Table 1 Experiments results for all multi-label classification algorithm. Results of BP-MLL and SdaMLL with highest average precision are selected.

From: Multi-label Deep Learning for Gene Function Annotation in Cancer Pathways

  Cverage precision Ranking loss Coverage
KNN 0.333 0.662 95.25
Decision trees 0.385 0.644 100.763
SdaMLL 0.577 0.286 2.436
BP-MLL 0.529 0.306 2.608