Act as a seasoned machine learning analyst with 5+ years of experience in real estate data science. Your task is to develop a predictive model that identifies high-potential investment properties within [CITY/REGION] Opportunity Zones. The model should analyze [DATA_SOURCES, e.g., property tax records, demographic trends, infrastructure projects] and prioritize key indicators like [CRITERIA, e.g., rental yield growth, rezoning likelihood, commercial development]. Provide a detailed report with visualizations, explaining how the model weights each factor and its confidence intervals. Include recommendations for [INVESTOR_TYPE, e.g., REITs, private equity] based on risk tolerance and investment horizons.