multiple labels simultaneously. In this paper, we propose a multi-label crotch ensemble
(MLCE) model for multi-label classification, which takes label correlations into consideration.
In MLCE, a multi-label cluster tree is first constructed. Then, we incorporate all multi-label
crotch predictors of the tree into a classifier, where the multi-label crotch predictor is the
crotch formed by an inner node of the tree and its children. Finally, a flexible weighted voting …