https://github.com/denisecase/confusion-matrix-explorer

Confusion Matrix Explorer (PyShiny App)
https://github.com/denisecase/confusion-matrix-explorer

confusion-matrix diagnostic-tests education machine-learning statistics visualization

Last synced: 22 days ago
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Confusion Matrix Explorer (PyShiny App)

• Host: GitHub
• URL: https://github.com/denisecase/confusion-matrix-explorer
• Owner: denisecase
• License: mit
• Created: 2025-11-11T01:21:11.000Z (8 months ago)
• Default Branch: main
• Last Pushed: 2025-11-11T19:22:17.000Z (7 months ago)
• Last Synced: 2025-11-11T20:36:43.317Z (7 months ago)
• Topics: confusion-matrix, diagnostic-tests, education, machine-learning, statistics, visualization
• Language: HTML
• Homepage: https://denisecase.github.io/confusion-matrix-explorer/
• Size: 9.83 MB
• Stars: 1
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • License: LICENSE
  • Citation: CITATION.cff

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README

          
# Confusion Matrix Explorer (PyShiny App)

[![Docs](https://img.shields.io/badge/docs-latest-brightgreen.svg)](https://denisecase.github.io/confusion-matrix-explorer/)

[![CI](https://github.com/denisecase/confusion-matrix-explorer/actions/workflows/ci.yml/badge.svg)](https://github.com/denisecase/confusion-matrix-explorer/actions/workflows/ci.yml)

[![License: MIT](https://img.shields.io/badge/license-MIT-blue.svg)](LICENSE)

[![Python](https://img.shields.io/badge/python-3.12+-blue.svg)](https://www.python.org/)

> This repo (`confusion-matrix-explorer`) contains a PyShiny app for exploring how changing a decision threshold affects a binary classifier confusion matrix and related metrics (sensitivity, specificity, precision, etc.).

## Launch the App In Your Browser

Click here: [**Launch the Confusion Matrix Explorer**](https://denisecase.github.io/confusion-matrix-explorer/app/)

The app runs in your browser using **Shinylive** (Pyodide), no installation needed.

## About the App

The **Confusion Matrix Explorer** app demonstrates how changing the decision threshold (the vertical T line) affects the confusion matrix and related metrics (sensitivity, specificity, etc.) for a binary classification problem.

How to use:

- Use the sidebar upper slider to vary the decision threshold.

- Use the sidebar lower slider to vary the number of bins in the histogram.

- Compare the as you raise (or lower) the decision threshold.

To learn more:

- See [ABOUT.md](./docs/ABOUT.md).

## Optional: Run on Your Machine

- To run on your machine, see the [Home Page](index.md).

- To make modifications, see [DEVELOPER.md](./docs/DEVELOPER.md)

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## Screenshot (Raise the Bar)

![Raise the bar](./docs/images/bar_up.png)

## Screenshot (Default)

![Default](./docs/images/bar_center.png)

## Screenshot (Lower the Bar)

![Lower the bar](./docs/images/bar_down.png)

## License

This project is licensed under the [MIT License](LICENSE).