Advanced Property Valuation Machine Learning Model Design

Design a comprehensive machine learning framework for predictive real estate valuations that integrates multiple data sources including historical sales data, neighborhood economic indicators, infrastructure development plans, and micro-market trends. Create a modular architecture that can handle both residential and commercial property segments, with explicit consideration for feature engineering, model interpretability, and bias mitigation. Include recommendations for data preprocessing, algorithm selection (e.g., gradient boosting, neural networks), and cross-validation strategies.