- condition positive (P)
- the number of real positive cases in the data
- condition negative (N)
- the number of real negative cases in the data
- true positive (TP)
- eqv. with hit
- true negative (TN)
- eqv. with correct rejection
- false positive (FP)
- eqv. with false alarm, type I error or underestimation
- false negative (FN)
- eqv. with miss, type II error or overestimation
- sensitivity, recall, hit rate, or true positive rate (TPR)
- specificity, selectivity or true negative rate (TNR)
- precision or positive predictive value (PPV)
- negative predictive value (NPV)
- miss rate or false negative rate (FNR)
- fall-out or false positive rate (FPR)
- false discovery rate (FDR)
- false omission rate (FOR)
- prevalence threshold (PT)
- threat score (TS) or critical success index (CSI)
- accuracy (ACC)
- balanced accuracy (BA)
- F1 score is the harmonic mean of precision and sensitivity
- Matthews correlation coefficient (MCC)
- Fowlkes–Mallows index (FM)
- informedness or bookmaker informedness (BM)
- markedness (MK) or deltaP (Δp)
Sources: Fawcett (2006),[1] Piryonesi and El-Diraby (2020),[2]
Powers (2011),[3] Ting (2011),[4] CAWCR,[5] D. Chicco & G. Jurman (2020, 2021),[6][7] Tharwat (2018).[8]
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