Hi guys!
I am currently building predictive models for a categorical target variable, but I have a class imbalance in my variable.
I am using three models, and they all have 0% accuracy for cluster 3
I'd appreciate any ideas or resources on how to tackle this.
Solved! Go to Solution.
Hey @Sntrada
Are you able to share your workflow?
If you familiar with Python, there is a packages (Scikit-learn) that addresses your issue. You can impute values to overcome class imbalance issues.