Table 2.

The best performance achieved by single types of features for the second task

Sub-classifier	Features	Dimension	Sn (%)	Sp (%)	Acc(%)	MCC
1st	KNN	15	90.26	75.64	84.30	0.6723
	BPB	162	88.55	76.76	83.74	0.6609
	DNC	4	89.08	29.67	64.86	0.237
	MNC	3	88.84	27.10	63.67	0.2055
	DAC	12	90.2	24.01	63.22	0.1925
2nd	KNN	3	86.36	91.06	89.11	0.7754
	BPB	130	89.05	92.67	91.17	0.8179
	DNC	8	21.9	90.32	61.92	0.1698
	MNC	3	2.89	98.24	58.66	0.0378
	DAC	12	33.06	84.31	63.04	0.2037
3rd	KNN	11	80.07	86.7	83.87	0.6696
	BPB	80	83.51	87.47	85.78	0.7094
	DNC	10	26.80	85.93	60.7	0.159
	MNC	2	1.72	99.49	57.77	0.0592
	DAC	6	13.75	92.58	58.94	0.1038
4th	KNN	5	82.82	89.04	86.45	0.7206
	BPB	70	82.21	86.40	84.65	0.6850
	DNC	14	42.33	78.51	63.43	0.2238
	MNC	3	26.99	87.28	62.15	0.1806
	DAC	12	49.08	75.00	64.19	0.2488
5th	KNN	1	96.27	82.98	90.79	0.8107
	BPB	140	94.78	91.49	93.42	0.8641
	DNC	10	79.10	60.64	71.49	0.4046
	MNC	3	91.04	7.45	56.58	−0.0269
	DAC	10	76.12	58.51	68.86	0.3509