Artificial Intelligence, Machine Learning, Math, Computer Science, Software Engineering.
up-sampling. Down-sampling is bad because it removes samples that could otherwise have been used to train the model. Up-sampling on its own is less than ideal since it causes our model to overfit. SMOTE is a technique to up-sample the minority classes while avoiding overfitting. It does this by