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cran
binomialRF:Binomial Random Forest Feature Selection
The 'binomialRF' is a new feature selection technique for decision trees that aims at providing an alternative approach to identify significant feature subsets using binomial distributional assumptions (Rachid Zaim, S., et al. (2019)) <doi:10.1101/681973>. Treating each splitting variable selection as a set of exchangeable correlated Bernoulli trials, 'binomialRF' then tests whether a feature is selected more often than by random chance.
Maintained by Samir Rachid Zaim. Last updated 5 years ago.
softwaregenepredictionstatisticalmethoddecisiontreedimensionreductionexperimentaldesign
2.70 score