东北亚地区沙尘气溶胶浓度及其影响因素
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王丽君, 杜鹤强, 范亚伟, 杨胜飞, 刘永杰
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Spatiotemporal variations and driving factors of dust aerosol concentration in Northeast Asia
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Lijun Wang, Heqiang Du, Yawei Fan, Shengfei Yang, Yongjie Liu
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表2 不同机器学习模型的统计参数
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Table 2 Statistical parameters of different machine learning models
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| KNN | | RF | | SVM | | XGBoost |
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| R² | RMSE /(μg·m⁻³) | MAE /(μg·m⁻³) | R² | RMSE /(μg·m⁻³) | MAE /(μg·m⁻³) | R² | RMSE /(μg·m⁻³) | MAE /(μg·m⁻³) | R² | RMSE /(μg·m⁻³) | MAE /(μg·m⁻³) |
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| 极端干旱区 | 0.81 | 64.08 | 35.31 | | 0.79 | 66.97 | 38.99 | | 0.60 | 92.94 | 57.75 | | 0.80 | 64.75 | 38.47 | | 干旱区 | 0.80 | 35.81 | 17.44 | 0.83 | 34.37 | 16.62 | 0.18 | 75.94 | 37.03 | 0.84 | 33.84 | 17.75 | | 半干旱区 | 0.82 | 20.73 | 9.89 | 0.78 | 22.82 | 11.65 | 0.47 | 35.37 | 17.48 | 0.77 | 23.68 | 12.98 | | 亚湿润区 | 0.89 | 9.45 | 3.84 | 0.86 | 10.37 | 4.31 | 0.53 | 19.22 | 6.16 | 0.90 | 8.84 | 4.26 | | 湿润区 | 0.82 | 8.10 | 3.16 | 0.79 | 8.89 | 3.54 | 0.52 | 12.43 | 4.97 | 0.78 | 8.82 | 3.72 |
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