Robust predictors for drug response of patients with acute myeloid leukemia
Fig 2
Comparative accuracy of kTSP, random forest, linear and RBF kernel SVM and elastic net regression classifiers in terms of sensitivity, specificity, balanced accuracy and Area Under the ROC Curve (AUROC) for single and venetoclax containing combination drug response prediction when the training data is balanced (with SMOTE method) and not balanced (A) For individual drug (B stands for Balanced and NB stands for Not Balanced in y-axis).
(B) All drugs together.