & '>=7' & 2 & none & 4 & car & 28 & none & own & 2 & skilled & 2 & yes & yes \\
\end{tabular}
","{'age': 28, 'checking_status': ""'>=200'"", 'credit_amount': 1323, 'credit_history': ""'critical/other existing credit'"", 'duration': 6, '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': 4, 'savings_status': ""'100<=X<500'""}",A 28-year-old male German Foreigner is applying for a loan of 1323 credits for 6 months for new car 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 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 4 years.  He owns a car. He owns a telephone and has 2 people that he is liable to provide maintenance for.
34,male,'no checking',36,'existing paid','new car',3079,'no known savings','1<=X<4',4,none,4,'real estate',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 3079, 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 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 : 3079
 - savings_status : 'no known savings'
 - 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 : 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 3079. 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 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>3079</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>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' & 3079 & 'no known savings' & '1<=X<4' & 4 & none & 4 & 'real estate' & 36 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 36, 'checking_status': ""'no checking'"", 'credit_amount': 3079, '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': ""'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 3079 credits for 36 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 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.
35,male,'0<=X<200',24,'existing paid','used car',2760,'no known savings','>=7',4,none,4,'no known property',36,bank,'for free',1,skilled,1,yes,yes,good,"gender is male, checking_status is '0<=X<200', duration is 24, credit_history is 'existing paid', purpose is 'used car', credit_amount is 2760, 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 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 : '0<=X<200'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : 'used car'
 - credit_amount : 2760
 - 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 : 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 '0<=X<200'. The duration is 24. The credit_history is 'existing paid'. The purpose is 'used car'. The credit_amount is 2760. 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 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>'0&lt;=X&lt;200'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>'used car'</td>
      <td>2760</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>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 & '0<=X<200' & 24 & 'existing paid' & 'used car' & 2760 & 'no known savings' & '>=7' & 4 & none & 4 & 'no known property' & 36 & bank & 'for free' & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 36, 'checking_status': ""'0<=X<200'"", 'credit_amount': 2760, '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': 1, '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 36-year-old male German Foreigner is applying for a loan of 2760 credits for 24 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 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 1 person that he is liable to provide maintenance for.
36,male,'0<=X<200',36,'delayed previously','new car',2862,'100<=X<500','>=7',4,none,3,'no known property',30,none,'for free',1,skilled,1,none,yes,good,"gender is male, checking_status is '0<=X<200', duration is 36, credit_history is 'delayed previously', purpose is 'new car', credit_amount is 2862, savings_status is '100<=X<500', employment is '>=7', 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 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 : 36
 - credit_history : 'delayed previously'
 - purpose : 'new car'
 - credit_amount : 2862
 - savings_status : '100<=X<500'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'no known property'
 - age : 30
 - 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 36. The credit_history is 'delayed previously'. The purpose is 'new car'. The credit_amount is 2862. 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 3. 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 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</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>2862</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>'no known property'</td>
      <td>30</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' & 36 & 'delayed previously' & 'new car' & 2862 & '100<=X<500' & '>=7' & 4 & none & 3 & 'no known property' & 30 & none & 'for free' & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 30, 'checking_status': ""'0<=X<200'"", 'credit_amount': 2862, 'credit_history': ""'delayed previously'"", 'duration': 36, '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': ""'new car'"", 'residence_since': 3, 'savings_status': ""'100<=X<500'""}",A 30-year-old male German Foreigner is applying for a loan of 2862 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 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 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.
37,female,'no checking',12,'existing paid','new car',2133,'no known savings','>=7',4,none,4,'no known property',52,none,'for free',1,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is female, checking_status is 'no checking', duration is 12, credit_history is 'existing paid', purpose is 'new car', credit_amount is 2133, 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 52, 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 : 'no checking'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 2133
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 52
 - 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 'no checking'. The duration is 12. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 2133. 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 52. 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>'no checking'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>2133</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>52</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 & 'no checking' & 12 & 'existing paid' & 'new car' & 2133 & 'no known savings' & '>=7' & 4 & none & 4 & 'no known property' & 52 & none & 'for free' & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 52, 'checking_status': ""'no checking'"", 'credit_amount': 2133, 'credit_history': ""'existing paid'"", 'duration': 12, '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': ""'new car'"", 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 52-year-old female German Foreigner is applying for a loan of 2133 credits for 12 months for new 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 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 4 years.  She owns no known property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
38,male,'no checking',20,'critical/other existing credit','new car',3485,'no known savings','<1',2,none,4,'real estate',44,none,own,2,skilled,1,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 20, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 3485, savings_status is 'no known savings', employment is '<1', 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 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 20
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 3485
 - savings_status : 'no known savings'
 - employment : '<1'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - 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 male. The checking_status is 'no checking'. The duration is 20. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 3485. 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 'real estate'. 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>male</td>
      <td>'no checking'</td>
      <td>20</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>3485</td>
      <td>'no known savings'</td>
      <td>'&lt;1'</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</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 & male & 'no checking' & 20 & 'critical/other existing credit' & 'new car' & 3485 & 'no known savings' & '<1' & 2 & none & 4 & 'real estate' & 44 & none & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 44, 'checking_status': ""'no checking'"", 'credit_amount': 3485, 'credit_history': ""'critical/other existing credit'"", 'duration': 20, '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': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 44-year-old male German Foreigner is applying for a loan of 3485 credits for 20 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 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 4 years.  He owns some real estate property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
39,female,'<0',36,'critical/other existing credit',furniture/equipment,6229,'<100','<1',4,'co applicant',4,'no known property',23,none,rent,2,'unskilled resident',1,yes,yes,bad,"gender is female, checking_status is '<0', duration is 36, credit_history is 'critical/other existing credit', purpose is furniture/equipment, credit_amount is 6229, savings_status is '<100', employment is '<1', installment_commitment is 4, other_parties is 'co applicant', residence_since is 4, property_magnitude is 'no known property', 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 yes, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 36
 - credit_history : 'critical/other existing credit'
 - purpose : furniture/equipment
 - credit_amount : 6229
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : 'co applicant'
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 23
 - other_payment_plans : none
 - 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'. The duration is 36. The credit_history is 'critical/other existing credit'. The purpose is furniture/equipment. The credit_amount is 6229. The savings_status is '<100'. The employment is '<1'. 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 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 yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</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>furniture/equipment</td>
      <td>6229</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>'co applicant'</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>23</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 & female & '<0' & 36 & 'critical/other existing credit' & furniture/equipment & 6229 & '<100' & '<1' & 4 & 'co applicant' & 4 & 'no known property' & 23 & none & rent & 2 & 'unskilled resident' & 1 & yes & yes \\
\end{tabular}
","{'age': 23, 'checking_status': ""'<0'"", 'credit_amount': 6229, 'credit_history': ""'critical/other existing credit'"", 'duration': 36, 'employment': ""'<1'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': ""'co applicant'"", 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'<100'""}",A 23-year-old female German Foreigner is applying for a loan of 6229 credits for 36 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 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 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 no known property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
40,male,'>=200',36,'existing paid',radio/tv,4473,'<100','>=7',4,none,2,car,31,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 4473, 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 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 : male
 - checking_status : '>=200'
 - duration : 36
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 4473
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - 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 : 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 4473. 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 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>male</td>
      <td>'&gt;=200'</td>
      <td>36</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>4473</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</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>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & 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 & 4473 & '<100' & '>=7' & 4 & none & 2 & car & 31 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 31, 'checking_status': ""'>=200'"", 'credit_amount': 4473, '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 31-year-old male German Foreigner is applying for a loan of 4473 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 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.
41,female,'no checking',12,'critical/other existing credit',education,2012,'no known savings','4<=X<7',4,none,2,car,61,none,own,1,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 education, credit_amount is 2012, 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 car, age is 61, 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 : 'critical/other existing credit'
 - purpose : education
 - credit_amount : 2012
 - savings_status : 'no known savings'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 61
 - 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 'critical/other existing credit'. The purpose is education. The credit_amount is 2012. 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 car. The age is 61. 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>'critical/other existing credit'</td>
      <td>education</td>
      <td>2012</td>
      <td>'no known savings'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>61</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 & 'critical/other existing credit' & education & 2012 & 'no known savings' & '4<=X<7' & 4 & none & 2 & car & 61 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 61, 'checking_status': ""'no checking'"", 'credit_amount': 2012, 'credit_history': ""'critical/other existing credit'"", 'duration': 12, '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': 'car', 'purpose': 'education', 'residence_since': 2, 'savings_status': ""'no known savings'""}",A 61-year-old female German Foreigner is applying for a loan of 2012 credits for 12 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 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 2 years.  She owns a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
42,female,'>=200',24,'existing paid',furniture/equipment,3749,'<100','<1',2,none,4,car,26,none,own,1,skilled,1,none,yes,good,"gender is female, checking_status is '>=200', duration is 24, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 3749, 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 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 : '>=200'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 3749
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - 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 '>=200'. The duration is 24. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 3749. 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 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>'&gt;=200'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>3749</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>2</td>
      <td>none</td>
      <td>4</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 & '>=200' & 24 & 'existing paid' & furniture/equipment & 3749 & '<100' & '<1' & 2 & none & 4 & car & 26 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 26, 'checking_status': ""'>=200'"", 'credit_amount': 3749, 'credit_history': ""'existing paid'"", 'duration': 24, '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': '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 3749 credits for 24 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 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 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.
43,female,'no checking',30,'critical/other existing credit',radio/tv,2831,'<100','1<=X<4',4,none,2,car,33,none,own,1,skilled,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 2831, 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 yes, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 30
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 2831
 - 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 : 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 2831. 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 yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</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>2831</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>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & 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 & 2831 & '<100' & '1<=X<4' & 4 & none & 2 & car & 33 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 33, 'checking_status': ""'no checking'"", 'credit_amount': 2831, 'credit_history': ""'critical/other existing credit'"", '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': 'yes', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 33-year-old female German Foreigner is applying for a loan of 2831 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 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.
44,male,'0<=X<200',21,'critical/other existing credit',furniture/equipment,2745,'>=1000','4<=X<7',3,none,2,car,32,none,own,2,skilled,1,yes,yes,good,"gender is male, checking_status is '0<=X<200', duration is 21, credit_history is 'critical/other existing credit', purpose is furniture/equipment, credit_amount is 2745, savings_status is '>=1000', employment is '4<=X<7', 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 2, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 21
 - credit_history : 'critical/other existing credit'
 - purpose : furniture/equipment
 - credit_amount : 2745
 - savings_status : '>=1000'
 - employment : '4<=X<7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 32
 - 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 21. The credit_history is 'critical/other existing credit'. The purpose is furniture/equipment. The credit_amount is 2745. 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 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 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</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>furniture/equipment</td>
      <td>2745</td>
      <td>'&gt;=1000'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>3</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>32</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' & 21 & 'critical/other existing credit' & furniture/equipment & 2745 & '>=1000' & '4<=X<7' & 3 & none & 2 & car & 32 & none & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 32, 'checking_status': ""'0<=X<200'"", 'credit_amount': 2745, 'credit_history': ""'critical/other existing credit'"", 'duration': 21, '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': 'car', 'purpose': 'furniture/equipment', 'residence_since': 2, 'savings_status': ""'>=1000'""}",A 32-year-old male German Foreigner is applying for a loan of 2745 credits for 21 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 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 2 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
45,male,'<0',12,'existing paid',furniture/equipment,1262,'no known savings','>=7',2,none,4,'life insurance',49,none,own,1,'unskilled resident',1,yes,yes,good,"gender is male, checking_status is '<0', duration is 12, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 1262, 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 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 : 12
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 1262
 - 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 : 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 12. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 1262. 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 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>12</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>1262</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>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' & 12 & 'existing paid' & furniture/equipment & 1262 & 'no known savings' & '>=7' & 2 & none & 4 & 'life insurance' & 49 & none & own & 1 & 'unskilled resident' & 1 & yes & yes \\
\end{tabular}
","{'age': 49, 'checking_status': ""'<0'"", 'credit_amount': 1262, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'>=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': '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 1262 credits for 12 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 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 owns a telephone and has 1 person that he is liable to provide maintenance for.
46,male,'<0',24,'all paid',furniture/equipment,6872,'<100','<1',2,none,1,'life insurance',55,bank,own,1,skilled,1,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 6872, 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 55, 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 : 24
 - credit_history : 'all paid'
 - purpose : furniture/equipment
 - credit_amount : 6872
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'life insurance'
 - age : 55
 - 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 24. The credit_history is 'all paid'. The purpose is furniture/equipment. The credit_amount is 6872. 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 55. 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>24</td>
      <td>'all paid'</td>
      <td>furniture/equipment</td>
      <td>6872</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>2</td>
      <td>none</td>
      <td>1</td>
      <td>'life insurance'</td>
      <td>55</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' & 24 & 'all paid' & furniture/equipment & 6872 & '<100' & '<1' & 2 & none & 1 & 'life insurance' & 55 & bank & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 55, 'checking_status': ""'<0'"", 'credit_amount': 6872, 'credit_history': ""'all paid'"", 'duration': 24, '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': 'bank', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 1, 'savings_status': ""'<100'""}",A 55-year-old male German Foreigner is applying for a loan of 6872 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 2%. 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 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.
47,female,'0<=X<200',9,'existing paid',furniture/equipment,918,'<100','1<=X<4',4,none,1,'life insurance',30,none,own,1,skilled,1,none,yes,bad,"gender is female, checking_status is '0<=X<200', duration is 9, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 918, savings_status is '<100', employment is '1<=X<4', 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 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 : furniture/equipment
 - credit_amount : 918
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 1
 - 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<=X<200'. The duration is 9. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 918. 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 '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>'0&lt;=X&lt;200'</td>
      <td>9</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>918</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>1</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<=X<200' & 9 & 'existing paid' & furniture/equipment & 918 & '<100' & '1<=X<4' & 4 & none & 1 & 'life insurance' & 30 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 30, 'checking_status': ""'0<=X<200'"", 'credit_amount': 918, 'credit_history': ""'existing paid'"", 'duration': 9, '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': 'furniture/equipment', 'residence_since': 1, 'savings_status': ""'<100'""}",A 30-year-old female German Foreigner is applying for a loan of 918 credits for 9 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 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 life insurance property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
48,female,'>=200',12,'all paid',business,609,'<100','<1',4,none,1,'real estate',26,none,own,1,'unemp/unskilled non res',1,none,yes,bad,"gender is female, checking_status is '>=200', duration is 12, credit_history is 'all paid', purpose is business, credit_amount is 609, 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 'unemp/unskilled non res', num_dependents is 1, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '>=200'
 - duration : 12
 - credit_history : 'all paid'
 - purpose : business
 - credit_amount : 609
 - 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 : 'unemp/unskilled non res'
 - 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 business. The credit_amount is 609. 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 '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>'&gt;=200'</td>
      <td>12</td>
      <td>'all paid'</td>
      <td>business</td>
      <td>609</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>'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 & '>=200' & 12 & 'all paid' & business & 609 & '<100' & '<1' & 4 & none & 1 & 'real estate' & 26 & none & own & 1 & 'unemp/unskilled non res' & 1 & none & yes \\
\end{tabular}
","{'age': 26, 'checking_status': ""'>=200'"", 'credit_amount': 609, 'credit_history': ""'all paid'"", 'duration': 12, 'employment': ""'<1'"", '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': 'business', 'residence_since': 1, 'savings_status': ""'<100'""}",A 26-year-old female German Foreigner is applying for a loan of 609 credits for 12 months for business 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 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 less than one years 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.
49,female,'no checking',4,'existing paid',furniture/equipment,601,'<100','<1',1,none,3,'real estate',23,none,rent,1,'unskilled resident',2,none,yes,good,"gender is female, checking_status is 'no checking', duration is 4, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 601, 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 1, job is 'unskilled resident', num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 4
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 601
 - 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 : 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 4. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 601. 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 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>4</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>601</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>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' & 4 & 'existing paid' & furniture/equipment & 601 & '<100' & '<1' & 1 & none & 3 & 'real estate' & 23 & none & rent & 1 & 'unskilled resident' & 2 & none & yes \\
\end{tabular}
","{'age': 23, 'checking_status': ""'no checking'"", 'credit_amount': 601, 'credit_history': ""'existing paid'"", 'duration': 4, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', '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': 'furniture/equipment', 'residence_since': 3, 'savings_status': ""'<100'""}",A 23-year-old female German Foreigner is applying for a loan of 601 credits for 4 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 and is recognized as an unskilled resident individual. She has lived in a rented apartment for 3 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.
50,female,'<0',24,'existing paid',furniture/equipment,3234,'<100','<1',4,none,4,'real estate',23,none,rent,1,'unskilled resident',1,yes,yes,bad,"gender is female, checking_status is '<0', duration is 24, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 3234, 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 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 : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 3234
 - 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 : 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 'existing paid'. The purpose is furniture/equipment. The credit_amount is 3234. 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 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>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>3234</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>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 & 'existing paid' & furniture/equipment & 3234 & '<100' & '<1' & 4 & none & 4 & 'real estate' & 23 & none & rent & 1 & 'unskilled resident' & 1 & yes & yes \\
\end{tabular}
","{'age': 23, 'checking_status': ""'<0'"", 'credit_amount': 3234, 'credit_history': ""'existing paid'"", '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': ""'real estate'"", 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'<100'""}",A 23-year-old female German Foreigner is applying for a loan of 3234 credits for 24 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 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.
51,male,'no checking',30,'critical/other existing credit',radio/tv,6742,'no known savings','4<=X<7',2,none,3,'life insurance',36,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 radio/tv, credit_amount is 6742, savings_status is 'no known savings', employment is '4<=X<7', installment_commitment is 2, 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 none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 30
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 6742
 - savings_status : 'no known savings'
 - employment : '4<=X<7'
 - installment_commitment : 2
 - 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 : 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 6742. 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 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 none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</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>6742</td>
      <td>'no known savings'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>2</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>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & 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 & 6742 & 'no known savings' & '4<=X<7' & 2 & none & 3 & 'life insurance' & 36 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 36, 'checking_status': ""'no checking'"", 'credit_amount': 6742, 'credit_history': ""'critical/other existing credit'"", 'duration': 30, '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': 'radio/tv', 'residence_since': 3, 'savings_status': ""'no known savings'""}",A 36-year-old male German Foreigner is applying for a loan of 6742 credits for 30 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 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.
52,female,'<0',24,'existing paid',radio/tv,1603,'<100','>=7',4,none,4,car,55,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 1603, 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 55, 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 : 1603
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 55
 - 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 1603. 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 55. 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>1603</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>55</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 & 1603 & '<100' & '>=7' & 4 & none & 4 & car & 55 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 55, 'checking_status': ""'<0'"", 'credit_amount': 1603, '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': 'none', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'<100'""}",A 55-year-old female German Foreigner is applying for a loan of 1603 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 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.
53,male,'0<=X<200',36,'critical/other existing credit','new car',2820,'<100','<1',4,none,4,car,27,none,own,2,skilled,1,none,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 36, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 2820, 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 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 : 36
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 2820
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - 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 '0<=X<200'. The duration is 36. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 2820. 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 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>36</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>2820</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</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>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_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' & 'new car' & 2820 & '<100' & '<1' & 4 & none & 4 & car & 27 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 27, 'checking_status': ""'0<=X<200'"", 'credit_amount': 2820, 'credit_history': ""'critical/other existing credit'"", 'duration': 36, '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': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 27-year-old male German Foreigner is applying for a loan of 2820 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 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. 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.
54,male,'0<=X<200',12,'critical/other existing credit','used car',1804,'100<=X<500','<1',3,none,4,'life insurance',44,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 'used car', credit_amount is 1804, savings_status is '100<=X<500', employment is '<1', installment_commitment is 3, other_parties is none, residence_since is 4, property_magnitude is 'life insurance', 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 none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 12
 - credit_history : 'critical/other existing credit'
 - purpose : 'used car'
 - credit_amount : 1804
 - savings_status : '100<=X<500'
 - employment : '<1'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 44
 - 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 'used car'. The credit_amount is 1804. 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 4. The property_magnitude is 'life insurance'. 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 none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</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>1804</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'&lt;1'</td>
      <td>3</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>44</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' & 'used car' & 1804 & '100<=X<500' & '<1' & 3 & none & 4 & 'life insurance' & 44 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 44, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1804, 'credit_history': ""'critical/other existing credit'"", 'duration': 12, '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': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'100<=X<500'""}",A 44-year-old male German Foreigner is applying for a loan of 1804 credits for 12 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 employed for less than one 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.
55,male,'0<=X<200',18,'existing paid',business,1913,'>=1000','<1',3,none,3,'real estate',36,bank,own,1,skilled,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 1913, savings_status is '>=1000', employment is '<1', installment_commitment is 3, other_parties is none, residence_since is 3, property_magnitude is 'real estate', age is 36, 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<=X<200'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : business
 - credit_amount : 1913
 - savings_status : '>=1000'
 - employment : '<1'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'real estate'
 - age : 36
 - 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<=X<200'. The duration is 18. The credit_history is 'existing paid'. The purpose is business. The credit_amount is 1913. The savings_status is '>=1000'. 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 36. 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>'0&lt;=X&lt;200'</td>
      <td>18</td>
      <td>'existing paid'</td>
      <td>business</td>
      <td>1913</td>
      <td>'&gt;=1000'</td>
      <td>'&lt;1'</td>
      <td>3</td>
      <td>none</td>
      <td>3</td>
      <td>'real estate'</td>
      <td>36</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<=X<200' & 18 & 'existing paid' & business & 1913 & '>=1000' & '<1' & 3 & none & 3 & 'real estate' & 36 & bank & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 36, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1913, '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': 'bank', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': 'business', 'residence_since': 3, 'savings_status': ""'>=1000'""}",A 36-year-old male German Foreigner is applying for a loan of 1913 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 3%. 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 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.
56,male,'<0',6,'critical/other existing credit','new car',3676,'<100','1<=X<4',1,none,3,'real estate',37,none,rent,3,skilled,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 3676, savings_status is '<100', employment is '1<=X<4', installment_commitment is 1, other_parties is none, residence_since is 3, property_magnitude is 'real estate', age is 37, other_payment_plans is none, housing is rent, existing_credits is 3, job is skilled, 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 : 3676
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'real estate'
 - age : 37
 - other_payment_plans : none
 - housing : rent
 - existing_credits : 3
 - 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 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 3676. 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 'real estate'. The age is 37. The other_payment_plans is none. The housing is rent. The existing_credits is 3. 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>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>3676</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>1</td>
      <td>none</td>
      <td>3</td>
      <td>'real estate'</td>
      <td>37</td>
      <td>none</td>
      <td>rent</td>
      <td>3</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 & 'critical/other existing credit' & 'new car' & 3676 & '<100' & '1<=X<4' & 1 & none & 3 & 'real estate' & 37 & none & rent & 3 & skilled & 2 & none & yes \\
\end{tabular}
","{'age': 37, 'checking_status': ""'<0'"", 'credit_amount': 3676, 'credit_history': ""'critical/other existing credit'"", 'duration': 6, 'employment': ""'1<=X<4'"", 'existing_credits': 3, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', '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': 3, 'savings_status': ""'<100'""}",A 37-year-old male German Foreigner is applying for a loan of 3676 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 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. 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.
