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| Packages that use RandomizableClassifier | |
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| weka.classifiers.mi | |
| weka.classifiers.trees | |
| Uses of RandomizableClassifier in weka.classifiers.mi |
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| Subclasses of RandomizableClassifier in weka.classifiers.mi | |
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class |
MIEMDD
EMDD model builds heavily upon Dietterich's Diverse Density (DD) algorithm. It is a general framework for MI learning of converting the MI problem to a single-instance setting using EM. |
| Uses of RandomizableClassifier in weka.classifiers.trees |
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| Subclasses of RandomizableClassifier in weka.classifiers.trees | |
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class |
BFTree
Class for building a best-first decision tree classifier. |
class |
SimpleCart
Class implementing minimal cost-complexity pruning. Note when dealing with missing values, use "fractional instances" method instead of surrogate split method. For more information, see: Leo Breiman, Jerome H. |
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