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by Scene_Cast2
403 days ago
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For binary labels: you take a slice of labeled data. The mean of the ML model prediction on this data is different from the mean of the label. In practice, often a synonym for "loss is worse / could be better". Not sure if that's what the GP meant, I only worked with binary labels stuff. |
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