Spaces:
Running
on
T4
Running
on
T4
title: Bark | |
emoji: 🐶 | |
colorFrom: gray | |
colorTo: blue | |
sdk: gradio | |
sdk_version: 3.27.0 | |
app_file: app.py | |
pinned: false | |
license: cc-by-nc-4.0 | |
Check out the configuraton reference at https://huggingface.co/docs/hub/spaces-config-reference | |
veral medical predictor variables) and only one target dependent variable (Outcome). | |
Tabular | |
Data Visualization | |
Diabetes | |
India | |
pandas | |
Usability | |
10.00 | |
License | |
CC0: Public Domain | |
Expected update frequency | |
Annually | |
diabetes.csv(23.88 kB) | |
Detail | |
Compact | |
Column | |
9 of 9 columns | |
About this file | |
Information about dataset attributes - | |
Pregnancies: To express the Number of pregnancies | |
Glucose: To express the Glucose level in blood | |
BloodPressure: To express the Blood pressure measurement | |
SkinThickness: To express the thickness of the skin | |
Insulin: To express the Insulin level in blood | |
BMI: To express the Body mass index | |
DiabetesPedigreeFunction: To express the Diabetes percentage | |
Age: To express the age | |
Outcome: To express the final result 1 is Yes and 0 is No | |
Pregnancies | |
To express the Number of pregnancies | |
Glucose | |
To express the Glucose level in blood | |
BloodPressure | |
To express the Blood pressure measurement | |
SkinThickness | |
To express the thickness of the skin | |
Insulin | |
To express the Insulin level in blood | |
BMI | |
To express the Body mass index | |
DiabetesPedigreeFunction | |
To express the Diabetes percentage | |
Age | |
To express the age | |
Outcome | |
To express the final result 1 is Yes and 0 is No | |
Label Count | |
0.00 - 1.70 246 | |
1.70 - 3.40 178 | |
3.40 - 5.10 125 | |
5.10 - 6.80 50 | |
6.80 - 8.50 83 | |
8.50 - 10.20 52 | |
10.20 - 11.90 11 | |
11.90 - 13.60 19 | |
13.60 - 15.30 3 | |
15.30 - 17.00 1 | |
0 | |
17 | |
Label Count | |
0.00 - 19.90 5 | |
39.80 - 59.70 4 | |
59.70 - 79.60 32 | |
79.60 - 99.50 156 | |
99.50 - 119.40 211 | |
119.40 - 139.30 163 | |
139.30 - 159.20 95 | |
159.20 - 179.10 56 | |
179.10 - 199.00 46 | |
0 | |
199 | |
Label Count | |
0.00 - 12.20 35 | |
12.20 - 24.40 1 | |
24.40 - 36.60 2 | |
36.60 - 48.80 13 | |
48.80 - 61.00 107 | |
61.00 - 73.20 261 | |
73.20 - 85.40 243 | |
85.40 - 97.60 87 | |
97.60 - 109.80 14 | |
109.80 - 122.00 5 | |
0 | |
122 | |
Label Count | |
0.00 - 9.90 231 | |
9.90 - 19.80 107 | |
19.80 - 29.70 165 | |
29.70 - 39.60 175 | |
39.60 - 49.50 78 | |
49.50 - 59.40 9 | |
59.40 - 69.30 2 | |
89.10 - 99.00 1 | |
0 | |
99 | |
Label Count | |
0.00 - 84.60 487 | |
84.60 - 169.20 155 | |
169.20 - 253.80 70 | |
253.80 - 338.40 30 | |
338.40 - 423.00 8 | |
423.00 - 507.60 9 | |
507.60 - 592.20 5 | |
592.20 - 676.80 1 | |
676.80 - 761.40 2 | |
761.40 - 846.00 1 | |
0 | |
846 | |
Label Count | |
0.00 - 6.71 11 | |
13.42 - 20.13 15 | |
20.13 - 26.84 156 | |
26.84 - 33.55 268 | |
33.55 - 40.26 224 | |
40.26 - 46.97 78 | |
46.97 - 53.68 12 | |
53.68 - 60.39 3 | |
60.39 - 67.10 1 | |
0 | |
67.1 | |
Label Count | |
0.08 - 0.31 318 | |
0.31 - 0.55 206 | |
0.55 - 0.78 136 | |
0.78 - 1.01 58 | |
1.01 - 1.25 25 | |
1.25 - 1.48 15 | |
1.48 - 1.72 3 | |
1.72 - 1.95 3 | |
1.95 - 2.19 1 | |
2.19 - 2.42 3 | |
0.08 | |
2.42 | |
Label Count | |
21.00 - 27.00 300 | |
27.00 - 33.00 157 | |
33.00 - 39.00 92 | |
39.00 - 45.00 86 | |
45.00 - 51.00 52 | |
51.00 - 57.00 34 | |
57.00 - 63.00 26 | |
63.00 - 69.00 16 | |
69.00 - 75.00 4 | |
75.00 - 81.00 1 | |
21 | |
81 | |
Label Count | |
0.00 - 0.10 500 | |
0.90 - 1.00 268 | |
0 | |
1 | |
6 | |
148 | |
72 | |
35 | |
0 | |
33.6 | |
0.627 | |
50 | |
1 | |
1 | |
85 | |
66 | |
29 | |
0 | |
26.6 | |
0.351 | |
31 | |
0 | |
8 | |
183 | |
64 | |
0 | |
0 | |
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 | |
0 | |
0 | |
25.6 | |
0.201 | |
30 | |
0 | |
3 | |
78 | |
50 | |
32 | |
88 | |
31 | |
0.248 | |
26 | |
1 | |
10 | |
115 | |
0 | |
0 | |
0 | |
35.3 | |
0.134 | |
29 | |
0 | |
2 | |
197 | |
70 | |
45 | |
543 | |
30.5 | |
0.158 | |
53 | |
1 | |
8 | |
125 | |
96 | |
0 | |
0 | |
0 | |
0.232 | |
54 | |
1 | |
4 | |
110 | |
92 | |
0 | |
0 | |
37.6 | |
0.191 | |
30 | |
0 | |
10 | |
168 | |
74 | |
0 | |
0 | |
38 | |
0.537 | |
34 | |
1 | |
10 | |
139 | |
80 | |
0 | |
0 | |
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 | |
0 | |
0 | |
0 | |
30 | |
0.484 | |
32 | |
1 | |
0 | |
118 | |
84 | |
47 | |
230 | |
45.8 | |
0.551 | |
31 | |
1 | |
7 | |
107 | |
74 | |
0 | |
0 | |
29.6 | |
0.254 | |
31 | |
1 |