Skip to main content

5 docs tagged with "Recall"

True positives divided by total actual positives.

View all tags

Confusion Matrix and Basic Metrics

Understanding the 2x2 confusion matrix, extracting TP, TN, FP, FN, and diagnosing the dangerous Accuracy Paradox on imbalanced datasets.

F-Scores and Balanced Metrics

Synthesizing precision and recall via the harmonic mean, custom weighting with F-beta, and evaluating imbalanced cohorts with Balanced Accuracy and MCC.

Multiclass and Choosing Metrics

Extending binary metrics to multiclass problems via Macro, Micro, and Weighted averaging, plus an interactive master metric selection guide.

Precision and Recall

Two complementary metrics exposing what accuracy hides—false alarms versus missed detections, and mastering the threshold tradeoff.