Performance results for the XGBoost calibrated model using clinical variables and chief complaint against the reference model (triage priority) and respective hyperparameters.
收藏Figshare2020-04-02 更新2026-04-28 收录
下载链接：
https://figshare.com/articles/dataset/Performance_results_for_the_XGBoost_calibrated_model_using_clinical_variables_and_chief_complaint_against_the_reference_model_triage_priority_and_respective_hyperparameters_/12069957
下载链接
链接失效反馈官方服务：
资源简介：
AUROC was the performance measure for hyperparameter tuning and best model selection in train. The hyperparameters not mentioned in the table were the default in XGBClassifier from Python version 3.7.
创建时间：
2020-04-02
