James McCaffrey walks you through whys and hows of using k-fold cross-validation to gauge the quality of your neural network values.

K-Fold cross validation is popular in machine learning, but it’s not always the best choice. Discover the limitations and ...

Choosing the right cross-validation technique is crucial for building reliable machine learning models. In this video, we explore popular methods like k-fold, stratified k-fold, leave-one-out, and ...

In the context of variable selection under a linear regression model, we show that the delete-d MCV criterion is asymptotically equivalent to the well known FPE criterion. Two computationally more ...