Table 3.

Performance metrics under Case 3: Cauchy distribution. Table shows mean metrics (standard deviation).

π	Method	Accuracy	F-score	Sensitivity	Specificity
0.3	Two-step	0.6994 (0.0062)	-	0 (0)	1 (0)
	Biased-SVM	0.6746 (0.1430)	0.4143 (0.2151)	0.4759 (0.3115)	0.7604 (0.2360)
	Bagging-SVM	0.8146 (0.1036)	0.7422 (0.0705)	0.8372 (0.0468)	0.8047 (0.1614)
	Mixture model	0.8570 (0.0141)	0.7819 (0.0133)	0.8509 (0.0352)	0.8596 (0.0326)
0.4	Two-step	0.5991 (0.0066)	-	0 (0)	1 (0)
	Biased-SVM	0.6101 (0.1161)	0.3326 (0.2237)	0.3550 (0.3290)	0.7819 (0.2557)
	Bagging-SVM	0.7906 (0.0953)	0.7581 (0.0887)	0.7957 (0.0790)	0.7871 (0.1385)
	Mixture model	0.8418 (0.0093)	0.8219 (0.0079)	0.9104 (0.0278)	0.7959 (0.0303)
0.5	Two-step	0.4911 (0.0068)	-	0 (0)	1 (0)
	Biased-SVM	0.5193 (0.0561)	0.2312 (0.2179)	0.2286 (0.2854)	0.8127 (0.2630)
	Bagging-SVM	0.7275 (0.1225)	0.7303 (0.1148)	0.7277 (0.1170)	0.7275 (0.1743)
	Mixture model	0.8468 (0.0077)	0.8612 (0.0056)	0.9484 (0.0191)	0.7448 (0.0291)
0.6	Two-step	0.4009 (0.0066)	-	0 (0)	1 (0)
	Biased-SVM	0.4549 (0.0768)	0.2302 (0.2137)	0.2146 (0.2818)	0.8130 (0.2729)
	Bagging-SVM	0.6719 (0.1523)	0.6992 (0.1646)	0.6588 (0.1735)	0.6908 (0.2009)
	Mixture model	0.8614 (0.0073)	0.8935 (0.0052)	0.9703 (0.0105)	0.6987 (0.0272)
0.7	Two-step	0.3006 (0.0061)	-	0 (0)	1 (0)
	Biased-SVM	0.3800 (0.0997)	0.2329 (0.2107)	0.1995 (0.2483)	0.8010 (0.2483)
	Bagging-SVM	0.6058 (0.1291)	0.6736 (0.1193)	0.5984 (0.1445)	0.6230 (0.2268)
	Mixture model	0.8837 (0.0062)	0.9221 (0.0041)	0.9845 (0.0053)	0.6500 (0.0238)