本研究採用教育測驗資料，以十折交互驗證最小誤差平方法，比較兩種脊迴歸模式；新近被提出漸近最小迴歸係數離差均方脊迴歸模式（MS 法）, 及眾所週知之HK 脊迴歸模式（HK 法）與傳統常用之複線性迴歸模式（MT 法），實驗結果顯示MS 脊迴歸模式有最佳之表現，並再度驗證HK 脊迴歸模式優於傳統常用之複線性迴歸模式。 In this study, an educational testing data experiment by using a 10-fold cross-validation mean square error (MSE) is conducted. The performances of two ridge regression models, the new proposed MS ridge model and the well-known HK ridge model, and the traditional multiple linear regression model, MT model, are compared. Experimental result shows that the MS ridge model has the best performance, and the HK ridge model is better than the traditional multiple linear regression model, MT model.
