Research Article
A Proposed Technique Using Machine Learning for the Prediction of Diabetes Disease through a Mobile App
Table 1
The features of both Pima Indians and private datasets.
| Features | Pima Indians dataset | Private dataset | Max | Min | Average | Max | Min | Average |
| Pregnancies | 17 | 0 | 3.85 | 8 | 0 | 1.45 | Glucose (mg/dl) | 199 | 44 | 120.89 | 205 | 35 | 110.15 | Blood pressure | 122 | 40 | 69.11 | 165 | 55 | 69.11 | SkinThickness | 99 | 10 | 20.54 | 89 | 11 | 18.56 | Insulin (μU/ml) | 846 | 15 | 79.81 | 540 | 20 | 89.86 | Body mass index (BMI) | 67.1 | 19.1 | 31.99 | 77.3 | 44.5 | 40.45 | Diabetes pedigree function | 2.42 | 0.08 | 0.47 | 3.45 | 1.05 | 0.92 | Age (year) | 81 | 21 | 33.24 | 77 | 15 | 25.41 |
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