Table 2.

Results of BrSmoteSvm and other multi-label classifiers using 10-fold cross validation.

	BrSmoteSvm	MLKNN	BRKNN	ECC	IBLR	RAKEL
Average precision	0.66	0.53	0.51	0.51	0.51	0.46
Hamming loss	0.09	0.07	0.07	0.07	0.07	0.09
Coverage	1.11	2.21	2.46	2.41	2.34	2.89
One-error	0.47	0.75	0.75	0.76	0.76	0.78
Ranking loss	0.16	0.16	0.18	0.18	0.17	0.22