Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.

The classes which can be used for combining the predictions of heterogeneous ensemble are listed below:

• weka.classifiers.meta.Vote
• weka.classifiers.meta.MultiScheme
• weka.classifiers.meta.Stacking
• weka.classifiers.meta.StackingC
• weka.classifiers.meta.Grading

Source: Weka FAQ

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