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| 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 |