Table 15 Mean 5-Fold cross-validation ROC-AUC of models trained with all variables (left number) versus models trained with the selected subsets for each scenario (right number). The direction of arrows between both numbers indicates if the score has increased (\( \nearrow \)), maintained (the difference is less than 0.01) (\( \to \)) or decreased (\( \searrow \))

From: Identification of relevant features using SEQENS to improve supervised machine learning models predicting AML treatment outcome