class weighted classification I am working on my multi-class classification project and I have a question:
I have three classes in proportion: 50%, 47% and 3%. I decided to use class_weight="balanced" parameter in random forest classifier. Now I want to calculate accuracy. Should I use balanced accuracy or can I use common accuracy?

If you want to include accuracy as a performance metric, balanced accuracy is a better choice than accuracy because of the imbalance in class distributions here. I would also recommend reading these answers about why accuracy is generally a bad metric.
