Package | Description |
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weka.classifiers.meta | |
weka.classifiers.meta.nestedDichotomies | |
weka.classifiers.trees |
Class and Description |
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AdaBoostM1
Class for boosting a nominal class classifier using the Adaboost M1 method.
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GridSearch.Grid
for generating the parameter pairs in a grid
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GridSearch.Performance
A helper class for storing the performance of a values-pair.
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GridSearch.PerformanceCache
Represents a simple cache for performance objects.
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GridSearch.PointDouble
a serializable version of Point2D.Double
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GridSearch.PointInt
a serializable version of Point
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RacedIncrementalLogitBoost.Committee
Class representing a committee of LogitBoosted models
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Stacking
Combines several classifiers using the stacking method.
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Vote
Class for combining classifiers.
|
Class and Description |
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FilteredClassifier
Class for running an arbitrary classifier on data that has been passed through an arbitrary filter.
|
Class and Description |
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Bagging
Class for bagging a classifier to reduce variance.
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