Table 5. The performance matrix of different machine learning algorithms.

Algorithms	Classes	TP	FP	FN	TN	Precn	F1_Score	Specy	Recall	MCC	Accuracy
AdaBoost	1	46	15	16	44	0.75	0.75	0.75	0.74	0.49	0.74
	0	44	16	15	46	0.73	0.74	0.74	0.75	0.49
Random forest	1	39	8	23	51	0.83	0.72	0.86	0.63	0.51	0.74
	0	51	23	8	39	0.69	0.77	0.63	0.86	0.51
Neural Network	1	40	22	22	37	0.65	0.65	0.63	0.65	0.27	0.64
	0	37	22	22	40	0.63	0.63	0.65	0.63	0.27
K-Nearest Neighbor	1	44	17	18	42	0.72	0.72	0.71	0.71	0.42	0.71
	0	42	18	17	44	0.70	0.71	0.71	0.71	0.42