athy125/AUC_Plotter

This project focuses on ROC (Receiver Operating Characteristic) curve analysis and AUC (Area Under the Curve) visualization for evaluating machine learning classifiers. It provides tools to assess classifier performance, offers flexibility for binary and multiclass scenarios, and supports customization of classifier hyperparameters.

Python