A) Average error of all classifiers and descriptors, B) ROC curves for Classification using AdaBoost and Bagging with intensity and CMYK&Hb&Lb&HSV&Lab colour model combination.
AUC results for low p/n data. Low p/n results for prediction accuracy using AUC as the performance metric for non-cross-validation results, 10-fold cross-validation and stratified 10-fold cross-valida
Reported here are the two contrasts. Two sets of p-values are reported. First, uncorrected and corrected p-values without the family risk for AD covariate, and p-values after adding the family risk co
