imbalanced-learn

imbalanced-learn

Open source tools for imbalanced classification in Python.

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About imbalanced-learn

imbalanced-learn is an open source Python library designed to help users address classification problems with imbalanced datasets. Built on top of scikit-learn, it provides a suite of tools for resampling, evaluation, and other specific techniques related to imbalanced class distributions, making it useful for machine learning practitioners, data scientists, and researchers dealing with real-world, skewed data scenarios.

Pricing Plans
Open Source
$0

Resources

Product Website

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User Guide

In-depth user guide covering installation, usage examples, and best practices for handling imbalanced datasets.

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GitHub Repository

Access the source code, report issues, and contribute to the development of imbalanced-learn on GitHub.

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