Ensemble methods – MOA

To ensemble, as the word suggests, is to view together, or at the same time. It is used to combine multiple learner algorithms, in order to obtain better results and performance. There are various techniques that you can use for an ensemble. Some commonly used ensemble techniques or classifiers include bagging, boosting, stacking, a bucket of models, and so on.

Massive Online Analysis (MOA) supports ensemble classifiers, such as accuracy weighted ensembles, accuracy updated ensembles, and many more. In this section, we will show you how to use the leveraging bagging algorithm:

  1. Open the Terminal and execute the following command:
java -cp moa.jar -javaagent:sizeofag-1.0.4.jar moa.gui.GUI
  1. Select the Classification ...

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