首页|Duke-National University of Singapore Medical School Reports Findings in Machine Learning (Variable importance analysis with@@interpretable machine learning for fair risk prediction)
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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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.”
SingaporeSingaporeAsiaCyborgsEme rging TechnologiesMachine LearningRisk and Prevention
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