docs: rfe-cv

mlr-org · Feb 21, 2023 · 4578455 · 4578455
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diff --git a/R/FSelectorRFECV.R b/R/FSelectorRFECV.R
@@ -4,9 +4,9 @@
 #' @name mlr_fselectors_rfecv
 #'
 #' @description
-#' Feature selection using the Recursive Feature Elimination with Cross-Validation (RFECV) algorithm.
+#' Feature selection using the Recursive Feature Elimination with Cross-Validation (RFE-CV) algorithm.
 #' See [FSelectorRFE] for a description of the base algorithm.
-#' RFECV runs a recursive feature elimination in each iteration of a cross-validation to determine the optimal number of features.
+#' RFE-CV runs a recursive feature elimination in each iteration of a cross-validation to determine the optimal number of features.
 #' Then a recursive feature elimination is run again on the complete dataset with the optimal number of features as the final feature set size.
 #' The performance of the optimal feature set is calculated on the complete data set and should not be reported as the performance of the final model.
 #' Only works with [mlr3::Learner]s that can calculate importance scores (see the section on optional extractors in [mlr3::Learner]).

diff --git a/man/mlr_fselectors_rfecv.Rd b/man/mlr_fselectors_rfecv.Rd