Metric Ensembles Aid in Explainability: A Case Study with Wikipedia Data

In recent years, as machine learning models have become larger and more complex, it has become both more difficult and more important to be able to explain and interpret the results of those models, both to prevent model errors and to inspire confidence for end users of the model. As such, there has...

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Bibliographic Details
Main Authors: Grant Forbes, R. Jordan Crouser
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Analytics
Subjects:
Online Access:https://www.mdpi.com/2813-2203/2/2/17