Table 2: Comparison of RAKEL and BR models with different classification algorithms.

Model Accuracy Exact Match Hamming Loss
RAKEL model
(SVM: RBF kernel)
(iMPT-FRAKEL)		 0.804 0.745 0.039
BR model
(SVM: RBF kernel)		 0.748 0.693 0.039
RAKEL model
(SVM: polynomial kernel)		 0.787 0.716 0.046
BR model
(SVM: polynomial kernel)		 0.754 0.665 0.045
RAKEL model
(RF)		 0.784 0.697 0.046
BR model
(RF)		 0.706 0.648 0.044

RAKEL: Random k-labelsets BR: Binary Relevance