Table 4.

Confusion Matrix for Binary Classification Models.

		Actual Classification
		Positive	Negative
Predicted Classification	Positive	True Positive	False Positive Type I Error
	Negative	False Negative Type II Error	True Negative

Note. The confusion matrix represents the four possible outcomes of a binary classification model.