Confusion matrix

Confusion matrix
Total TP+FP+FN+TN	Condition positive Actual true TP+FN	Condition negative Actual false FP+TN	Prevalence (TP+FN)/(TP+FP+FN+TN)
Test outcome positive Predicted true TP+FP	True positive TP	False positive FP	Positive predictive value Precision PPV = TP/(TP+FP)
Test outcome negative Predicted false FN+TN	False negative FN	True negative TN	Negative predictive value NPV = TN/(FN+TN)
(TP+FP)/(TP+FP+FN+TN)	Sensitivity Recall True positive rate TPR = TP/(TP+FN)	Specificity True negative rate TNR = TN/(FP+TN)	Accuracy (TP+TN)/(TP+FP+FN+TN)