<p>Please do another site name poll and include the possibility of learnedmachine.com or something more up to date.  Cross-validation is only an <a href="https://arxiv.org/pdf/1905.08737v1.pdf" rel="nofollow noreferrer">approximation</a> to Bayesian inference, and the five-fold method, although popular, has some serious flaws.</p>
<p>In particular, the size of the validation set should never be smaller than the size of the training set (see <a href="https://stats.stackexchange.com/a/491268/272731">here</a> for details).  A good rule of thumb is to make the training set <span class="math-container">$n^{3/4}$</span> when <span class="math-container">$n$</span> is the overall size of the training/validation data.</p>
<p>That makes both the name and the site logo representative of a currently wasteful/inefficient and ineffective practice, for which I personally do not advocate.  True Bayesian optimization is always more efficient; see and contribute to <a href="https://github.com/brethvoice/optuna_demo_MNIST" rel="nofollow noreferrer">this</a> demo example if you have time and/or interest.</p>
