Conclusions
REGRESSION
The XGBoost model proved to be an effective algorithm with better prediction abilities. This model is proposed to support better decision‐making for nonmetastatic CC patients in the future.In the training cohort, the extreme gradient boosting (XGBoost) prediction model showed the best performance as compared to the other three prediction models. In the validation cohort, the XGBoost model also demonstrated a superior prediction ability than the logistic regression model and the prediction model using support vector machine algorithm, with no statistical significance was observed between the XGBoost model and the prediction model using random forest algorithm.
