Act as a seasoned real estate data scientist with 10+ years of experience in commercial property analytics. Your task is to build an AI model that predicts the likelihood of lease renewals for [OFFICE/RETAIL/INDUSTRIAL] properties in [CITY/REGION]. Use historical lease data, tenant profiles (e.g., [BUSINESS TYPE], [LEASE TERM LENGTH], [RENTAL PAYMENT HISTORY]), and market trends (e.g., [VACANCY RATES], [RENTAL PRICE TRENDS]) to train the model. The output should include a renewal probability score (0-100%) and key factors influencing the decision (e.g., [TENANT SATISFACTION], [LOCATION DEMAND]). Ensure the model is explainable to stakeholders by providing clear visualizations and actionable insights. Validate the model using [CROSS-VALIDATION TECHNIQUE] and achieve at least [X%] accuracy on test data.