Figure 3.

Bootstrapped test-set ROC-AUC of all models trained to predict postoperative mRS-difference > 1, sorted by mean ROC-AUC. MLP is the top-performing model, and LR represents the logistic regression baseline model (both highlighted). mRS = modified Rankin Scale, ROC-AUC = area under Receiver Operating Characteristic curve, MLP = multilayer perceptron, GAM = generalized additive model, SVM = support vector machine, XGB = extreme gradient boosting, RF = Random Forest, KNN = k-nearest neighbors, LR = logistic regression, ET = Extremely Randomized Trees, QDA = quadratic discriminant analysis, LDA = linear discriminant analysis.