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. 2017 Dec 4;8(3):e1352. doi: 10.1002/wcms.1352

Figure 8.

Figure 8

Area Under Receiver Operating Characteristics curve (AUROC) scores of the top‐ranked models generated by each multi‐label classification method and the binary relevance method per endpoint in (a) internal and (b) external validation. Rows correspond to the multi‐label classification methods and the binary relevance method. Column corresponds to endpoints. Each cell shows the AUROC scores of each method per endpoint. The scores range from 0.0 (worst performance) to 1.0 (best performance). AUROC scores of 0.5 indicate random predictions. BR, binary relevance; CC, classifier chains; DL, deep learning; LP, label powerset; MLC‐BMaD, multi‐label Boolean matrix decomposition; MLDT, multi‐label decision tree; MLKNN, multi‐label K nearest neighbor; RAkEL, random K labelset; SSL, semi‐supervised learning.