57,female,'0<=X<200',12,'existing paid','new car',1295,'<100','<1',3,none,1,car,25,none,rent,1,skilled,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 1295, savings_status is '<100', employment is '<1', installment_commitment is 3, other_parties is none, residence_since is 1, property_magnitude is car, 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<=X<200'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 1295
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 1
 - property_magnitude : car
 - 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<=X<200'. The duration is 12. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 1295. 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 car. 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>'0&lt;=X&lt;200'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>1295</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>3</td>
      <td>none</td>
      <td>1</td>
      <td>car</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<=X<200' & 12 & 'existing paid' & 'new car' & 1295 & '<100' & '<1' & 3 & none & 1 & car & 25 & none & rent & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 25, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1295, 'credit_history': ""'existing paid'"", 'duration': 12, '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': ""'new car'"", 'residence_since': 1, 'savings_status': ""'<100'""}",A 25-year-old female German Foreigner is applying for a loan of 1295 credits for 12 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. 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.
58,female,'<0',12,'existing paid',education,1200,'no known savings','1<=X<4',4,none,4,'life insurance',23,bank,rent,1,skilled,1,yes,yes,good,"gender is female, checking_status is '<0', duration is 12, credit_history is 'existing paid', purpose is education, credit_amount is 1200, 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 'life insurance', age is 23, 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 : female
 - checking_status : '<0'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : education
 - credit_amount : 1200
 - savings_status : 'no known savings'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 23
 - other_payment_plans : bank
 - 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 12. The credit_history is 'existing paid'. The purpose is education. The credit_amount is 1200. 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 'life insurance'. The age is 23. 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>female</td>
      <td>'&lt;0'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>education</td>
      <td>1200</td>
      <td>'no known savings'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>23</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 & female & '<0' & 12 & 'existing paid' & education & 1200 & 'no known savings' & '1<=X<4' & 4 & none & 4 & 'life insurance' & 23 & bank & rent & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 23, 'checking_status': ""'<0'"", 'credit_amount': 1200, 'credit_history': ""'existing paid'"", 'duration': 12, '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': 'bank', 'own_telephone': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': 'education', 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 23-year-old female German Foreigner is applying for a loan of 1200 credits for 12 months for education 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 one year but less than four 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.
59,male,'no checking',12,'existing paid','new car',1101,'<100','1<=X<4',3,none,2,'real estate',27,none,own,2,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 1101, 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 yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 1101
 - 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 : 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 1101. 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 yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</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>1101</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>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & 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' & 1101 & '<100' & '1<=X<4' & 3 & none & 2 & 'real estate' & 27 & none & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 27, 'checking_status': ""'no checking'"", 'credit_amount': 1101, 'credit_history': ""'existing paid'"", 'duration': 12, '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': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'<100'""}",A 27-year-old male German Foreigner is applying for a loan of 1101 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 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 some real estate property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
60,female,'no checking',12,'existing paid','used car',4675,'no known savings','<1',1,none,4,car,20,none,rent,1,skilled,1,none,yes,good,"gender is female, checking_status is 'no checking', duration is 12, credit_history is 'existing paid', purpose is 'used car', credit_amount is 4675, savings_status is 'no known savings', employment is '<1', 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 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 : 12
 - credit_history : 'existing paid'
 - purpose : 'used car'
 - credit_amount : 4675
 - savings_status : 'no known savings'
 - employment : '<1'
 - installment_commitment : 1
 - 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 'no checking'. The duration is 12. The credit_history is 'existing paid'. The purpose is 'used car'. The credit_amount is 4675. 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 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>'no checking'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>'used car'</td>
      <td>4675</td>
      <td>'no known savings'</td>
      <td>'&lt;1'</td>
      <td>1</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 & 'no checking' & 12 & 'existing paid' & 'used car' & 4675 & 'no known savings' & '<1' & 1 & none & 4 & car & 20 & none & rent & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 20, 'checking_status': ""'no checking'"", 'credit_amount': 4675, 'credit_history': ""'existing paid'"", 'duration': 12, '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': ""'used car'"", 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 20-year-old female German Foreigner is applying for a loan of 4675 credits for 12 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 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.
61,male,'0<=X<200',36,'delayed previously','new car',2225,'<100','>=7',4,none,4,'no known property',57,bank,'for free',2,skilled,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 2225, 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 57, other_payment_plans is bank, 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<=X<200'
 - duration : 36
 - credit_history : 'delayed previously'
 - purpose : 'new car'
 - credit_amount : 2225
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 57
 - other_payment_plans : bank
 - 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<=X<200'. The duration is 36. The credit_history is 'delayed previously'. The purpose is 'new car'. The credit_amount is 2225. 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 57. 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 yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</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>2225</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>57</td>
      <td>bank</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<=X<200' & 36 & 'delayed previously' & 'new car' & 2225 & '<100' & '>=7' & 4 & none & 4 & 'no known property' & 57 & bank & 'for free' & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 57, 'checking_status': ""'0<=X<200'"", 'credit_amount': 2225, 'credit_history': ""'delayed previously'"", 'duration': 36, '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': 'bank', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 57-year-old male German Foreigner is applying for a loan of 2225 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 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 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.
62,male,'<0',30,'existing paid',furniture/equipment,6350,'no known savings','>=7',4,none,4,'life insurance',31,none,own,1,skilled,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 6350, 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 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 : male
 - checking_status : '<0'
 - duration : 30
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 6350
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - 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 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 6350. 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 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>male</td>
      <td>'&lt;0'</td>
      <td>30</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>6350</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</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 & male & '<0' & 30 & 'existing paid' & furniture/equipment & 6350 & 'no known savings' & '>=7' & 4 & none & 4 & 'life insurance' & 31 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 31, 'checking_status': ""'<0'"", 'credit_amount': 6350, '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': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 31-year-old male German Foreigner is applying for a loan of 6350 credits for 30 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 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.
63,male,'no checking',12,'existing paid','used car',1413,'>=1000','4<=X<7',3,none,2,'life insurance',55,none,own,1,skilled,1,none,no,good,"gender is male, checking_status is 'no checking', duration is 12, credit_history is 'existing paid', purpose is 'used car', credit_amount is 1413, 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 55, 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 : 12
 - credit_history : 'existing paid'
 - purpose : 'used car'
 - credit_amount : 1413
 - savings_status : '>=1000'
 - employment : '4<=X<7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 55
 - 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 12. The credit_history is 'existing paid'. The purpose is 'used car'. The credit_amount is 1413. 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 55. 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>12</td>
      <td>'existing paid'</td>
      <td>'used car'</td>
      <td>1413</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>55</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' & 12 & 'existing paid' & 'used car' & 1413 & '>=1000' & '4<=X<7' & 3 & none & 2 & 'life insurance' & 55 & none & own & 1 & skilled & 1 & none & no \\
\end{tabular}
","{'age': 55, 'checking_status': ""'no checking'"", 'credit_amount': 1413, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'4<=X<7'"", 'existing_credits': 1, 'foreign_worker': 'no', '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': ""'used car'"", 'residence_since': 2, 'savings_status': ""'>=1000'""}",A 55-year-old male German Citizen is applying for a loan of 1413 credits for 12 months for used car 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 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.
64,female,'>=200',10,'existing paid',furniture/equipment,1275,'<100','<1',4,none,2,'life insurance',23,none,own,1,skilled,1,none,yes,good,"gender is female, checking_status is '>=200', duration is 10, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 1275, 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 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 : '>=200'
 - duration : 10
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 1275
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - 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 '>=200'. The duration is 10. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 1275. 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 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>'&gt;=200'</td>
      <td>10</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>1275</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>2</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 & '>=200' & 10 & 'existing paid' & furniture/equipment & 1275 & '<100' & '<1' & 4 & none & 2 & 'life insurance' & 23 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 23, 'checking_status': ""'>=200'"", 'credit_amount': 1275, 'credit_history': ""'existing paid'"", 'duration': 10, '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': 'furniture/equipment', 'residence_since': 2, 'savings_status': ""'<100'""}",A 23-year-old female German Foreigner is applying for a loan of 1275 credits for 10 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 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 does not own a telephone and has 1 person that she is liable to provide maintenance for.
65,male,'0<=X<200',24,'existing paid',radio/tv,2896,'100<=X<500','<1',2,none,1,car,29,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 radio/tv, credit_amount is 2896, savings_status is '100<=X<500', employment is '<1', installment_commitment is 2, other_parties is none, residence_since is 1, property_magnitude is car, 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 : 24
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 2896
 - savings_status : '100<=X<500'
 - employment : '<1'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 1
 - property_magnitude : car
 - 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 24. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 2896. 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 1. The property_magnitude is car. 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>24</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>2896</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'&lt;1'</td>
      <td>2</td>
      <td>none</td>
      <td>1</td>
      <td>car</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' & 24 & 'existing paid' & radio/tv & 2896 & '100<=X<500' & '<1' & 2 & none & 1 & car & 29 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 29, 'checking_status': ""'0<=X<200'"", 'credit_amount': 2896, 'credit_history': ""'existing paid'"", 'duration': 24, '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': 'car', 'purpose': 'radio/tv', 'residence_since': 1, 'savings_status': ""'100<=X<500'""}",A 29-year-old male German Foreigner is applying for a loan of 2896 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 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 a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
66,male,'no checking',21,'existing paid',furniture/equipment,2241,'<100','>=7',4,none,2,'real estate',50,none,own,2,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 21, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 2241, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is none, residence_since is 2, 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 none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 21
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 2241
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 50
 - 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 21. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 2241. 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 '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 none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</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>furniture/equipment</td>
      <td>2241</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>50</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' & 21 & 'existing paid' & furniture/equipment & 2241 & '<100' & '>=7' & 4 & none & 2 & 'real estate' & 50 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 50, 'checking_status': ""'no checking'"", 'credit_amount': 2241, 'credit_history': ""'existing paid'"", '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': 'furniture/equipment', 'residence_since': 2, 'savings_status': ""'<100'""}",A 50-year-old male German Foreigner is applying for a loan of 2241 credits for 21 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 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 some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
67,female,'<0',18,'existing paid',radio/tv,2389,'<100','<1',4,none,1,car,27,stores,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 2389, 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 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 : '<0'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 2389
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 1
 - 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 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 2389. 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 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>'&lt;0'</td>
      <td>18</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>2389</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>1</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 & female & '<0' & 18 & 'existing paid' & radio/tv & 2389 & '<100' & '<1' & 4 & none & 1 & car & 27 & stores & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 27, 'checking_status': ""'<0'"", 'credit_amount': 2389, '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': 'stores', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 1, 'savings_status': ""'<100'""}",A 27-year-old female German Foreigner is applying for a loan of 2389 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 store 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 a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
68,female,'no checking',36,'existing paid','used car',8133,'<100','1<=X<4',1,none,2,'life insurance',30,bank,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 'used car', credit_amount is 8133, 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 30, 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 : 'no checking'
 - duration : 36
 - credit_history : 'existing paid'
 - purpose : 'used car'
 - credit_amount : 8133
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 30
 - 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 'no checking'. The duration is 36. The credit_history is 'existing paid'. The purpose is 'used car'. The credit_amount is 8133. 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 30. 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>'no checking'</td>
      <td>36</td>
      <td>'existing paid'</td>
      <td>'used car'</td>
      <td>8133</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>30</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 & 'no checking' & 36 & 'existing paid' & 'used car' & 8133 & '<100' & '1<=X<4' & 1 & none & 2 & 'life insurance' & 30 & bank & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 30, 'checking_status': ""'no checking'"", 'credit_amount': 8133, 'credit_history': ""'existing paid'"", 'duration': 36, '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': 'bank', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': ""'used car'"", 'residence_since': 2, 'savings_status': ""'<100'""}",A 30-year-old female German Foreigner is applying for a loan of 8133 credits for 36 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 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 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.
69,male,'>=200',18,'existing paid',furniture/equipment,2864,'<100','1<=X<4',2,none,1,'real estate',34,none,own,1,'unskilled resident',2,none,yes,bad,"gender is male, checking_status is '>=200', duration is 18, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 2864, savings_status is '<100', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 1, property_magnitude is 'real estate', age is 34, 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 : 18
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 2864
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'real estate'
 - age : 34
 - 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 18. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 2864. 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 'real estate'. 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 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>18</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>2864</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>1</td>
      <td>'real estate'</td>
      <td>34</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' & 18 & 'existing paid' & furniture/equipment & 2864 & '<100' & '1<=X<4' & 2 & none & 1 & 'real estate' & 34 & none & own & 1 & 'unskilled resident' & 2 & none & yes \\
\end{tabular}
","{'age': 34, 'checking_status': ""'>=200'"", 'credit_amount': 2864, 'credit_history': ""'existing paid'"", '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': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'furniture/equipment', 'residence_since': 1, 'savings_status': ""'<100'""}",A 34-year-old male German Foreigner is applying for a loan of 2864 credits for 18 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 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.
70,male,'0<=X<200',12,'existing paid','new car',6078,'<100','4<=X<7',2,none,2,car,32,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 'new car', credit_amount is 6078, savings_status is '<100', employment is '4<=X<7', installment_commitment is 2, 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 none, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 6078
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 2
 - 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 : 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 6078. 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 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 none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</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>6078</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>2</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>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_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' & 6078 & '<100' & '4<=X<7' & 2 & none & 2 & car & 32 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 32, 'checking_status': ""'0<=X<200'"", 'credit_amount': 6078, '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': 2, 'savings_status': ""'<100'""}",A 32-year-old male German Foreigner is applying for a loan of 6078 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 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.
71,male,'0<=X<200',6,'existing paid',radio/tv,368,'no known savings','>=7',4,none,4,'life insurance',38,none,own,1,skilled,1,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 368, 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 1, job is skilled, 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 : radio/tv
 - credit_amount : 368
 - 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 : 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 6. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 368. 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 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>6</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>368</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>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' & 6 & 'existing paid' & radio/tv & 368 & 'no known savings' & '>=7' & 4 & none & 4 & 'life insurance' & 38 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 38, 'checking_status': ""'0<=X<200'"", 'credit_amount': 368, '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': 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 38-year-old male German Foreigner is applying for a loan of 368 credits for 6 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 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.
72,female,'<0',12,'critical/other existing credit',radio/tv,385,'<100','4<=X<7',4,none,3,'real estate',58,none,own,4,'unskilled resident',1,yes,yes,good,"gender is female, checking_status is '<0', duration is 12, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 385, 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 58, other_payment_plans is none, housing is own, existing_credits is 4, job is 'unskilled resident', num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 12
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 385
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'real estate'
 - age : 58
 - other_payment_plans : none
 - housing : own
 - existing_credits : 4
 - job : 'unskilled resident'
 - 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 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 385. 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 58. The other_payment_plans is none. The housing is own. The existing_credits is 4. 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>12</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>385</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>58</td>
      <td>none</td>
      <td>own</td>
      <td>4</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' & 12 & 'critical/other existing credit' & radio/tv & 385 & '<100' & '4<=X<7' & 4 & none & 3 & 'real estate' & 58 & none & own & 4 & 'unskilled resident' & 1 & yes & yes \\
\end{tabular}
","{'age': 58, 'checking_status': ""'<0'"", 'credit_amount': 385, 'credit_history': ""'critical/other existing credit'"", 'duration': 12, 'employment': ""'4<=X<7'"", 'existing_credits': 4, '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': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 3, 'savings_status': ""'<100'""}",A 58-year-old female German Foreigner is applying for a loan of 385 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 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 4 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 3 years.  She owns some real estate property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
73,male,'0<=X<200',10,'all paid',radio/tv,1048,'<100','1<=X<4',4,none,4,'real estate',23,stores,own,1,'unskilled resident',1,none,yes,good,"gender is male, checking_status is '0<=X<200', duration is 10, credit_history is 'all paid', purpose is radio/tv, credit_amount is 1048, 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 23, 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 : male
 - checking_status : '0<=X<200'
 - duration : 10
 - credit_history : 'all paid'
 - purpose : radio/tv
 - credit_amount : 1048
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 23
 - other_payment_plans : stores
 - 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 'all paid'. The purpose is radio/tv. The credit_amount is 1048. 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 23. 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>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>10</td>
      <td>'all paid'</td>
      <td>radio/tv</td>
      <td>1048</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>23</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 & male & '0<=X<200' & 10 & 'all paid' & radio/tv & 1048 & '<100' & '1<=X<4' & 4 & none & 4 & 'real estate' & 23 & stores & own & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 23, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1048, 'credit_history': ""'all 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': 'stores', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'<100'""}",A 23-year-old male German Foreigner is applying for a loan of 1048 credits for 10 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 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 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.
74,female,'<0',24,'critical/other existing credit','used car',6419,'<100','>=7',2,none,4,'no known property',44,none,'for free',2,'high qualif/self emp/mgmt',2,yes,yes,good,"gender is female, checking_status is '<0', duration is 24, credit_history is 'critical/other existing credit', purpose is 'used car', credit_amount is 6419, 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 44, other_payment_plans is none, housing is 'for free', existing_credits is 2, job is 'high qualif/self emp/mgmt', num_dependents is 2, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 24
 - credit_history : 'critical/other existing credit'
 - purpose : 'used car'
 - credit_amount : 6419
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 44
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 2
 - job : 'high qualif/self emp/mgmt'
 - num_dependents : 2
 - 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 'used car'. The credit_amount is 6419. 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 44. 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 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>'&lt;0'</td>
      <td>24</td>
      <td>'critical/other existing credit'</td>
      <td>'used car'</td>
      <td>6419</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>2</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>'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' & 24 & 'critical/other existing credit' & 'used car' & 6419 & '<100' & '>=7' & 2 & none & 4 & 'no known property' & 44 & none & 'for free' & 2 & 'high qualif/self emp/mgmt' & 2 & yes & yes \\
\end{tabular}
","{'age': 44, 'checking_status': ""'<0'"", 'credit_amount': 6419, 'credit_history': ""'critical/other existing credit'"", 'duration': 24, 'employment': ""'>=7'"", 'existing_credits': 2, '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': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 44-year-old female German Foreigner is applying for a loan of 6419 credits for 24 months for used 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 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 2 people that she is liable to provide maintenance for.
75,male,'<0',24,'delayed previously',radio/tv,1024,'<100','<1',4,none,4,'real estate',48,stores,own,1,skilled,1,none,yes,bad,"gender is male, checking_status is '<0', duration is 24, credit_history is 'delayed previously', purpose is radio/tv, credit_amount is 1024, 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 48, 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 : 'delayed previously'
 - purpose : radio/tv
 - credit_amount : 1024
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 48
 - 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 'delayed previously'. The purpose is radio/tv. The credit_amount is 1024. 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 48. 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>'delayed previously'</td>
      <td>radio/tv</td>
      <td>1024</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>48</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 & 'delayed previously' & radio/tv & 1024 & '<100' & '<1' & 4 & none & 4 & 'real estate' & 48 & stores & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 48, 'checking_status': ""'<0'"", 'credit_amount': 1024, 'credit_history': ""'delayed previously'"", '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': 'stores', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'<100'""}",A 48-year-old male German Foreigner is applying for a loan of 1024 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 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 less than one 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.
76,male,'<0',24,'existing paid','new car',2303,'<100','>=7',4,'co applicant',1,'real estate',45,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 'new car', credit_amount is 2303, savings_status is '<100', employment is '>=7', installment_commitment is 4, other_parties is 'co applicant', 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 : male
 - checking_status : '<0'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 2303
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : 'co applicant'
 - 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 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 2303. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 4. The other_parties is 'co applicant'. 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>male</td>
      <td>'&lt;0'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>2303</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>'co applicant'</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 & male & '<0' & 24 & 'existing paid' & 'new car' & 2303 & '<100' & '>=7' & 4 & 'co applicant' & 1 & 'real estate' & 45 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 45, 'checking_status': ""'<0'"", 'credit_amount': 2303, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'>=7'"", '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': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 1, 'savings_status': ""'<100'""}",A 45-year-old male German Foreigner is applying for a loan of 2303 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 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 does not own a telephone and has 1 person that he is liable to provide maintenance for.
77,male,'0<=X<200',9,'existing paid',radio/tv,458,'<100','1<=X<4',4,none,3,'real estate',24,none,own,1,skilled,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 458, 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 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 : 9
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 458
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - 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 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 458. 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 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>9</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>458</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>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' & 9 & 'existing paid' & radio/tv & 458 & '<100' & '1<=X<4' & 4 & none & 3 & 'real estate' & 24 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 24, 'checking_status': ""'0<=X<200'"", 'credit_amount': 458, 'credit_history': ""'existing paid'"", 'duration': 9, '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': 3, 'savings_status': ""'<100'""}",A 24-year-old male German Foreigner is applying for a loan of 458 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 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.
78,male,'<0',12,'critical/other existing credit',furniture/equipment,2246,'<100','>=7',3,none,3,'life insurance',60,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 furniture/equipment, credit_amount is 2246, savings_status is '<100', employment is '>=7', installment_commitment is 3, other_parties is none, residence_since is 3, property_magnitude is 'life insurance', age is 60, 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 : furniture/equipment
 - credit_amount : 2246
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'life insurance'
 - age : 60
 - 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 furniture/equipment. The credit_amount is 2246. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 3. The other_parties is none. The residence_since is 3. The property_magnitude is 'life insurance'. The age is 60. 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>furniture/equipment</td>
      <td>2246</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>3</td>
      <td>none</td>
      <td>3</td>
      <td>'life insurance'</td>
      <td>60</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' & furniture/equipment & 2246 & '<100' & '>=7' & 3 & none & 3 & 'life insurance' & 60 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 60, 'checking_status': ""'<0'"", 'credit_amount': 2246, 'credit_history': ""'critical/other existing credit'"", 'duration': 12, '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': 'furniture/equipment', 'residence_since': 3, 'savings_status': ""'<100'""}",A 60-year-old male German Foreigner is applying for a loan of 2246 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 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 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.
