Class for generating an alternating decision tree. For further options, click the 'More' - button in the dialog. All weka dialogs…

AODE achieves highly accurate classification by averaging over all of a small space of alternative naive-Bayes-like models. For f…

Class for boosting a nominal class classifier using the Adaboost M1 method. For further options, click the 'More' - button in the…

Meta classifier that enhances the performance of a regression base classifier. For further options, click the 'More' - button in …

Class implementing an Apriori-type algorithm. For further options, click the 'More' - button in the dialog. All weka dialogs have…

Dimensionality of training and test data is reduced by attribute selection before being passed on to a classifier. For further op…

Class for building a best-first decision tree classifier. For further options, click the 'More' - button in the dialog. All weka …

Class for bagging a classifier to reduce variance. For further options, click the 'More' - button in the dialog. All weka dialogs…

Bayes Network learning using various search algorithms and quality measures. For further options, click the 'More' - button in th…

Class for performing parameter selection by cross-validation for any classifier. For further options, click the 'More' - button i…

A meta classifier for handling multi-class datasets with 2-class classifiers by building a random class-balanced tree structure. …

Class for doing classification using regression methods. For further options, click the 'More' - button in the dialog. All weka d…

Class for building and using a Complement class Naive Bayes classifier. For further options, click the 'More' - button in the dia…

This class implements a single conjunctive rule learner* that can predict for numeric and nominal class labels. For further optio…

A metaclassifier that makes its base classifier cost-sensitive. For further options, click the 'More' - button in the dialog. All…

Martin Ester, Hans-Peter Kriegel, Joerg Sander, Xiaowei Xu: A Density-Based Algorithm for Discovering Clusters in Large Spatial D…

This meta classifier creates a number of disjoint, stratified folds out of the data and feeds each chunk of data to a copy of the…

A meta classifier for handling multi-class datasets with 2-class classifiers by building a random data-balanced tree structure. F…

Class for building and using a decision stump. For further options, click the 'More' - button in the dialog. All weka dialogs hav…

Class for building and using a simple decision table majority classifier. For further options, click the 'More' - button in the d…