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ZeroR classifiers are arguably one of the fundamental machine studying classifers. They’re largely worthless in prediction tasks, although that does not prevent their use going unchallenged in papers where they’re clearly unfit for purpose, including some respected journals. For example, if 1% of oranges are unhealthy and also you need a machine learning classifier to sort out good organes from bad oranges, the ZeroR classifier will predict that all oranges nearly as good (the bulk class). That interprets to 99% accuracy, as a result of ninety nine instances out of 100, the classifer acquired it proper.

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