The study applies an ensemble of machine learning and deep learning models with synthetic oversampling on 2018-2020 data to nowcast visibility, finding a performance decline on 2021 test data attributed to distributional shift confirmed by Wasserstein distance on the SHAP-identified feature.
Journal of the American Medi- cal Informatics Association31(11), 2529–2539 (2024) https://doi
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Visibility nowcasting in South Korea: a machine learning approach to class imbalance and distribution shift
The study applies an ensemble of machine learning and deep learning models with synthetic oversampling on 2018-2020 data to nowcast visibility, finding a performance decline on 2021 test data attributed to distributional shift confirmed by Wasserstein distance on the SHAP-identified feature.