Confusion Matrix and Basic Metrics
Understanding the 2x2 confusion matrix, extracting TP, TN, FP, FN, and diagnosing the dangerous Accuracy Paradox on imbalanced datasets.
True positives divided by total actual positives.
View all tagsUnderstanding the 2x2 confusion matrix, extracting TP, TN, FP, FN, and diagnosing the dangerous Accuracy Paradox on imbalanced datasets.
Synthesizing precision and recall via the harmonic mean, custom weighting with F-beta, and evaluating imbalanced cohorts with Balanced Accuracy and MCC.
Extending binary metrics to multiclass problems via Macro, Micro, and Weighted averaging, plus an interactive master metric selection guide.
Complete guide to regression and classification metrics with worked examples and interpretations for CT exam
Two complementary metrics exposing what accuracy hides—false alarms versus missed detections, and mastering the threshold tradeoff.