2021
DOI: 10.1504/ijcistudies.2021.10036522
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Feature selection on educational data using Boruta algorithm

Abstract: Data mining in education deals with formulating strategies for students with the aim to increase the parameters affecting the learning and employability. It also helps the educational institutes in maintaining their reputation as it is directly linked to the student's grades. We need to identify the parameters involved in learning and the relationship among those parameters. In EDM, feature selection (FS) is one of the most important and needed method in EDM, as it removes the features which have no direct lin… Show more

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