Table 3 Prediction accuracy of single predictors models in terms of AUC from 5-fold 20 CV
Model1Mean AUC2SD3Proportion of times model in row (column) had AUC > model in column (row) over 20 CV
AgeTmzSNPMethGeCNVAge +
TmzAge +
Tmz + SNPAge +
Tmz + MethAge + Tmz + GeAge + Tmz + CNVAge + Tmz + Ge + Meth + SNP + CNV
Age0.6640.0360.75>0.950.88>0.95>0.950.290.290.210.080.170.08
Tmz0.6060.0750.270.670.420.630.71<0.05<0.05<0.05<0.05<0.05<0.05
SNP0.5390.014<0.050.33<0.05<0.050.50<0.05<0.05<0.05<0.05<0.05<0.05
Meth0.6230.0590.130.58>0.950.67>0.95<0.05<0.05<0.05<0.05<0.05<0.05
Ge0.5930.045<0.050.38>0.950.33>0.95<0.05<0.05<0.05<0.05<0.05<0.05
CNV0.5470.020<0.050.290.50<0.050.04<0.05<0.05<0.05<0.05<0.05<0.05
  • 1 Models used for analysis, described on Table 2; 2Mean of prediction accuracy measured by AUC by using 20 5-fold cross-validations for each model; 3Standard deviation of AUC.