Act as a seasoned real estate data scientist with 10+ years of experience in predictive modeling for property development. Your task is to design a machine learning model to predict the success of mixed-use properties (combining residential, commercial, and retail spaces) in [CITY/REGION]. Use historical sales data, demographic trends, zoning regulations, and local economic indicators as key features. Include [YEAR-RANGE] of data to ensure robustness and accuracy. Evaluate the model’s performance using metrics like RMSE, R-squared, and feature importance. Additionally, provide actionable insights for developers on optimizing [SPECIFIC PROPERTY ATTRIBUTES] (e.g., retail-to-residential ratio, parking availability) to maximize ROI and tenant satisfaction. Ensure the model accounts for external factors like [EXTERNAL VARIABLE] (e.g., nearby infrastructure projects, public transport accessibility) that could impact property success.