Weka is a collection of machine learning al gorithms for data mining tasks. The algorithms can either be applied directly to a dataset or ca lled from your own Java code. Weka contains tool 's for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for d eveloping new machine learning schemes. can be a real Categories are various methods of software, using all the attributes of objects. Decision Tree, distance, density, etc.

Weka-3-2
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........\DATA
........\....\contact-lenses.arff
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........\....\iris.arff
........\....\labor.arff
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........\...\package-weka.associations.html
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........\...\package-weka.classifiers.adtree.html
........\...\package-weka.classifiers.evaluation.html
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........\...\weka.associations.ItemSet.html
........\...\weka.attributeSelection.ASEvaluation.html
........\...\weka.attributeSelection.ASSearch.html

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