Weka (Waikato Environment for Knowledge Analysis) is a machine learning application developed by Waikato University of New Zealand. Weka is developed using Java plaftorm, thus it can run on multiplatform operating system.
Weka has some features you may find interesting : - it consists of several set of learning algorithms that you can applied directly to your sample dataset.
- data preparation (preprocessing) tools.
- learned models can be benchmarked using a same dataset to test prediction accuracy between the models.
- etc
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