Research Article
An Enhanced Machine Learning Framework for Type 2 Diabetes Classification Using Imbalanced Data with Missing Values
Table 3
Dataset attributes description.
| | No. | Attribute name | Attribute description | Attribute type |
| | 1 | Pregnancies | Number of pregnancies of a woman | Numeric | | 2 | Glucose (mg/dl) | Plasma glucose concentration for 2 hours in an oral glucose tolerance test | Numeric | | 3 | Blood pressure (mmHg) | Diastolic blood pressure | Numeric | | 4 | Skin thickness (mm) | Triceps skinfold thickness | Numeric | | 5 | Insulin (mu U/ml) | 2-hour serum insulin | Numeric | | 6 | BMI (kg/m2) | Body mass index (weight in kg/(height in m)2) | Continuous | | 7 | Diabetes pedigree function | Diabetes pedigree function | Continuous | | 8 | Age | Age in years | Numeric | | 9 | Outcome | Target variable (0 or 1) 0 for negative, 1 for positive | Binary |
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