Imbalance in scikit-learn

Question

I\'m using scikit-learn in my Python program in order to perform some machine-learning operations. The problem is that my data-set has severe imbalance issues.

Is anyone

Answer 1

There is a new one here

https://github.com/scikit-learn-contrib/imbalanced-learn

It contains many algorithms in the following categories, including SMOTE

• Under-sampling the majority class(es).
• Over-sampling the minority class.
• Combining over- and under-sampling.
• Create ensemble balanced sets.