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Use for data science questions related to the programming language Python. Not intended for general coding questions (which should be asked on Stack Overflow).

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Python - Feature Selection - Should I remove bad variables?

Assuming your features are df[X] and your target is df[y], I would just do the following: keepfeatures = X[trained_model.feature_importances_ > 0] keepfeatures.append(y) df = df[keepfeatures]
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