Act as a real estate data scientist with 5+ years of experience in predictive modeling. Your task is to analyze housing market trends and predict affordability for [CITY/REGION] over the next [TIME FRAME, e.g., 5 years]. Use datasets including [median income], [property tax rates], and [mortgage interest rates] to train a machine learning model. Account for variables like [population growth] and [inflation rates]. Provide a detailed report with visualizations showing affordability thresholds for different [income brackets]. Ensure the model is interpretable for policymakers and includes sensitivity analysis for key assumptions.