Confusion Matrix and Basic Metrics
Understanding the 2x2 confusion matrix, extracting TP, TN, FP, FN, and diagnosing the dangerous Accuracy Paradox on imbalanced datasets.
Optimizing prediction threshold for custom costs.
View all tagsUnderstanding the 2x2 confusion matrix, extracting TP, TN, FP, FN, and diagnosing the dangerous Accuracy Paradox on imbalanced datasets.
Two complementary metrics exposing what accuracy hides—false alarms versus missed detections, and mastering the threshold tradeoff.
Visualizing classifier discrimination across all cutoffs, interpreting the Area Under the Curve, and optimizing decision thresholds via Youden's J.