For questions related to the cross-validation techniques (e.g. k-fold cross-validation or leave-one-out cross-validation) used in machine learning to assess the quality (e.g. average accuracy) of the models.
Questions tagged [cross-validation]
45 questions
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Can we say: the more we increase the numbers of cross validation the less likely it is that we overfit?
Based on the answer of my previous question:
How can I avoid overfitting when doing parameter tuning?
Can we say: the more we increase the numbers K of cross validation the less likely it is that we overfit?
jennifer ruurs
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What is a result of a cross validation process?
I am trying to determine the result of a cross validation process. Is it just a set of standalone models which is produced after each cross-validation round, or is there some kind of final model which is "aware" of all the models created by the…
Igor
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