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Table 12 AUPR, AUC, and CI for different kernels under CVP setting

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

Kernel Method AUPR AUC CI CI_PCC
2D Kronecker_rls 0.6586 0.9388 0.8740
DTIP_MDHN 0.7706 0.9471 0.8623 0.8740
3D Kronecker_rls 0.6642 0.9419 0.8778
DTIP_MDHN 0.7712 0.9474 0.8821 0.8919
ECFP4 Kronecker_rls 0.6654 0.9444 0.8793
DTIP_MDHN 0.7654 0.9457 0.8856 0.9020
  1. The best results in each column are in bold. CI_PCC is the values of CI calculated by DTIP_MDHN with PCC kernel