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Description
I've tried to compare three methods of Multilabel Classification by Random Forest. I wanted to check wich method will be the best MultiOutputClassifier, ClassifierChain or native multilabel RandomForestClassifier. To my surprise, all the results were identical. What is wrong then, since when I do the same calculations using sklearn I get different results. Could you help me.
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Python and package version
- Python:
import sys; sys.version - ATOM:
import atom; atom.__version__
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