Table 1.

Performance evaluation of the proposed algorithm on different training and testing dataset divisions. The division shows the ratio of training to test dataset size. The best results are marked in bold.

Division	Sensitivity	Specificity	Precision	Accuracy	F Score	MCC
40:60	0.8611	0.8824	0.8378	0.8736	1.0276	0.3491
50:50	0.8621	0.8864	0.8333	0.8767	1.0274	0.3908
60:40	0.9200	0.8889	0.8519	0.9016	1.0866	0.5838
70:30	0.9375	0.9118	0.8333	0.9200	1.0976	0.8385