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Dark3clipse avatar Dark3clipse commented on August 19, 2024 1

Changed the label of this issue from bug to enhancement, where it may be useful in the future to create more clear explanations in the case of unexplained contributions > 1.

from argueview.

Dark3clipse avatar Dark3clipse commented on August 19, 2024

The unexplained contribution is simply the difference between the sum of the feature contributions and the prediction. While the prediction is contained within the percentage limits [-1, 1], the feature contributions are not. Hence, the difference is not either. Therefore it can occur that the unexplained contribution is over 100%.

That said, an absolute contribution that is larger than 1 indicates the underlying predictor is performing very badly and it is not clear if the current explanations are helpful to users to understand that the model is performing poorly.

from argueview.

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