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Table 1 AUROC results for the compared methods

From: Drug-target interaction prediction with tree-ensemble learning and output space reconstruction

AUROC
Data BICTR eBICT NRLMF BLMNII STC
  Td×Lp>
NR 0.875 0.787* 0.851* 0.807* 0.794*
GR 0.894 0.857* 0.867* 0.842* 0.847*
IC 0.811 0.780* 0.792 0.737* 0.783*
E 0.891 0.827* 0.777* 0.815* 0.794*
Avg 0.868 0.813 0.822 0.800 0.805
  Ld×Tp
NR 0.905 0.614* 0.747* 0.667* 0.525*
GR 0.951 0.846* 0.861* 0.776* 0.800*
IC 0.968 0.931* 0.949* 0.887* 0.909*
E 0.973 0.924* 0.940* 0.904* 0.906*
Avg 0.949 0.829 0.874 0.809 0.785
  Td×Tp
NR 0.676 0.634* 0.683 0.554* 0.469*
GR 0.811 0.792* 0.800* 0.475* 0.630*
IC 0.733 0.719* 0.731 0.466* 0.649*
E 0.812 0.785* 0.749* 0.490* 0.682*
Avg 0.758 0.733 0.741 0.496 0.608