Search Java Classes and Packages
#Weka.classifiers.meta Classes and Interfaces - 17 results found.
| Name | Description | Type | Package | Framework |
| AdaBoostM1 | Class for boosting a nominal class classifier using the Adaboost M1 method. | Class | weka.classifiers.meta | Weka |
| AdditiveRegression | Meta classifier that enhances the performance of a regression base classifier. | Class | weka.classifiers.meta | Weka |
| AttributeSelectedClassifier | Dimensionality of training and test data is reduced by attribute selection before being passed on to a classifier. | Class | weka.classifiers.meta | Weka |
| Bagging | Class for bagging a classifier to reduce variance. | Class | weka.classifiers.meta | Weka |
| ClassificationViaRegression | Class for doing classification using regression methods. | Class | weka.classifiers.meta | Weka |
| CostSensitiveClassifier | A metaclassifier that makes its base classifier cost-sensitive. | Class | weka.classifiers.meta | Weka |
| CVParameterSelection | Class for performing parameter selection by cross-validation for any classifier. | Class | weka.classifiers.meta | Weka |
| MultiClassClassifier | A metaclassifier for handling multi-class datasets with 2-class classifiers. | Class | weka.classifiers.meta | Weka |
| MultiClassClassifierUpdateable | A metaclassifier for handling multi-class datasets with 2-class classifiers. | Class | weka.classifiers.meta | Weka |
| MultiScheme | Class for selecting a classifier from among several using cross validation on the training data or the performance on the training data. | Class | weka.classifiers.meta | Weka |
| RandomCommittee | Class for building an ensemble of randomizable base classifiers. | Class | weka.classifiers.meta | Weka |
| RandomizableFilteredClassifier | Class for running an arbitrary classifier on data that has been passed through an arbitrary filter. | Class | weka.classifiers.meta | Weka |
| RandomSubSpace | This method constructs a decision tree based classifier that maintains highest accuracy on training data and improves on generalization accuracy as it grows in complexity. | Class | weka.classifiers.meta | Weka |
| RegressionByDiscretization | A regression scheme that employs any classifier on a copy of the data that has the class attribute (equal-width) discretized. | Class | weka.classifiers.meta | Weka |
| Stacking | Combines several classifiers using the stacking method. | Class | weka.classifiers.meta | Weka |
| Vote | Class for combining classifiers. | Class | weka.classifiers.meta | Weka |
| WeightedInstancesHandlerWrapper | Generic wrapper around any classifier to enable weighted instances support. | Class | weka.classifiers.meta | Weka |