 ten subsets is common to reduce computational overhead. In the limit, when the test set is just a single item, the result is known as leave-one-out (LOO) cross-validation <span class="citation" data-cites="VehtariEtAl:2017">(<a href="#ref-VehtariEtAl:2017" role="doc-biblioref">Vehtari, Gelman, and Gabry 2017</a>)</span>.</p>
<p>Partitioning the data and reusing the partitions is very fiddly in the indexes and may not lead to even divisions of the data. It’s far easier to use random partitions, which supp