<frame title="AUC Score">
        <list>
        <e>calculcate with \emph{sklearn.metrics.roc\_auc\_score}</e>
<e>Higher AUC score->better</e>
<e>$AUC=1.0$->Perfect seperation</e>
<e>$AUC=0.5$->Random model</e>
<e>$AUC=0.0$->Inverse seperation (every anomaly is normal, and every normal sample is anomalous)</e>
        </list>
        </frame>