79,male,'<0',12,'existing paid',radio/tv,727,'100<=X<500','<1',4,none,3,'no known property',33,none,own,1,'unskilled resident',1,yes,yes,bad,"gender is male, checking_status is '<0', duration is 12, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 727, 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 33, 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 : 12
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 727
 - savings_status : '100<=X<500'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'no known property'
 - age : 33
 - 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 12. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 727. 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 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 yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</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>727</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>33</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' & 12 & 'existing paid' & radio/tv & 727 & '100<=X<500' & '<1' & 4 & none & 3 & 'no known property' & 33 & none & own & 1 & 'unskilled resident' & 1 & yes & yes \\
\end{tabular}
","{'age': 33, 'checking_status': ""'<0'"", 'credit_amount': 727, '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': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': 'radio/tv', 'residence_since': 3, 'savings_status': ""'100<=X<500'""}",A 33-year-old male German Foreigner is applying for a loan of 727 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 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 no known property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
80,female,'no checking',18,'existing paid',radio/tv,1453,'<100','<1',3,none,1,'real estate',26,none,own,1,skilled,1,none,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 1453, 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 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 : 18
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1453
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 3
 - 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 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 1453. 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 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>18</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1453</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>3</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 & female & 'no checking' & 18 & 'existing paid' & radio/tv & 1453 & '<100' & '<1' & 3 & none & 1 & 'real estate' & 26 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 26, 'checking_status': ""'no checking'"", 'credit_amount': 1453, 'credit_history': ""'existing paid'"", 'duration': 18, 'employment': ""'<1'"", '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': 1, 'savings_status': ""'<100'""}",A 26-year-old female German Foreigner is applying for a loan of 1453 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 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 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.
81,female,'no checking',12,'existing paid',radio/tv,2171,'<100','<1',2,none,2,car,29,bank,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 2171, 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 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 : 'no checking'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 2171
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 2
 - 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 'no checking'. The duration is 12. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 2171. 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 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>'no checking'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>2171</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>2</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 & 'no checking' & 12 & 'existing paid' & radio/tv & 2171 & '<100' & '<1' & 2 & none & 2 & car & 29 & bank & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 29, 'checking_status': ""'no checking'"", 'credit_amount': 2171, 'credit_history': ""'existing paid'"", 'duration': 12, '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': 'car', 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 29-year-old female German Foreigner is applying for a loan of 2171 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 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 2 years.  She owns a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
82,male,'no checking',9,'existing paid',radio/tv,2697,'<100','1<=X<4',1,none,2,'real estate',32,none,own,1,skilled,2,none,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 2697, 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 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 : 9
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 2697
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 1
 - other_parties : none
 - 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 9. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 2697. 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 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>9</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>2697</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>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' & 9 & 'existing paid' & radio/tv & 2697 & '<100' & '1<=X<4' & 1 & none & 2 & 'real estate' & 32 & none & own & 1 & skilled & 2 & none & yes \\
\end{tabular}
","{'age': 32, 'checking_status': ""'no checking'"", 'credit_amount': 2697, 'credit_history': ""'existing paid'"", 'duration': 9, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', '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': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 32-year-old male German Foreigner is applying for a loan of 2697 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 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.
83,male,'0<=X<200',12,'existing paid','new car',1007,'>=1000','1<=X<4',4,none,1,'real estate',22,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 'new car', credit_amount is 1007, 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 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 : 12
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 1007
 - savings_status : '>=1000'
 - employment : '1<=X<4'
 - 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 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 1007. 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 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>12</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>1007</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>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' & 12 & 'existing paid' & 'new car' & 1007 & '>=1000' & '1<=X<4' & 4 & none & 1 & 'real estate' & 22 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 22, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1007, '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': ""'new car'"", 'residence_since': 1, 'savings_status': ""'>=1000'""}",A 22-year-old male German Foreigner is applying for a loan of 1007 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 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.
84,male,'no checking',12,'critical/other existing credit',education,701,'<100','1<=X<4',4,none,2,car,32,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 education, 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 car, 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 : 'no checking'
 - duration : 12
 - credit_history : 'critical/other existing credit'
 - purpose : education
 - credit_amount : 701
 - savings_status : '<100'
 - 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 : 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 education. 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 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 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</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>701</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>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 & 'no checking' & 12 & 'critical/other existing credit' & education & 701 & '<100' & '1<=X<4' & 4 & none & 2 & car & 32 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 32, 'checking_status': ""'no checking'"", 'credit_amount': 701, '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': 'car', 'purpose': 'education', 'residence_since': 2, 'savings_status': ""'<100'""}",A 32-year-old male German Foreigner is applying for a loan of 701 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 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.
85,female,'<0',12,'all paid',radio/tv,626,'<100','1<=X<4',4,none,4,'real estate',24,bank,own,1,'unskilled resident',1,none,yes,bad,"gender is female, checking_status is '<0', duration is 12, credit_history is 'all paid', purpose is radio/tv, credit_amount is 626, 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 24, 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'
 - duration : 12
 - credit_history : 'all paid'
 - purpose : radio/tv
 - credit_amount : 626
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 24
 - 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'. The duration is 12. The credit_history is 'all paid'. The purpose is radio/tv. The credit_amount is 626. 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 24. 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>'&lt;0'</td>
      <td>12</td>
      <td>'all paid'</td>
      <td>radio/tv</td>
      <td>626</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>24</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' & 12 & 'all paid' & radio/tv & 626 & '<100' & '1<=X<4' & 4 & none & 4 & 'real estate' & 24 & bank & own & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 24, 'checking_status': ""'<0'"", 'credit_amount': 626, 'credit_history': ""'all 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': 'bank', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'<100'""}",A 24-year-old female German Foreigner is applying for a loan of 626 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 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 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 1 person that she is liable to provide maintenance for.
86,male,'<0',45,'existing paid',radio/tv,1845,'<100','1<=X<4',4,none,4,'no known property',23,none,'for free',1,skilled,1,yes,yes,bad,"gender is male, checking_status is '<0', duration is 45, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1845, 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 23, 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 : 45
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1845
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 23
 - 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 45. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 1845. 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 23. 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>45</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1845</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>23</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' & 45 & 'existing paid' & radio/tv & 1845 & '<100' & '1<=X<4' & 4 & none & 4 & 'no known property' & 23 & none & 'for free' & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 23, 'checking_status': ""'<0'"", 'credit_amount': 1845, 'credit_history': ""'existing paid'"", 'duration': 45, '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': ""'<100'""}",A 23-year-old male German Foreigner is applying for a loan of 1845 credits for 45 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. 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.
87,male,'0<=X<200',60,'existing paid','new car',14027,'<100','4<=X<7',4,none,2,'no known property',27,none,own,1,'high qualif/self emp/mgmt',1,yes,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 60, credit_history is 'existing paid', purpose is 'new car', credit_amount is 14027, savings_status is '<100', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is 'no known property', 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 yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 60
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 14027
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'no known property'
 - age : 27
 - 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 60. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 14027. 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 'no known property'. 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 yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</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>'existing paid'</td>
      <td>'new car'</td>
      <td>14027</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'no known property'</td>
      <td>27</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' & 60 & 'existing paid' & 'new car' & 14027 & '<100' & '4<=X<7' & 4 & none & 2 & 'no known property' & 27 & none & own & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 27, 'checking_status': ""'0<=X<200'"", 'credit_amount': 14027, 'credit_history': ""'existing paid'"", 'duration': 60, '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': ""'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 14027 credits for 60 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 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 no known property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
88,female,'no checking',30,'critical/other existing credit',radio/tv,5771,'<100','4<=X<7',4,none,2,car,25,none,own,2,skilled,1,none,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 5771, 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 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 : 30
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 5771
 - savings_status : '<100'
 - employment : '4<=X<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 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 5771. 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 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>30</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>5771</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>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' & 30 & 'critical/other existing credit' & radio/tv & 5771 & '<100' & '4<=X<7' & 4 & none & 2 & car & 25 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 25, 'checking_status': ""'no checking'"", 'credit_amount': 5771, 'credit_history': ""'critical/other existing credit'"", 'duration': 30, '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': 'car', 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 25-year-old female German Foreigner is applying for a loan of 5771 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 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.
89,female,'no checking',24,'existing paid','new car',1525,'>=1000','4<=X<7',4,none,3,car,34,none,own,1,skilled,2,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 1525, savings_status is '>=1000', employment is '4<=X<7', 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 yes, foreign_worker is yes","- gender : female
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 1525
 - savings_status : '>=1000'
 - employment : '4<=X<7'
 - 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 : 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 1525. The savings_status is '>=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 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 yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</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>1525</td>
      <td>'&gt;=1000'</td>
      <td>'4&lt;=X&lt;7'</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>yes</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & 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' & 1525 & '>=1000' & '4<=X<7' & 4 & none & 3 & car & 34 & none & own & 1 & skilled & 2 & yes & yes \\
\end{tabular}
","{'age': 34, 'checking_status': ""'no checking'"", 'credit_amount': 1525, 'credit_history': ""'existing paid'"", 'duration': 24, 'employment': ""'4<=X<7'"", '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': 'car', 'purpose': ""'new car'"", 'residence_since': 3, 'savings_status': ""'>=1000'""}",A 34-year-old female German Foreigner is applying for a loan of 1525 credits for 24 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 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 a car. She owns a telephone and has 2 people that she is liable to provide maintenance for.
90,female,'no checking',22,'existing paid','new car',1283,'no known savings','4<=X<7',4,none,4,'life insurance',25,none,rent,1,skilled,1,none,yes,good,"gender is female, checking_status is 'no checking', duration is 22, credit_history is 'existing paid', purpose is 'new car', credit_amount is 1283, 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 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 : 'no checking'
 - duration : 22
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 1283
 - savings_status : 'no known savings'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - 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 female. The checking_status is 'no checking'. The duration is 22. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 1283. 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 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>'no checking'</td>
      <td>22</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>1283</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>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 & 'no checking' & 22 & 'existing paid' & 'new car' & 1283 & 'no known savings' & '4<=X<7' & 4 & none & 4 & 'life insurance' & 25 & none & rent & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 25, 'checking_status': ""'no checking'"", 'credit_amount': 1283, 'credit_history': ""'existing paid'"", 'duration': 22, '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': ""'life insurance'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 25-year-old female German Foreigner is applying for a loan of 1283 credits for 22 months for new 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 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 life insurance property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
91,female,'no checking',6,'existing paid',radio/tv,518,'<100','1<=X<4',3,none,1,'real estate',29,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 radio/tv, credit_amount is 518, 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 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 : female
 - checking_status : 'no checking'
 - duration : 6
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 518
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'real estate'
 - 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 female. 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 518. 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 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>female</td>
      <td>'no checking'</td>
      <td>6</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>518</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>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 & female & 'no checking' & 6 & 'existing paid' & radio/tv & 518 & '<100' & '1<=X<4' & 3 & none & 1 & 'real estate' & 29 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 29, 'checking_status': ""'no checking'"", 'credit_amount': 518, 'credit_history': ""'existing paid'"", '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': 1, 'savings_status': ""'<100'""}",A 29-year-old female German Foreigner is applying for a loan of 518 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 duly paid back credits received from this bank 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 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.
92,male,'<0',48,'no credits/all paid',furniture/equipment,7119,'<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 48, credit_history is 'no credits/all paid', purpose is furniture/equipment, credit_amount is 7119, 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 : 48
 - credit_history : 'no credits/all paid'
 - purpose : furniture/equipment
 - credit_amount : 7119
 - 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 48. The credit_history is 'no credits/all paid'. The purpose is furniture/equipment. The credit_amount is 7119. 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>48</td>
      <td>'no credits/all paid'</td>
      <td>furniture/equipment</td>
      <td>7119</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' & 48 & 'no credits/all paid' & furniture/equipment & 7119 & '<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': 7119, 'credit_history': ""'no credits/all paid'"", 'duration': 48, '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': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'<100'""}",A 53-year-old male German Foreigner is applying for a loan of 7119 credits for 48 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 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.
93,male,'<0',24,'existing paid',furniture/equipment,3021,'<100','1<=X<4',2,none,2,'real estate',24,none,rent,1,'unskilled resident',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 3021, 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 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 : '<0'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 3021
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - 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 '<0'. The duration is 24. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 3021. 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 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>'&lt;0'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>3021</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>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 & '<0' & 24 & 'existing paid' & furniture/equipment & 3021 & '<100' & '1<=X<4' & 2 & none & 2 & 'real estate' & 24 & none & rent & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 24, 'checking_status': ""'<0'"", 'credit_amount': 3021, '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': 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 3021 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 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.
94,male,'no checking',48,'critical/other existing credit','used car',2751,'no known savings','>=7',4,none,3,car,38,none,own,2,skilled,2,yes,yes,good,"gender is male, checking_status is 'no checking', duration is 48, credit_history is 'critical/other existing credit', purpose is 'used car', credit_amount is 2751, 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 38, 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 : 48
 - credit_history : 'critical/other existing credit'
 - purpose : 'used car'
 - credit_amount : 2751
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : car
 - age : 38
 - 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 48. The credit_history is 'critical/other existing credit'. The purpose is 'used car'. The credit_amount is 2751. 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 38. 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>48</td>
      <td>'critical/other existing credit'</td>
      <td>'used car'</td>
      <td>2751</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>car</td>
      <td>38</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' & 48 & 'critical/other existing credit' & 'used car' & 2751 & 'no known savings' & '>=7' & 4 & none & 3 & car & 38 & none & own & 2 & skilled & 2 & yes & yes \\
\end{tabular}
","{'age': 38, 'checking_status': ""'no checking'"", 'credit_amount': 2751, 'credit_history': ""'critical/other existing credit'"", 'duration': 48, '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': 'car', 'purpose': ""'used car'"", 'residence_since': 3, 'savings_status': ""'no known savings'""}",A 38-year-old male German Foreigner is applying for a loan of 2751 credits for 48 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 seven years. 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.
95,male,'no checking',6,'existing paid',repairs,660,'500<=X<1000','4<=X<7',2,none,4,'real estate',23,none,rent,1,'unskilled resident',1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 6, credit_history is 'existing paid', purpose is repairs, credit_amount is 660, 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 '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 : male
 - checking_status : 'no checking'
 - duration : 6
 - credit_history : 'existing paid'
 - purpose : repairs
 - credit_amount : 660
 - savings_status : '500<=X<1000'
 - 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 male. The checking_status is 'no checking'. The duration is 6. The credit_history is 'existing paid'. The purpose is repairs. The credit_amount is 660. 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 '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>male</td>
      <td>'no checking'</td>
      <td>6</td>
      <td>'existing paid'</td>
      <td>repairs</td>
      <td>660</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>'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 & male & 'no checking' & 6 & 'existing paid' & repairs & 660 & '500<=X<1000' & '4<=X<7' & 2 & none & 4 & 'real estate' & 23 & none & rent & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 23, 'checking_status': ""'no checking'"", 'credit_amount': 660, 'credit_history': ""'existing paid'"", 'duration': 6, 'employment': ""'4<=X<7'"", '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': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'repairs', 'residence_since': 4, 'savings_status': ""'500<=X<1000'""}",A 23-year-old male German Foreigner is applying for a loan of 660 credits for 6 months for repairs 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 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 some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
96,male,'no checking',24,'critical/other existing credit','new car',2463,'100<=X<500','4<=X<7',4,none,3,'life insurance',27,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 'new car', credit_amount is 2463, 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 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 : 'no checking'
 - duration : 24
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 2463
 - savings_status : '100<=X<500'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - 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 : 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 2463. 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 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>'no checking'</td>
      <td>24</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>2463</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>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 & 'no checking' & 24 & 'critical/other existing credit' & 'new car' & 2463 & '100<=X<500' & '4<=X<7' & 4 & none & 3 & 'life insurance' & 27 & none & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 27, 'checking_status': ""'no checking'"", 'credit_amount': 2463, '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': ""'life insurance'"", 'purpose': ""'new car'"", 'residence_since': 3, 'savings_status': ""'100<=X<500'""}",A 27-year-old male German Foreigner is applying for a loan of 2463 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 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 owns a telephone and has 1 person that he is liable to provide maintenance for.
97,male,'<0',18,'existing paid','new car',2249,'100<=X<500','4<=X<7',4,none,3,car,30,none,own,1,'high qualif/self emp/mgmt',2,yes,yes,good,"gender is male, checking_status is '<0', duration is 18, credit_history is 'existing paid', purpose is 'new car', credit_amount is 2249, 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 30, 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'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 2249
 - savings_status : '100<=X<500'
 - 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 : 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 'new car'. The credit_amount is 2249. 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 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 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>'new car'</td>
      <td>2249</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>30</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' & 18 & 'existing paid' & 'new car' & 2249 & '100<=X<500' & '4<=X<7' & 4 & none & 3 & car & 30 & none & own & 1 & 'high qualif/self emp/mgmt' & 2 & yes & yes \\
\end{tabular}
","{'age': 30, 'checking_status': ""'<0'"", 'credit_amount': 2249, 'credit_history': ""'existing paid'"", 'duration': 18, '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': 2, '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 30-year-old male German Foreigner is applying for a loan of 2249 credits for 18 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 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 3 years.  He owns a car. He owns a telephone and has 2 people that he is liable to provide maintenance for.
98,male,'0<=X<200',48,'no credits/all paid',business,14421,'<100','1<=X<4',2,none,2,car,25,none,own,1,skilled,1,yes,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 14421, 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 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 : 48
 - credit_history : 'no credits/all paid'
 - purpose : business
 - credit_amount : 14421
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - 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 : 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 14421. 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 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>48</td>
      <td>'no credits/all paid'</td>
      <td>business</td>
      <td>14421</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>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' & 48 & 'no credits/all paid' & business & 14421 & '<100' & '1<=X<4' & 2 & none & 2 & car & 25 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 25, 'checking_status': ""'0<=X<200'"", 'credit_amount': 14421, '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': '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 25-year-old male German Foreigner is applying for a loan of 14421 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 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. 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.
99,female,'<0',18,'critical/other existing credit','new car',3966,'<100','>=7',1,none,4,'real estate',33,bank,rent,3,skilled,1,yes,yes,bad,"gender is female, checking_status is '<0', duration is 18, credit_history is 'critical/other existing credit', purpose is 'new car', credit_amount is 3966, 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 33, other_payment_plans is bank, housing is rent, existing_credits is 3, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 18
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 3966
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 33
 - other_payment_plans : bank
 - housing : rent
 - existing_credits : 3
 - 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 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 3966. 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 33. The other_payment_plans is bank. 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>female</td>
      <td>'&lt;0'</td>
      <td>18</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>3966</td>
      <td>'&lt;100'</td>
      <td>'&gt;=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>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 & female & '<0' & 18 & 'critical/other existing credit' & 'new car' & 3966 & '<100' & '>=7' & 1 & none & 4 & 'real estate' & 33 & bank & rent & 3 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 33, 'checking_status': ""'<0'"", 'credit_amount': 3966, 'credit_history': ""'critical/other existing credit'"", 'duration': 18, 'employment': ""'>=7'"", 'existing_credits': 3, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 33-year-old female German Foreigner is applying for a loan of 3966 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 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 other installment plans with a bank and 3 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 owns a telephone and has 1 person that she is liable to provide maintenance for.
100,male,'no checking',30,'critical/other existing credit',radio/tv,3077,'no known savings','>=7',3,none,2,car,40,none,own,2,skilled,2,yes,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 3077, savings_status is 'no known savings', employment is '>=7', installment_commitment is 3, other_parties is none, residence_since is 2, 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 2, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 30
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 3077
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 40
 - 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 30. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 3077. 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 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 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>30</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>3077</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>3</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>40</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' & 30 & 'critical/other existing credit' & radio/tv & 3077 & 'no known savings' & '>=7' & 3 & none & 2 & car & 40 & none & own & 2 & skilled & 2 & yes & yes \\
\end{tabular}
","{'age': 40, 'checking_status': ""'no checking'"", 'credit_amount': 3077, 'credit_history': ""'critical/other existing credit'"", 'duration': 30, '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': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'no known savings'""}",A 40-year-old male German Foreigner is applying for a loan of 3077 credits for 30 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 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 a car. He owns a telephone and has 2 people that he is liable to provide maintenance for.
101,female,'0<=X<200',9,'existing paid',furniture/equipment,959,'<100','1<=X<4',1,none,2,car,29,none,own,1,skilled,1,none,no,bad,"gender is female, checking_status is '0<=X<200', duration is 9, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 959, 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 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 no","- gender : female
 - checking_status : '0<=X<200'
 - duration : 9
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 959
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 29
 - 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 '0<=X<200'. The duration is 9. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 959. 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 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 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>9</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>959</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>29</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 & '0<=X<200' & 9 & 'existing paid' & furniture/equipment & 959 & '<100' & '1<=X<4' & 1 & none & 2 & car & 29 & none & own & 1 & skilled & 1 & none & no \\
\end{tabular}
","{'age': 29, 'checking_status': ""'0<=X<200'"", 'credit_amount': 959, 'credit_history': ""'existing paid'"", 'duration': 9, 'employment': ""'1<=X<4'"", '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': 'none', 'property_magnitude': 'car', 'purpose': 'furniture/equipment', 'residence_since': 2, 'savings_status': ""'<100'""}",A 29-year-old female German Citizen is applying for a loan of 959 credits for 9 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 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.
102,female,'>=200',9,'existing paid',radio/tv,745,'<100','1<=X<4',3,none,2,'real estate',28,none,own,1,'unskilled resident',1,none,yes,bad,"gender is female, checking_status is '>=200', duration is 9, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 745, 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 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 : 9
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 745
 - 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 : 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 9. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 745. 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 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>9</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>745</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>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' & 9 & 'existing paid' & radio/tv & 745 & '<100' & '1<=X<4' & 3 & none & 2 & 'real estate' & 28 & none & own & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 28, 'checking_status': ""'>=200'"", 'credit_amount': 745, 'credit_history': ""'existing paid'"", 'duration': 9, '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': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 28-year-old female German Foreigner is applying for a loan of 745 credits for 9 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 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.
103,male,'no checking',24,'critical/other existing credit',radio/tv,2684,'<100','1<=X<4',4,none,2,'real estate',35,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 radio/tv, credit_amount is 2684, 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 35, 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 : radio/tv
 - credit_amount : 2684
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 35
 - 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 radio/tv. The credit_amount is 2684. 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 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 none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</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>2684</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>35</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' & radio/tv & 2684 & '<100' & '1<=X<4' & 4 & none & 2 & 'real estate' & 35 & none & own & 2 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 35, 'checking_status': ""'no checking'"", 'credit_amount': 2684, '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': ""'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 35-year-old male German Foreigner is applying for a loan of 2684 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 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 1 person that he is liable to provide maintenance for.
