NobleBlocks
Public

Using Visual Analytics to Interpret Predictive Machine Learning Models

Published in arXiv (Cornell University) • Jun 17, 2016
NobleIDNI9P99W96R49S54
Authors:
Josua Krause
,
Adam Perer
,
Enrico Bertini

Abstract

It is commonly believed that increasing the interpretability of a machine learning model may decrease its predictive power. However, inspecting input-output relationships of those models using visual analytics, while treating them as black-box, can help to understand the reasoning behind outcomes wi...

Finding related papers...

Discussions

(0)

No comments yet

Be the first to share your thoughts!