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Call me Mr Silly, but why not simply remove the suspect data from the result set and see how the model's prediction rate is affected? Or just re-run a new set of data that doesn't contain the suspect data-set? The fact that this was not even considered makes me look askance at the original paper. After all, one of the requirements of a scientific experiment is that it should be reproducible (and preferably modifiable).