Keel Description
KEEL (Knowledge Extraction Based on Evolutionary Learning), is a Java open-source (GPLv3) Java software that can be used to perform a variety of knowledge data discovery tasks. KEEL is a simple GUI that uses data flow to design experiments using different datasets and computational algorithms (paying particular attention to evolutionary algorithms). This allows you to evaluate the behavior of the algorithms. It includes a variety of knowledge extraction algorithms, preprocessing methods (training set selection, feature choice, discretization, and imputation methods to missing values among others), computational intelligence-based learning algorithms, hybrid models, statistical methods for contrasting experiments, and so forth. It allows you to compare new proposals for computational intelligence with existing ones. KEEL was designed with two goals: education and research.
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