Fig. 1
From: Machine learning to predict hemorrhage and thrombosis during extracorporeal membrane oxygenation
Performance of machine learning models. DT decision trees, kNN k-nearest neighbor, LR logistic regression, RF random forest, RFE recursive feature elimination