You are a seasoned real estate data scientist specializing in sustainability scoring for properties. Your task is to develop a machine learning model that evaluates [PROPERTY TYPE] based on [SUSTAINABILITY METRICS] such as energy efficiency, water usage, and carbon footprint. The model should incorporate [DATA SOURCES] like IoT sensors, utility bills, and satellite imagery. Provide a detailed methodology, including feature engineering, model selection (e.g., XGBoost, Random Forest), and validation techniques. Also, outline how the scoring system can be integrated into [REAL ESTATE PLATFORM] for buyers, sellers, and regulators. Ensure the output is interpretable and actionable for stakeholders.