saifhmb commited on
Commit
2781e82
·
verified ·
1 Parent(s): 142755e

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +74 -74
README.md CHANGED
@@ -1,80 +1,80 @@
1
- ---
2
- library_name: sklearn
3
- tags:
4
- - sklearn
5
- - skops
6
- - tabular-classification
7
- model_format: pickle
8
- model_file: skops-_rlm9nbx.pkl
9
- widget:
10
- - structuredData:
11
- x0:
12
- - 1.0086665077175379
13
- - 1.0086665077175379
14
- - -0.9914079553041198
15
- x1:
16
- - -1.0086665077175376
17
- - -1.0086665077175376
18
- - 0.99140795530412
19
- x10:
20
- - -0.22650043789522045
21
- - 1.0087085512107812
22
- - -1.1535683034040811
23
- x11:
24
- - -0.3931869525722032
25
- - -1.2502276872280191
26
- - -0.3931869525722032
27
- x12:
28
- - -0.22475360373860484
29
- - -1.2736037545187613
30
- - -1.2736037545187613
31
- x13:
32
- - -0.36644465957257716
33
- - -0.36644465957257716
34
- - -0.36644465957257716
35
- x14:
36
- - -0.43989052441881077
37
- - -1.6043722933752058
38
- - -0.43989052441881077
39
- x2:
40
- - -0.5244627009562925
41
- - -0.5244627009562925
42
- - -0.5244627009562925
43
- x3:
44
- - -1.0038424733297755
45
- - -1.0038424733297755
46
- - 0.9961722347560998
47
- x4:
48
- - 1.594238352724291
49
- - 1.594238352724291
50
- - -0.6272587773911873
51
- x5:
52
- - -0.9810049179827242
53
- - 1.0193628815402107
54
- - 1.0193628815402107
55
- x6:
56
- - 0.981004917982724
57
- - -1.019362881540211
58
- - -1.019362881540211
59
- x7:
60
- - 1.901326970246757
61
- - -0.525948464229825
62
- - -0.525948464229825
63
- x8:
64
- - -1.9013269702467568
65
- - 0.5259484642298251
66
- - 0.5259484642298251
67
- x9:
68
- - -0.7015627248979232
69
- - 0.8218167103592607
70
- - -1.3109144990007968
71
- datasets:
72
- - saifhmb/CreditCardRisk
73
- ---
74
 
75
  # Model description
76
 
77
- This is a logistic regression model trained on customers' credit card risk data in a bank using sklearn library. The full dataset can be viewed at the following link: https://huggingface.co/datasets/saifhmb/CreditCardRisk
78
 
79
 
80
  ## Training Procedure
 
1
+ ---
2
+ library_name: sklearn
3
+ tags:
4
+ - sklearn
5
+ - skops
6
+ - tabular-classification
7
+ model_format: pickle
8
+ model_file: skops-_rlm9nbx.pkl
9
+ widget:
10
+ - structuredData:
11
+ x0:
12
+ - 1.0086665077175379
13
+ - 1.0086665077175379
14
+ - -0.9914079553041198
15
+ x1:
16
+ - -1.0086665077175376
17
+ - -1.0086665077175376
18
+ - 0.99140795530412
19
+ x10:
20
+ - -0.22650043789522045
21
+ - 1.0087085512107812
22
+ - -1.1535683034040811
23
+ x11:
24
+ - -0.3931869525722032
25
+ - -1.2502276872280191
26
+ - -0.3931869525722032
27
+ x12:
28
+ - -0.22475360373860484
29
+ - -1.2736037545187613
30
+ - -1.2736037545187613
31
+ x13:
32
+ - -0.36644465957257716
33
+ - -0.36644465957257716
34
+ - -0.36644465957257716
35
+ x14:
36
+ - -0.43989052441881077
37
+ - -1.6043722933752058
38
+ - -0.43989052441881077
39
+ x2:
40
+ - -0.5244627009562925
41
+ - -0.5244627009562925
42
+ - -0.5244627009562925
43
+ x3:
44
+ - -1.0038424733297755
45
+ - -1.0038424733297755
46
+ - 0.9961722347560998
47
+ x4:
48
+ - 1.594238352724291
49
+ - 1.594238352724291
50
+ - -0.6272587773911873
51
+ x5:
52
+ - -0.9810049179827242
53
+ - 1.0193628815402107
54
+ - 1.0193628815402107
55
+ x6:
56
+ - 0.981004917982724
57
+ - -1.019362881540211
58
+ - -1.019362881540211
59
+ x7:
60
+ - 1.901326970246757
61
+ - -0.525948464229825
62
+ - -0.525948464229825
63
+ x8:
64
+ - -1.9013269702467568
65
+ - 0.5259484642298251
66
+ - 0.5259484642298251
67
+ x9:
68
+ - -0.7015627248979232
69
+ - 0.8218167103592607
70
+ - -1.3109144990007968
71
+ datasets:
72
+ - saifhmb/CreditCardRisk
73
+ ---
74
 
75
  # Model description
76
 
77
+ This is a logistic regression model trained on customers' credit card risk data in a bank using sklearn library. The model predicts whether a customer is worth issuing a credit card or not. The full dataset can be viewed at the following link: https://huggingface.co/datasets/saifhmb/CreditCardRisk
78
 
79
 
80
  ## Training Procedure