Diabetes Prediction Model Analysis

This project evaluates predictive models for diabetes diagnosis using machine learning techniques, including Logistic Regression, Decision Tree, and Random Forest. The analysis identifies key risk factors such as BMI, age, and general health, and compares model performance to enhance predictive capabilities for diabetes risk stratification.

Project Type: Model