Comments (1)
KulikDM
commented on June 8, 2024
Hi @Hellsice great question and I see your concern. The normalization of the decision scores was done since QMCD sometimes tends to identify the outlier class as having the lower scores. Normalizing allows for a simple test to flip the results if this happens. However, I myself have noticed that this simple test is not very robust and perhaps a better sense check would be to rather check the skewness of the scores' distribution and flip if it is highly skewed to the left. Will investigate this.
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