"Comparing Explanation Methods for Traditional Machine Learning Models Part ..."

Montgomery Flora et al. (2022)

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DOI: 10.48550/ARXIV.2211.10378

access: open

type: Informal or Other Publication

metadata version: 2022-11-24

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  - https://dblp.org/rec/journals/corr/abs-2211-10378
Montgomery Flora, Corey K. Potvin, Amy McGovern, Shawn Handler:
Comparing Explanation Methods for Traditional Machine Learning Models Part 2: Quantifying Model Explainability Faithfulness and Improvements with Dimensionality Reduction. CoRR abs/2211.10378 (2022)

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