Average F1 Scores scikit-learn

I know there is f1_score metric to get all types of F1 scores (micro, macro, and weighted); however, I would like to be able to print micro averaged F1 score using classification_report of scikit-learn. By default, it seems to be returning weighted micro averaged F1. But I would like the micro averaged F1 in the classification_report. How do I do that?

Also, I know the difference in the formula between weighted and microaverages, but what are the instances where one would be preferred over other? And, what information do they convey?

Topic score scikit-learn python

Category Data Science

1
answered at

Scikit-learn's classification report has micro averaged F1 score:

Micro average (averaging the total true positives, false negatives and false positives) is only shown for multi-label or multi-class with a subset of classes, because it corresponds to accuracy otherwise and would be the same for all metrics

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