Table 2.

The performance of single feature based LR models developed using the top ten features.

Feature name	Sensitivity	Specificity	Accuracy	AUC	Kappa	MCC
BTC_T	65.64	66.06	65.79	0.69	0.30	0.31
BTC_S	66.32	67.88	66.89	0.69	0.32	0.33
BTC_H	65.98	67.27	66.45	0.69	0.31	0.32
CeTD_75_p_VW3	56.70	66.06	60.09	0.68	0.21	0.22
CeTD_100_p_VW3	56.70	66.06	60.09	0.68	0.21	0.22
CeTD_50_p_VW3	68.73	53.33	63.16	0.68	0.22	0.22
CeTD_100_p_HB3	71.13	53.33	64.69	0.66	0.24	0.24
CeTD_75_p_HB3	71.13	53.33	64.69	0.66	0.24	0.24
CeTD_50_p_HB1	62.89	63.03	62.94	0.66	0.24	0.25
CeTD_50_p_SS3	62.89	63.03	62.94	0.66	0.24	0.25