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

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