In a $10-$fold cross$-$validation procedure with a dataset of $500$ records, the dataset is divided into $10$ equal$-$sized subsets $($folds$).$ During each iteration of the cross$-$validation, $1$ fold is used for validation, and the remaining $9$ folds are used for training the model.

In a $10-$fold cross$-$validation procedure with a dataset of $500$ records, the dataset is divided into $10$ equal$-$sized subsets $($folds$).$ During each iteration of the cross$-$validation, $1$ fold is used for validation, and the remaining $9$ folds are used for training the model.