<a href="https://kaggle.com">Kaggle</a>.</p>
<p>Cross-validation involves repeated held-out evaluations performed by partitioning a single data set in different ways. The training/test split can be done either by randomly selecting the test set, or by partitioning the data set into several equally-sized subsets and then using each subset in turn as the test data with the other folds as training data.</p>
<p>Held-out evaluation and cross-validation may involve any kind of predictive statistics, with common c