AI_Regression

This study used three representative machine learning regression algorithms to perform regression analysis of SSQ-TS scores, namely: K-Nearest Neighbors (KNN) regressor, Extreme Gradient Boosting (XGBoost) regressor, and Random Forest (RF) regressor. The prediction performance of each model is evaluated and compared through three commonly used evaluation indicators: coefficient of determination (R²), mean square error (MSE) and root mean square error (RMSE).