From b5983a1bd9e50a4a87c14eab53d819ee65af7a02 Mon Sep 17 00:00:00 2001 From: Fred Hohman Date: Wed, 4 May 2022 23:28:45 -0500 Subject: [PATCH] Better links to materials and demo (#7) Improves upon #6 --- README.md | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index 635cff9..d584ce8 100644 --- a/README.md +++ b/README.md @@ -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.* +[image Paper](https://arxiv.org/abs/2110.12536), [image Live demo](https://apple.github.io/ml-hierarchical-confusion-matrix/), [image Video](https://www.youtube.com/watch?v=LmsJJDHfGlI), [image Video Preview](https://www.youtube.com/watch?v=8ZxvsLPIF_Q), [image Code](https://github.com/apple/ml-hierarchical-confusion-matrix/) ## Documentation