Research Article
Feature Selection Method Based on Artificial Bee Colony Algorithm and Support Vector Machines for Medical Datasets Classification
Table 4
Features and parameters of the diabetes dataset.
| Features | Mean | Standard deviation | Min | Max |
| Number of times pregnant | 3.8 | 3.4 | 0 | 17 | Plasma glucose concentration, 2 h in an oral glucose tolerance test | 120.9 | 32.0 | 0 | 199 | Diastolic blood pressure (mm Hg) | 69.1 | 19.4 | 0 | 122 | Triceps skinfold thickness (mm) | 20.5 | 16.0 | 0 | 99 | 2-hour serum insulin (mu U/mL) | 79.8 | 115.2 | 0 | 846 | Body mass index (kg/) | 32.0 | 7.9 | 0 | 67.1 | Diabetes pedigree function | 0.5 | 0.3 | 0.078 | 2.42 | Age (years) | 33.2 | 11.8 | 21 | 81 |
|
|