Fig. 4

Matrice of confusion of the models: The confusion matrix describes the performance of each classification model. For example, the Catboost model has a balanced prediction with 44 false negatives (patient that will require neurosurgery but not identified by the model) and 68 false positives (patient that will not require neurosurgery but identified by the model as requiring emergency neurosurgery)