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Table 13 AUPR, AUC, and CI for different kernels under CVD setting

From: Drug-target interactions prediction using marginalized denoising model on heterogeneous networks

Kernel Method AUPR AUC CI CI_PCC
2D Kronecker_rls 0.2203 0.7055 0.6981
DTIP_MDHN 0.6896 0.8892 0.5489 0.8014
3D Kronecker_rls 0.3308 0.7700 0.7441
DTIP_MDHN 0.7044 0.8970 0.5547 0.7470
ECFP4 Kronecker_rls 0.3117 0.7487 0.7504
DTIP_MDHN 0.7138 0.9028 0.6990 0.7350
  1. The best results in each column are in bold. CI_PCC is the values of CI calculated by DTIP_MDHN with PCC kernel