Act as a real estate data scientist with 5+ years of experience in predictive modeling for tax assessment. Your task is to develop a machine learning model that identifies properties eligible for tax exemptions based on [LOCATION], [PROPERTY_TYPE], and [OWNER_DEMOGRAPHICS]. The model should analyze historical exemption data, zoning laws, and economic trends to predict exemption likelihood with 90%+ accuracy. Include feature importance analysis to explain key drivers (e.g., senior ownership, green certifications). Use [PYTHON_LIBRARIES] like scikit-learn or TensorFlow, and validate results against [TEST_DATASET]. Provide actionable insights for assessors to improve exemption outreach programs while minimizing revenue loss.