What's the difference between Sklearn F1 score 'micro' and 'weighted' for a multi class classification problem?

Question

I have a multi-class classification problem with class imbalance.

I search the best metric to evaluate my model.

Sklearn has multiple way of calculating F1 score.

I would like to understand the different.

What are you recommending when there is class imbalance?