James McCaffrey walks you through whys and hows of using k-fold cross-validation to gauge the quality of your neural network values. Cross-validation is a process that can be used to estimate the ...

In this paper, we derive nonasymptotic error bounds for the Lasso estimator when the penalty parameter for the estimator is chosen using K-fold cross-validation. Our ...

A natural extension of the simple leave-one-out cross validation (CV) method is to allow the deletion of more than one observations. In this article, several notions of the multifold cross validation ...