Machine Learning Feature Selection for Climate Model Prediction

Develop a comprehensive feature selection and dimensionality reduction framework for climate prediction models using advanced statistical techniques. Create a modular pipeline that can automatically evaluate feature importance, handle multi-dimensional environmental datasets, implement cross-validation strategies, and generate interpretable model insights. The solution must support both linear and non-linear feature interactions.