Question: In K - fold cross - validation, the dataset is split into K groups. Each group is used as the held - out group once

In K-fold cross-validation, the dataset is split into K groups. Each group is used as the held-out group once for evaluation, while the remaining K-1 groups are used for training the model.
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In K - fold cross - validation, the dataset is

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