apple-aiml-research / ml-hierarchical-confusion-matrix
Neo: Hierarchical Confusion Matrix Visualization (CHI 2022)
Why this job: works in the areas we cover, but does not say which job it does
What it does
The confusion matrix, a ubiquitous visualization for helping people evaluate machine learning models, is a tabular layout that compares predicted class labels against actual class labels over all data instances. Neo is a visual analytics system that enables practitioners to flexibly author and interact with hierarchical and multi-output confusion matrices, visualize derived metrics, renormalize confusions, and share matrix specifications.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 2 months ago
- Stars
- 313
- +1 this week
- Licence
- Custom
- Read before business use
- Downloads for
- None listed
- No release files
- Latest version
- v1.1.1
- Released 3 years ago
- Built with
- TypeScript
- 84% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- Off
- Issues switched off
- Pull requests
- 0 merged
- 0 waiting
- Releases
- 4
- 0 in the last year
- No contributing guide
- Security policy (opens in new tab)
- No code of conduct
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More: languages, topics and project record
Languages
- TypeScript 84%
- Svelte 15%
- JavaScript 1%
- CSS <1%
Topics
- confusion-matrix
- data-visualization
- machine-learning
- visual-analytics
Project record
- JobOther AI tools
- StatusListed
- Commits246
- Forks34
- Watching11
- Stars in 28 days+1
- CreatedMar 22, 2022
- First seen by usNov 7, 2026
- CheckedNov 8, 2026