104,male,'no checking',12,'existing paid',education,1393,'<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 12, credit_history is 'existing paid', purpose is education, credit_amount is 1393, 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 : 12
 - credit_history : 'existing paid'
 - purpose : education
 - credit_amount : 1393
 - 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 12. The credit_history is 'existing paid'. The purpose is education. The credit_amount is 1393. 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>12</td>
      <td>'existing paid'</td>
      <td>education</td>
      <td>1393</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' & 12 & 'existing paid' & education & 1393 & '<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': 1393, 'credit_history': ""'existing paid'"", 'duration': 12, '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': 'education', 'residence_since': 4, 'savings_status': ""'<100'""}",A 47-year-old male German Foreigner is applying for a loan of 1393 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 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.
105,male,'<0',18,'critical/other existing credit',radio/tv,1880,'<100','4<=X<7',4,none,1,'life insurance',32,none,own,2,'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 radio/tv, credit_amount is 1880, savings_status is '<100', employment is '4<=X<7', 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 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 : 18
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 1880
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'life insurance'
 - age : 32
 - 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 18. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 1880. 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 'life insurance'. The age is 32. 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>18</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>1880</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>1</td>
      <td>'life insurance'</td>
      <td>32</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' & 18 & 'critical/other existing credit' & radio/tv & 1880 & '<100' & '4<=X<7' & 4 & none & 1 & 'life insurance' & 32 & none & own & 2 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 32, 'checking_status': ""'<0'"", 'credit_amount': 1880, 'credit_history': ""'critical/other existing credit'"", 'duration': 18, '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': 'radio/tv', 'residence_since': 1, 'savings_status': ""'<100'""}",A 32-year-old male German Foreigner is applying for a loan of 1880 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 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 1 years.  He owns life insurance property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
106,female,'0<=X<200',9,'existing paid',education,1199,'<100','4<=X<7',4,none,4,'life insurance',67,none,own,2,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is female, checking_status is '0<=X<200', duration is 9, credit_history is 'existing paid', purpose is education, credit_amount is 1199, 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 67, 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 : 'existing paid'
 - purpose : education
 - credit_amount : 1199
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 67
 - 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 'existing paid'. The purpose is education. The credit_amount is 1199. 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 67. 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>'existing paid'</td>
      <td>education</td>
      <td>1199</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>67</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 & 'existing paid' & education & 1199 & '<100' & '4<=X<7' & 4 & none & 4 & 'life insurance' & 67 & none & own & 2 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 67, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1199, 'credit_history': ""'existing paid'"", 'duration': 9, 'employment': ""'4<=X<7'"", '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': ""'life insurance'"", 'purpose': 'education', 'residence_since': 4, 'savings_status': ""'<100'""}",A 67-year-old female German Foreigner is applying for a loan of 1199 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 duly paid back credits received from this bank 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 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 life insurance property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
107,male,'0<=X<200',24,'existing paid',furniture/equipment,3069,'100<=X<500','>=7',4,none,4,'no known property',30,none,'for free',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 furniture/equipment, credit_amount is 3069, savings_status is '100<=X<500', 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 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 : furniture/equipment
 - credit_amount : 3069
 - savings_status : '100<=X<500'
 - 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 : 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 furniture/equipment. The credit_amount is 3069. 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 '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 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</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>furniture/equipment</td>
      <td>3069</td>
      <td>'100&lt;=X&lt;500'</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>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_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' & furniture/equipment & 3069 & '100<=X<500' & '>=7' & 4 & none & 4 & 'no known property' & 30 & none & 'for free' & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 30, 'checking_status': ""'0<=X<200'"", 'credit_amount': 3069, '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': 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<=X<500'""}",A 30-year-old male German Foreigner is applying for a loan of 3069 credits for 24 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 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.
108,female,'no checking',24,'existing paid',furniture/equipment,3972,'<100','4<=X<7',2,none,4,'life insurance',25,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 furniture/equipment, credit_amount is 3972, 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 25, 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 : furniture/equipment
 - credit_amount : 3972
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 25
 - 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 furniture/equipment. The credit_amount is 3972. 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 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 yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</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>furniture/equipment</td>
      <td>3972</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>25</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' & furniture/equipment & 3972 & '<100' & '4<=X<7' & 2 & none & 4 & 'life insurance' & 25 & none & rent & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 25, 'checking_status': ""'no checking'"", 'credit_amount': 3972, 'credit_history': ""'existing paid'"", 'duration': 24, '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': 'yes', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'<100'""}",A 25-year-old female German Foreigner is applying for a loan of 3972 credits for 24 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 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 life insurance property. She owns a telephone and has 1 person that she is liable to provide maintenance for.
109,male,'<0',6,'existing paid','new car',14896,'<100','>=7',1,none,4,'no known property',68,bank,own,1,'high qualif/self emp/mgmt',1,yes,yes,bad,"gender is male, checking_status is '<0', duration is 6, credit_history is 'existing paid', purpose is 'new car', credit_amount is 14896, 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 68, 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'
 - duration : 6
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 14896
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 68
 - 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'. The duration is 6. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 14896. 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 68. 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>'&lt;0'</td>
      <td>6</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>14896</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>1</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>68</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' & 6 & 'existing paid' & 'new car' & 14896 & '<100' & '>=7' & 1 & none & 4 & 'no known property' & 68 & bank & own & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 68, 'checking_status': ""'<0'"", 'credit_amount': 14896, 'credit_history': ""'existing paid'"", 'duration': 6, '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': 'bank', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 68-year-old male German Foreigner is applying for a loan of 14896 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 duly paid back credits received from this bank 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 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 4 years.  He owns no known property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
110,male,'<0',36,'existing paid',radio/tv,2302,'<100','1<=X<4',4,none,4,car,31,none,rent,1,skilled,1,none,yes,bad,"gender is male, checking_status is '<0', duration is 36, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 2302, 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 31, 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 : 36
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 2302
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 31
 - 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 36. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 2302. 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 31. 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>36</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>2302</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>31</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' & 36 & 'existing paid' & radio/tv & 2302 & '<100' & '1<=X<4' & 4 & none & 4 & car & 31 & none & rent & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 31, 'checking_status': ""'<0'"", 'credit_amount': 2302, 'credit_history': ""'existing paid'"", 'duration': 36, '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': 'car', 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'<100'""}",A 31-year-old male German Foreigner is applying for a loan of 2302 credits for 36 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. 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.
111,male,'<0',8,'critical/other existing credit','new car',731,'<100','>=7',4,none,4,'real estate',47,none,own,2,'unskilled resident',1,none,yes,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 731, 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 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 : '<0'
 - duration : 8
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 731
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - 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 '<0'. The duration is 8. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 731. 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 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>'&lt;0'</td>
      <td>8</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>731</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</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 & '<0' & 8 & 'critical/other existing credit' & 'new car' & 731 & '<100' & '>=7' & 4 & none & 4 & 'real estate' & 47 & none & own & 2 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 47, 'checking_status': ""'<0'"", 'credit_amount': 731, 'credit_history': ""'critical/other existing credit'"", 'duration': 8, '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 47-year-old male German Foreigner is applying for a loan of 731 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 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.
112,female,'<0',15,'critical/other existing credit',furniture/equipment,1433,'<100','1<=X<4',4,none,3,'life insurance',25,none,rent,2,skilled,1,none,yes,good,"gender is female, checking_status is '<0', duration is 15, credit_history is 'critical/other existing credit', purpose is furniture/equipment, credit_amount is 1433, 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 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'
 - duration : 15
 - credit_history : 'critical/other existing credit'
 - purpose : furniture/equipment
 - credit_amount : 1433
 - savings_status : '<100'
 - employment : '1<=X<4'
 - 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'. The duration is 15. The credit_history is 'critical/other existing credit'. The purpose is furniture/equipment. The credit_amount is 1433. 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 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>'&lt;0'</td>
      <td>15</td>
      <td>'critical/other existing credit'</td>
      <td>furniture/equipment</td>
      <td>1433</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>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' & 15 & 'critical/other existing credit' & furniture/equipment & 1433 & '<100' & '1<=X<4' & 4 & none & 3 & 'life insurance' & 25 & none & rent & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 25, 'checking_status': ""'<0'"", 'credit_amount': 1433, 'credit_history': ""'critical/other existing credit'"", 'duration': 15, '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': '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 1433 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 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 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.
113,male,'no checking',6,'existing paid','domestic appliance',1338,'500<=X<1000','1<=X<4',1,none,4,'real estate',62,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 'domestic appliance', credit_amount is 1338, 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 'real estate', age is 62, 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 : 'domestic appliance'
 - credit_amount : 1338
 - savings_status : '500<=X<1000'
 - employment : '1<=X<4'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 62
 - 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 'domestic appliance'. The credit_amount is 1338. 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 'real estate'. The age is 62. 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>'domestic appliance'</td>
      <td>1338</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>'real estate'</td>
      <td>62</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' & 'domestic appliance' & 1338 & '500<=X<1000' & '1<=X<4' & 1 & none & 4 & 'real estate' & 62 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 62, 'checking_status': ""'no checking'"", 'credit_amount': 1338, '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': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'domestic appliance'"", 'residence_since': 4, 'savings_status': ""'500<=X<1000'""}",A 62-year-old male German Foreigner is applying for a loan of 1338 credits for 6 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 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 some real estate property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
114,female,'0<=X<200',18,'critical/other existing credit',furniture/equipment,1295,'<100','<1',4,none,1,'life insurance',27,none,own,2,skilled,1,none,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 1295, 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 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 : 'critical/other existing credit'
 - purpose : furniture/equipment
 - credit_amount : 1295
 - 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 : 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 'critical/other existing credit'. The purpose is furniture/equipment. The credit_amount is 1295. 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 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>'critical/other existing credit'</td>
      <td>furniture/equipment</td>
      <td>1295</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>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 & 'critical/other existing credit' & furniture/equipment & 1295 & '<100' & '<1' & 4 & none & 1 & 'life insurance' & 27 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 27, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1295, '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': 'furniture/equipment', 'residence_since': 1, 'savings_status': ""'<100'""}",A 27-year-old female German Foreigner is applying for a loan of 1295 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 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.
115,male,'<0',6,'critical/other existing credit',furniture/equipment,1872,'<100',unemployed,4,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 6, credit_history is 'critical/other existing credit', purpose is furniture/equipment, credit_amount is 1872, savings_status is '<100', employment is unemployed, 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 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 : 6
 - credit_history : 'critical/other existing credit'
 - purpose : furniture/equipment
 - credit_amount : 1872
 - savings_status : '<100'
 - employment : unemployed
 - 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 : 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 6. The credit_history is 'critical/other existing credit'. The purpose is furniture/equipment. The credit_amount is 1872. 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 '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>6</td>
      <td>'critical/other existing credit'</td>
      <td>furniture/equipment</td>
      <td>1872</td>
      <td>'&lt;100'</td>
      <td>unemployed</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>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' & 6 & 'critical/other existing credit' & furniture/equipment & 1872 & '<100' & unemployed & 4 & 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': 1872, 'credit_history': ""'critical/other existing credit'"", 'duration': 6, 'employment': 'unemployed', 'existing_credits': 3, '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 36-year-old male German Foreigner is applying for a loan of 1872 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 4%. He has no other installment plans and 3 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.
116,male,'0<=X<200',18,'critical/other existing credit','new car',884,'<100','>=7',4,none,4,car,36,bank,own,1,skilled,2,yes,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 884, 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 36, 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<=X<200'
 - duration : 18
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 884
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 36
 - 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<=X<200'. The duration is 18. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 884. 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 36. 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>'0&lt;=X&lt;200'</td>
      <td>18</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>884</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>car</td>
      <td>36</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<=X<200' & 18 & 'critical/other existing credit' & 'new car' & 884 & '<100' & '>=7' & 4 & none & 4 & car & 36 & bank & own & 1 & skilled & 2 & yes & yes \\
\end{tabular}
","{'age': 36, 'checking_status': ""'0<=X<200'"", 'credit_amount': 884, 'credit_history': ""'critical/other existing credit'"", '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': 'bank', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 36-year-old male German Foreigner is applying for a loan of 884 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 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 owns a telephone and has 2 people that he is liable to provide maintenance for.
117,male,'no checking',24,'delayed previously','new car',2538,'<100','>=7',4,none,4,car,47,none,own,2,'unskilled resident',2,none,yes,bad,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'delayed previously', purpose is 'new car', credit_amount is 2538, 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 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 : 'no checking'
 - duration : 24
 - credit_history : 'delayed previously'
 - purpose : 'new car'
 - credit_amount : 2538
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - 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 'no checking'. The duration is 24. The credit_history is 'delayed previously'. The purpose is 'new car'. The credit_amount is 2538. 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 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>'no checking'</td>
      <td>24</td>
      <td>'delayed previously'</td>
      <td>'new car'</td>
      <td>2538</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>car</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 & 'no checking' & 24 & 'delayed previously' & 'new car' & 2538 & '<100' & '>=7' & 4 & none & 4 & car & 47 & none & own & 2 & 'unskilled resident' & 2 & none & yes \\
\end{tabular}
","{'age': 47, 'checking_status': ""'no checking'"", 'credit_amount': 2538, 'credit_history': ""'delayed previously'"", 'duration': 24, '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': 'car', 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 47-year-old male German Foreigner is applying for a loan of 2538 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 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.
118,male,'no checking',24,'existing paid',radio/tv,3105,'no known savings','<1',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 3105, savings_status is 'no known savings', employment is '<1', 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 : 3105
 - savings_status : 'no known savings'
 - employment : '<1'
 - 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 3105. 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 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>3105</td>
      <td>'no known savings'</td>
      <td>'&lt;1'</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 & 3105 & 'no known savings' & '<1' & 4 & none & 2 & car & 25 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 25, 'checking_status': ""'no checking'"", 'credit_amount': 3105, 'credit_history': ""'existing paid'"", 'duration': 24, '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': '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 3105 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 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.
119,male,'no checking',48,'critical/other existing credit',business,7629,'no known savings','>=7',4,none,2,car,46,bank,own,2,'high qualif/self emp/mgmt',2,none,yes,good,"gender is male, checking_status is 'no checking', duration is 48, credit_history is 'critical/other existing credit', purpose is business, credit_amount is 7629, 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 46, 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 none, foreign_worker is yes","- gender : male
 - checking_status : 'no checking'
 - duration : 48
 - credit_history : 'critical/other existing credit'
 - purpose : business
 - credit_amount : 7629
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 46
 - other_payment_plans : bank
 - housing : own
 - existing_credits : 2
 - job : 'high qualif/self emp/mgmt'
 - 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 'critical/other existing credit'. The purpose is business. The credit_amount is 7629. 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 46. 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 none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</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>business</td>
      <td>7629</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</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>'high qualif/self emp/mgmt'</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 & 'critical/other existing credit' & business & 7629 & 'no known savings' & '>=7' & 4 & none & 2 & car & 46 & bank & own & 2 & 'high qualif/self emp/mgmt' & 2 & none & yes \\
\end{tabular}
","{'age': 46, 'checking_status': ""'no checking'"", 'credit_amount': 7629, 'credit_history': ""'critical/other existing credit'"", 'duration': 48, 'employment': ""'>=7'"", 'existing_credits': 2, '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': 'bank', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'business', 'residence_since': 2, 'savings_status': ""'no known savings'""}",A 46-year-old male German Foreigner is applying for a loan of 7629 credits for 48 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 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 2 years.  He owns a car. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
120,male,'<0',12,'critical/other existing credit','new car',2171,'<100','1<=X<4',4,none,4,'life insurance',38,bank,own,2,'unskilled resident',1,none,no,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 2171, 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 38, 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 no","- gender : male
 - checking_status : '<0'
 - duration : 12
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 2171
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 38
 - other_payment_plans : bank
 - 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 12. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 2171. 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 38. 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 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>12</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>2171</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>38</td>
      <td>bank</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' & 12 & 'critical/other existing credit' & 'new car' & 2171 & '<100' & '1<=X<4' & 4 & none & 4 & 'life insurance' & 38 & bank & own & 2 & 'unskilled resident' & 1 & none & no \\
\end{tabular}
","{'age': 38, 'checking_status': ""'<0'"", 'credit_amount': 2171, 'credit_history': ""'critical/other existing credit'"", 'duration': 12, 'employment': ""'1<=X<4'"", 'existing_credits': 2, 'foreign_worker': 'no', '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': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 38-year-old male German Citizen is applying for a loan of 2171 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 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 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.
121,male,'0<=X<200',18,'existing paid','used car',2779,'<100','1<=X<4',1,none,3,car,21,none,rent,1,skilled,1,yes,yes,good,"gender is male, checking_status is '0<=X<200', duration is 18, credit_history is 'existing paid', purpose is 'used car', credit_amount is 2779, savings_status is '<100', employment is '1<=X<4', installment_commitment is 1, other_parties is none, residence_since is 3, 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 yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : 'used car'
 - credit_amount : 2779
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 3
 - property_magnitude : car
 - 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 male. 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 2779. 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 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 yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</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>'used car'</td>
      <td>2779</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>1</td>
      <td>none</td>
      <td>3</td>
      <td>car</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 & male & '0<=X<200' & 18 & 'existing paid' & 'used car' & 2779 & '<100' & '1<=X<4' & 1 & none & 3 & car & 21 & none & rent & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 21, 'checking_status': ""'0<=X<200'"", 'credit_amount': 2779, 'credit_history': ""'existing paid'"", 'duration': 18, 'employment': ""'1<=X<4'"", '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': 'yes', 'property_magnitude': 'car', 'purpose': ""'used car'"", 'residence_since': 3, 'savings_status': ""'<100'""}",A 21-year-old male German Foreigner is applying for a loan of 2779 credits for 18 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 more than one year but less than four 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.
122,male,'<0',9,'critical/other existing credit',radio/tv,1138,'<100','1<=X<4',4,none,4,'real estate',25,none,own,2,'unskilled resident',1,none,yes,good,"gender is male, checking_status is '<0', duration is 9, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 1138, 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 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'
 - duration : 9
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 1138
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - 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'. The duration is 9. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 1138. 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 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>'&lt;0'</td>
      <td>9</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>1138</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>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' & 9 & 'critical/other existing credit' & radio/tv & 1138 & '<100' & '1<=X<4' & 4 & none & 4 & 'real estate' & 25 & none & own & 2 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 25, 'checking_status': ""'<0'"", 'credit_amount': 1138, 'credit_history': ""'critical/other existing credit'"", 'duration': 9, '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': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'<100'""}",A 25-year-old male German Foreigner is applying for a loan of 1138 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 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 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.
123,male,'<0',12,'existing paid',furniture/equipment,1657,'<100','1<=X<4',2,none,2,'real estate',27,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 1657, 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 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'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 1657
 - savings_status : '<100'
 - employment : '1<=X<4'
 - 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 : 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 1657. 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 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>'&lt;0'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>1657</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>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' & 12 & 'existing paid' & furniture/equipment & 1657 & '<100' & '1<=X<4' & 2 & none & 2 & 'real estate' & 27 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 27, 'checking_status': ""'<0'"", 'credit_amount': 1657, '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': ""'real estate'"", 'purpose': 'furniture/equipment', 'residence_since': 2, 'savings_status': ""'<100'""}",A 27-year-old male German Foreigner is applying for a loan of 1657 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 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.
124,male,'0<=X<200',21,'existing paid',business,2767,'100<=X<500','>=7',4,none,2,car,61,bank,rent,2,'unskilled resident',1,none,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 21, credit_history is 'existing paid', purpose is business, credit_amount is 2767, 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 61, 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 : male
 - checking_status : '0<=X<200'
 - duration : 21
 - credit_history : 'existing paid'
 - purpose : business
 - credit_amount : 2767
 - savings_status : '100<=X<500'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 61
 - other_payment_plans : bank
 - 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<=X<200'. The duration is 21. The credit_history is 'existing paid'. The purpose is business. The credit_amount is 2767. 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 61. 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>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>21</td>
      <td>'existing paid'</td>
      <td>business</td>
      <td>2767</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>61</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 & male & '0<=X<200' & 21 & 'existing paid' & business & 2767 & '100<=X<500' & '>=7' & 4 & none & 2 & car & 61 & bank & rent & 2 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 61, 'checking_status': ""'0<=X<200'"", 'credit_amount': 2767, 'credit_history': ""'existing paid'"", 'duration': 21, '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': 'bank', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'business', 'residence_since': 2, 'savings_status': ""'100<=X<500'""}",A 61-year-old male German Foreigner is applying for a loan of 2767 credits for 21 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 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 rented apartment 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.
125,male,'0<=X<200',18,'critical/other existing credit',furniture/equipment,1928,'<100','<1',2,none,2,'real estate',31,none,own,2,'unskilled resident',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 furniture/equipment, credit_amount is 1928, savings_status is '<100', employment is '<1', 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 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 : 18
 - credit_history : 'critical/other existing credit'
 - purpose : furniture/equipment
 - credit_amount : 1928
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 31
 - 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 18. The credit_history is 'critical/other existing credit'. The purpose is furniture/equipment. The credit_amount is 1928. 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 'real estate'. 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 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</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>1928</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>2</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>31</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' & 18 & 'critical/other existing credit' & furniture/equipment & 1928 & '<100' & '<1' & 2 & none & 2 & 'real estate' & 31 & none & own & 2 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 31, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1928, 'credit_history': ""'critical/other existing credit'"", 'duration': 18, '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': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'furniture/equipment', 'residence_since': 2, 'savings_status': ""'<100'""}",A 31-year-old male German Foreigner is applying for a loan of 1928 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 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 does not own a telephone and has 1 person that he is liable to provide maintenance for.
126,male,'0<=X<200',36,'existing paid',repairs,2384,'<100','<1',4,none,1,'no known property',33,none,rent,1,'unskilled resident',1,none,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 36, credit_history is 'existing paid', purpose is repairs, credit_amount is 2384, 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 33, 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 : 36
 - credit_history : 'existing paid'
 - purpose : repairs
 - credit_amount : 2384
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'no known property'
 - age : 33
 - 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 36. The credit_history is 'existing paid'. The purpose is repairs. The credit_amount is 2384. 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 33. 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>36</td>
      <td>'existing paid'</td>
      <td>repairs</td>
      <td>2384</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>1</td>
      <td>'no known property'</td>
      <td>33</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' & 36 & 'existing paid' & repairs & 2384 & '<100' & '<1' & 4 & none & 1 & 'no known property' & 33 & none & rent & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 33, 'checking_status': ""'0<=X<200'"", 'credit_amount': 2384, 'credit_history': ""'existing paid'"", 'duration': 36, 'employment': ""'<1'"", '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': 'repairs', 'residence_since': 1, 'savings_status': ""'<100'""}",A 33-year-old male German Foreigner is applying for a loan of 2384 credits for 36 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 less than one years and is recognized as an unskilled resident individual. He has lived in a rented apartment 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.
