Exploring the Impact of Purity Gap Gain on the Efficiency and Effectiveness of Random Forest Feature Selection

Mandlenkosi Victor Gwetu, Jules-Raymond Tapamo, Serestina Viriri. Exploring the Impact of Purity Gap Gain on the Efficiency and Effectiveness of Random Forest Feature Selection. In Ngoc Thanh Nguyen, Richard Chbeir, Ernesto Exposito, Philippe Aniorté, Bogdan Trawinski, editors, Computational Collective Intelligence - 11th International Conference, ICCCI 2019, Hendaye, France, September 4-6, 2019, Proceedings, Part I. Volume 11683 of Lecture Notes in Computer Science, pages 340-352, Springer, 2019. [doi]

Abstract

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