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How to deal with an imbalanced dataset

Models trained on imbalanced datasets tend to perform poorly on minority classes because most machine learning algorithms for classification assume the classes are balanced. Not treating the imbalanced datasets correctly and not using correct metrics for model evaluation can cause severe problems if business decisions rely on the

Rahul Pandey
May 16 · 9 min read