127,female,'no checking',9,'critical/other existing credit',education,1244,'no known savings','>=7',4,none,4,'life insurance',41,none,rent,2,'unskilled resident',1,none,yes,good,"gender is female, checking_status is 'no checking', duration is 9, credit_history is 'critical/other existing credit', purpose is education, credit_amount is 1244, 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 41, 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 : 9
 - credit_history : 'critical/other existing credit'
 - purpose : education
 - credit_amount : 1244
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 41
 - 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 9. The credit_history is 'critical/other existing credit'. The purpose is education. The credit_amount is 1244. 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 41. 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>9</td>
      <td>'critical/other existing credit'</td>
      <td>education</td>
      <td>1244</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>41</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' & 9 & 'critical/other existing credit' & education & 1244 & 'no known savings' & '>=7' & 4 & none & 4 & 'life insurance' & 41 & none & rent & 2 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 41, 'checking_status': ""'no checking'"", 'credit_amount': 1244, 'credit_history': ""'critical/other existing credit'"", 'duration': 9, 'employment': ""'>=7'"", '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': ""'life insurance'"", 'purpose': 'education', 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 41-year-old female German Foreigner is applying for a loan of 1244 credits for 9 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 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 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.
128,male,'no checking',12,'critical/other existing credit',furniture/equipment,3331,'<100','>=7',2,none,4,'life insurance',42,stores,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 furniture/equipment, credit_amount is 3331, 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 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 : 12
 - credit_history : 'critical/other existing credit'
 - purpose : furniture/equipment
 - credit_amount : 3331
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 42
 - 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 12. The credit_history is 'critical/other existing credit'. The purpose is furniture/equipment. The credit_amount is 3331. 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 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>12</td>
      <td>'critical/other existing credit'</td>
      <td>furniture/equipment</td>
      <td>3331</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>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' & 12 & 'critical/other existing credit' & furniture/equipment & 3331 & '<100' & '>=7' & 2 & none & 4 & 'life insurance' & 42 & stores & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 42, 'checking_status': ""'no checking'"", 'credit_amount': 3331, 'credit_history': ""'critical/other existing credit'"", 'duration': 12, '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': 'stores', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'<100'""}",A 42-year-old male German Foreigner is applying for a loan of 3331 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 2%. 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 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.
129,male,'no checking',24,'critical/other existing credit',education,1597,'<100','>=7',4,none,4,'no known property',54,none,'for free',2,skilled,2,none,yes,good,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'critical/other existing credit', purpose is education, credit_amount is 1597, 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 54, 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 : 24
 - credit_history : 'critical/other existing credit'
 - purpose : education
 - credit_amount : 1597
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 54
 - 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 24. The credit_history is 'critical/other existing credit'. The purpose is education. The credit_amount is 1597. 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 54. 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>24</td>
      <td>'critical/other existing credit'</td>
      <td>education</td>
      <td>1597</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>54</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' & 24 & 'critical/other existing credit' & education & 1597 & '<100' & '>=7' & 4 & none & 4 & 'no known property' & 54 & none & 'for free' & 2 & skilled & 2 & none & yes \\
\end{tabular}
","{'age': 54, 'checking_status': ""'no checking'"", 'credit_amount': 1597, 'credit_history': ""'critical/other existing credit'"", 'duration': 24, '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': 4, 'savings_status': ""'<100'""}",A 54-year-old male German Foreigner is applying for a loan of 1597 credits for 24 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 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.
130,male,'no checking',24,'delayed previously',business,3863,'<100','1<=X<4',1,none,2,'no known property',32,none,'for free',1,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 24, credit_history is 'delayed previously', purpose is business, credit_amount is 3863, savings_status is '<100', employment is '1<=X<4', installment_commitment is 1, 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 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 : business
 - credit_amount : 3863
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'no known property'
 - age : 32
 - 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 'no checking'. The duration is 24. The credit_history is 'delayed previously'. The purpose is business. The credit_amount is 3863. 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 '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 skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</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>3863</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>1</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>skilled</td>
      <td>1</td>
      <td>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & 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 & 3863 & '<100' & '1<=X<4' & 1 & none & 2 & 'no known property' & 32 & none & 'for free' & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 32, 'checking_status': ""'no checking'"", 'credit_amount': 3863, 'credit_history': ""'delayed previously'"", 'duration': 24, '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': 'none', 'property_magnitude': ""'no known property'"", 'purpose': 'business', 'residence_since': 2, 'savings_status': ""'<100'""}",A 32-year-old male German Foreigner is applying for a loan of 3863 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 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 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.
131,male,'<0',12,'existing paid',radio/tv,709,'<100','>=7',4,none,4,'real estate',57,stores,own,1,'unskilled resident',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 709, 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 57, 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 : male
 - checking_status : '<0'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 709
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 57
 - other_payment_plans : stores
 - 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 709. 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 57. 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>male</td>
      <td>'&lt;0'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>709</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>57</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 & male & '<0' & 12 & 'existing paid' & radio/tv & 709 & '<100' & '>=7' & 4 & none & 4 & 'real estate' & 57 & stores & own & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 57, 'checking_status': ""'<0'"", 'credit_amount': 709, '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': 1, 'other_parties': 'none', 'other_payment_plans': 'stores', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'<100'""}",A 57-year-old male German Foreigner is applying for a loan of 709 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 other installment plans with a store 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.
132,male,'0<=X<200',15,'existing paid',radio/tv,802,'<100','>=7',4,none,3,car,37,none,own,1,skilled,2,none,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 15, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 802, 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 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<=X<200'
 - duration : 15
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 802
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : car
 - 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<=X<200'. The duration is 15. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 802. 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 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>'0&lt;=X&lt;200'</td>
      <td>15</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>802</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>3</td>
      <td>car</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<=X<200' & 15 & 'existing paid' & radio/tv & 802 & '<100' & '>=7' & 4 & none & 3 & car & 37 & none & own & 1 & skilled & 2 & none & yes \\
\end{tabular}
","{'age': 37, 'checking_status': ""'0<=X<200'"", 'credit_amount': 802, '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': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'radio/tv', 'residence_since': 3, 'savings_status': ""'<100'""}",A 37-year-old male German Foreigner is applying for a loan of 802 credits for 15 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 3 years.  He owns a car. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
133,female,'no checking',12,'existing paid',furniture/equipment,1736,'<100','4<=X<7',3,none,4,'real estate',31,none,own,1,'unskilled resident',1,none,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 1736, 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 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 : female
 - checking_status : 'no checking'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 1736
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - 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 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 1736. 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 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>female</td>
      <td>'no checking'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>1736</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>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 & female & 'no checking' & 12 & 'existing paid' & furniture/equipment & 1736 & '<100' & '4<=X<7' & 3 & none & 4 & 'real estate' & 31 & none & own & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 31, 'checking_status': ""'no checking'"", 'credit_amount': 1736, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'4<=X<7'"", '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': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'<100'""}",A 31-year-old female German Foreigner is applying for a loan of 1736 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 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 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.
134,male,'<0',6,'existing paid','new car',662,'<100','<1',3,none,4,'real estate',41,none,own,1,'unskilled resident',2,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 662, 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 41, 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'
 - duration : 6
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 662
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 41
 - 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'. The duration is 6. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 662. 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 41. 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>'&lt;0'</td>
      <td>6</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>662</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>3</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>41</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' & 6 & 'existing paid' & 'new car' & 662 & '<100' & '<1' & 3 & none & 4 & 'real estate' & 41 & none & own & 1 & 'unskilled resident' & 2 & yes & yes \\
\end{tabular}
","{'age': 41, 'checking_status': ""'<0'"", 'credit_amount': 662, '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': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 41-year-old male German Foreigner is applying for a loan of 662 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 duly paid back credits received from this bank 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 4 years.  He owns some real estate property. He owns a telephone and has 2 people that he is liable to provide maintenance for.
135,male,'no checking',6,'all paid','new car',783,'no known savings','1<=X<4',1,guarantor,2,'real estate',26,stores,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 'new car', credit_amount is 783, savings_status is 'no known savings', employment is '1<=X<4', installment_commitment is 1, other_parties is guarantor, residence_since is 2, property_magnitude is 'real estate', age is 26, other_payment_plans is stores, 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 : 'new car'
 - credit_amount : 783
 - savings_status : 'no known savings'
 - employment : '1<=X<4'
 - installment_commitment : 1
 - other_parties : guarantor
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 26
 - other_payment_plans : stores
 - 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 'new car'. The credit_amount is 783. The savings_status is 'no known savings'. 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 'real estate'. The age is 26. The other_payment_plans is stores. 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>'new car'</td>
      <td>783</td>
      <td>'no known savings'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>1</td>
      <td>guarantor</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>26</td>
      <td>stores</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' & 'new car' & 783 & 'no known savings' & '1<=X<4' & 1 & guarantor & 2 & 'real estate' & 26 & stores & own & 1 & 'unskilled resident' & 2 & none & yes \\
\end{tabular}
","{'age': 26, 'checking_status': ""'no checking'"", 'credit_amount': 783, 'credit_history': ""'all paid'"", 'duration': 6, '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': 'guarantor', 'other_payment_plans': 'stores', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'no known savings'""}",A 26-year-old male German Foreigner is applying for a loan of 783 credits for 6 months for new 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 1%. 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 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.
136,female,'<0',21,'existing paid',radio/tv,1835,'<100','1<=X<4',3,none,2,'real estate',25,none,own,2,skilled,1,yes,yes,bad,"gender is female, checking_status is '<0', duration is 21, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 1835, 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 2, job is skilled, 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 : 1835
 - 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 : 2
 - job : skilled
 - 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 1835. 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 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>21</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1835</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>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' & 21 & 'existing paid' & radio/tv & 1835 & '<100' & '1<=X<4' & 3 & none & 2 & 'real estate' & 25 & none & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 25, 'checking_status': ""'<0'"", 'credit_amount': 1835, 'credit_history': ""'existing paid'"", 'duration': 21, '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': ""'real estate'"", 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 25-year-old female German Foreigner is applying for a loan of 1835 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 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 owns a telephone and has 1 person that she is liable to provide maintenance for.
137,female,'0<=X<200',6,'critical/other existing credit',retraining,932,'no known savings','4<=X<7',1,none,3,'life insurance',39,none,own,2,'unskilled resident',1,none,yes,good,"gender is female, checking_status is '0<=X<200', duration is 6, credit_history is 'critical/other existing credit', purpose is retraining, credit_amount is 932, savings_status is 'no known savings', employment is '4<=X<7', installment_commitment is 1, other_parties is none, residence_since is 3, 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 : female
 - checking_status : '0<=X<200'
 - duration : 6
 - credit_history : 'critical/other existing credit'
 - purpose : retraining
 - credit_amount : 932
 - savings_status : 'no known savings'
 - employment : '4<=X<7'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 3
 - 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 female. The checking_status is '0<=X<200'. The duration is 6. The credit_history is 'critical/other existing credit'. The purpose is retraining. The credit_amount is 932. 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 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 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>6</td>
      <td>'critical/other existing credit'</td>
      <td>retraining</td>
      <td>932</td>
      <td>'no known savings'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>1</td>
      <td>none</td>
      <td>3</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 & female & '0<=X<200' & 6 & 'critical/other existing credit' & retraining & 932 & 'no known savings' & '4<=X<7' & 1 & none & 3 & 'life insurance' & 39 & none & own & 2 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 39, 'checking_status': ""'0<=X<200'"", 'credit_amount': 932, 'credit_history': ""'critical/other existing credit'"", 'duration': 6, 'employment': ""'4<=X<7'"", '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': 'retraining', 'residence_since': 3, 'savings_status': ""'no known savings'""}",A 39-year-old female German Foreigner is applying for a loan of 932 credits for 6 months for retraining purposes. She has a checking account with less than 200 Deutsche Mark 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 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 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.
138,male,'<0',6,'existing paid',furniture/equipment,1374,'<100','1<=X<4',1,none,2,'real estate',36,bank,own,1,'unskilled resident',1,yes,yes,good,"gender is male, checking_status is '<0', duration is 6, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 1374, 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 36, other_payment_plans is bank, 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 : 6
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 1374
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 36
 - other_payment_plans : bank
 - 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 6. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 1374. 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 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 yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</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>furniture/equipment</td>
      <td>1374</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>36</td>
      <td>bank</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' & 6 & 'existing paid' & furniture/equipment & 1374 & '<100' & '1<=X<4' & 1 & none & 2 & 'real estate' & 36 & bank & own & 1 & 'unskilled resident' & 1 & yes & yes \\
\end{tabular}
","{'age': 36, 'checking_status': ""'<0'"", 'credit_amount': 1374, 'credit_history': ""'existing paid'"", 'duration': 6, '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': 'bank', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': 'furniture/equipment', 'residence_since': 2, 'savings_status': ""'<100'""}",A 36-year-old male German Foreigner is applying for a loan of 1374 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 duly paid back credits received from this bank 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 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 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.
139,male,'<0',8,'critical/other existing credit',other,1164,'<100','>=7',3,none,4,'no known property',51,bank,'for free',2,'high qualif/self emp/mgmt',2,yes,yes,good,"gender is male, checking_status is '<0', duration is 8, credit_history is 'critical/other existing credit', purpose is other, credit_amount is 1164, 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 bank, housing is 'for free', 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'
 - duration : 8
 - credit_history : 'critical/other existing credit'
 - purpose : other
 - credit_amount : 1164
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 51
 - other_payment_plans : bank
 - housing : 'for free'
 - 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'. The duration is 8. The credit_history is 'critical/other existing credit'. The purpose is other. The credit_amount is 1164. 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 bank. The housing is 'for free'. 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>'&lt;0'</td>
      <td>8</td>
      <td>'critical/other existing credit'</td>
      <td>other</td>
      <td>1164</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>bank</td>
      <td>'for free'</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' & 8 & 'critical/other existing credit' & other & 1164 & '<100' & '>=7' & 3 & none & 4 & 'no known property' & 51 & bank & 'for free' & 2 & 'high qualif/self emp/mgmt' & 2 & yes & yes \\
\end{tabular}
","{'age': 51, 'checking_status': ""'<0'"", 'credit_amount': 1164, 'credit_history': ""'critical/other existing credit'"", 'duration': 8, 'employment': ""'>=7'"", 'existing_credits': 2, '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': 'bank', 'own_telephone': 'yes', 'property_magnitude': ""'no known property'"", 'purpose': 'other', 'residence_since': 4, 'savings_status': ""'<100'""}",A 51-year-old male German Foreigner is applying for a loan of 1164 credits for 8 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 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 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.
140,female,'<0',48,'critical/other existing credit','used car',6143,'<100','>=7',4,none,4,'no known property',58,stores,'for free',2,'unskilled resident',1,none,yes,bad,"gender is female, checking_status is '<0', duration is 48, credit_history is 'critical/other existing credit', purpose is 'used car', credit_amount is 6143, 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 58, other_payment_plans is stores, housing is 'for free', 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'
 - duration : 48
 - credit_history : 'critical/other existing credit'
 - purpose : 'used car'
 - credit_amount : 6143
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 58
 - other_payment_plans : stores
 - housing : 'for free'
 - existing_credits : 2
 - job : 'unskilled resident'
 - 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 'critical/other existing credit'. The purpose is 'used car'. The credit_amount is 6143. 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 58. The other_payment_plans is stores. The housing is 'for free'. 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>'&lt;0'</td>
      <td>48</td>
      <td>'critical/other existing credit'</td>
      <td>'used car'</td>
      <td>6143</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>58</td>
      <td>stores</td>
      <td>'for free'</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' & 48 & 'critical/other existing credit' & 'used car' & 6143 & '<100' & '>=7' & 4 & none & 4 & 'no known property' & 58 & stores & 'for free' & 2 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 58, 'checking_status': ""'<0'"", 'credit_amount': 6143, 'credit_history': ""'critical/other existing credit'"", 'duration': 48, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'female', 'housing': ""'for free'"", 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'stores', 'own_telephone': 'none', 'property_magnitude': ""'no known property'"", 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 58-year-old female German Foreigner is applying for a loan of 6143 credits for 48 months for used 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 other installment plans with a store 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 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.
141,male,'no checking',6,'no credits/all paid','new car',1204,'100<=X<500','1<=X<4',4,none,1,'no known property',35,bank,rent,1,skilled,1,none,no,good,"gender is male, checking_status is 'no checking', duration is 6, credit_history is 'no credits/all paid', purpose is 'new car', credit_amount is 1204, 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 'no known property', age is 35, 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 no","- gender : male
 - checking_status : 'no checking'
 - duration : 6
 - credit_history : 'no credits/all paid'
 - purpose : 'new car'
 - credit_amount : 1204
 - savings_status : '100<=X<500'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'no known property'
 - age : 35
 - other_payment_plans : bank
 - housing : rent
 - 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 6. The credit_history is 'no credits/all paid'. The purpose is 'new car'. The credit_amount is 1204. 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 'no known property'. The age is 35. 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 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>6</td>
      <td>'no credits/all paid'</td>
      <td>'new car'</td>
      <td>1204</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>'no known property'</td>
      <td>35</td>
      <td>bank</td>
      <td>rent</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' & 6 & 'no credits/all paid' & 'new car' & 1204 & '100<=X<500' & '1<=X<4' & 4 & none & 1 & 'no known property' & 35 & bank & rent & 1 & skilled & 1 & none & no \\
\end{tabular}
","{'age': 35, 'checking_status': ""'no checking'"", 'credit_amount': 1204, 'credit_history': ""'no credits/all paid'"", 'duration': 6, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'no', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 4, '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': 1, 'savings_status': ""'100<=X<500'""}",A 35-year-old male German Citizen is applying for a loan of 1204 credits for 6 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 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 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 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.
142,female,'0<=X<200',6,'all paid',education,433,'>=1000','<1',4,none,2,'life insurance',24,bank,rent,1,skilled,2,none,yes,bad,"gender is female, checking_status is '0<=X<200', duration is 6, credit_history is 'all paid', purpose is education, credit_amount is 433, savings_status is '>=1000', employment is '<1', installment_commitment is 4, other_parties is none, residence_since is 2, property_magnitude is 'life insurance', age is 24, other_payment_plans is bank, housing is rent, 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 : 6
 - credit_history : 'all paid'
 - purpose : education
 - credit_amount : 433
 - savings_status : '>=1000'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 24
 - other_payment_plans : bank
 - housing : rent
 - 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 6. The credit_history is 'all paid'. The purpose is education. The credit_amount is 433. 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 'life insurance'. The age is 24. The other_payment_plans is bank. 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>female</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>6</td>
      <td>'all paid'</td>
      <td>education</td>
      <td>433</td>
      <td>'&gt;=1000'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>24</td>
      <td>bank</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 & female & '0<=X<200' & 6 & 'all paid' & education & 433 & '>=1000' & '<1' & 4 & none & 2 & 'life insurance' & 24 & bank & rent & 1 & skilled & 2 & none & yes \\
\end{tabular}
","{'age': 24, 'checking_status': ""'0<=X<200'"", 'credit_amount': 433, 'credit_history': ""'all paid'"", 'duration': 6, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 4, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'education', 'residence_since': 2, 'savings_status': ""'>=1000'""}",A 24-year-old female German Foreigner is applying for a loan of 433 credits for 6 months for education 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 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 less than one years. She has lived in a rented apartment for 2 years.  She owns life insurance property. She does not own a telephone and has 2 people that she is liable to provide maintenance for.
143,male,'no checking',12,'existing paid',furniture/equipment,1574,'<100','1<=X<4',4,none,2,'real estate',50,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 furniture/equipment, credit_amount is 1574, 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 50, 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 : furniture/equipment
 - credit_amount : 1574
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 50
 - 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 furniture/equipment. The credit_amount is 1574. 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 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 none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</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>1574</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>50</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' & furniture/equipment & 1574 & '<100' & '1<=X<4' & 4 & none & 2 & 'real estate' & 50 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 50, 'checking_status': ""'no checking'"", 'credit_amount': 1574, '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': 'furniture/equipment', 'residence_since': 2, 'savings_status': ""'<100'""}",A 50-year-old male German Foreigner is applying for a loan of 1574 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 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.
144,male,'0<=X<200',36,'critical/other existing credit','used car',5800,'<100','1<=X<4',3,none,4,car,34,none,own,2,skilled,1,yes,yes,good,"gender is male, checking_status is '0<=X<200', duration is 36, credit_history is 'critical/other existing credit', purpose is 'used car', credit_amount is 5800, 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 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<=X<200'
 - duration : 36
 - credit_history : 'critical/other existing credit'
 - purpose : 'used car'
 - credit_amount : 5800
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - 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<=X<200'. The duration is 36. The credit_history is 'critical/other existing credit'. The purpose is 'used car'. The credit_amount is 5800. 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 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>'0&lt;=X&lt;200'</td>
      <td>36</td>
      <td>'critical/other existing credit'</td>
      <td>'used car'</td>
      <td>5800</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>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<=X<200' & 36 & 'critical/other existing credit' & 'used car' & 5800 & '<100' & '1<=X<4' & 3 & none & 4 & car & 34 & none & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 34, 'checking_status': ""'0<=X<200'"", 'credit_amount': 5800, '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': 'car', 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 34-year-old male German Foreigner is applying for a loan of 5800 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 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 4 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
145,male,'<0',24,'all paid',business,3161,'<100','1<=X<4',4,none,2,'life insurance',31,none,rent,1,skilled,1,yes,yes,bad,"gender is male, checking_status is '<0', duration is 24, credit_history is 'all paid', purpose is business, credit_amount is 3161, 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 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 : 24
 - credit_history : 'all paid'
 - purpose : business
 - credit_amount : 3161
 - 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 : 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 24. The credit_history is 'all paid'. The purpose is business. The credit_amount is 3161. 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 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>24</td>
      <td>'all paid'</td>
      <td>business</td>
      <td>3161</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>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' & 24 & 'all paid' & business & 3161 & '<100' & '1<=X<4' & 4 & none & 2 & 'life insurance' & 31 & none & rent & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 31, 'checking_status': ""'<0'"", 'credit_amount': 3161, 'credit_history': ""'all paid'"", 'duration': 24, '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': ""'life insurance'"", 'purpose': 'business', 'residence_since': 2, 'savings_status': ""'<100'""}",A 31-year-old male German Foreigner is applying for a loan of 3161 credits for 24 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 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 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.
