What each classification metric really means — and which one your problem should optimize. Free calculators.
Compute accuracy, precision, recall, F1, specificity, MCC and more for classification metrics from TP/FP/FN/TN counts.
Weighted harmonic mean of precision and recall — tune β to favor recall (β>1) or precision (β<1) for your problem.
Trapezoidal area under the ROC curve from your (FPR, TPR) operating points — the threshold-independent ranking score.
Turn a test's sensitivity and specificity into predictive values at any prevalence — the base-rate calculator.
Average of sensitivity and specificity — the imbalance-proof accuracy, plus Youden's J for optimal threshold selection.
Inter-rater / model-vs-label agreement corrected for chance — the metric for labeling quality and annotation studies.
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