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{{Wikify|August 2007}}
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Many factors affect the success of Machine Learning
(ML) on a given task. The representation and quality of the instance
[[data]] is first and foremost (Pyle, 1999). If there is much irrelevant and redundant
information present or noisy and unreliable data, then knowledge
discovery during the training phase is more difficult. It is well known
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