(For MLPD, all the available data are used. For SLPD, only the MRI features are used. The best value for each performance measure is highlighted in bold. The value in the parenthesis is the standard d
Precision for global scores, obtained from the three statistical methods, and existing IS for each country-based data sets (S/U/S: Spain/UK/Switzerland; LDA: Linear Discriminant Analysis; LogReg: Logi
EPU is compared with its three component classifiers Multi-level Support Vector Machine (MSVM), Weighted Naïve Bayes (WNB) and Weighted K-Nearest Neighbor (KNN) on 6 disease groups. WKNN(3) is an inst
Groupwise repeated measure MANOVA table combining all three performance measures of all 10 classifiers in the original 15D feature space vs. the 7D reduced feature space.
