Table 4.

Description of the entries composing a confusion matrix

	Target class
	1	2
Output class
1	True positive	False positive	Precision False discovery rate
2	False negative	True negative	Negative predictive value False omission rate
	Sensitivity False negative rate	Specificity False positive rate	Percent of correctly classified cases Percent of misclassified cases