Kaggle / Kaggle/learntools

k-fold CV vs static test split

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Hi,
I have a question about the cross-validation method, as I understand, it is used to evaluate machine learning models on a random test set. Hence, I think we cannot apply it when having a static test set as provided by competitions. Because submitted models must be evaluated on the same testing data to be compared against each other. Correct me if I am wrong plz
thank u

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