首页|Studies from Royal Melbourne Institute of Technology - RMIT University Further Understanding of Machine Learning (A Monte Carlo Fuzzy Logistic Regression Framework Against Imbalance and Separation)
Studies from Royal Melbourne Institute of Technology - RMIT University Further Understanding of Machine Learning (A Monte Carlo Fuzzy Logistic Regression Framework Against Imbalance and Separation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Machine Learning. According to news originatingfrom Melbourne, Australia, by NewsRx correspondents, research stated, “This article proposes a new fuzzylogistic regression framework with high classification performance against imbalance and separation whilekeeping the interpretability of classical logistic regression. Separation and imbalance are two core problemsin logistic regression, which can result in biased coefficient estimates and inaccurate predictions.”
MelbourneAustraliaAustralia and New ZealandCyborgsEmerging TechnologiesMachine LearningRoyal Melbourne Institute of Technology - RMIT University
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