File:Comparison between observed and model-estimated PM2·5 concentrations in 2000–19.jpg

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From the study "Global estimates of daily ambient fine particulate matter concentrations and unequal spatiotemporal distribution of population exposure: a machine learning modelling study"

Summary[edit]

Description
English: "The x-axis indicates observed mean PM2·5 in the monitor stations; the y-axis indicates estimated mean PM2·5 by the deep ensemble machine learning model in 10-fold cross-validation analysis; the points represent the corresponding PM2·5 for both observed and predicted values. There are 9 289 613 datapoints for daily PM2·5, 434 122 for monthly PM2·5, and 38 488 for annual PM2·5; the red line represents a regression line (simple linear regression) for the observed and predicted PM2·5. R2=coefficient of determination for the unseen independent data in 10-fold cross-validation analysis. RMSE=root mean square error."
Date
Source https://www.thelancet.com/journals/lanplh/article/PIIS2542-5196(23)00008-6/fulltext
Author

Authors of the study:

   Wenhua Yu, MPH
   Tingting Ye, MSc
   Yiwen Zhang, MSc
   Rongbin Xu, PhD
   Yadong Lei, PhD
   Zhuying Chen, PhD
   Zhengyu Yang, MPH
   Yuxi Zhang, PhD
   Jiangning Song, PhD
   Xu Yue, PhD
   Shanshan Li, PhD
Prof Yuming Guo, PhD

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current15:54, 11 May 2023Thumbnail for version as of 15:54, 11 May 20235,039 × 1,660 (1.1 MB)Prototyperspective (talk | contribs)Uploaded a work by Authors of the study: Wenhua Yu, MPH Tingting Ye, MSc Yiwen Zhang, MSc Rongbin Xu, PhD Yadong Lei, PhD Zhuying Chen, PhD Zhengyu Yang, MPH Yuxi Zhang, PhD Jiangning Song, PhD Xu Yue, PhD Shanshan Li, PhD Prof Yuming Guo, PhD from https://www.thelancet.com/journals/lanplh/article/PIIS2542-5196(23)00008-6/fulltext with UploadWizard

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