On the Consistency of Information Filters for Lazy Learning Algorithms

  title={On the Consistency of Information Filters for Lazy Learning Algorithms},
  author={Henry Brighton and Chris Mellish},
A common practice when ltering a case-base is to employ a ltering scheme that decides which cases to delete, as well as how many cases to delete, such that the storage requirements are minimized and the classiication competence is preserved or improved. We introduce an algorithm that rivals the most successful existing algorithm in the average case when ltering 30 classiication problems. Neither algorithm consistently outperforms the other, with each performing well on diierent problems. We… CONTINUE READING
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