Anonymous
I would try to use deep learning architecture which has less effect due to imbalanced dataset. Another method is generating synthetic data using Smote analysis.
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Interview question asked to Machine Learning Engineers interviewing at Square, Yelp, Asana and others: Can you explain how you address the issue of imbalanced datasets, where one class is heavily overrepresented in binary classification?.