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...
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