For questions related to the k-fold cross-validation technique, where you split the dataset into k folds (subsets), train the model on k - 1 of these folds and test it on the remaining (test) fold; then repeat this procedure for each of the k folds, such that we compute the test performance for each fold; finally, we can average these test performances.

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