Fig. 8From: Identification of relevant features using SEQENS to improve supervised machine learning models predicting AML treatment outcomeROC curves computed for the H12O+LAFE dataset using XGBoost through 5-fold cross-validation at different time horizons, using all variables (blue) and selected variables (orange). In each case, the mean ROC-AUC with 95% confidence interval is shownBack to article page
