Bias-Variance Trade off (1) 썸네일형 리스트형 [R] Assessing Model Accuracy 1. How do we assess model accuracy? Quantitative : MSE(mean squared error) Qualitative : Classification error rate Type of dataset Training set : To fit statistical learning models Validation set : To select optimal tuning parameter Test set : To select the best model 2. MSE(Mean Squared Error) Suppose our fitted model \(\hat{f}(x)\) from training dataset, \((x_i, y_i)\). \(MSE_{train} = \frac{1.. 이전 1 다음
