Table 6.

Predicting performance of weighted voting meta-predictors with restricted grid search of parameters

	Sensitivity	Specificity	Accuracy	MCC
CDK	0.912	0.832	0.864	0.730 (0.19)*
CK2	0.878	0.904	0.893	0.779 (0.027)*
PKA	0.883	0.828	0.850	0.699 (0.014)*
PKC	0.773	0.791	0.784	0.558 (0.011)*

Predicting performance assessed on MetaPS06 datasets.

*P-values in Fisher's Z-transformation test (compared with the MCC of the best element predictor) are shown in parentheses.