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Meta Decision Trees are a novel method for combining multiple classifiers. MDT leaves specify which base-level classifier should be used, instead of predicting the class value directly.
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Meta Decision Trees are a novel method for combining multiple classifiers. The difference meta and ordinary decision trees (ODTs) is that MDT leaves specify which base-level should be used, instead
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Date Added: Jun 29, 2009 Hits: Rating: 0.00 Votes: 0

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Tutorial Slides by Andrew Moore. A self-contained introduction to the flavor and terminology of data mining.
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The Decision Tree is one of the most popular classification algorithms in current use in Data Mining and Machine Learning. This tutorial can be used as a self-contained introduction to the flavor
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Date Added: Jun 29, 2009 Hits: Rating: 0.00 Votes: 0

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