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| Format: | Recurso digital |
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Zenodo
2025
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| Online Access: | https://doi.org/10.5281/zenodo.18095053 |
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| _version_ | 1866901958042845184 |
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| author | Sun, Bin |
| author_facet | Sun, Bin |
| contents | <p>This code repository provides all the data and code used in the research “<em><strong>Study on the Formation Mechanism of Ozone Pollution in Heavily Polluted Area Based on Interpretable Machine Learning</strong></em>”.</p> <p>The uploaded materials include:</p> <ol> <li>the original dataset used for model training and validation;</li> <li>the data preprocessing scripts used for feature construction;</li> <li>the R scripts used for model tuning and hyperparameter sensitivity analysis; and</li> <li> the Python scripts used for all statistical analyses and figure generation in the paper.</li> </ol> <p>These resources are provided to ensure the transparency and reproducibility of the results reported in the paper.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18095053 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Study on the Formation Mechanism of Ozone Pollution in Heavily Polluted Area Based on Interpretable Machine Learning Sun, Bin <p>This code repository provides all the data and code used in the research “<em><strong>Study on the Formation Mechanism of Ozone Pollution in Heavily Polluted Area Based on Interpretable Machine Learning</strong></em>”.</p> <p>The uploaded materials include:</p> <ol> <li>the original dataset used for model training and validation;</li> <li>the data preprocessing scripts used for feature construction;</li> <li>the R scripts used for model tuning and hyperparameter sensitivity analysis; and</li> <li> the Python scripts used for all statistical analyses and figure generation in the paper.</li> </ol> <p>These resources are provided to ensure the transparency and reproducibility of the results reported in the paper.</p> |
| title | Study on the Formation Mechanism of Ozone Pollution in Heavily Polluted Area Based on Interpretable Machine Learning |
| url | https://doi.org/10.5281/zenodo.18095053 |