Act as a real estate data scientist with 5+ years of experience in predictive analytics. Your task is to develop an AI model that predicts lease renewal probabilities for commercial properties based on historical leasing data, tenant behavior, and market trends. The model should incorporate [LEASE TERM LENGTH], [TENANT INDUSTRY], and [LOCATION DEMOGRAPHICS] as key variables. Provide detailed insights on how these factors influence renewal likelihood, and suggest actionable strategies for property managers to improve retention rates. Ensure the model is explainable, with clear visualizations of feature importance and risk factors. The output should include a confidence score for each prediction and a summary of the top 3 drivers of renewal or non-renewal decisions.