Fig. 1: Spatial distributions and boxplots of statistical metrics for model evaluation. | npj Climate and Atmospheric Science

Fig. 1: Spatial distributions and boxplots of statistical metrics for model evaluation.

From: An intercomparison of weather normalization of PM2.5 concentration using traditional statistical methods, machine learning, and chemistry transport models

Fig. 1

a–c Spatial distributions in the average values of Pearson correlation coefficient (r), normalized mean bias (NMB), and index of agreement (IOA) derived from six methods. d–f Boxplots of r, NMB, and IOA for each method. The color and size of dots in the top panels are mapped to the mean values and standard deviations of statistics calculated from the six methods. The gray (“criteria”) and black (“goal”) horizontal dashed lines in the bottom panels represent the recommended benchmarks for model performance evaluation suggested by Emery et al.48. It should be noted that the hyperparameters for RF and XGB are tuned here for model evaluation.

Back to article page