I would like to know if makes sense running yellowbrick.features.FeatureImportances
with a RandomForestClassifier
model in order to find most influent features, and then fit a different model (e.g. MLPClassifier
) with them.
Unfortunately, FeatureImportances
doesn't support MLPClassifier
to find features. Docs can be checked here