case2/data/008AUC Score.txt

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<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>