MATLAB Program for Plotting ROC Curves

This repository provides a MATLAB-based implementation for generating ROC curves, also known as Receiver Operating Characteristic curves, which are essential tools for evaluating binary classification model performance. The code includes detailed inline comments explaining each computational step, making it particularly accessible for beginners. Key features include: - ROC curve visualization with customizable thresholds - Calculation of Area Under Curve (AUC) using trapezoidal integration method - Generation of confusion matrices with precision/recall metrics - Implementation of true positive rate (sensitivity) and false positive rate (1-specificity) calculations The program demonstrates fundamental classification evaluation metrics through practical code examples, serving as an excellent starting point for understanding model optimization techniques. The algorithm efficiently handles probability scores and class labels to compute ROC coordinates while maintaining computational efficiency through vectorized operations.