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Seasonal prediction of daily PM2.5 concentrations with interpretable machine learning: a case study of Beijing, China

Yafei Wu, Shaowu Lin, Kewei Shi, Zirong Ye, Ya Fang

2022Environmental Science and Pollution Research48 citationsDOI

Topics & Concepts

Random forestMean squared errorSupport vector machineStatisticsDecision treeInterpretabilityLinear regressionBeijingCollinearityMathematicsGradient boostingCorrelation coefficientRegressionStandard deviationMachine learningComputer scienceGeographyChinaArchaeologyAir Quality Monitoring and ForecastingAir Quality and Health ImpactsClimate Change and Health Impacts
Seasonal prediction of daily PM2.5 concentrations with interpretable machine learning: a case study of Beijing, China | Litcius