前言交叉驗證又稱為樣本外測試，是資料科學中重要的一環。透過資料間的重複採樣過程，用於評估機器學習模型並驗證模型對獨立測試數據集的泛化能力。 ... <看更多>

Split X, y into 3 sets, X_train, X_test (note no validation set here since we will be splitting X_train into 5 folds). · X_train is further split ... ... <看更多>

... then fitting and training the model, I want to use k-fold cross validation. But sklearn KFold does not seem to tolerate my input X_train ... ... <看更多>

K-Fold-Cross-Validation. K -Fold Cross Vaidation is one of the known Resampling method used for estimating the test error rate.In this technique, the data ... ... <看更多>