146,male,'0<=X<200',8,'existing paid',business,907,'<100','<1',3,none,2,'real estate',26,none,own,1,skilled,1,yes,yes,good,"gender is male, checking_status is '0<=X<200', duration is 8, credit_history is 'existing paid', purpose is business, credit_amount is 907, savings_status is '<100', employment is '<1', installment_commitment is 3, 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 yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 8
 - credit_history : 'existing paid'
 - purpose : business
 - credit_amount : 907
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 3
 - 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 : yes",The gender is male. The checking_status is '0<=X<200'. The duration is 8. The credit_history is 'existing paid'. The purpose is business. The credit_amount is 907. 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 '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>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>8</td>
      <td>'existing paid'</td>
      <td>business</td>
      <td>907</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>3</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>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_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' & business & 907 & '<100' & '<1' & 3 & none & 2 & 'real estate' & 26 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 26, 'checking_status': ""'0<=X<200'"", 'credit_amount': 907, 'credit_history': ""'existing paid'"", 'duration': 8, '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': 'business', 'residence_since': 2, 'savings_status': ""'<100'""}",A 26-year-old male German Foreigner is applying for a loan of 907 credits for 8 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 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 some real estate property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
147,female,'no checking',12,'all paid',retraining,3447,'500<=X<1000','1<=X<4',4,none,3,'real estate',35,none,own,1,'unskilled resident',2,none,yes,good,"gender is female, checking_status is 'no checking', duration is 12, credit_history is 'all paid', purpose is retraining, credit_amount is 3447, 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 35, 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 : 'no checking'
 - duration : 12
 - credit_history : 'all paid'
 - purpose : retraining
 - credit_amount : 3447
 - savings_status : '500<=X<1000'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'real estate'
 - age : 35
 - 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 'no checking'. The duration is 12. The credit_history is 'all paid'. The purpose is retraining. The credit_amount is 3447. 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 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 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>'all paid'</td>
      <td>retraining</td>
      <td>3447</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>35</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 & 'no checking' & 12 & 'all paid' & retraining & 3447 & '500<=X<1000' & '1<=X<4' & 4 & none & 3 & 'real estate' & 35 & none & own & 1 & 'unskilled resident' & 2 & none & yes \\
\end{tabular}
","{'age': 35, 'checking_status': ""'no checking'"", 'credit_amount': 3447, 'credit_history': ""'all 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': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': 'retraining', 'residence_since': 3, 'savings_status': ""'500<=X<1000'""}",A 35-year-old female German Foreigner is applying for a loan of 3447 credits for 12 months for retraining 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 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 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 2 people that she is liable to provide maintenance for.
148,male,'<0',36,'existing paid',furniture/equipment,2712,'<100','>=7',2,none,2,'life insurance',41,bank,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 2712, 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 41, 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 : '<0'
 - duration : 36
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 2712
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 41
 - 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 '<0'. The duration is 36. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 2712. 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 41. 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>'&lt;0'</td>
      <td>36</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>2712</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>2</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>41</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 & '<0' & 36 & 'existing paid' & furniture/equipment & 2712 & '<100' & '>=7' & 2 & none & 2 & 'life insurance' & 41 & bank & own & 1 & skilled & 2 & none & yes \\
\end{tabular}
","{'age': 41, 'checking_status': ""'<0'"", 'credit_amount': 2712, 'credit_history': ""'existing paid'"", 'duration': 36, 'employment': ""'>=7'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 2, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 2, 'savings_status': ""'<100'""}",A 41-year-old male German Foreigner is applying for a loan of 2712 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 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 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.
149,male,'<0',24,'existing paid',radio/tv,1938,'<100','<1',4,none,3,'life insurance',32,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 radio/tv, credit_amount is 1938, 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 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 : male
 - checking_status : '<0'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 1938
 - savings_status : '<100'
 - employment : '<1'
 - 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 : 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 1938. 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 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>male</td>
      <td>'&lt;0'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>1938</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</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>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & installment_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 & 1938 & '<100' & '<1' & 4 & none & 3 & 'life insurance' & 32 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 32, 'checking_status': ""'<0'"", 'credit_amount': 1938, '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': 'radio/tv', 'residence_since': 3, 'savings_status': ""'<100'""}",A 32-year-old male German Foreigner is applying for a loan of 1938 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 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 life insurance property. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
150,male,'no checking',24,'critical/other existing credit',radio/tv,1851,'<100','4<=X<7',4,guarantor,2,car,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 radio/tv, credit_amount is 1851, savings_status is '<100', employment is '4<=X<7', installment_commitment is 4, other_parties is guarantor, 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 : male
 - checking_status : 'no checking'
 - duration : 24
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 1851
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : guarantor
 - 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 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 1851. 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 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>male</td>
      <td>'no checking'</td>
      <td>24</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>1851</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>guarantor</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 & male & 'no checking' & 24 & 'critical/other existing credit' & radio/tv & 1851 & '<100' & '4<=X<7' & 4 & guarantor & 2 & car & 33 & none & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 33, 'checking_status': ""'no checking'"", 'credit_amount': 1851, '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': 'guarantor', 'other_payment_plans': 'none', 'own_telephone': 'yes', '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 1851 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 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 2 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
151,male,'0<=X<200',24,'existing paid','new car',3512,'100<=X<500','4<=X<7',2,none,3,car,38,bank,own,2,skilled,1,yes,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 3512, 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 car, age is 38, 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 : 24
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 3512
 - savings_status : '100<=X<500'
 - employment : '4<=X<7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 3
 - property_magnitude : car
 - age : 38
 - 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 24. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 3512. 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 car. 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 1. The own_telephone is yes. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</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>3512</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>car</td>
      <td>38</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' & 24 & 'existing paid' & 'new car' & 3512 & '100<=X<500' & '4<=X<7' & 2 & none & 3 & car & 38 & bank & own & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 38, 'checking_status': ""'0<=X<200'"", 'credit_amount': 3512, 'credit_history': ""'existing paid'"", 'duration': 24, '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': 'yes', 'property_magnitude': 'car', 'purpose': ""'new car'"", 'residence_since': 3, 'savings_status': ""'100<=X<500'""}",A 38-year-old male German Foreigner is applying for a loan of 3512 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 duly paid back credits received from this bank 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 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.
152,male,'0<=X<200',18,'delayed previously',business,2427,'no known savings','>=7',4,none,2,'life insurance',42,none,own,2,skilled,1,none,yes,good,"gender is male, checking_status is '0<=X<200', duration is 18, credit_history is 'delayed previously', purpose is business, credit_amount is 2427, 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 42, 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 : 18
 - credit_history : 'delayed previously'
 - purpose : business
 - credit_amount : 2427
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 42
 - 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 18. The credit_history is 'delayed previously'. The purpose is business. The credit_amount is 2427. 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 42. 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>18</td>
      <td>'delayed previously'</td>
      <td>business</td>
      <td>2427</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>42</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' & 18 & 'delayed previously' & business & 2427 & 'no known savings' & '>=7' & 4 & none & 2 & 'life insurance' & 42 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 42, 'checking_status': ""'0<=X<200'"", 'credit_amount': 2427, 'credit_history': ""'delayed previously'"", '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': ""'life insurance'"", 'purpose': 'business', 'residence_since': 2, 'savings_status': ""'no known savings'""}",A 42-year-old male German Foreigner is applying for a loan of 2427 credits for 18 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 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.
153,female,'<0',18,'critical/other existing credit',repairs,1190,'<100',unemployed,2,none,4,'no known property',55,none,'for free',3,'unemp/unskilled non res',2,none,yes,bad,"gender is female, checking_status is '<0', duration is 18, credit_history is 'critical/other existing credit', purpose is repairs, credit_amount is 1190, 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 55, other_payment_plans is none, housing is 'for free', existing_credits is 3, job is 'unemp/unskilled non res', num_dependents is 2, own_telephone is none, foreign_worker is yes","- gender : female
 - checking_status : '<0'
 - duration : 18
 - credit_history : 'critical/other existing credit'
 - purpose : repairs
 - credit_amount : 1190
 - savings_status : '<100'
 - employment : unemployed
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 55
 - other_payment_plans : none
 - housing : 'for free'
 - existing_credits : 3
 - job : 'unemp/unskilled non res'
 - num_dependents : 2
 - 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 repairs. The credit_amount is 1190. 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 55. 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 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>'&lt;0'</td>
      <td>18</td>
      <td>'critical/other existing credit'</td>
      <td>repairs</td>
      <td>1190</td>
      <td>'&lt;100'</td>
      <td>unemployed</td>
      <td>2</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>55</td>
      <td>none</td>
      <td>'for free'</td>
      <td>3</td>
      <td>'unemp/unskilled non res'</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' & 18 & 'critical/other existing credit' & repairs & 1190 & '<100' & unemployed & 2 & none & 4 & 'no known property' & 55 & none & 'for free' & 3 & 'unemp/unskilled non res' & 2 & none & yes \\
\end{tabular}
","{'age': 55, 'checking_status': ""'<0'"", 'credit_amount': 1190, 'credit_history': ""'critical/other existing credit'"", 'duration': 18, 'employment': 'unemployed', 'existing_credits': 3, 'foreign_worker': 'yes', 'gender': 'female', 'housing': ""'for free'"", 'installment_commitment': 2, 'job': ""'unemp/unskilled non res'"", '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': ""'<100'""}",A 55-year-old female German Foreigner is applying for a loan of 1190 credits for 18 months for repairs 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 2%. She has no other installment plans and 3 credits at this bank. She is unemployed and is recognized as an unemployed or unskilled non-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.
154,male,'no checking',10,'existing paid','new car',1546,'<100','1<=X<4',3,none,2,'real estate',31,none,own,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 1546, 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 31, 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 : 'no checking'
 - duration : 10
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 1546
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 3
 - 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 : 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 1546. 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 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 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>1546</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>31</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 & 'no checking' & 10 & 'existing paid' & 'new car' & 1546 & '<100' & '1<=X<4' & 3 & none & 2 & 'real estate' & 31 & none & own & 1 & 'unskilled resident' & 2 & none & no \\
\end{tabular}
","{'age': 31, 'checking_status': ""'no checking'"", 'credit_amount': 1546, 'credit_history': ""'existing paid'"", 'duration': 10, 'employment': ""'1<=X<4'"", 'existing_credits': 1, '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': 2, 'savings_status': ""'<100'""}",A 31-year-old male German Citizen is applying for a loan of 1546 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 duly paid back credits received from this bank 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 some real estate property. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
155,female,'0<=X<200',12,'existing paid',furniture/equipment,3017,'<100','<1',3,none,1,'real estate',34,none,rent,1,'high qualif/self emp/mgmt',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 3017, 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 34, 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 none, foreign_worker is yes","- gender : female
 - checking_status : '0<=X<200'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 3017
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'real estate'
 - age : 34
 - other_payment_plans : none
 - housing : rent
 - 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<=X<200'. The duration is 12. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 3017. 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 34. 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 none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</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>3017</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>3</td>
      <td>none</td>
      <td>1</td>
      <td>'real estate'</td>
      <td>34</td>
      <td>none</td>
      <td>rent</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<=X<200' & 12 & 'existing paid' & furniture/equipment & 3017 & '<100' & '<1' & 3 & none & 1 & 'real estate' & 34 & none & rent & 1 & 'high qualif/self emp/mgmt' & 1 & none & yes \\
\end{tabular}
","{'age': 34, 'checking_status': ""'0<=X<200'"", 'credit_amount': 3017, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 3, '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': 1, 'savings_status': ""'<100'""}",A 34-year-old female German Foreigner is applying for a loan of 3017 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 has duly paid back credits received from this bank 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 a highly qualified employee or is self employed or has managerial position. 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.
156,male,'0<=X<200',9,'existing paid','new car',276,'<100','1<=X<4',4,none,4,'real estate',22,none,rent,1,'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 'new car', credit_amount is 276, 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 22, 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 : 9
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 276
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 22
 - 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 9. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 276. 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 22. 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>9</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>276</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>22</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' & 9 & 'existing paid' & 'new car' & 276 & '<100' & '1<=X<4' & 4 & none & 4 & 'real estate' & 22 & none & rent & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 22, 'checking_status': ""'0<=X<200'"", 'credit_amount': 276, 'credit_history': ""'existing paid'"", 'duration': 9, 'employment': ""'1<=X<4'"", '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'""}",A 22-year-old male German Foreigner is applying for a loan of 276 credits for 9 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 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 1 person that he is liable to provide maintenance for.
157,female,'no checking',12,'critical/other existing credit','new car',926,'<100',unemployed,1,none,2,'life insurance',38,none,own,1,'unemp/unskilled non res',1,none,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 926, savings_status is '<100', employment is unemployed, installment_commitment is 1, other_parties is none, residence_since is 2, property_magnitude is 'life insurance', age is 38, 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 : 'no checking'
 - duration : 12
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 926
 - savings_status : '<100'
 - employment : unemployed
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 38
 - 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 'no checking'. The duration is 12. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 926. 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 'life insurance'. The age is 38. 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>'no checking'</td>
      <td>12</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>926</td>
      <td>'&lt;100'</td>
      <td>unemployed</td>
      <td>1</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>38</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 & 'no checking' & 12 & 'critical/other existing credit' & 'new car' & 926 & '<100' & unemployed & 1 & none & 2 & 'life insurance' & 38 & none & own & 1 & 'unemp/unskilled non res' & 1 & none & yes \\
\end{tabular}
","{'age': 38, 'checking_status': ""'no checking'"", 'credit_amount': 926, 'credit_history': ""'critical/other existing credit'"", 'duration': 12, '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': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'<100'""}",A 38-year-old female German Foreigner is applying for a loan of 926 credits for 12 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 unemployed and is recognized as an unemployed or unskilled non-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.
158,male,'0<=X<200',9,'existing paid',business,1391,'<100','1<=X<4',2,none,1,'real estate',27,bank,own,1,skilled,1,yes,yes,good,"gender is male, checking_status is '0<=X<200', duration is 9, credit_history is 'existing paid', purpose is business, credit_amount is 1391, savings_status is '<100', employment is '1<=X<4', installment_commitment is 2, other_parties is none, residence_since is 1, property_magnitude is 'real estate', 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<=X<200'
 - duration : 9
 - credit_history : 'existing paid'
 - purpose : business
 - credit_amount : 1391
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'real estate'
 - 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<=X<200'. The duration is 9. The credit_history is 'existing paid'. The purpose is business. The credit_amount is 1391. 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 'real estate'. 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>'0&lt;=X&lt;200'</td>
      <td>9</td>
      <td>'existing paid'</td>
      <td>business</td>
      <td>1391</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>1</td>
      <td>'real estate'</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<=X<200' & 9 & 'existing paid' & business & 1391 & '<100' & '1<=X<4' & 2 & none & 1 & 'real estate' & 27 & bank & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 27, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1391, 'credit_history': ""'existing paid'"", 'duration': 9, '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': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': 'business', 'residence_since': 1, 'savings_status': ""'<100'""}",A 27-year-old male German Foreigner is applying for a loan of 1391 credits for 9 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 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 1 years.  He owns some real estate property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
159,male,'0<=X<200',24,'existing paid',furniture/equipment,4057,'<100','4<=X<7',3,none,3,car,43,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 furniture/equipment, credit_amount is 4057, 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 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<=X<200'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 4057
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 3
 - property_magnitude : car
 - 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<=X<200'. The duration is 24. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 4057. 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 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>'0&lt;=X&lt;200'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>4057</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>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<=X<200' & 24 & 'existing paid' & furniture/equipment & 4057 & '<100' & '4<=X<7' & 3 & none & 3 & car & 43 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 43, 'checking_status': ""'0<=X<200'"", 'credit_amount': 4057, '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': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'furniture/equipment', 'residence_since': 3, 'savings_status': ""'<100'""}",A 43-year-old male German Foreigner is applying for a loan of 4057 credits for 24 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 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 3 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
160,female,'0<=X<200',6,'all paid','new car',931,'100<=X<500','<1',1,none,1,'life insurance',32,stores,own,1,'unskilled resident',1,none,yes,bad,"gender is female, checking_status is '0<=X<200', duration is 6, credit_history is 'all paid', purpose is 'new car', credit_amount is 931, savings_status is '100<=X<500', employment is '<1', installment_commitment is 1, other_parties is none, residence_since is 1, property_magnitude is 'life insurance', age is 32, 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 : '0<=X<200'
 - duration : 6
 - credit_history : 'all paid'
 - purpose : 'new car'
 - credit_amount : 931
 - savings_status : '100<=X<500'
 - employment : '<1'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'life insurance'
 - age : 32
 - 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 '0<=X<200'. The duration is 6. The credit_history is 'all paid'. The purpose is 'new car'. The credit_amount is 931. 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 1. The property_magnitude is 'life insurance'. The age is 32. 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>'0&lt;=X&lt;200'</td>
      <td>6</td>
      <td>'all paid'</td>
      <td>'new car'</td>
      <td>931</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'&lt;1'</td>
      <td>1</td>
      <td>none</td>
      <td>1</td>
      <td>'life insurance'</td>
      <td>32</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 & '0<=X<200' & 6 & 'all paid' & 'new car' & 931 & '100<=X<500' & '<1' & 1 & none & 1 & 'life insurance' & 32 & stores & own & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 32, 'checking_status': ""'0<=X<200'"", 'credit_amount': 931, 'credit_history': ""'all paid'"", 'duration': 6, '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': ""'new car'"", 'residence_since': 1, 'savings_status': ""'100<=X<500'""}",A 32-year-old female German Foreigner is applying for a loan of 931 credits for 6 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 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 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.
161,female,'no checking',10,'existing paid','used car',2901,'no known savings','<1',1,none,4,'real estate',31,none,rent,1,skilled,1,none,yes,good,"gender is female, checking_status is 'no checking', duration is 10, credit_history is 'existing paid', purpose is 'used car', credit_amount is 2901, savings_status is 'no known savings', employment is '<1', installment_commitment is 1, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 31, 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 : 10
 - credit_history : 'existing paid'
 - purpose : 'used car'
 - credit_amount : 2901
 - savings_status : 'no known savings'
 - employment : '<1'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 31
 - 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 10. The credit_history is 'existing paid'. The purpose is 'used car'. The credit_amount is 2901. 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 4. The property_magnitude is 'real estate'. The age is 31. 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>10</td>
      <td>'existing paid'</td>
      <td>'used car'</td>
      <td>2901</td>
      <td>'no known savings'</td>
      <td>'&lt;1'</td>
      <td>1</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>31</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' & 10 & 'existing paid' & 'used car' & 2901 & 'no known savings' & '<1' & 1 & none & 4 & 'real estate' & 31 & none & rent & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 31, 'checking_status': ""'no checking'"", 'credit_amount': 2901, 'credit_history': ""'existing paid'"", 'duration': 10, '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': ""'real estate'"", 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 31-year-old female German Foreigner is applying for a loan of 2901 credits for 10 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 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 does not own a telephone and has 1 person that she is liable to provide maintenance for.
162,male,'<0',12,'existing paid',education,684,'<100','1<=X<4',4,none,4,car,40,none,rent,1,'unskilled resident',2,none,yes,bad,"gender is male, checking_status is '<0', duration is 12, credit_history is 'existing paid', purpose is education, credit_amount is 684, 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 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 yes","- gender : male
 - checking_status : '<0'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : education
 - credit_amount : 684
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 40
 - 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 12. The credit_history is 'existing paid'. The purpose is education. The credit_amount is 684. 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 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 yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</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>education</td>
      <td>684</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>40</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' & 12 & 'existing paid' & education & 684 & '<100' & '1<=X<4' & 4 & none & 4 & car & 40 & none & rent & 1 & 'unskilled resident' & 2 & none & yes \\
\end{tabular}
","{'age': 40, 'checking_status': ""'<0'"", 'credit_amount': 684, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 4, 'job': ""'unskilled resident'"", 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'education', 'residence_since': 4, 'savings_status': ""'<100'""}",A 40-year-old male German Foreigner is applying for a loan of 684 credits for 12 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 duly paid back credits received from this bank 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 rented apartment 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.
163,male,'<0',48,'existing paid',education,7476,'<100','4<=X<7',4,none,1,'no known property',50,none,'for free',1,'high qualif/self emp/mgmt',1,yes,yes,good,"gender is male, checking_status is '<0', duration is 48, credit_history is 'existing paid', purpose is education, credit_amount is 7476, savings_status is '<100', employment is '4<=X<7', installment_commitment is 4, other_parties is none, residence_since is 1, property_magnitude is 'no known property', age is 50, 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 : 48
 - credit_history : 'existing paid'
 - purpose : education
 - credit_amount : 7476
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 1
 - property_magnitude : 'no known property'
 - age : 50
 - 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 48. The credit_history is 'existing paid'. The purpose is education. The credit_amount is 7476. 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 '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 '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>48</td>
      <td>'existing paid'</td>
      <td>education</td>
      <td>7476</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>1</td>
      <td>'no known property'</td>
      <td>50</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' & 48 & 'existing paid' & education & 7476 & '<100' & '4<=X<7' & 4 & none & 1 & 'no known property' & 50 & none & 'for free' & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 50, 'checking_status': ""'<0'"", 'credit_amount': 7476, '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': ""'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': 1, 'savings_status': ""'<100'""}",A 50-year-old male German Foreigner is applying for a loan of 7476 credits for 48 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 duly paid back credits received from this bank 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 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.
164,female,'no checking',15,'existing paid',furniture/equipment,2221,'500<=X<1000','1<=X<4',2,none,4,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 furniture/equipment, credit_amount is 2221, 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 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 : furniture/equipment
 - credit_amount : 2221
 - savings_status : '500<=X<1000'
 - 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 'no checking'. The duration is 15. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 2221. 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 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>furniture/equipment</td>
      <td>2221</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>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' & furniture/equipment & 2221 & '500<=X<1000' & '1<=X<4' & 2 & none & 4 & car & 20 & none & rent & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 20, 'checking_status': ""'no checking'"", 'credit_amount': 2221, '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': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'500<=X<1000'""}",A 20-year-old female German Foreigner is applying for a loan of 2221 credits for 15 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 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.
