diabetes_prediction

Model Comparison and Evaluation for Classification

Description: This project compares the performance of various machine learning classifiers, including AdaBoost, XGBoost, and Decision Trees, on a classification dataset. It leverages cross-validation and evaluates the models based on accuracy, precision, recall, and other relevant metrics.