This is the manuscript scripts for "Using an Interpretable Machine Learning Approach to Characterize Earth System Model Errors: Application of SHAP Analysis to Modeling Lightning Flash Occurrence"
Code in the repository demonstrates training the XGBoost classifier and interpreting the SHAP analysis results. All code is in R.
The datasets used for training and thier description are located on Zenodo.