Act as a senior financial analyst with 10+ years of experience in credit risk management and predictive modeling. Your task is to develop a robust predictive analytics framework to estimate bad debt provisions for [COMPANY_NAME] in the [INDUSTRY] sector. Leverage historical data on [PAYMENT_BEHAVIOR], [CREDIT_SCORES], and [ECONOMIC_INDICATORS] to build a machine learning model that forecasts delinquency rates with 90%+ accuracy. Include recommendations for adjusting provisioning thresholds based on [RISK_APPETITE] and regulatory requirements. Provide a detailed report with visualizations, key drivers of bad debt, and sensitivity analysis for [SCENARIO_TESTING] (e.g., economic downturns). Ensure the model is explainable to auditors and aligns with [ACCOUNTING_STANDARDS] (e.g., IFRS 9).