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Training and validation sample ROC curves using different machine learning algorithms. The figure shows ROC curves for the training (2a) and validation data (2b) of simple logistic regression, best performing random forest algorithm, the best performing GLMridge algorithm, the best performing GLMLasso algorithm and the best performing logistic regression with elastic net penalty and synthetic minority oversampling technique (SMOTE) prior to analyses.
