Table 2.

Confusion matrix.

Classes		Actual class
		Negative	Positive
Predicted class	Negative	123	8
	Positive	18	59

Accuracy = (TP + TN)/(TP + FN+FP + TN); Sensitivity (TP rate) = TP/(TP + FN); Specificity (TN rate) = TN/(FP + TN).