Robotics & Machine Learning Daily News2024,Issue(Jan.1) :99-99.

Studies from Chongqing University Provide New Data on Machine Learning (A Comparative Study of Regional Landslide Susceptibility Mapping With Multiple Machine Learning Models)

Robotics & Machine Learning Daily News2024,Issue(Jan.1) :99-99.

Studies from Chongqing University Provide New Data on Machine Learning (A Comparative Study of Regional Landslide Susceptibility Mapping With Multiple Machine Learning Models)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine LearningDaily News – Investigators publish new report on Machine Learning. According to news reporting fromChongqing, People’s Republic of China, by NewsRx journalists, research stated, “The purpose of thisstudy is to utilize three machine learning models-random forest, logistic regression and extreme gradientboosting-to assess the landslide susceptibility of Wushan County and compare the predictive performanceof each algorithm. To achieve this, the database was randomly divided into training (80%) and testing(20%) datasets.”

Key words

Chongqing/People’s Republic of China/Asia/Algorithms/Cyborgs/Emerging Technologies/Machine Learning/Chongqing University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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