Fig. 1

Classification accuracy from cross- and out-of-sample validation of four different machine learning algorithms. Coloured points (blue four-feature models; orange six-feature models) represent out-of-sample accuracy witherror bars of ±1 SD. Red bars represent cross-validation accuracy for each associated model. SL super learner, RF random forest, GBM gradient boosting model, LR logistic regression