Data on Machine Learning Described by Researchers at University of Florida (A Ra ndom Forests-based Hedonic Price Model Accounting for Spatial Autocorrelation)
Data on Machine Learning Described by Researchers at University of Florida (A Ra ndom Forests-based Hedonic Price Model Accounting for Spatial Autocorrelation)
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsoriginating from Gainesville, Florida , by NewsRx editors, the research stated, “This paper introduces a spatiallyexp licit random forests-based hedonic price modeling approach to account for spatia l autocorrelationin the data. Spatial autocorrelation is a common data structur e in georeferenced data, and controllingassociations among spatial objects is c rucial for accurate statistical analysis.”
Key words
Gainesville/Florida/United States/Nor th and Central America/Cyborgs/Emerging Technologies/Machine Learning/Univer sity of Florida
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