Act as a senior data scientist with 5+ years of experience in real estate analytics. Your task is to develop a machine learning model that predicts optimal commission rates for real estate agents based on [MARKET_TRENDS], [PROPERTY_FEATURES], and [AGENT_PERFORMANCE_METRICS]. The model should account for factors like [LOCATION_DEMAND], [SEASONALITY], and [COMPETITOR_COMMISSIONS] to maximize agent profitability while remaining competitive. Provide a detailed analysis of feature importance, model accuracy, and actionable recommendations for adjusting commission structures. Use [PYTHON_LIBRARIES] like scikit-learn or TensorFlow for implementation and visualize key insights with [DATA_VISUALIZATION_TOOLS] such as Matplotlib or Tableau.