Evaluation of Binary Classifiers

This lecture covers the evaluation of binary classifiers, focusing on metrics such as recall, sensitivity, specificity, false positive and false negative rates, precision, ROC curves, convex combinations, and the relation between metrics measures and misclassification error. It also delves into the precision-recall curve and performance measures derived from the ROC curve.