samples. The test statistic is the weighted AUC (WAUC).</p>
    </div>
    <div id="notes">
    <h2>Notes</h2>
    

<p>The outlier scores should all mimic out-of-sample behaviour. Mind that the
training scores are not in-sample and thus, biased (overfitted) while the
test scores are out-of-sample. The mismatch -- in-sample versus out-of-sample
scores -- voids the test validity. A simple fix for this is to get the
training scores from an indepedent (fresh) validation set; this follows
the train/validation/t