SMOTE and multi class oversampling I have read that the SMOTE package is implemented for binary classification. In the case of n classes, it creates additional examples for the smallest class. Can I balance all the classes by running the algorithm n-1 times?
I am pretty sure that the SMOTE package in python can also be used for multi-class as well.
Just you can check its implementation for iris dataset-

http://contrib.scikit-learn.org/imbalanced-learn/stable/auto_examples/plot_ratio_usage.html
-Please correct me if I am wrong.