<frame title="CrossValidation">
        <list>
        <e>Learned from DMC: Crossvalidation is important</e>
<e>Rarely found in Anomaly Detection, why?</e>
<e>A bit more complicated (not all samples are equal), but no reason why not</e>
<e>->So I implemented it into yano</e>
<l2st>
<e>folding only on normal data</e>
<e>How to handle anomalies?</e>
<e>If not folding them, cross-validation less useful</e>
<e>if folding them, often rare anomalies even more rare</e>
<e>->test set always 50\% anomalous</e>
<e>->Also improves simple evaluation metrics (accuracy)</e>
</l2st>
<e>Do you know a reason why Cross Validation is not common in AD?</e>
<e>Are there Problems with the way I fold my Anomalies?</e>
        </list>
        </frame>