python - How can I find if a selected feature's values have increased in a pre-post feature selection study? -


i have set of features pre , post intervention values, , i'm running feature selection methods find informative ones , know features improved after intervention.

my question ¿is there way know if selected features have bigger or lower value after intervention?

i using following scikit-learn methods: - gradientboostingclassifier - linearsvc - variancethreshold - selectkbest - randomforestclassifier - rfecv - extratreesclassifier

i guess results of selection show me ones informative, i.e. significant in order differentiate between before , after intervention, cannot find if significance means improved or diminished. scikit-learn provide way this?

thank much.


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