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Improvement Description
add optimize_feature_selection option to classify-samples-ncv by adding recursive feature elimination to the inner loop of the nested CV training
Current Behavior
no correct way of performing feature elimination in classify-samples-ncv (see Q2 Forum post)
Proposed Behavior
allow for feature elimination procedure as in classify-samples with parameter optimize_feature_selection
Comments
Suggestion to enhance outputted average feature importance table by adding an additional column named "number of times feature was selected" to account for features being dropped/used in different folds.
The text was updated successfully, but these errors were encountered:
adamovanja
changed the title
add optimize_feature_selection option to classify-samples-ncv
add optimize_feature_selection option to classify-samples-ncv lang:python time:2|medium enhancement
Mar 31, 2021
adamovanja
changed the title
add optimize_feature_selection option to classify-samples-ncv lang:python time:2|medium enhancement
add optimize_feature_selection option to classify-samples-ncv
Mar 31, 2021
Improvement Description
add
optimize_feature_selection
option toclassify-samples-ncv
by adding recursive feature elimination to the inner loop of the nested CV trainingCurrent Behavior
no correct way of performing feature elimination in classify-samples-ncv (see Q2 Forum post)
Proposed Behavior
allow for feature elimination procedure as in classify-samples with parameter
optimize_feature_selection
Comments
References
The text was updated successfully, but these errors were encountered: