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More insights on the classification performance of logistic regression (LR) and extreme gradient boosting (XGB) models. a) Receiver operating characteristics (ROC) curve for the models against random guess (RG). b) AUC performance for RL and XGB accross different shock onset horizons. c) and e) SHAP values for LR and XGB respectively. d) and f) Mean absolute SHAP values for LR and XGB respectively.
