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## Package weka.classifiers

Interface Summary
IterativeClassifier | Interface for classifiers that can induce models of growing complexity one step at a time.
Sourcable | Interface for classifiers that can be converted to Java source.
UpdateableClassifier | Interface to incremental classification models that can learn using one instance at a time.

Class Summary
BVDecompose | Class for performing a Bias-Variance decomposition on any classifier using the method specified in:
BVDecomposeSegCVSub | This class performs Bias-Variance decomposion on any classifier using the sub-sampled cross-validation procedure as specified in:
CheckClassifier | Class for examining the capabilities and finding problems with classifiers.
CheckClassifier.PostProcessor | a class for postprocessing the test-data
Classifier | Abstract classifier.
CostMatrix | Class for storing and manipulating a misclassification cost matrix.
Evaluation | Class for evaluating machine learning models.
IteratedSingleClassifierEnhancer | Abstract utility class for handling settings common to meta classifiers that build an ensemble from a single base learner.
MultipleClassifiersCombiner | Abstract utility class for handling settings common to meta classifiers that build an ensemble from multiple classifiers.
RandomizableClassifier | Abstract utility class for handling settings common to randomizable classifiers.
RandomizableIteratedSingleClassifierEnhancer | Abstract utility class for handling settings common to randomizable meta classifiers that build an ensemble from a single base learner.
RandomizableMultipleClassifiersCombiner | Abstract utility class for handling settings common to randomizable meta classifiers that build an ensemble from multiple classifiers based on a given random number seed.
RandomizableSingleClassifierEnhancer | Abstract utility class for handling settings common to randomizable meta classifiers that build an ensemble from a single base learner.
SingleClassifierEnhancer | Abstract utility class for handling settings common to meta classifiers that use a single base learner.

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