This College Project builds a machine learning model to predict whether a person has diabetes based on diagnostic measurements.

The data comes from the Pima Indians Diabetes Database from Kaggle. It contains 768 observations of diagnostic measurements and a binary outcome of whether the patient has diabetes.

The features include:

• Pregnancies
• Glucose
• BloodPressure
• SkinThickness
• Insulin
• BMI
• DiabetesPedigreeFunction
• Age
• Outcome

• Data inspection and preprocessing
• Standard scaling
• KNN classifier
• Model evaluation

An accuracy of 79% and f1-score of 0.72 on the test set was produced.

Improvement by tuning hyperparameters and testing additional algorithms might improve the accuracy of the model.