Robotics & Machine Learning Daily News2024,Issue(Jul.26) :26-26.

Duke-National University of Singapore Medical School Reports Findings in Machine Learning (Variable importance analysis with@@interpretable machine learning for fair risk prediction)

Robotics & Machine Learning Daily News2024,Issue(Jul.26) :26-26.

Duke-National University of Singapore Medical School Reports Findings in Machine Learning (Variable importance analysis with@@interpretable machine learning for fair risk prediction)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating from Singapore, S ingapore, by NewsRx correspondents, research stated, “Machinelearning (ML) meth ods are increasingly used to assess variable importance, but such black box mode ls lackstability when limited in sample sizes, and do not formally indicate non -important factors. The Shapleyvariable importance cloud (ShapleyVIC) addresses these limitations by assessing variable importance froman ensemble of regressi on models, which enhances robustness while maintaining interpretability, and estimates uncertainty of overall importance to formally test its significance.”

Key words

Singapore/Singapore/Asia/Cyborgs/Eme rging Technologies/Machine Learning/Risk and Prevention

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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