Model Discrimination & Classification Performance – Practice Quiz

Evaluate binary classifiers using confusion matrices, sensitivity, specificity, precision, F1, ROC curves and AUC. Original operational scenarios connect thresholds to error costs and class imbalance. Prerequisites: binary prediction, conditional probability and basic proportions. Includes numerical exercises and challenges on ranking, calibration, prevalence shift and validation leakage.

Further reading: METRICS reference.