AI_Regression
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资源简介：
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).
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CHU, CHIN-CHENG创建时间：
2025-03-24
