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There can be other reasons related to the model but the most simple explanation is that the data contains contradicting patterns: if the same features correspond to different target values, there is no way for any model to achieve perfect performance. Let me illustrate with a toy example: x y 0 4 0 4 1 3 1 4 1 3 1 3 2 8 2 7 2 7 2 6 ...


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