feature_1
bool
2 classes
feature_2
float64
13.8
80.3
feature_3
float64
0
28
feature_4
stringclasses
3 values
feature_5
stringclasses
14 values
feature_6
stringclasses
8 values
feature_7
float64
0
28.5
feature_8
stringclasses
2 values
feature_9
stringclasses
2 values
feature_10
float64
0
67
feature_11
stringclasses
2 values
feature_12
stringclasses
3 values
feature_13
float64
0
2k
feature_14
float64
1
100k
is_granted
class label
2 classes
true
22.08
11.46
2.0
4.0
4.0
1.585
0.0
0.0
0
1.0
2.0
100
1,213
0no
false
22.67
7
2.0
8.0
4.0
0.165
0.0
0.0
0
0.0
2.0
160
1
0no
false
29.58
1.75
1.0
4.0
4.0
1.25
0.0
0.0
0
1.0
2.0
280
1
0no
false
21.67
11.5
1.0
5.0
3.0
0
1.0
1.0
11
1.0
2.0
0
1
1yes
true
20.17
8.17
2.0
6.0
4.0
1.96
1.0
1.0
14
0.0
2.0
60
159
1yes
false
15.83
0.585
2.0
8.0
8.0
1.5
1.0
1.0
2
0.0
2.0
100
1
1yes
true
17.42
6.5
2.0
3.0
4.0
0.125
0.0
0.0
0
0.0
2.0
60
101
0no
false
58.67
4.46
2.0
11.0
8.0
3.04
1.0
1.0
6
0.0
2.0
43
561
1yes
true
27.83
1
1.0
2.0
8.0
3
0.0
0.0
0
0.0
2.0
176
538
0no
false
55.75
7.08
2.0
4.0
8.0
6.75
1.0
1.0
3
1.0
2.0
100
51
0no
true
33.5
1.75
2.0
14.0
8.0
4.5
1.0
1.0
4
1.0
2.0
253
858
1yes
true
41.42
5
2.0
11.0
8.0
5
1.0
1.0
6
1.0
2.0
470
1
1yes
true
20.67
1.25
1.0
8.0
8.0
1.375
1.0
1.0
3
1.0
2.0
140
211
0no
true
34.92
5
2.0
14.0
8.0
7.5
1.0
1.0
6
1.0
2.0
0
1,001
1yes
true
58.58
2.71
2.0
8.0
4.0
2.415
0.0
0.0
0
1.0
2.0
320
1
0no
true
48.08
6.04
2.0
4.0
4.0
0.04
0.0
0.0
0
0.0
2.0
0
2,691
1yes
true
29.58
4.5
2.0
9.0
4.0
7.5
1.0
1.0
2
1.0
2.0
330
1
1yes
false
18.92
9
2.0
6.0
4.0
0.75
1.0
1.0
2
0.0
2.0
88
592
1yes
true
20
1.25
1.0
4.0
4.0
0.125
0.0
0.0
0
0.0
2.0
140
5
0no
false
22.42
5.665
2.0
11.0
4.0
2.585
1.0
1.0
7
0.0
2.0
129
3,258
1yes
false
28.17
0.585
2.0
6.0
4.0
0.04
0.0
0.0
0
0.0
2.0
260
1,005
0no
false
19.17
0.585
1.0
6.0
4.0
0.585
1.0
0.0
0
1.0
2.0
160
1
0no
true
41.17
1.335
2.0
2.0
4.0
0.165
0.0
0.0
0
0.0
2.0
168
1
0no
true
41.58
1.75
2.0
4.0
4.0
0.21
1.0
0.0
0
0.0
2.0
160
1
0no
true
19.5
9.585
2.0
6.0
4.0
0.79
0.0
0.0
0
0.0
2.0
80
351
0no
true
32.75
1.5
2.0
13.0
8.0
5.5
1.0
1.0
3
1.0
2.0
0
1
1yes
true
22.5
0.125
1.0
4.0
4.0
0.125
0.0
0.0
0
0.0
2.0
200
71
0no
true
33.17
3.04
1.0
8.0
8.0
2.04
1.0
1.0
1
1.0
2.0
180
18,028
1yes
false
30.67
12
2.0
8.0
4.0
2
1.0
1.0
1
0.0
2.0
220
20
1yes
true
23.08
2.5
2.0
8.0
4.0
1.085
1.0
1.0
11
1.0
2.0
60
2,185
1yes
true
27
0.75
2.0
8.0
8.0
4.25
1.0
1.0
3
1.0
2.0
312
151
1yes
false
20.42
