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ZeroR classifiers are arguably one of the crucial fundamental machine learning classifers. They’re largely nugatory in prediction tasks, though that does not prevent their use going unchallenged in papers where they’re clearly unfit for purpose, together with some reputable journals. For instance, if 1% of oranges are unhealthy and you desire a machine studying classifier to type out good organes from bad oranges, the ZeroR classifier will predict that each one oranges pretty much as good (the majority class). That interprets to ninety nine% accuracy, because 99 instances out of 100, the classifer acquired it right.
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