Imbalanced classification involves developing predictive models on classification datasets that have a severe class imbalance. The challenge of working with imbalanced datasets is that most machine learning techniques will ignore, and in turn have poor performance on, the minority class, although typically it is performance on the minority class that is most important. One approach […]
The post SMOTE Oversampling for Imbalanced Classification with Python appeared first on Machine Learning Mastery.
Comments
Post a Comment