Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Better links to materials and demo #7

Merged
merged 1 commit into from
May 5, 2022
Merged

Better links to materials and demo #7

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
6 changes: 2 additions & 4 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -4,14 +4,12 @@

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.

**[Here you can find a live demo of Neo.](https://apple.github.io/ml-hierarchical-confusion-matrix/)**

This code accompanies the research paper:

**[Neo: Generalizing Confusion Matrix Visualization to Hierarchical and Multi-Output Labels](https://machinelearning.apple.com/research/generalizing-confusion-matrix)**
Jochen Görtler, Fred Hohman, Dominik Moritz, Kanit Wongsuphasawat, Donghao Ren, Rahul Nair, Marc Kirchner, Kayur Patel
*ACM Conference on Human Factors in Computing Systems (CHI), 2022.*

*ACM Conference on Human Factors in Computing Systems (CHI), 2022.*
[<img width="16" alt="image" src="https://user-images.githubusercontent.com/5741691/166707770-eac596b5-2622-4899-9ff8-8c3037b03b3a.png"> Paper](https://arxiv.org/abs/2110.12536), [<img width="12" alt="image" src="https://user-images.githubusercontent.com/5741691/166709218-c8fa7af7-a5a4-467b-b77d-679aaf1aabda.png"> Live demo](https://apple.github.io/ml-hierarchical-confusion-matrix/), [<img width="18" alt="image" src="https://user-images.githubusercontent.com/5741691/166709344-e11b80c9-1b24-4412-bd7d-03c7e3dfaecc.png"> Video](https://www.youtube.com/watch?v=LmsJJDHfGlI), [<img width="18" alt="image" src="https://user-images.githubusercontent.com/5741691/166709459-5d0e44a5-0dbc-4679-b071-10ed0a3cdd92.png"> Video Preview](https://www.youtube.com/watch?v=8ZxvsLPIF_Q), [<img width="20" alt="image" src="https://user-images.githubusercontent.com/5741691/166706116-4d2c003f-fd68-4b75-b896-8f9a588318c1.png"> Code](https://github.com/apple/ml-hierarchical-confusion-matrix/)

## Documentation

Expand Down