As in BR, the Classifier Chains (CC) model uses L binary transformations , one for each label. In this respect, CC is similar to BR in that it forms a classifier chain by extending the attribute space of each binary model with the 0/1 label relevances of all prior classifiers. CC is different from the BR as it can exploit correlations among labels.