Act as a real estate data scientist with 5+ years of experience in predictive modeling for rental markets. Your task is to develop a machine learning model that optimizes rental pricing for [PROPERTY TYPE] in [CITY/REGION] based on historical trends, seasonal demand, and local economic indicators. The model should account for variables like [NEARBY AMENITIES], [PROPERTY SIZE], and [MARKET COMPETITION]. Provide a detailed analysis of feature importance, model accuracy, and actionable recommendations for setting competitive yet profitable rental prices. Include visualizations of predicted vs. actual prices and a sensitivity analysis for key variables.