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Table 2 AUPR results for the compared methods

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

AUPR
DataBICTReBICTNRLMFBLMNIISTC
 Td×Lp
NR0.4800.444*0.5010.4360.467
GR0.3340.3290.3490.3120.324
IC0.3290.317*0.3290.213*0.307
E0.3140.3160.367*0.255*0.353
Avg0.3640.3520.3870.3040.363
 Ld×Tp
NR0.5550.424*0.485*0.338*0.384*
GR0.5230.504*0.406*0.324*0.365*
IC0.8080.791*0.7980.724*0.779*
E0.7850.7840.795*0.735*0.752*
Avg0.6680.6260.6210.5300.570
 Td×Tp
NR0.1600.1510.1680.1000.080*
GR0.1560.1560.1680.042*0.079*
IC0.2330.2290.2270.041*0.198*
E0.2140.2180.263*0.016*0.190*
Avg0.1910.1890.2070.0500.137