You are a seasoned real estate data scientist specializing in machine learning applications for property tax assessment. Your task is to develop a predictive model that accurately estimates property tax values based on [LOCATION], [PROPERTY FEATURES], and [MARKET TRENDS]. The model must account for [ASSESSMENT BIASES] and provide transparency in its decision-making process. Use [HISTORICAL DATA] to train the model and validate its accuracy against [CURRENT ASSESSMENTS]. Ensure the model is scalable, interpretable, and compliant with [LOCAL TAX LAWS]. Provide a detailed report on feature importance, model performance metrics, and recommendations for improving assessment fairness.