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. 2018 Jan 19;13(1):e0191241. doi: 10.1371/journal.pone.0191241

Table 1. Confusion matrix for a binary classifier.

Predicted
Positive Negative
Positive TP FN Sensitivity = TP/TP+FN
Negative FP TN Specificity = TN/TN+FP

TP = True positive: Diseased individuals correctly diagnosed as sick; FP = False positive: Healthy individuals wrongly predicted as sick; TN = True negative: Healthy individuals correctly predicted as healthy; FN = False negative: Diseased individuals wrongly predicted as healthy.