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Other links at Problem Solving > Decision Trees
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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DTREG generates a Decision Tree Forest that is an ensemble (collection) of decision trees whose predictions are combined to make the overall prediction for the forest.
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Presents a worked example to explain the theory.
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splitting as used in decision tree segmentation.
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This paper addresses the problem of decision tree construction in mining streaming data and introduces two new techniques that improve the efficiency of Domingos and Hulten algorithm.
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