Table 3.

The confusion metrics for evaluating the heart disease detection system of test data using the Cleveland dataset for the used models.

Sr. No.	Used Model for Cleveland Datasets	Predicted Value (Actual Class)	Predicted Value			Actual Value
1.	Random Forest	N = 46		NO	YES
			NO	TN = 15	FP = 1	16
			YES	FN = 1	TP = 29	30
			Total predict	16	30	46
2.	AdaBoost	N = 46		NO	YES
			NO	TN = 14	FP = 2	16
			YES	FN = 2	TP = 28	30
			Total predict	16	30	46
3.	Decision Tree	N = 46		NO	YES
			NO	TN = 13	FP = 3	16
			YES	FN = 10	TP = 20	30
			Total predict	23	23	46
4.	KNN	N = 46		NO	YES
			NO	TN = 15	FP = 1	16
			YES	FN = 0	TP = 30	30
			Total predict	15	31	46