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Results tagged with k-fold-cv
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user 3579
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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Is k-fold cross-validation more effective than splitting the dataset into training and test ...
Both methods are fine if used properly. As a rule of thumb, when training time is not an issue, use split method if you have more data than you can use in your model and cross-validation if not. I wou …
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