PyCM
A comprehensive Python library for generating and analyzing multi-class confusion matrices with extensive statistical metrics.
What is PyCM?
PyCM is a Python library for generating and analyzing multi-class confusion matrices, providing a comprehensive suite of statistical metrics for evaluating classification models. It solves the problem of needing a unified, robust tool to compute a wide range of performance indicators beyond basic accuracy, supporting both binary and multi-class scenarios. The library is designed as a post-classification evaluation toolkit, enabling data scientists to deeply understand model behavior and compare different classifiers effectively.
Data scientists, machine learning engineers, and researchers who need to evaluate and compare classification models, especially those working with multi-class or multilabel problems and requiring detailed statistical analysis.
Developers choose PyCM for its unparalleled breadth of metrics, ease of use, and specialized features like matrix comparison, parameter recommendation, and advanced visualization. It is a dedicated, open-source alternative to building custom evaluation scripts or relying on limited built-in functions from other libraries.
Overview
Multi-class confusion matrix library in Python
Use Cases
Best For
- Evaluating multi-class classification model performance with detailed statistics
Related Projects
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
