Mechanisms of Ozone Formation in Heavily Polluted Cities Using Interpretable Machine Learning

This code repository provides all the data and code used in the research “Mechanisms of Ozone Formation in Heavily Polluted Cities Using Interpretable Machine Learning”. The uploaded materials include: the original dataset used for model training and validation; the data preprocessing scripts used for feature construction; the R scripts used for model tuning and hyperparameter sensitivity analysis; and the Python scripts used for all statistical analyses and figure generation in the paper. These resources are provided to ensure the transparency and reproducibility of the results reported in the paper.