PyCM is a multi-class confusion matrix library written in Python that supports both input data vectors and direct matrix, and a proper tool for post-classification model evaluation that supports most classes and overall statistics parameters. PyCM is the swiss-army knife of confusion matrices, targeted mainly at data scientists that need a broad array of metrics for predictive models and an accurate evaluation of large variety of classifiers.

Features

  • PyCM 2.4 is the last version to support Python 2.7 & Python 3.4
  • Plotting capability requires Matplotlib (>= 3.0.0) or Seaborn (>= 0.9.1)
  • Visit MATLAB Examples
  • Activation threshold
  • Sample weights
  • Load from file

Project Samples

Project Activity

See All Activity >

Categories

Machine Learning

License

MIT License

Follow pycm

pycm Web Site

Other Useful Business Software
Paessler - Monitor Your Whole Network in Minutes Icon
Paessler - Monitor Your Whole Network in Minutes

Auto-discovery finds your devices and deploys pre-configured sensors instantly. No project plan required, just visibility from day one.

Waiting weeks for a monitoring rollout isn't an option when infrastructure doesn't stop running. PRTG's auto-discovery scans your network and suggests from over 200 pre-configured sensor types, so you're watching servers, applications and devices within minutes, not after a multi-week deployment. Enterprise-strength monitoring, without the enterprise complexity. Start your free trial today.
Start Free 30-Day Trial
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of pycm!

Additional Project Details

Programming Language

Python

Related Categories

Python Machine Learning Software

Registered

2022-08-17