EFS swMATH ID: 16126 Software Authors: Nikita Genze, Ursula Neumann Description: R package EFS. Provides a function to check the importance of a feature based on a dependent classification variable. An ensemble of correlation and importance measure tests are used to determine the normed importance value of all features. Combining these methods in one function (building the sum of the importance values) leads to a better tool for selecting most important features. This selection can also be viewed in a barplot using the barplot_fs() function and proved using an also provided function for a logistic regression model, namely logreg_test(). Homepage: https://cran.r-project.org/web/packages/EFS/index.html Source Code: https://github.com/cran/EFS Dependencies: R Keywords: CRAN; R package; Ensemble Feature Selection; EFS Related Software: mogavs; GenAlgo; gaselect; mlr; RWeka; CORElearn; caret; featurefinder; varSelRF; GeneSrF; spFSR; Boruta; FSelector; MXM; R; FSinR; CRAN; InteractiVenn; RepExplore; ProteoWizard Cited in: 1 Publication Cited by 3 Authors 1 Kelemen, Adam 1 Kelemen, Arpad G. 1 Liang, Yulan Cited in 1 Serial 1 Statistical Applications in Genetics and Molecular Biology Cited in 2 Fields 1 Statistics (62-XX) 1 Biology and other natural sciences (92-XX) Citations by Year