. 2016 May 19;11(5):e0155119. doi: 10.1371/journal.pone.0155119

Table 3. Comparative G-mean results for ML(W)SVM against the regular SVM, WSVM, NB, C4.5, 5NN, and LR on academic datasets for different fractions of missing values (r_mv) using the REM imputation method.

Dataset	r_mv	MLSVM	MLWSVM	SVM	WSVM	C4.5	5NN	NB	LR
Twonorm	5%	0.98	0.98	0.98	0.98	0.86	0.97	0.98	0.98
	10%	0.98	0.98	0.97	0.97	0.87	0.97	0.97	0.97
	20%	0.98	0.98	0.98	0.98	0.88	0.97	0.97	0.98
	40%	0.97	0.97	0.97	0.97	0.89	0.97	0.98	0.98
Letter	5%	0.97	1.00	0.99	0.99	0.97	0.98	0.86	0.81
	10%	0.98	1.00	0.98	0.99	0.98	0.98	0.86	0.80
	20%	1.00	1.00	0.99	0.99	0.97	0.98	0.87	0.80
	40%	0.95	0.97	0.96	0.99	0.97	0.98	0.88	0.83
Ringorm	5%	0.97	0.98	0.97	0.98	0.91	0.61	0.99	0.76
	10%	0.98	0.98	0.99	0.99	0.91	0.62	0.98	0.76
	20%	0.98	0.98	0.97	0.98	0.91	0.62	0.98	0.76
	40%	0.98	0.98	0.97	0.98	0.91	0.62	0.98	0.76
Cod-rna	5%	0.95	0.96	0.96	0.96	0.95	0.92	0.66	0.93
	10%	0.95	0.96	0.95	0.96	0.95	0.91	0.66	0.92
	20%	0.95	0.96	0.95	0.95	0.94	0.91	0.67	0.92
	40%	0.95	0.95	0.95	0.95	0.93	0.90	0.68	0.91
Clean	5%	1.00	0.99	0.98	1.00	0.83	0.92	0.79	0.89
	10%	0.99	1.00	0.99	1.00	0.83	0.91	0.79	0.89
	20%	1.00	1.00	1.00	1.00	0.83	0.91	0.79	0.89
	40%	1.00	1.00	1.00	1.00	0.82	0.92	0.79	0.89
Advertisement	5%	0.87	0.87	0.87	0.87	0.92	0.81	0.60	0.82
	10%	0.87	0.87	0.86	0.86	0.86	0.85	0.62	0.82
	20%	0.83	0.85	0.83	0.85	0.89	0.83	0.61	0.83
	40%	0.84	0.86	0.87	0.81	0.91	0.85	0.62	0.82
Nursery	5%	0.99	0.99	1.00	1.00	1.00	1.00	0.00	1.00
	10%	0.99	0.99	1.00	1.00	1.00	1.00	0.00	1.00
	20%	0.96	0.96	1.00	1.00	1.00	1.00	0.00	1.00
	40%	0.92	0.92	1.00	1.00	1.00	0.99	0.46	1.00
Hypothyroid	5%	0.83	0.87	0.81	0.87	0.96	0.76	0.97	0.88
	10%	0.85	0.86	0.78	0.86	0.96	0.76	0.96	0.89
	20%	0.84	0.86	0.72	0.86	0.96	0.75	0.97	0.90
	40%	0.86	0.88	0.84	0.88	0.96	0.76	0.97	0.89
Buzz	5%	0.94	0.94	0.94	0.94	0.94	0.93	0.89	0.94
	10%	0.94	0.94	0.94	0.94	0.94	0.93	0.89	0.94
	20%	0.92	0.94	0.93	0.94	0.94	0.93	0.88	0.93
	40%	0.93	0.93	0.93	0.93	0.94	0.94	0.86	0.94
Forest	5%	0.90	0.91	0.90	0.91	0.91	0.87	0.80	0.00
	10%	0.92	0.93	0.91	0.92	0.88	0.85	0.78	0.00
	20%	0.91	0.92	0.90	0.91	0.89	0.84	0.77	0.00
	40%	0.88	0.89	0.88	0.90	0.85	0.82	0.73	0.00
# of bold values		13	22	13	22	13	4	9	10

Table 3. Comparative G-mean results for ML(W)SVM against the regular SVM, WSVM, NB, C4.5, 5NN, and LR on academic datasets for different fractions of missing values (rmv) using the REM imputation method.

Table 3. Comparative G-mean results for ML(W)SVM against the regular SVM, WSVM, NB, C4.5, 5NN, and LR on academic datasets for different fractions of missing values (r_mv) using the REM imputation method.