8000 DOC Revises a sentence in the description of RFE by des137 · Pull Request #19033 · scikit-learn/scikit-learn · GitHub
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DOC Revises a sentence in the description of RFE #19033

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4 changes: 2 additions & 2 deletions doc/modules/feature_selection.rst
Original file line number Diff line number Diff line change
Expand Up @@ -119,12 +119,12 @@ Recursive feature elimination
=============================

Given an external estimator that assigns weights to features (e.g., the
coefficients of a linear model), recursive feature elimination (:class:`RFE`)
coefficients of a linear model), the goal of recursive feature elimination (:class:`RFE`)
is to select features by recursively considering smaller and smaller sets of
features. First, the estimator is trained on the initial set of features and
the importance of each feature is obtained either through any specific attribute
(such as ``coef_``, ``feature_importances_``) or callable. Then, the least important
features are pruned from current set of features.That procedure is recursively
features are pruned from current set of features. That procedure is recursively
repeated on the pruned set until the desired number of features to select is
eventually reached.

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