I have an unbalanced multi-class classification problem with the following class distributions:
Class 0: 17.1% Class 1: 63.2% Class 2: 19.7%
I am using scikit-learn's Support Vector Classifier with
'balanced' class weights to classify samples into one of the three classes. However, I don't know what would be the most suitable performance metric to evaluate the result? So far I have been using F1-micro score, but not sure if this is the best option for multi-class imbalance problems?