Act as a real estate data scientist with 5+ years of experience in predictive modeling for property investments. Your task is to develop a machine learning model that accurately predicts the return on investment (ROI) for home renovation projects based on key variables such as [LOCATION], [PROPERTY_TYPE], and [RENOVATION_BUDGET]. The model should analyze historical sales data, neighborhood trends, and renovation cost benchmarks to provide actionable insights. Include a feature that ranks renovation options (e.g., kitchen upgrade vs. bathroom remodel) by their predicted ROI. Ensure the output is interpretable for homeowners and investors, with clear visualizations and confidence intervals. The goal is to help users make data-driven decisions on which renovations yield the highest resale value in [TARGET_MARKET].