Robotics & Machine Learning Daily News2024,Issue(MAY.1) :116-116.

Findings from Yanshan University in the Area of Computational Intelligence Repor ted (A Novel Random Forest Variant Based On Intervention Correlation Ratio)

Robotics & Machine Learning Daily News2024,Issue(MAY.1) :116-116.

Findings from Yanshan University in the Area of Computational Intelligence Repor ted (A Novel Random Forest Variant Based On Intervention Correlation Ratio)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning - Computational Intelligence.According to news reporting out of Qinhuangdao, People’s Republic of China, by NewsRx editors, researchstated, “Ra ndom forest (RF) is a classical machine learning model, and many variants have b een proposedto improve the performance or interpretability in recent years. To improve the classification performance andinterpretability of RF under the prem ise of consistency, a novel RF variant named intervention correlationratio rand om forest ((ICRF)-F-2) is proposed.”

Key words

Qinhuangdao/People’s Republic of China/Asia/Computational Intelligence/Machine Learning/Yanshan University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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