AI_Regression
收藏DataCite Commons2025-04-01 更新2025-05-07 收录
下载链接：
https://figshare.com/articles/dataset/AI_Regression/28650476/1
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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).
提供机构：
figshare
创建时间：
2025-03-24