10.5
1.0
14.0
8.0
0
0.0
0.0
0
1.0
2.0
154
33
0no
true
52.33
1.375
1.0
8.0
8.0
9.46
1.0
0.0
0
1.0
2.0
200
101
0no
true
23.08
11.5
2.0
9.0
8.0
2.125
1.0
1.0
11
1.0
2.0
290
285
1yes
true
42.83
1.25
2.0
7.0
4.0
13.875
0.0
1.0
1
1.0
2.0
352
113
0no
true
74.83
19
1.0
1.0
1.0
0.04
0.0
1.0
2
0.0
2.0
0
352
0no
true
25
12.5
2.0
6.0
4.0
3
1.0
0.0
0
1.0
1.0
20
1
1yes
true
39.58
13.915
2.0
9.0
4.0
8.625
1.0
1.0
6
1.0
2.0
70
1
1yes
false
47.75
8
2.0
8.0
4.0
7.875
1.0
1.0
6
1.0
2.0
0
1,261
1yes
false
47.42
3
2.0
14.0
4.0
13.875
1.0
1.0
2
1.0
2.0
519
1,705
1yes
true
23.17
0
2.0
13.0
4.0
0.085
1.0
0.0
0
0.0
2.0
0
1
1yes
true
22.58
1.5
1.0
6.0
4.0
0.54
0.0
0.0
0
1.0
2.0
120
68
0no
true
26.75
1.125
2.0
14.0
8.0
1.25
1.0
0.0
0
0.0
2.0
0
5,299
1yes
true
63.33
0.54
2.0
8.0
4.0
0.585
1.0
1.0
3
1.0
2.0
180
1
0no
true
23.75
0.415
1.0
8.0
4.0
0.04
0.0
1.0
2
0.0
2.0
128
7
0no
false
20.75
10.25
2.0
11.0
4.0
0.71
1.0
1.0
2
1.0
2.0
49
1
1yes
false
24.5
1.75
1.0
8.0
4.0
0.165
0.0
0.0
0
0.0
2.0
132
1
0no
true
16.17
0.04
2.0
8.0
4.0
0.04
0.0
0.0
0
0.0
2.0
0
1
1yes
false
29.5
2
1.0
10.0
8.0
2
0.0
0.0
0
0.0
2.0
256
18
0no
false
52.83
15
2.0
8.0
4.0
5.5
1.0
1.0
14
0.0
2.0
0
2,201
1yes
true
32.33
3.5
2.0
4.0
4.0
0.5
0.0
0.0
0
1.0
2.0
232
1
0no
true
21.08
4.125
1.0
3.0
8.0
0.04
0.0
0.0
0
0.0
2.0
140
101
0no
true
28.17
0.125
1.0
4.0
4.0
0.085
0.0
0.0
0
0.0
2.0
216
2,101
0no
true
19
1.75
1.0
8.0
4.0
2.335
0.0
0.0
0
1.0
2.0
112
7
0no
true
27.58
3.25
1.0
11.0
8.0
5.085
0.0
1.0
2
1.0
2.0
369
2
0no
true
27.83
1.5
2.0
9.0
4.0
2
1.0
1.0
11
1.0
2.0
434
36
1yes
true
40
6.5
2.0
6.0
5.0
3.5
1.0
1.0
1
0.0
2.0
0
501
1yes
false
37.33
2.5
2.0
3.0
8.0
0.21
0.0
0.0
0
0.0
2.0
260
247
0no
true
42.5
4.915
1.0
9.0
4.0
3.165
1.0
0.0
0
1.0
2.0
52
1,443
1yes
true
56.75
12.25
2.0
7.0
4.0
1.25
1.0
1.0
4
1.0
2.0
200
1
1yes
true
43.17
5
2.0
3.0
5.0
2.25
0.0
0.0
0
1.0
2.0
141
1
0no
false
23.75
0.71
2.0
9.0
4.0
0.25
0.0
1.0
1
1.0
2.0
240
5
0no
true
18.5
2
2.0
3.0
4.0
1.5
1.0
1.0
2
0.0
2.0
120
301
1yes
false
40.83
3.5
2.0
3.0
5.0
0.5
0.0
0.0
0
0.0
1.0
1,160
1
0no
false
24.5
0.5
2.0
11.0
8.0
1.5
1.0
0.0
0
0.0
2.0
280
825
1yes
true
42
9.79
2.0
14.0
8.0
7.96
1.0
1.0
8
0.0
2.0
0
1
1yes
false
19.5
0.165
2.0
11.0
4.0
0.04
0.0
0.0
0
1.0
2.0
380
1
0no
true
21.5
11.5
2.0
3.0
4.0
0.5
1.0
0.0
0
1.0
2.0
100
69
0no
true
31.25
2.835
2.0
1.0
1.0
0
0.0
1.0
5
0.0
2.0
176
147
0no
true
27.25
1.585
2.0
13.0
8.0
1.835
1.0
1.0
12
1.0
