What is a confusion matrix?

A confusion matrix summarizes classification model performance using TP, TN, FP, and FN.

It is a table that compares predicted vs actual values. It helps derive metrics like precision, recall, F1-score, and accuracy. It is essential for understanding classification performance beyond simple accuracy.