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
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