165,male,'<0',12,'critical/other existing credit','new car',4843,'<100','>=7',3,'co applicant',4,'life insurance',43,none,rent,2,skilled,1,yes,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 4843, savings_status is '<100', employment is '>=7', installment_commitment is 3, other_parties is 'co applicant', residence_since is 4, property_magnitude is 'life insurance', age is 43, 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 : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 4843
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 3
 - other_parties : 'co applicant'
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - age : 43
 - 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 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 4843. The savings_status is '<100'. The employment is '>=7'. The installment_commitment is 3. The other_parties is 'co applicant'. The residence_since is 4. The property_magnitude is 'life insurance'. The age is 43. 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>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>4843</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>3</td>
      <td>'co applicant'</td>
      <td>4</td>
      <td>'life insurance'</td>
      <td>43</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 & 'critical/other existing credit' & 'new car' & 4843 & '<100' & '>=7' & 3 & 'co applicant' & 4 & 'life insurance' & 43 & none & rent & 2 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 43, 'checking_status': ""'<0'"", 'credit_amount': 4843, 'credit_history': ""'critical/other existing credit'"", 'duration': 12, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'rent', 'installment_commitment': 3, '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': 4, 'savings_status': ""'<100'""}",A 43-year-old male German Foreigner is applying for a loan of 4843 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 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 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 life insurance property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
166,male,'no checking',18,'existing paid',furniture/equipment,2515,'<100','1<=X<4',3,none,4,'real estate',43,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 furniture/equipment, credit_amount is 2515, 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 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 : 'no checking'
 - duration : 18
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 2515
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - 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 'no checking'. The duration is 18. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 2515. 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 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>'no checking'</td>
      <td>18</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>2515</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>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 & 'no checking' & 18 & 'existing paid' & furniture/equipment & 2515 & '<100' & '1<=X<4' & 3 & none & 4 & 'real estate' & 43 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 43, 'checking_status': ""'no checking'"", 'credit_amount': 2515, 'credit_history': ""'existing paid'"", 'duration': 18, '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': ""'real estate'"", 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'<100'""}",A 43-year-old male German Foreigner is applying for a loan of 2515 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 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 some real estate property. He owns a telephone and has 1 person that he is liable to provide maintenance for.
167,male,'<0',12,'existing paid','new car',3651,'>=1000','1<=X<4',1,none,3,'life insurance',31,none,own,1,skilled,2,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 3651, savings_status is '>=1000', employment is '1<=X<4', 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 1, job is skilled, 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 : 3651
 - savings_status : '>=1000'
 - employment : '1<=X<4'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'life insurance'
 - age : 31
 - 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 12. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 3651. The savings_status is '>=1000'. 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 '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 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>3651</td>
      <td>'&gt;=1000'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>1</td>
      <td>none</td>
      <td>3</td>
      <td>'life insurance'</td>
      <td>31</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' & 12 & 'existing paid' & 'new car' & 3651 & '>=1000' & '1<=X<4' & 1 & none & 3 & 'life insurance' & 31 & none & own & 1 & skilled & 2 & none & yes \\
\end{tabular}
","{'age': 31, 'checking_status': ""'<0'"", 'credit_amount': 3651, 'credit_history': ""'existing paid'"", 'duration': 12, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': ""'new car'"", 'residence_since': 3, 'savings_status': ""'>=1000'""}",A 31-year-old male German Foreigner is applying for a loan of 3651 credits for 12 months for new car 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 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 life insurance property. He does not own a telephone and has 2 people that he is liable to provide maintenance for.
168,male,'>=200',4,'existing paid','new car',1494,'no known savings','<1',1,none,2,'real estate',29,none,own,1,'unskilled resident',2,none,no,good,"gender is male, checking_status is '>=200', duration is 4, credit_history is 'existing paid', purpose is 'new car', credit_amount is 1494, savings_status is 'no known savings', employment is '<1', installment_commitment is 1, other_parties is none, residence_since is 2, property_magnitude is 'real estate', 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 no","- gender : male
 - checking_status : '>=200'
 - duration : 4
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 1494
 - savings_status : 'no known savings'
 - employment : '<1'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 29
 - 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 '>=200'. The duration is 4. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 1494. 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 'real estate'. 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 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>4</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>1494</td>
      <td>'no known savings'</td>
      <td>'&lt;1'</td>
      <td>1</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>29</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 & '>=200' & 4 & 'existing paid' & 'new car' & 1494 & 'no known savings' & '<1' & 1 & none & 2 & 'real estate' & 29 & none & own & 1 & 'unskilled resident' & 2 & none & no \\
\end{tabular}
","{'age': 29, 'checking_status': ""'>=200'"", 'credit_amount': 1494, 'credit_history': ""'existing paid'"", 'duration': 4, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'no', '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': ""'no known savings'""}",A 29-year-old male German Citizen is applying for a loan of 1494 credits for 4 months for new car purposes. He has a checking account with 200 Deutsche Mark or more 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 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.
169,male,'0<=X<200',48,'existing paid',other,5381,'no known savings',unemployed,3,none,4,'no known property',40,bank,'for free',1,'unemp/unskilled non res',1,yes,yes,good,"gender is male, checking_status is '0<=X<200', duration is 48, credit_history is 'existing paid', purpose is other, credit_amount is 5381, savings_status is 'no known savings', employment is unemployed, installment_commitment is 3, other_parties is none, residence_since is 4, property_magnitude is 'no known property', age is 40, other_payment_plans is bank, housing is 'for free', 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 : 48
 - credit_history : 'existing paid'
 - purpose : other
 - credit_amount : 5381
 - savings_status : 'no known savings'
 - employment : unemployed
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 40
 - other_payment_plans : bank
 - housing : 'for free'
 - 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 48. The credit_history is 'existing paid'. The purpose is other. The credit_amount is 5381. The savings_status is 'no known savings'. 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 40. The other_payment_plans is bank. The housing is 'for free'. 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>48</td>
      <td>'existing paid'</td>
      <td>other</td>
      <td>5381</td>
      <td>'no known savings'</td>
      <td>unemployed</td>
      <td>3</td>
      <td>none</td>
      <td>4</td>
      <td>'no known property'</td>
      <td>40</td>
      <td>bank</td>
      <td>'for free'</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' & 48 & 'existing paid' & other & 5381 & 'no known savings' & unemployed & 3 & none & 4 & 'no known property' & 40 & bank & 'for free' & 1 & 'unemp/unskilled non res' & 1 & yes & yes \\
\end{tabular}
","{'age': 40, 'checking_status': ""'0<=X<200'"", 'credit_amount': 5381, 'credit_history': ""'existing paid'"", 'duration': 48, 'employment': 'unemployed', 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': ""'for free'"", 'installment_commitment': 3, 'job': ""'unemp/unskilled non res'"", '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': ""'no known savings'""}",A 40-year-old male German Foreigner is applying for a loan of 5381 credits for 48 months for other 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 3%. He has other installment plans with a bank 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 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,'>=200',12,'existing paid',radio/tv,3399,'no known savings','>=7',2,none,3,car,37,none,own,1,'high qualif/self emp/mgmt',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 3399, savings_status is 'no known savings', employment is '>=7', installment_commitment is 2, other_parties is none, residence_since is 3, 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 none, foreign_worker is yes","- gender : male
 - checking_status : '>=200'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 3399
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 3
 - 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 : 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 3399. 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 3. 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 none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</th>
      <th>job</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>3399</td>
      <td>'no known savings'</td>
      <td>'&gt;=7'</td>
      <td>2</td>
      <td>none</td>
      <td>3</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>none</td>
      <td>yes</td>
    </tr>
  </tbody>
</table>","\begin{tabular}{lllrllrllrlrlrllrlrll}
 & gender & checking_status & duration & credit_history & purpose & credit_amount & savings_status & employment & 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 & 3399 & 'no known savings' & '>=7' & 2 & none & 3 & car & 37 & none & own & 1 & 'high qualif/self emp/mgmt' & 1 & none & yes \\
\end{tabular}
","{'age': 37, 'checking_status': ""'>=200'"", 'credit_amount': 3399, 'credit_history': ""'existing paid'"", 'duration': 12, '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': 'none', '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 3399 credits for 12 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 credits received from this bank 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 3 years.  He owns a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
171,male,'<0',15,'critical/other existing credit',furniture/equipment,1478,'<100','>=7',4,none,4,car,44,none,own,2,skilled,2,yes,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 1478, 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 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 : '<0'
 - duration : 15
 - credit_history : 'critical/other existing credit'
 - purpose : furniture/equipment
 - credit_amount : 1478
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - 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 '<0'. The duration is 15. The credit_history is 'critical/other existing credit'. The purpose is furniture/equipment. The credit_amount is 1478. 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 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>'&lt;0'</td>
      <td>15</td>
      <td>'critical/other existing credit'</td>
      <td>furniture/equipment</td>
      <td>1478</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</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 & '<0' & 15 & 'critical/other existing credit' & furniture/equipment & 1478 & '<100' & '>=7' & 4 & none & 4 & car & 44 & none & own & 2 & skilled & 2 & yes & yes \\
\end{tabular}
","{'age': 44, 'checking_status': ""'<0'"", 'credit_amount': 1478, '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': 2, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'furniture/equipment', 'residence_since': 4, 'savings_status': ""'<100'""}",A 44-year-old male German Foreigner is applying for a loan of 1478 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 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 2 people that he is liable to provide maintenance for.
172,male,'0<=X<200',6,'delayed previously',business,1449,'100<=X<500','>=7',1,none,2,car,31,bank,own,2,skilled,2,none,yes,good,"gender is male, checking_status is '0<=X<200', duration is 6, credit_history is 'delayed previously', purpose is business, credit_amount is 1449, savings_status is '100<=X<500', employment is '>=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 2, 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 : 'delayed previously'
 - purpose : business
 - credit_amount : 1449
 - savings_status : '100<=X<500'
 - employment : '>=7'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 31
 - 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 6. The credit_history is 'delayed previously'. The purpose is business. The credit_amount is 1449. 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 2. 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 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>'delayed previously'</td>
      <td>business</td>
      <td>1449</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'&gt;=7'</td>
      <td>1</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>31</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' & 6 & 'delayed previously' & business & 1449 & '100<=X<500' & '>=7' & 1 & none & 2 & car & 31 & bank & own & 2 & skilled & 2 & none & yes \\
\end{tabular}
","{'age': 31, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1449, 'credit_history': ""'delayed previously'"", 'duration': 6, 'employment': ""'>=7'"", 'existing_credits': 2, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 2, 'other_parties': 'none', 'other_payment_plans': 'bank', 'own_telephone': 'none', '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 1449 credits for 6 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 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 does not own a telephone and has 2 people that he is liable to provide maintenance for.
173,male,'0<=X<200',24,'critical/other existing credit',radio/tv,1743,'<100','>=7',4,none,2,'life insurance',48,none,own,2,'unskilled resident',1,none,yes,good,"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 1743, 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 48, 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 : 24
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 1743
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 48
 - 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 24. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 1743. 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 48. 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>24</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>1743</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>48</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' & 24 & 'critical/other existing credit' & radio/tv & 1743 & '<100' & '>=7' & 4 & none & 2 & 'life insurance' & 48 & none & own & 2 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 48, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1743, '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': ""'life insurance'"", 'purpose': 'radio/tv', 'residence_since': 2, 'savings_status': ""'<100'""}",A 48-year-old male German Foreigner is applying for a loan of 1743 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 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 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.
174,male,'no checking',12,'existing paid',radio/tv,3077,'<100','1<=X<4',2,none,4,car,52,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 radio/tv, credit_amount is 3077, 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 52, 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 : radio/tv
 - credit_amount : 3077
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - property_magnitude : car
 - age : 52
 - 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 radio/tv. The credit_amount is 3077. 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 52. 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>radio/tv</td>
      <td>3077</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>52</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' & radio/tv & 3077 & '<100' & '1<=X<4' & 2 & none & 4 & car & 52 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 52, 'checking_status': ""'no checking'"", 'credit_amount': 3077, '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': 'car', 'purpose': 'radio/tv', 'residence_since': 4, 'savings_status': ""'<100'""}",A 52-year-old male German Foreigner is applying for a loan of 3077 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 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 owns a telephone and has 1 person that he is liable to provide maintenance for.
175,male,'no checking',6,'existing paid',furniture/equipment,1766,'<100','1<=X<4',1,none,2,'life insurance',21,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 furniture/equipment, credit_amount is 1766, 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 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 : 'no checking'
 - duration : 6
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 1766
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 2
 - 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 'no checking'. The duration is 6. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 1766. 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 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>'no checking'</td>
      <td>6</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>1766</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>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 & 'no checking' & 6 & 'existing paid' & furniture/equipment & 1766 & '<100' & '1<=X<4' & 1 & none & 2 & 'life insurance' & 21 & none & rent & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 21, 'checking_status': ""'no checking'"", 'credit_amount': 1766, 'credit_history': ""'existing paid'"", 'duration': 6, 'employment': ""'1<=X<4'"", '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': ""'life insurance'"", 'purpose': 'furniture/equipment', 'residence_since': 2, 'savings_status': ""'<100'""}",A 21-year-old male German Foreigner is applying for a loan of 1766 credits for 6 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 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.
176,male,'0<=X<200',9,'existing paid',furniture/equipment,2030,'no known savings','4<=X<7',2,none,1,car,24,none,own,1,skilled,1,yes,yes,good,"gender is male, checking_status is '0<=X<200', duration is 9, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 2030, savings_status is 'no known savings', 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<=X<200'
 - duration : 9
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 2030
 - savings_status : 'no known savings'
 - 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<=X<200'. The duration is 9. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 2030. 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 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>'0&lt;=X&lt;200'</td>
      <td>9</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>2030</td>
      <td>'no known savings'</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<=X<200' & 9 & 'existing paid' & furniture/equipment & 2030 & 'no known savings' & '4<=X<7' & 2 & none & 1 & car & 24 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 24, 'checking_status': ""'0<=X<200'"", 'credit_amount': 2030, 'credit_history': ""'existing 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': 'yes', 'property_magnitude': 'car', 'purpose': 'furniture/equipment', 'residence_since': 1, 'savings_status': ""'no known savings'""}",A 24-year-old male German Foreigner is applying for a loan of 2030 credits for 9 months for furniture or equipment 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 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.
177,female,'no checking',11,'critical/other existing credit',radio/tv,1154,'100<=X<500',unemployed,4,none,4,'real estate',57,none,own,3,'unskilled resident',1,none,yes,good,"gender is female, checking_status is 'no checking', duration is 11, credit_history is 'critical/other existing credit', purpose is radio/tv, credit_amount is 1154, savings_status is '100<=X<500', employment is unemployed, installment_commitment is 4, other_parties is none, residence_since is 4, property_magnitude is 'real estate', age is 57, 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 : female
 - checking_status : 'no checking'
 - duration : 11
 - credit_history : 'critical/other existing credit'
 - purpose : radio/tv
 - credit_amount : 1154
 - savings_status : '100<=X<500'
 - employment : unemployed
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 57
 - other_payment_plans : none
 - housing : own
 - 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 11. The credit_history is 'critical/other existing credit'. The purpose is radio/tv. The credit_amount is 1154. 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 4. The property_magnitude is 'real estate'. The age is 57. 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>female</td>
      <td>'no checking'</td>
      <td>11</td>
      <td>'critical/other existing credit'</td>
      <td>radio/tv</td>
      <td>1154</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>unemployed</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>57</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 & female & 'no checking' & 11 & 'critical/other existing credit' & radio/tv & 1154 & '100<=X<500' & unemployed & 4 & none & 4 & 'real estate' & 57 & none & own & 3 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 57, 'checking_status': ""'no checking'"", 'credit_amount': 1154, 'credit_history': ""'critical/other existing credit'"", 'duration': 11, 'employment': 'unemployed', 'existing_credits': 3, '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': 4, 'savings_status': ""'100<=X<500'""}",A 57-year-old female German Foreigner is applying for a loan of 1154 credits for 11 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 4%. She has no other installment plans and 3 credits at this bank. She is unemployed 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.
178,female,'<0',20,'critical/other existing credit',furniture/equipment,4272,'<100','>=7',1,none,4,'life insurance',24,none,own,2,skilled,1,none,yes,good,"gender is female, checking_status is '<0', duration is 20, credit_history is 'critical/other existing credit', purpose is furniture/equipment, credit_amount is 4272, 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 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 : female
 - checking_status : '<0'
 - duration : 20
 - credit_history : 'critical/other existing credit'
 - purpose : furniture/equipment
 - credit_amount : 4272
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 1
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'life insurance'
 - 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 female. The checking_status is '<0'. The duration is 20. The credit_history is 'critical/other existing credit'. The purpose is furniture/equipment. The credit_amount is 4272. 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 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>female</td>
      <td>'&lt;0'</td>
      <td>20</td>
      <td>'critical/other existing credit'</td>
      <td>furniture/equipment</td>
      <td>4272</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>1</td>
      <td>none</td>
      <td>4</td>
      <td>'life insurance'</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 & female & '<0' & 20 & 'critical/other existing credit' & furniture/equipment & 4272 & '<100' & '>=7' & 1 & none & 4 & 'life insurance' & 24 & none & own & 2 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 24, 'checking_status': ""'<0'"", 'credit_amount': 4272, 'credit_history': ""'critical/other existing credit'"", 'duration': 20, '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': '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 4272 credits for 20 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 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 life insurance property. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
179,male,'0<=X<200',72,'existing paid',radio/tv,5595,'100<=X<500','1<=X<4',2,none,2,car,24,none,own,1,skilled,1,none,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 72, credit_history is 'existing paid', purpose is radio/tv, credit_amount is 5595, 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 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 : 72
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 5595
 - savings_status : '100<=X<500'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - 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 '0<=X<200'. The duration is 72. The credit_history is 'existing paid'. The purpose is radio/tv. The credit_amount is 5595. 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 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>72</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>5595</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>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' & 72 & 'existing paid' & radio/tv & 5595 & '100<=X<500' & '1<=X<4' & 2 & none & 2 & car & 24 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 24, 'checking_status': ""'0<=X<200'"", 'credit_amount': 5595, 'credit_history': ""'existing paid'"", 'duration': 72, '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': 'radio/tv', 'residence_since': 2, 'savings_status': ""'100<=X<500'""}",A 24-year-old male German Foreigner is applying for a loan of 5595 credits for 72 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 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.
180,male,'<0',12,'critical/other existing credit','new car',2122,'<100','1<=X<4',3,none,2,'real estate',39,none,rent,2,'unskilled resident',2,none,no,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 2122, 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 39, 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 : 12
 - credit_history : 'critical/other existing credit'
 - purpose : 'new car'
 - credit_amount : 2122
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 39
 - 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 12. The credit_history is 'critical/other existing credit'. The purpose is 'new car'. The credit_amount is 2122. 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 39. 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>12</td>
      <td>'critical/other existing credit'</td>
      <td>'new car'</td>
      <td>2122</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>39</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' & 12 & 'critical/other existing credit' & 'new car' & 2122 & '<100' & '1<=X<4' & 3 & none & 2 & 'real estate' & 39 & none & rent & 2 & 'unskilled resident' & 2 & none & no \\
\end{tabular}
","{'age': 39, 'checking_status': ""'<0'"", 'credit_amount': 2122, 'credit_history': ""'critical/other existing credit'"", 'duration': 12, 'employment': ""'1<=X<4'"", 'existing_credits': 2, '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': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'<100'""}",A 39-year-old male German Citizen is applying for a loan of 2122 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 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 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 2 people that he is liable to provide maintenance for.
181,male,'no checking',24,'critical/other existing credit',business,4139,'100<=X<500','1<=X<4',3,none,3,'life insurance',27,none,own,2,'unskilled resident',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 4139, savings_status is '100<=X<500', employment is '1<=X<4', installment_commitment is 3, 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 'unskilled resident', 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 : 4139
 - savings_status : '100<=X<500'
 - employment : '1<=X<4'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 3
 - property_magnitude : 'life insurance'
 - age : 27
 - 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 'critical/other existing credit'. The purpose is business. The credit_amount is 4139. 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 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 '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>'critical/other existing credit'</td>
      <td>business</td>
      <td>4139</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>3</td>
      <td>none</td>
      <td>3</td>
      <td>'life insurance'</td>
      <td>27</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 & 'critical/other existing credit' & business & 4139 & '100<=X<500' & '1<=X<4' & 3 & none & 3 & 'life insurance' & 27 & none & own & 2 & 'unskilled resident' & 1 & yes & yes \\
\end{tabular}
","{'age': 27, 'checking_status': ""'no checking'"", 'credit_amount': 4139, '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': ""'unskilled resident'"", 'num_dependents': 1, '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 27-year-old male German Foreigner is applying for a loan of 4139 credits for 24 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 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 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 1 person that he is liable to provide maintenance for.
182,male,'no checking',7,'delayed previously',radio/tv,846,'no known savings','>=7',3,none,4,'no known property',36,none,'for free',1,skilled,1,none,yes,good,"gender is male, checking_status is 'no checking', duration is 7, credit_history is 'delayed previously', purpose is radio/tv, credit_amount is 846, 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 36, 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 : 'no checking'
 - duration : 7
 - credit_history : 'delayed previously'
 - purpose : radio/tv
 - credit_amount : 846
 - savings_status : 'no known savings'
 - employment : '>=7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 36
 - 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 'no checking'. The duration is 7. The credit_history is 'delayed previously'. The purpose is radio/tv. The credit_amount is 846. 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 36. 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>'no checking'</td>
      <td>7</td>
      <td>'delayed previously'</td>
      <td>radio/tv</td>
      <td>846</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>36</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 & 'no checking' & 7 & 'delayed previously' & radio/tv & 846 & 'no known savings' & '>=7' & 3 & none & 4 & 'no known property' & 36 & none & 'for free' & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 36, 'checking_status': ""'no checking'"", 'credit_amount': 846, 'credit_history': ""'delayed previously'"", 'duration': 7, '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': 'radio/tv', 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 36-year-old male German Foreigner is applying for a loan of 846 credits for 7 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 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.
