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Waikato Environment for Knowledge Analysis (Weka) is a collection of machine learning and data analysis free software licensed under the GNU General Public License. It was developed at the University of Waikato , New Zealand and is the companion software to the book "Data Mining: Practical Machine Learning Tools and Techniques".
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Weka is part of machine learning curriculum in many universities. It is also among the few openly available toolkits to test machine learning algorithms (bayes, j48, ZeroR, OneR) on sample data sets, create models and apply the learnt models on new test sets of data.
Weka – machine-learning algorithms that can be integrated in KNIME; ELKI – data mining framework with many clustering algorithms; Keras - neural network library; Orange - an open-source data visualization, machine learning and data mining toolkit with a similar visual programming front-end; List of free and open-source software packages
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This is a list of free and open-source software (FOSS) packages, computer software licensed under free software licenses and open-source licenses. Software that fits the Free Software Definition may be more appropriately called free software ; the GNU project in particular objects to their works being referred to as open-source . [ 1 ]
The weka is a species of New Zealand bird. Weka may also refer to: Weka (machine learning), a suite of machine learning software written at the University of Waikato; Weka, an unofficial unit prefix; WEKA-LD, a low-power television station (channel 26, virtual 41) licensed to serve Canton, Ohio, United States
The accompanying webpage collects feature selection related links, references, documentation and the original FST1 available for download. In 2011, an update of FST3 to version 3.1 included new methods (particularly a novel dependency-aware feature ranking suitable for very-high-dimension recognition problems) and core code improvements.