Cross-Validation divides the dataset into "k" subsets, or _______, where one subset is used as the validation set, and the rest are used for training.
- clusters
- folds
- groups
- partitions
Cross-Validation involves dividing the dataset into "k" subsets, referred to as "folds." One fold is used as the validation set, while the remaining are used for training. This process is repeated k times, with each fold being used exactly once as the validation set.
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