MOESM1 of Assessing stroke severity using electronic health record data: a machine learning approach

Additional file 1: Table S1. Random Forest Hyperparameters. The parameters of the final model which were obtained through hyperparameter optimization are presented here. Table S2. List of Final Model Features. Here, features are ranked by the expected fraction of the samples they contribute to as a measure of feature importance.