Predicting Human Diabetes with Machine Learning

This study presents a machine learning based model for predicting diabetes onset, leveraging the PIMA Indian Diabetes Dataset. The project explored Commonly used algorithms include Logistic Regression, Decision Trees, Random Forests, and Support Vector Machines (SVM).to assess their predictive capabilities. Extensive data preprocessing and feature selection were employed to enhance model accuracy. Among the tested models, Random Forest exhibited the highest performance with an accuracy of 89 percent, demonstrating its robustness for clinical application.