Aug. 31, 2023, 7:40 a.m. | Essam Wisam

Towards Data Science - Medium towardsdatascience.com

Class Imbalance: From SMOTE to SMOTE-NC and SMOTE-N

Exploring three algorithms to tackle the class imbalance problem

In the previous story we explained how the naive random oversampling and random oversampling examples (ROSE) algorithms work. More importantly, we also defined the class imbalance problem and derived solutions for it with intuition. I highly recommend checking that story to ensure clear understanding of class imbalance.

In this story, we will continue by considering the SMOTE, SMOTE-NC and SMOTE-N algorithms. But before …

algorithms classification class-imbalance examples explained imbalanced-data intuition machine learning oversampling random smote solutions story work

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