Boruta: A wrapper algorithm for all-relevant feature selection. Boruta is an all-relevant feature selection wrapper algorithm. It finds relevant features by comparing original attributes’ importance with importance achievable at random, estimated using their permuted copies.
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References in zbMATH (referenced in 3 articles )
Showing results 1 to 3 of 3.
- Nguyen, Thanh-Tung; Huang, Joshua Z.; Nguyen, Thuy Thi: Two-level quantile regression forests for bias correction in range prediction (2015)
- Weihs, Claus; Mersmann, Olaf; Ligges, Uwe: Foundations of statistical algorithms. With references to R packages (2014)
- Kursa, Miron B.; Jankowski, Aleksander; Rudnicki, Witold R.: Boruta -- a system for feature selection (2010)