Table 6 Comparison of all baseline approaches and ELECTRA-DTA on the KIBA datasets
Dataset | Model | CI | MSE | R | \(r_m^2\) | AUPR |
|---|---|---|---|---|---|---|
Original KIBA Dataset | KronRLS | 0.782 | 0.411 | - | 0.342 | 0.635 |
SimBoost | 0.836 | 0.222 | - | 0.629 | 0.760 | |
DeepDTA | 0.863 | 0.194 | 0.848 | 0.673 | 0.788 | |
WideDTA | 0.875 | 0.179 | - | - | - | |
DeepCDA | 0.889 (0.002) | 0.176 | 0.855 | 0.682 (0.008) | 0.812 (0.005) | |
ELECTRA-DTA | 0.889 (0.003) | 0.162 | 0.879 | 0.727 (0.004) | 0.795 (0.006) | |
refined KIBA Dataset | DeepDTA | 0.892 (0.026) | 0.152 | 0.896 | 0.766 (0.085) | 0.798 (0.063) |
Attention-DTA | 0.880 (0.001) | 0.158 | 0.883 | 0.742 (0.015) | 0.795 (0.003) | |
ELECTRA-DTA | 0.892 (0.002) | 0.143 | 0.892 | 0.780 (0.014) | 0.805 (0.005) |