Variables	Algorithms	True Positive (TP)	True Negative (TN)	False Positive (FP)	False Negative (FN)	$\frac{Accuracy (TP + TN)}{(TP + FP + TN + FN)}$
Deep Learning	ANN	6003	2867	680	450	88.7%
	CNN	6003	2869	681	451	88.5%
	RNN	6003	2867	680	450	88.7%
	DNN	6002	2867	681	450	88.6%
Supervised Learning	SVM	6042	2969	617	371	90.01%
	K-NN	5999	2823	710	468	88.2%
	NB	5999	2823	710	468	88.2%
	RF	5898	2825	750	527	87.2%
Unsupervised Learning	APRIORI	4981	2499	1607	913	74.8%
	ECLAT	4907	2556	1621	916	74.6%
	K-MEANS CLUSTERING	4981	2499	1607	913	74.8%
	DBSCAN	4981	2499	1607	913	74.8%