Tag: SMOTE

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 un...

In machine learning, imbalanced data sets are a common and challenging problem. As data scientists, we often find ourselves in scenarios where we’re trying to build models with data where one class greatly outnumbers the other. A classic solution to this issue has been the use of over/undersam...