NEL ensemble learning for CCN prediction

Local Knowledge Graph (32 entities)

Description

Novel ensemble learning approach combining XGBoost, CatBoost, and Random Forest algorithms with SHAP interpretability analysis to predict cloud condensation nuclei from aerosol optical properties.

Typical Equipment

• XGBoost
• CatBoost
• Random Forest algorithms
• SHAP algorithm
• Bayesian optimization

Output Measurements

• CCN predictions
• feature importance scores
• model performance metrics

Papers Using This Protocol (1)

Places Where Used