New Release of MOA 20.12

We’ve made a new release of MOA 20.12

The new features of this release are:

  • kNN Regression
    • On Ensemble Techniques for Data Stream Regression.
      H M Gomes, J Montiel, S M Mastelini, B Pfahringer, A Bifet. International Joint Conference on Neural Networks (IJCNN), 2020.
  • New Feature Analysis tab
  • New Feature Importance algorithms
    • Feature Scoring using Tree-Based Ensembles for Evolving Data Streams.
      H M Gomes, R Mello, B Pfahringer, A Bifet. IEEE Big Data, 2019.
  • New meta-classifiers for imbalanced classification
    • C-SMOTE: Continuous Synthetic Minority Oversampling for Evolving Data Streams.
      A Bernardo, H M Gomes, J Montiel, B Pfahringer, A Bifet, E D Valle. IEEE Big Data, 2020.
  • Meta-task for exporting the results of a task as a Jupyter notebook.
  • Bug fixes

You can find the download link for this release on the MOA homepage.


The MOA Team