Table 3. Cross-validation results of Multi-Label classifiers.

	IBLR_ML	MLkNN	BRkNN	RAkEL	HOMER
Micro-averaged Precision	0.9239	0.9202	0.9251	0.9117	0.9070
Micro-averaged Recall	0.9128	0.919	0.9159	0.9117	0.8869
Micro-averaged F-Measure	0.9183	0.9196	0.9205	0.8628	0.8968
Macro-averaged Precision	0.9176	0.9134	0.9189	0.9181	0.9006
Macro-averaged Recall	0.9021	0.9103	0.907	0.8039	0.8759
Macro-averaged F-Measure	0.9097	0.9118	0.9128	0.8559	0.8879
Average Precision	0.9554	0.9542	0.9442	0.9267	0.9305