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3 docs tagged with "Threshold Tuning"

Optimizing prediction threshold for custom costs.

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Confusion Matrix and Basic Metrics

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

Precision and Recall

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

ROC-AUC and Threshold Tuning

Visualizing classifier discrimination across all cutoffs, interpreting the Area Under the Curve, and optimizing decision thresholds via Youden's J.