183,female,'no checking',15,'critical/other existing credit',education,1532,'100<=X<500','1<=X<4',4,none,3,car,31,none,own,1,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 education, credit_amount is 1532, savings_status is '100<=X<500', employment is '1<=X<4', installment_commitment is 4, 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 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 : education
 - credit_amount : 1532
 - savings_status : '100<=X<500'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - 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 'no checking'. The duration is 15. The credit_history is 'critical/other existing credit'. The purpose is education. The credit_amount is 1532. 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 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 skilled. The num_dependents is 1. The own_telephone is none. The foreign_worker is yes,"<table border=""1"" class=""dataframe"">
  <thead>
    <tr style=""text-align: right;"">
      <th></th>
      <th>gender</th>
      <th>checking_status</th>
      <th>duration</th>
      <th>credit_history</th>
      <th>purpose</th>
      <th>credit_amount</th>
      <th>savings_status</th>
      <th>employment</th>
      <th>installment_commitment</th>
      <th>other_parties</th>
      <th>residence_since</th>
      <th>property_magnitude</th>
      <th>age</th>
      <th>other_payment_plans</th>
      <th>housing</th>
      <th>existing_credits</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>education</td>
      <td>1532</td>
      <td>'100&lt;=X&lt;500'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>4</td>
      <td>none</td>
      <td>3</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 & 'no checking' & 15 & 'critical/other existing credit' & education & 1532 & '100<=X<500' & '1<=X<4' & 4 & none & 3 & car & 31 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 31, 'checking_status': ""'no checking'"", 'credit_amount': 1532, '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': 'skilled', 'num_dependents': 1, 'other_parties': 'none', 'other_payment_plans': 'none', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'education', 'residence_since': 3, 'savings_status': ""'100<=X<500'""}",A 31-year-old female German Foreigner is applying for a loan of 1532 credits for 15 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 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 a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
184,male,'0<=X<200',21,'existing paid',furniture/equipment,3976,'no known savings','4<=X<7',2,none,3,car,35,none,own,1,skilled,1,yes,yes,good,"gender is male, checking_status is '0<=X<200', duration is 21, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 3976, savings_status is 'no known savings', employment is '4<=X<7', installment_commitment is 2, 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 1, job is skilled, num_dependents is 1, own_telephone is yes, foreign_worker is yes","- gender : male
 - checking_status : '0<=X<200'
 - duration : 21
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 3976
 - savings_status : 'no known savings'
 - employment : '4<=X<7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 3
 - 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 '0<=X<200'. The duration is 21. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 3976. 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 3. 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>'0&lt;=X&lt;200'</td>
      <td>21</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>3976</td>
      <td>'no known savings'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>2</td>
      <td>none</td>
      <td>3</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 & '0<=X<200' & 21 & 'existing paid' & furniture/equipment & 3976 & 'no known savings' & '4<=X<7' & 2 & none & 3 & car & 35 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 35, 'checking_status': ""'0<=X<200'"", 'credit_amount': 3976, 'credit_history': ""'existing paid'"", 'duration': 21, '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': 'furniture/equipment', 'residence_since': 3, 'savings_status': ""'no known savings'""}",A 35-year-old male German Foreigner is applying for a loan of 3976 credits for 21 months for furniture or equipment 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 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.
185,male,'0<=X<200',12,'existing paid',radio/tv,766,'500<=X<1000','1<=X<4',4,none,3,'real estate',66,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 radio/tv, credit_amount is 766, 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 : male
 - checking_status : '0<=X<200'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : radio/tv
 - credit_amount : 766
 - 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 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 766. 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>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>radio/tv</td>
      <td>766</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 & male & '0<=X<200' & 12 & 'existing paid' & radio/tv & 766 & '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': 766, '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': 3, 'savings_status': ""'500<=X<1000'""}",A 66-year-old male German Foreigner is applying for a loan of 766 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 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.
186,male,'0<=X<200',24,'existing paid','new car',1246,'<100','<1',4,none,2,'real estate',23,stores,own,1,'unskilled resident',1,none,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 24, credit_history is 'existing paid', purpose is 'new car', credit_amount is 1246, 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 23, 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 : male
 - checking_status : '0<=X<200'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 1246
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'real estate'
 - age : 23
 - other_payment_plans : stores
 - 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 'existing paid'. The purpose is 'new car'. The credit_amount is 1246. 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 23. 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>male</td>
      <td>'0&lt;=X&lt;200'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>1246</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>'real estate'</td>
      <td>23</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 & male & '0<=X<200' & 24 & 'existing paid' & 'new car' & 1246 & '<100' & '<1' & 4 & none & 2 & 'real estate' & 23 & stores & own & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 23, 'checking_status': ""'0<=X<200'"", 'credit_amount': 1246, 'credit_history': ""'existing paid'"", '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': 'stores', 'own_telephone': 'none', 'property_magnitude': ""'real estate'"", 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'<100'""}",A 23-year-old male German Foreigner is applying for a loan of 1246 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 other installment plans with a store 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 1 person that he is liable to provide maintenance for.
187,male,'no checking',12,'existing paid',business,1542,'<100','4<=X<7',2,none,4,car,36,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 business, credit_amount is 1542, 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 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 : 'no checking'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : business
 - credit_amount : 1542
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 4
 - 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 'no checking'. The duration is 12. The credit_history is 'existing paid'. The purpose is business. The credit_amount is 1542. 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 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>'no checking'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>business</td>
      <td>1542</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>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 & 'no checking' & 12 & 'existing paid' & business & 1542 & '<100' & '4<=X<7' & 2 & none & 4 & car & 36 & none & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 36, 'checking_status': ""'no checking'"", 'credit_amount': 1542, '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': 'yes', 'property_magnitude': 'car', 'purpose': 'business', 'residence_since': 4, 'savings_status': ""'<100'""}",A 36-year-old male German Foreigner is applying for a loan of 1542 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 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.
188,male,'no checking',24,'existing paid',furniture/equipment,929,'no known savings','4<=X<7',4,none,2,car,31,stores,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 furniture/equipment, credit_amount is 929, 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 car, age is 31, 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 : 24
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 929
 - savings_status : 'no known savings'
 - employment : '4<=X<7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 31
 - 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 24. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 929. 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 car. The age is 31. 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>24</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>929</td>
      <td>'no known savings'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>4</td>
      <td>none</td>
      <td>2</td>
      <td>car</td>
      <td>31</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' & 24 & 'existing paid' & furniture/equipment & 929 & 'no known savings' & '4<=X<7' & 4 & none & 2 & car & 31 & stores & own & 1 & skilled & 1 & yes & yes \\
\end{tabular}
","{'age': 31, 'checking_status': ""'no checking'"", 'credit_amount': 929, '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': 'stores', 'own_telephone': 'yes', 'property_magnitude': 'car', 'purpose': 'furniture/equipment', 'residence_since': 2, 'savings_status': ""'no known savings'""}",A 31-year-old male German Foreigner is applying for a loan of 929 credits for 24 months for furniture or equipment 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 2 years.  He owns a car. He owns a telephone and has 1 person that he is liable to provide maintenance for.
189,male,'no checking',15,'existing paid','used car',3029,'<100','4<=X<7',2,none,2,car,33,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 'used car', credit_amount is 3029, savings_status is '<100', employment is '4<=X<7', installment_commitment is 2, 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 : 'no checking'
 - duration : 15
 - credit_history : 'existing paid'
 - purpose : 'used car'
 - credit_amount : 3029
 - savings_status : '<100'
 - employment : '4<=X<7'
 - installment_commitment : 2
 - 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 'no checking'. The duration is 15. The credit_history is 'existing paid'. The purpose is 'used car'. The credit_amount is 3029. 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 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>'no checking'</td>
      <td>15</td>
      <td>'existing paid'</td>
      <td>'used car'</td>
      <td>3029</td>
      <td>'&lt;100'</td>
      <td>'4&lt;=X&lt;7'</td>
      <td>2</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 & 'no checking' & 15 & 'existing paid' & 'used car' & 3029 & '<100' & '4<=X<7' & 2 & none & 2 & car & 33 & none & own & 1 & skilled & 1 & none & yes \\
\end{tabular}
","{'age': 33, 'checking_status': ""'no checking'"", 'credit_amount': 3029, 'credit_history': ""'existing paid'"", 'duration': 15, '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': ""'used car'"", 'residence_since': 2, 'savings_status': ""'<100'""}",A 33-year-old male German Foreigner is applying for a loan of 3029 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 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 a car. He does not own a telephone and has 1 person that he is liable to provide maintenance for.
190,male,'no checking',18,'existing paid',furniture/equipment,1533,'<100','<1',4,'co applicant',1,'life insurance',43,none,own,1,'unskilled resident',2,none,yes,bad,"gender is male, checking_status is 'no checking', duration is 18, credit_history is 'existing paid', purpose is furniture/equipment, credit_amount is 1533, 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 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 : 18
 - credit_history : 'existing paid'
 - purpose : furniture/equipment
 - credit_amount : 1533
 - savings_status : '<100'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : 'co applicant'
 - residence_since : 1
 - 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 18. The credit_history is 'existing paid'. The purpose is furniture/equipment. The credit_amount is 1533. 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 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>18</td>
      <td>'existing paid'</td>
      <td>furniture/equipment</td>
      <td>1533</td>
      <td>'&lt;100'</td>
      <td>'&lt;1'</td>
      <td>4</td>
      <td>'co applicant'</td>
      <td>1</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' & 18 & 'existing paid' & furniture/equipment & 1533 & '<100' & '<1' & 4 & 'co applicant' & 1 & 'life insurance' & 43 & none & own & 1 & 'unskilled resident' & 2 & none & yes \\
\end{tabular}
","{'age': 43, 'checking_status': ""'no checking'"", 'credit_amount': 1533, 'credit_history': ""'existing paid'"", 'duration': 18, 'employment': ""'<1'"", 'existing_credits': 1, 'foreign_worker': 'yes', 'gender': 'male', 'housing': 'own', 'installment_commitment': 4, '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': 1, 'savings_status': ""'<100'""}",A 43-year-old male German Foreigner is applying for a loan of 1533 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 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 2 people that he is liable to provide maintenance for.
191,male,'0<=X<200',48,'delayed previously',business,6681,'no known savings','1<=X<4',4,none,4,'no known property',38,none,'for free',1,skilled,2,yes,yes,good,"gender is male, checking_status is '0<=X<200', duration is 48, credit_history is 'delayed previously', purpose is business, credit_amount is 6681, 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 38, 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 : 48
 - credit_history : 'delayed previously'
 - purpose : business
 - credit_amount : 6681
 - savings_status : 'no known savings'
 - employment : '1<=X<4'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'no known property'
 - age : 38
 - 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 48. The credit_history is 'delayed previously'. The purpose is business. The credit_amount is 6681. 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 38. 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>48</td>
      <td>'delayed previously'</td>
      <td>business</td>
      <td>6681</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>38</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' & 48 & 'delayed previously' & business & 6681 & 'no known savings' & '1<=X<4' & 4 & none & 4 & 'no known property' & 38 & none & 'for free' & 1 & skilled & 2 & yes & yes \\
\end{tabular}
","{'age': 38, 'checking_status': ""'0<=X<200'"", 'credit_amount': 6681, 'credit_history': ""'delayed previously'"", 'duration': 48, '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': 'business', 'residence_since': 4, 'savings_status': ""'no known savings'""}",A 38-year-old male German Foreigner is applying for a loan of 6681 credits for 48 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 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.
192,male,'0<=X<200',12,'existing paid','new car',888,'<100','>=7',4,none,4,car,41,bank,own,1,'unskilled resident',2,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 888, 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 : '0<=X<200'
 - duration : 12
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 888
 - 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 '0<=X<200'. The duration is 12. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 888. 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>'0&lt;=X&lt;200'</td>
      <td>12</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>888</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 & '0<=X<200' & 12 & 'existing paid' & 'new car' & 888 & '<100' & '>=7' & 4 & none & 4 & car & 41 & bank & own & 1 & 'unskilled resident' & 2 & none & yes \\
\end{tabular}
","{'age': 41, 'checking_status': ""'0<=X<200'"", 'credit_amount': 888, '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': ""'new car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 41-year-old male German Foreigner is applying for a loan of 888 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 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.
193,male,'0<=X<200',18,'delayed previously',furniture/equipment,4297,'<100','>=7',4,none,3,'no known property',40,none,own,1,'high qualif/self emp/mgmt',1,yes,yes,bad,"gender is male, checking_status is '0<=X<200', duration is 18, credit_history is 'delayed previously', purpose is furniture/equipment, credit_amount is 4297, 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 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<=X<200'
 - duration : 18
 - credit_history : 'delayed previously'
 - purpose : furniture/equipment
 - credit_amount : 4297
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 3
 - 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<=X<200'. The duration is 18. The credit_history is 'delayed previously'. The purpose is furniture/equipment. The credit_amount is 4297. 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 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>'0&lt;=X&lt;200'</td>
      <td>18</td>
      <td>'delayed previously'</td>
      <td>furniture/equipment</td>
      <td>4297</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>3</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<=X<200' & 18 & 'delayed previously' & furniture/equipment & 4297 & '<100' & '>=7' & 4 & none & 3 & 'no known property' & 40 & none & own & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 40, 'checking_status': ""'0<=X<200'"", 'credit_amount': 4297, 'credit_history': ""'delayed previously'"", 'duration': 18, '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': 'furniture/equipment', 'residence_since': 3, 'savings_status': ""'<100'""}",A 40-year-old male German Foreigner is applying for a loan of 4297 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 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 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 1 person that he is liable to provide maintenance for.
194,male,'>=200',30,'delayed previously',business,1908,'<100','>=7',4,none,4,'real estate',66,none,own,1,'high qualif/self emp/mgmt',1,yes,yes,bad,"gender is male, checking_status is '>=200', duration is 30, credit_history is 'delayed previously', purpose is business, credit_amount is 1908, 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 66, 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 : '>=200'
 - duration : 30
 - credit_history : 'delayed previously'
 - purpose : business
 - credit_amount : 1908
 - savings_status : '<100'
 - employment : '>=7'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 4
 - property_magnitude : 'real estate'
 - age : 66
 - 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 '>=200'. The duration is 30. The credit_history is 'delayed previously'. The purpose is business. The credit_amount is 1908. 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 66. 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>'&gt;=200'</td>
      <td>30</td>
      <td>'delayed previously'</td>
      <td>business</td>
      <td>1908</td>
      <td>'&lt;100'</td>
      <td>'&gt;=7'</td>
      <td>4</td>
      <td>none</td>
      <td>4</td>
      <td>'real estate'</td>
      <td>66</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 & '>=200' & 30 & 'delayed previously' & business & 1908 & '<100' & '>=7' & 4 & none & 4 & 'real estate' & 66 & none & own & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 66, 'checking_status': ""'>=200'"", 'credit_amount': 1908, 'credit_history': ""'delayed previously'"", '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': 'none', 'own_telephone': 'yes', 'property_magnitude': ""'real estate'"", 'purpose': 'business', 'residence_since': 4, 'savings_status': ""'<100'""}",A 66-year-old male German Foreigner is applying for a loan of 1908 credits for 30 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 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 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.
195,male,'no checking',24,'existing paid',radio/tv,3235,'500<=X<1000','>=7',3,none,2,car,26,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 3235, 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 26, 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 : 3235
 - savings_status : '500<=X<1000'
 - employment : '>=7'
 - installment_commitment : 3
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 26
 - 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 3235. 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 26. 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>3235</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>26</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 & 3235 & '500<=X<1000' & '>=7' & 3 & none & 2 & car & 26 & none & own & 1 & 'high qualif/self emp/mgmt' & 1 & yes & yes \\
\end{tabular}
","{'age': 26, 'checking_status': ""'no checking'"", 'credit_amount': 3235, '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': 1, '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 26-year-old male German Foreigner is applying for a loan of 3235 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 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.
196,female,'0<=X<200',60,'existing paid','new car',7408,'100<=X<500','<1',4,none,2,'life insurance',24,none,own,1,'high qualif/self emp/mgmt',1,none,yes,bad,"gender is female, checking_status is '0<=X<200', duration is 60, credit_history is 'existing paid', purpose is 'new car', credit_amount is 7408, 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 24, 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 : '0<=X<200'
 - duration : 60
 - credit_history : 'existing paid'
 - purpose : 'new car'
 - credit_amount : 7408
 - savings_status : '100<=X<500'
 - employment : '<1'
 - installment_commitment : 4
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 24
 - 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 '0<=X<200'. The duration is 60. The credit_history is 'existing paid'. The purpose is 'new car'. The credit_amount is 7408. 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 24. 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>'0&lt;=X&lt;200'</td>
      <td>60</td>
      <td>'existing paid'</td>
      <td>'new car'</td>
      <td>7408</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>24</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 & '0<=X<200' & 60 & 'existing paid' & 'new car' & 7408 & '100<=X<500' & '<1' & 4 & none & 2 & 'life insurance' & 24 & none & own & 1 & 'high qualif/self emp/mgmt' & 1 & none & yes \\
\end{tabular}
","{'age': 24, 'checking_status': ""'0<=X<200'"", 'credit_amount': 7408, 'credit_history': ""'existing paid'"", 'duration': 60, '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': 'none', 'property_magnitude': ""'life insurance'"", 'purpose': ""'new car'"", 'residence_since': 2, 'savings_status': ""'100<=X<500'""}",A 24-year-old female German Foreigner is applying for a loan of 7408 credits for 60 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 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 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.
197,male,'<0',24,'existing paid',business,6568,'<100','1<=X<4',2,none,2,car,21,stores,own,1,'unskilled resident',1,none,yes,good,"gender is male, checking_status is '<0', duration is 24, credit_history is 'existing paid', purpose is business, credit_amount is 6568, 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 21, 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 : male
 - checking_status : '<0'
 - duration : 24
 - credit_history : 'existing paid'
 - purpose : business
 - credit_amount : 6568
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 2
 - property_magnitude : car
 - age : 21
 - other_payment_plans : stores
 - 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 24. The credit_history is 'existing paid'. The purpose is business. The credit_amount is 6568. 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 21. 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>male</td>
      <td>'&lt;0'</td>
      <td>24</td>
      <td>'existing paid'</td>
      <td>business</td>
      <td>6568</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>21</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 & male & '<0' & 24 & 'existing paid' & business & 6568 & '<100' & '1<=X<4' & 2 & none & 2 & car & 21 & stores & own & 1 & 'unskilled resident' & 1 & none & yes \\
\end{tabular}
","{'age': 21, 'checking_status': ""'<0'"", 'credit_amount': 6568, 'credit_history': ""'existing paid'"", 'duration': 24, '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': 'stores', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': 'business', 'residence_since': 2, 'savings_status': ""'<100'""}",A 21-year-old male German Foreigner is applying for a loan of 6568 credits for 24 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 duly paid back credits received from this bank 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 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.
198,female,'<0',24,'all paid','used car',3632,'<100','1<=X<4',1,guarantor,4,car,22,bank,rent,1,skilled,1,none,no,good,"gender is female, checking_status is '<0', duration is 24, credit_history is 'all paid', purpose is 'used car', credit_amount is 3632, savings_status is '<100', employment is '1<=X<4', installment_commitment is 1, other_parties is guarantor, residence_since is 4, property_magnitude is car, age is 22, 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 no","- gender : female
 - checking_status : '<0'
 - duration : 24
 - credit_history : 'all paid'
 - purpose : 'used car'
 - credit_amount : 3632
 - savings_status : '<100'
 - employment : '1<=X<4'
 - installment_commitment : 1
 - other_parties : guarantor
 - residence_since : 4
 - property_magnitude : car
 - age : 22
 - other_payment_plans : bank
 - housing : rent
 - existing_credits : 1
 - job : skilled
 - num_dependents : 1
 - own_telephone : none
 - foreign_worker : no",The gender is female. The checking_status is '<0'. The duration is 24. The credit_history is 'all paid'. The purpose is 'used car'. The credit_amount is 3632. 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 4. The property_magnitude is car. The age is 22. 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 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>'all paid'</td>
      <td>'used car'</td>
      <td>3632</td>
      <td>'&lt;100'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>1</td>
      <td>guarantor</td>
      <td>4</td>
      <td>car</td>
      <td>22</td>
      <td>bank</td>
      <td>rent</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 & '<0' & 24 & 'all paid' & 'used car' & 3632 & '<100' & '1<=X<4' & 1 & guarantor & 4 & car & 22 & bank & rent & 1 & skilled & 1 & none & no \\
\end{tabular}
","{'age': 22, 'checking_status': ""'<0'"", 'credit_amount': 3632, 'credit_history': ""'all paid'"", 'duration': 24, 'employment': ""'1<=X<4'"", 'existing_credits': 1, 'foreign_worker': 'no', 'gender': 'female', 'housing': 'rent', 'installment_commitment': 1, 'job': 'skilled', 'num_dependents': 1, 'other_parties': 'guarantor', 'other_payment_plans': 'bank', 'own_telephone': 'none', 'property_magnitude': 'car', 'purpose': ""'used car'"", 'residence_since': 4, 'savings_status': ""'<100'""}",A 22-year-old female German Citizen is applying for a loan of 3632 credits for 24 months for used 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 is a guarantor 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 a car. She does not own a telephone and has 1 person that she is liable to provide maintenance for.
199,male,'no checking',54,'no credits/all paid','used car',9436,'no known savings','1<=X<4',2,none,2,'life insurance',39,none,own,1,'unskilled resident',2,none,yes,good,"gender is male, checking_status is 'no checking', duration is 54, credit_history is 'no credits/all paid', purpose is 'used car', credit_amount is 9436, 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 'life insurance', age is 39, 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 : 54
 - credit_history : 'no credits/all paid'
 - purpose : 'used car'
 - credit_amount : 9436
 - savings_status : 'no known savings'
 - employment : '1<=X<4'
 - installment_commitment : 2
 - other_parties : none
 - residence_since : 2
 - property_magnitude : 'life insurance'
 - age : 39
 - 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 54. The credit_history is 'no credits/all paid'. The purpose is 'used car'. The credit_amount is 9436. 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 'life insurance'. 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 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>54</td>
      <td>'no credits/all paid'</td>
      <td>'used car'</td>
      <td>9436</td>
      <td>'no known savings'</td>
      <td>'1&lt;=X&lt;4'</td>
      <td>2</td>
      <td>none</td>
      <td>2</td>
      <td>'life insurance'</td>
      <td>39</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' & 54 & 'no credits/all paid' & 'used car' & 9436 & 'no known savings' & '1<=X<4' & 2 & none & 2 & 'life insurance' & 39 & none & own & 1 & 'unskilled resident' & 2 & none & yes \\
\end{tabular}
","{'age': 39, 'checking_status': ""'no checking'"", 'credit_amount': 9436, 'credit_history': ""'no credits/all paid'"", 'duration': 54, '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': ""'life insurance'"", 'purpose': ""'used car'"", 'residence_since': 2, 'savings_status': ""'no known savings'""}",A 39-year-old male German Foreigner is applying for a loan of 9436 credits for 54 months for used car purposes. He has no checking account 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 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.