 two
machine learning model metrics (e.g., classification accuracy) are not
independent (and therefore are correlated), such as in the case of
resampling and <span class="math inline">\(k\)</span>-fold
cross-validation. We demonstrate the basic functionality here using some
trivial examples for the following corrected tests that are currently
implemented in <code>correctR</code>:</p>
<ul>
<li>Random subsampling</li>
<li>
<span class="math inline">\(k\)</span>-fold cross-validation</li>
<li>Repeated <span cl