Research Article
A Novel Approach for Feature Selection and Classification of Diabetes Mellitus: Machine Learning Methods
Table 2
Description of PIMA Indian diabetes dataset.
| S. No | Attributes | Mean | Standard deviation | Min/max value |
| 1 | No. of times pregnant | 3.8 | 3.4 | 1/17 | 2 | Plasma glucose concentration | 120.9 | 32 | 56/197 | 3 | Diastolic blood Pressure | 69.1 | 19.4 | 24/110 | 4 | Triceps skin fold thickness (mm) | 20.5 | 16 | 7/52 | 5 | 2-Hour serum insulin | 79.8 | 115.2 | 15/846 | 6 | Body mass index (kg/m2) | 32 | 7.9 | 18.2/57.3 | 7 | Diabetes pedigree function | 0.5 | 0.3 | 0.0850/2.32 | 8 | Age | 33.2 | 11.8 | 21/81 | 9 | Class | | Tested positive: | Diabetic | | | | Tested negative: | Nondiabetic |
|
|