Machine learning algorithms for data mining tasks
DescriptionWeka is a collection of machine learning algorithms in Java that can either be used from the command-line, or called from your own Java code. Weka is also ideally suited for developing new machine learning schemes. Implemented schemes cover decision tree inducers, rule learners, model tree generators, support vector machines, locally weighted regression, instance-based learning, bagging, boosting, and stacking. Also included are clustering methods, and an association rule learner. Apart from actual learning schemes, Weka also contains a large variety of tools that can be used for pre-processing datasets. This package contains the binaries and examples.
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Install this software package
If the package is available for the distribution you are currently using on your computer then install the software by clicking on…Install weka