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James McCaffrey walks you through whys and hows of using k-fold cross-validation to gauge the quality of your neural network values.
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Why You Shouldn’t Always Use K-Fold Cross Validation

K-Fold cross validation is popular in machine learning, but it’s not always the best choice. Discover the limitations and pitfalls of K-Fold CV, and learn when alternative validation methods might ...
Concepts of ν-fold cross-validation and repeated learning-testing methods have been introduced here. In many problems, these methods are computationally much less expensive than ordinary ...