2.0
583
714
1yes
true
48.75
26.335
1.0
1.0
1.0
0
1.0
0.0
0
1.0
2.0
0
1
0no
false
30.42
1.375
2.0
9.0
8.0
0.04
0.0
1.0
3
0.0
2.0
0
34
0no
true
29.42
1.25
2.0
9.0
4.0
1.75
0.0
0.0
0
0.0
2.0
200
1
0no
true
28.25
5.04
1.0
8.0
5.0
1.5
1.0
1.0
8
1.0
2.0
144
8
1yes
true
40.25
21.5
2.0
10.0
9.0
20
1.0
1.0
11
0.0
2.0
0
1,201
1yes
true
36.5
4.25
2.0
11.0
4.0
3.5
0.0
0.0
0
0.0
2.0
454
51
0no
true
25.58
0.335
2.0
4.0
8.0
3.5
0.0
0.0
0
1.0
2.0
340
1
0no
true
29.83
3.5
2.0
8.0
4.0
0.165
0.0
0.0
0
0.0
2.0
216
1
0no
true
23.08
0
2.0
4.0
4.0
1
0.0
1.0
11
0.0
1.0
0
1
0no
false
32.17
1.46
2.0
9.0
4.0
1.085
1.0
1.0
16
0.0
2.0
120
2,080
1yes
true
25.17
3.5
2.0
13.0
4.0
0.625
1.0
1.0
7
0.0
2.0
0
7,060
1yes
false
35.17
3.75
2.0
1.0
1.0
0
0.0
1.0
6
0.0
2.0
0
201
0no
false
18.58
10
2.0
2.0
4.0
0.415
0.0
0.0
0
0.0
2.0
80
43
0no
true
39.92
5
2.0
3.0
5.0
0.21
0.0
0.0
0
0.0
2.0
550
1
0no
true
23.42
1
2.0
8.0
4.0
0.5
0.0
0.0
0
1.0
1.0
280
1
0no
true
37.58
0
2.0
8.0
4.0
0
0.0
0.0
0
0.0
3.0
184
1
1yes
false
24.75
13.665
2.0
11.0
8.0
1.5
0.0
0.0
0
0.0
2.0
280
2
0no
false
47
13
2.0
3.0
5.0
5.165
1.0
1.0
9
1.0
2.0
0
1
1yes
true
34.17
5.25
2.0
9.0
4.0
0.085
0.0
0.0
0
1.0
2.0
290
7
1yes
true
22.17
0.585
1.0
1.0
1.0
0
0.0
0.0
0
0.0
2.0
100
1
0no
true
27.75
1.29
2.0
4.0
8.0
0.25
0.0
0.0
0
1.0
1.0
140
1
0no
true
42.75
4.085
2.0
6.0
4.0
0.04
0.0
0.0
0
0.0
2.0
108
101
0no
true
28.67
14.5
2.0
2.0
4.0
0.125
0.0
0.0
0
0.0
2.0
0
287
0no
true
36.25
5
2.0
8.0
5.0
2.5
1.0
1.0
6
0.0
2.0
0
368
1yes
false
18.17
10
1.0
11.0
8.0
0.165
0.0
0.0
0
0.0
2.0
340
1
0no
true
21.25
1.5
2.0
9.0
4.0
1.5
0.0
0.0
0
0.0
2.0
150
9
1yes
false
38.92
1.665
2.0
6.0
4.0
0.25
0.0
0.0
0
0.0
2.0
0
391
0no
true
31.83
0.04
1.0
7.0
4.0
0.04
0.0
0.0
0
0.0
2.0
0
1
0no
false
17.33
9.5
2.0
6.0
4.0
1.75
0.0
1.0
10
1.0
2.0
0
11
0no
false
20.42
0.835
2.0
11.0
4.0
1.585
1.0
1.0
1
0.0
2.0
0
1
1yes
YAML Metadata Error: "configs[0]" must be of type object

Australian Credit

The Australian Credit from the UCI ML repository. Classification of loan approval.

Configurations and tasks

Configuration Task Description
australian_credit Binary classification Is the loan granted?

Usage

from datasets import load_dataset

dataset = load_dataset("mstz/australian_credit")["train"]

Features

Target feature changes according to the selected configuration and is always in last position in the dataset.

Downloads last month
55
Edit dataset card