The precision in state of the art text classification is approaching the level where a handful of individual classification errors in the evaluation corpus can threaten to dominate over the error rate of the filter in a technology evaluation.
the result from an experiment with an ideal 100% accurate classifier would be reported as something like 99.5% because of classification errors in the corpus -thus, it is not implausible to think that a less accurate classifier could win an evaluation.