ZhiningLiu1998/imbalanced-ensemble

🛠️ Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库 [NeurIPS'25]

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Established

This tool helps data professionals build more accurate predictive models when their datasets have very skewed categories, like detecting a rare disease or fraudulent transactions. It takes your existing tabular data and applies advanced techniques to balance the categories, outputting a more robust and reliable classification model. Data scientists, machine learning engineers, and analysts working with real-world, messy datasets will find this valuable.

418 stars. Available on PyPI.

Use this if your classification models struggle with accurately predicting rare events because the dataset has significantly more examples of one outcome than others.

Not ideal if you are working with perfectly balanced datasets or if your task is not classification, such as regression or clustering.

predictive-modeling fraud-detection medical-diagnosis customer-churn risk-assessment
Maintenance 10 / 25
Adoption 10 / 25
Maturity 25 / 25
Community 19 / 25

How are scores calculated?

Stars

418

Forks

58

Language

Python

License

MIT

Last pushed

Mar 05, 2026

Commits (30d)

0

Dependencies

10

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