IReducing the classification model's fit to the training data (i.e., building a simpler model that fits this data less closely) *may* help. Also, if you have *prior* knowledge implying that a predictor attribute behaves differently in the test data than in the rest of the data, it might be better to remove it from the data.
Cheers,
Eibe
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