I am using the Orange data mining tool to build and analyze models (decision tree, ANN, ...) predicting customer churn. As this is an imbalanced class problem (10% churn, 90% not churn), I need to oversample within the cross validation. However, I am not totally able to implement this by myself. Is there anyone with some Orange knowledge that could help me?
Thank you!