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On the training set and although this may be extremely unlikely in the actual world, this metric reveals the extent of error that the model had when it was fitted. Our implementation’s score is 1 larger than the one given in Tsoumakas et al., 2010. This extends it to deal with the degenerate case in which an instance has zero true labels. DET curves type a linear curve in normal deviate scale if the detection scores are usually (or close-to normally) distributed.
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