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Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning

arXiv 1609.06570 ↗First posted 21 Sep 2016cs.LGcited by 193

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Abstract (arXiv)

Imbalanced-learn is an open-source python toolbox aiming at providing a wide range of methods to cope with the problem of imbalanced dataset frequently encountered in machine learning and pattern recognition. The implemented state-of-the-art methods can be categorized into 4 groups: (i) under-sampling, (ii) over-sampling, (iii) combination of over- and under-sampling, and (iv) ensemble learning methods. The proposed toolbox only depends on numpy, scipy, and scikit-learn and is distributed under MIT license. Furthermore, it is fully compatible with scikit-learn and is part of the scikit-learn-contrib supported project. Documentation, unit tests as well as integration tests are provided to ease usage and contribution. The toolbox is publicly available in GitHub: https://github.com/scikit-learn-contrib/imbalanced-learn.

Key facts. Cited by 193 papers in the map (data through 7 Oct 2026). First posted on arXiv 21 Sep 2016.

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Citing papers per year: 2021: 32; 2022: 43; 2023: 34; 2024: 35; 2025: 30; 2026: 19.

193 papers.

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  1. 2023Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in low-data regimescited by 52
  2. 2021Fair Preprocessing: Towards Understanding Compositional Fairness of Data Transformers in Machine Learning Pipelinecited by 49
  3. 2022TwiBot-22: Towards Graph-Based Twitter Bot Detectioncited by 44
  4. 2021Learning with Multiclass AUC: Theory and Algorithmscited by 35
  5. 2021MOTIF: A Large Malware Reference Dataset with Ground Truth Family Labelscited by 17
  6. 2024TabEBM: A Tabular Data Augmentation Method with Distinct Class-Specific Energy-Based Modelscited by 15
  7. 2022On the in vivo recognition of kidney stones using machine learningcited by 14
  8. 2023What Should Be Balanced in a "Balanced" Face Recognition Dataset?cited by 13
  9. 2023On the Usefulness of Synthetic Tabular Data Generationcited by 12
  10. 2024Balanced Mixed-Type Tabular Data Synthesis with Diffusion Modelscited by 12
  11. 2021Foundations of data imbalance and solutions for a data democracycited by 11
  12. 2025A Comprehensive Survey on Imbalanced Data Learningcited by 10
38 more
  1. 2022Non-Imaging Medical Data Synthesis for Trustworthy AI: A Comprehensive Surveycited by 9
  2. 2021BrainNetGAN: Data augmentation of brain connectivity using generative adversarial network for dementia classificationcited by 8
  3. 2022Engagement Detection with Multi-Task Training in E-Learning Environmentscited by 8
  4. 2023Team QUST at SemEval-2023 Task 3: A Comprehensive Study of Monolingual and Multilingual Approaches for Detecting Online News Genre, Framing and Persuasion Techniquescited by 8
  5. 2021Introduction to Neural Transfer Learning with Transformers for Social Science Text Analysiscited by 6
  6. 2021Deep Neural Network based Cough Detection using Bed-mounted Accelerometer Measurementscited by 6
  7. 2021Automated Security Assessment for the Internet of Thingscited by 6
  8. 2021IMBENS: Ensemble Class-imbalanced Learning in Pythoncited by 6
  9. 2022Phishing URL Detection: A Network-based Approach Robust to Evasioncited by 6
  10. 2024Restoring balance: principled under/oversampling of data for optimal classificationcited by 6
  11. 2025CLIMB: Class-imbalanced Learning Benchmark on Tabular Datacited by 6
  12. 2021Handling Inter-class and Intra-class Imbalance in Class-imbalanced Learningcited by 5
  13. 2021Explainable Artificial Intelligence for Pharmacovigilance: What Features Are Important When Predicting Adverse Outcomes?cited by 5
  14. 2022Fighting Money Laundering with Statistics and Machine Learningcited by 5
  15. 2022Understanding the Tricks of Deep Learning in Medical Image Segmentation: Challenges and Future Directionscited by 5
  16. 2022Overview of the HASOC Subtrack at FIRE 2022: Offensive Language Identification in Marathicited by 5
  17. 2023TCE: A Test-Based Approach to Measuring Calibration Errorcited by 5
  18. 2023An Explainable Geometric-Weighted Graph Attention Network for Identifying Functional Networks Associated with Gait Impairmentcited by 5
  19. 2024Do we need rebalancing strategies? A theoretical and empirical study around SMOTE and its variantscited by 5
  20. 2024Synthetic Tabular Data Generation for Class Imbalance and Fairness: A Comparative Studycited by 5
  21. 2024Learning the rules of peptide self-assembly through data mining with large language modelscited by 5
  22. 2021B-HAR: an open-source baseline framework for in depth study of human activity recognition datasets and workflowscited by 4
  23. 2021A Minimax Probability Machine for Non-Decomposable Performance Measurescited by 4
  24. 2021RB-CCR: Radial-Based Combined Cleaning and Resampling algorithm for imbalanced data classificationcited by 4
  25. 2021Automatic non-invasive Cough Detection based on Accelerometer and Audio Signalscited by 4
  26. 2021Nonuniform Negative Sampling and Log Odds Correction with Rare Events Datacited by 4
  27. 2021Multi-task fusion for improving mammography screening data classificationcited by 4
  28. 2022Stop Oversampling for Class Imbalance Learning: A Critical Reviewcited by 4
  29. 2022Applying Automatic Text Summarization for Fake News Detectioncited by 4
  30. 2022Deeply Supervised Skin Lesions Diagnosis with Stage and Branch Attentioncited by 4
  31. 2022Supervised Machine Learning for Effective Missile Launch Based on Beyond Visual Range Air Combat Simulationscited by 4
  32. 2022RUAD: unsupervised anomaly detection in HPC systemscited by 4
  33. 2022A Machine Learning Enhanced Approach for Automated Sunquake Detection in Acoustic Emission Mapscited by 4
  34. 2023Evaluating XGBoost for Balanced and Imbalanced Data: Application to Fraud Detectioncited by 4
  35. 2024A Comparative Study of Sampling Methods with Cross-Validation in the FedHome Frameworkcited by 4
  36. 2025Robust COVID-19 Detection from Cough Sounds using Deep Neural Decision Tree and Forest: A Comprehensive Cross-Datasets Evaluationcited by 4
  37. 2025Bias-Corrected Data Synthesis for Imbalanced Learningcited by 4
  38. 2022Automated Imbalanced Learningcited by 3

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