• Data Source and Description: "https://www.kaggle.com/datasets/mathchi/diabetes-data-set"

• Pregnancies: Number of times pregnant
• Glucose: Plasma glucose concentration a 2 hours in an oral glucose tolerance test
• Blood Pressure: Diastolic blood pressure (mm Hg)
• Insulin: 2-hour serum insulin (mu U/ml)
• BMI: Body mass index (weight in kg/(height in m)^2)
• Diabetes Pedigree Function: diabetes pedigree function
• Age: age (years)
• Outcome: 1 = positive, 0 = negative

The outcome variable has 500 negative and 268 positive. In the machine learning models used in this project, counter measures such as SMOTE were used in the k nearest neighbor model, random forest model, elastic net model and gradient boosting method. And class weight assigning method was used in the ANN model.