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Pregnancies
int64
Glucose
float64
BloodPressure
float64
SkinThickness
float64
Insulin
float64
BMI
float64
DiabetesPedigree
float64
Age
int64
Outcome
int64
6
148
72
35
null
33.6
0.627
50
1
1
85
66
29
null
26.6
0.351
31
0
8
183
64
null
null
23.3
0.672
32
1
1
89
66
23
94
28.1
0.167
21
0
0
137
40
35
168
43.1
2.288
33
1
5
116
74
null
null
25.6
0.201
30
0
3
78
50
32
88
31
0.248
26
1
10
115
null
null
null
35.3
0.134
29
0
2
197
70
45
543
30.5
0.158
53
1
8
125
96
null
null
null
0.232
54
1
4
110
92
null
null
37.6
0.191
30
0
10
168
74
null
null
38
0.537
34
1
10
139
80
null
null
27.1
1.441
57
0
1
189
60
23
846
30.1
0.398
59
1
5
166
72
19
175
25.8
0.587
51
1
7
100
null
null
null
30
0.484
32
1
0
118
84
47
230
45.8
0.551
31
1
7
107
74
null
null
29.6
0.254
31
1
1
103
30
38
83
43.3
0.183
33
0
1
115
70
30
96
34.6
0.529
32
1
3
126
88
41
235
39.3
0.704
27
0
8
99
84
null
null
35.4
0.388
50
0
7
196
90
null
null
39.8
0.451
41
1
9
119
80
35
null
29
0.263
29
1
11
143
94
33
146
36.6
0.254
51
1
10
125
70
26
115
31.1
0.205
41
1
7
147
76
null
null
39.4
0.257
43
1
1
97
66
15
140
23.2
0.487
22
0
13
145
82
19
110
22.2
0.245
57
0
5
117
92
null
null
34.1
0.337
38
0
5
109
75
26
null
36
0.546
60
0
3
158
76
36
245
31.6
0.851
28
1
3
88
58
11
54
24.8
0.267
22
0
6
92
92
null
null
19.9
0.188
28
0
10
122
78
31
null
27.6
0.512
45
0
4
103
60
33
192
24
0.966
33
0
11
138
76
null
null
33.2
0.42
35
0
9
102
76
37
null
32.9
0.665
46
1
2
90
68
42
null
38.2
0.503
27
1
4
111
72
47
207
37.1
1.39
56
1
3
180
64
25
70
34
0.271
26
0
7
133
84
null
null
40.2
0.696
37
0
7
106
92
18
null
22.7
0.235
48
0
9
171
110
24
240
45.4
0.721
54
1
7
159
64
null
null
27.4
0.294
40
0
0
180
66
39
null
42
1.893
25
1
1
146
56
null
null
29.7
0.564
29
0
2
71
70
27
null
28
0.586
22
0
7
103
66
32
null
39.1
0.344
31
1
7
105
null
null
null
null
0.305
24
0
1
103
80
11
82
19.4
0.491
22
0
1
101
50
15
36
24.2
0.526
26
0
5
88
66
21
23
24.4
0.342
30
0
8
176
90
34
300
33.7
0.467
58
1
7
150
66
42
342
34.7
0.718
42
0
1
73
50
10
null
23
0.248
21
0
7
187
68
39
304
37.7
0.254
41
1
0
100
88
60
110
46.8
0.962
31
0
0
146
82
null
null
40.5
1.781
44
0
0
105
64
41
142
41.5
0.173
22
0
2
84
null
null
null
null
0.304
21
0
8
133
72
null
null
32.9
0.27
39
1
5
44
62
null
null
25
0.587
36
0
2
141
58
34
128
25.4
0.699
24
0
7
114
66
null
null
32.8
0.258
42
1
5
99
74
27
null
29
0.203
32
0
0
109
88
30
null
32.5
0.855
38
1
2
109
92
null
null
42.7
0.845
54
0
1
95
66
13
38
19.6
0.334
25
0
4
146
85
27
100
28.9
0.189
27
0
2
100
66
20
90
32.9
0.867
28
1
5
139
64
35
140
28.6
0.411
26
0
13
126
90
null
null
43.4
0.583
42
1
4
129
86
20
270
35.1
0.231
23
0
1
79
75
30
null
32
0.396
22
0
1
null
48
20
null
24.7
0.14
22
0
7
62
78
null
null
32.6
0.391
41
0
5
95
72
33
null
37.7
0.37
27
0
0
131
null
null
null
43.2
0.27
26
1
2
112
66
22
null
25
0.307
24
0
3
113
44
13
null
22.4
0.14
22
0
2
74
null
null
null
null
0.102
22
0
7
83
78
26
71
29.3
0.767
36
0
0
101
65
28
null
24.6
0.237
22
0
5
137
108
null
null
48.8
0.227
37
1
2
110
74
29
125
32.4
0.698
27
0
13
106
72
54
null
36.6
0.178
45
0
2
100
68
25
71
38.5
0.324
26
0
15
136
70
32
110
37.1
0.153
43
1
1
107
68
19
null
26.5
0.165
24
0
1
80
55
null
null
19.1
0.258
21
0
4
123
80
15
176
32
0.443
34
0
7
81
78
40
48
46.7
0.261
42
0
4
134
72
null
null
23.8
0.277
60
1
2
142
82
18
64
24.7
0.761
21
0
6
144
72
27
228
33.9
0.255
40
0
2
92
62
28
null
31.6
0.13
24
0
1
71
48
18
76
20.4
0.323
22
0
6
93
50
30
64
28.7
0.356
23
0
1
122
90
51
220
49.7
0.325
31
1
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Pima Indians Diabetes

Classic biostatistics dataset for predicting diabetes onset in Pima Indian women based on clinical and demographic variables. Originally from the National Institute of Diabetes and Digestive and Kidney Diseases.

Feature Summary

Feature Type Role
Pregnancies numeric predictor
Glucose numeric predictor
BloodPressure numeric predictor
SkinThickness numeric predictor
Insulin numeric predictor
BMI numeric predictor
DiabetesPedigree numeric predictor
Age numeric predictor
Outcome numeric target

Statistics

  • Target distribution: 0 (no diabetes): 500, 1 (diabetes): 268
  • Missing values: Insulin 48.7%, SkinThickness 29.6% (biologically impossible zeros set to NaN)

Benchmark Results (5-Fold CV)

Model ROC-AUC F1 Accuracy Sensitivity Precision
logistic_regression 0.8376 0.6836 0.7590 0.7387 0.6409
random_forest 0.8299 0.6757 0.7512 0.7425 0.6215
xgboost 0.8131 0.6226 0.7265 0.6491 0.5997

Preprocessing Notes

  • Missing values imputed with median (numeric) / most frequent (categorical)
  • SMOTE applied during cross-validation to handle class imbalance
  • Numeric features standardized (z-score normalization)

Citation

See source reference above. This dataset is repackaged for HF datasets format.

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