Table 2 Performance of Single Predictors in terms of correlation coefficient between predicted and actual AUCs (correlation) and normalized mean square error (NMSE) for predicting AUC. Models used for building higher order linear ensembles are shown in bold
From: Investigation of model stacking for drug sensitivity prediction
Method | Correlation | NMSE |
|---|---|---|
Mean | 0.6345 | 1 |
KNN Residual | 0.6786 | 0.931 |
KNN Direct | 0.3623 | 1.555 |
NN GE | 0.7033 | 0.8613 |
NN Phy Direct | 0.3485 | 1.947 |
RF Phy Residual | 0.6819 | 0.8960 |
RF GE | 0.7276 | 0.7910 |