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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". [1]
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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]
Auto-WEKA is an automated machine learning system based on Weka by Chris Thornton, Frank Hutter, Holger H. Hoos and Kevin Leyton-Brown. [1] An extended version was published as Auto-WEKA 2.0. [2] Auto-WEKA was named the first prominent AutoML system in a neutral comparison study. [3] It received the test-of-time award of the SIGKDD conference ...
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Windows 7, Windows 8, Windows 8.1, Windows 10 266 MHz or faster computer processor 1024 x 768 or higher screen resolution recommended 1 GB RAM, 512 MB free hard disk space Internet connection
Many tools have been developed surrounding the reporting engine, including GUI designers and ad hoc wizards that guide the user through a step-by-step process of creating a report, using solely graphical tools without the need to write any code. Pentaho Data Mining: EE, CE: Desktop application: Weka
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