首页|Findings from Yanshan University in the Area of Computational Intelligence Repor ted (A Novel Random Forest Variant Based On Intervention Correlation Ratio)
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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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.”
QinhuangdaoPeople’s Republic of ChinaAsiaComputational IntelligenceMachine LearningYanshan University
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