bootfs - Bootstrapped feature selection
نویسنده
چکیده
The usage of the package is illustrated for three classification algorithms: pamr (Prediction analysis for Microarrays, [3], implementation in pamr -Rpackage), rf boruta (Random forests with the Boruta algorithm for feature selection, [2], implementation in Boruta-R-package) and scad (Support Vector Machines with Smoothly Clipped Absolute Deviation feature selection, [4], implementation in the penalizedSVM R-package [1]). Also available feature selection methods (through penalizedSVM package) are 1norm for L1penalisation (LASSO), scad+L2 for Elastic-SCAD and DrHSVM for Elastic Net. First of all load the package:
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تاریخ انتشار 2012