Tag
precision-recall
- Nov 4, 2025 Selecting a Decision Threshold from the Confusion Matrix Why a classifier produces a score rather than a label, how the threshold trades false positives against false negatives, and what determines where it belongs. machine learning
- May 4, 2025 ROC-AUC and PR-AUC Under Class Imbalance What each area actually integrates, why ROC-AUC stays flat as positives become rare, and the conditions under which the two order two models differently. machine learning
- Apr 10, 2024 Macro, Micro, and Weighted Averaging in Multiclass Metrics How the three averaging modes weight each class, why micro-averaged F1 equals accuracy in single-label problems, and which one answers which question. machine learning
- Nov 23, 2023 Precision and Recall at a Cutoff: Why the Cutoff Changes the Metric How a rank cutoff turns set-based measures into per-prefix measures, why precision at small k is unstable across topics, and what R-precision fixes. information retrieval