Dynamic Property Valuation Model with Machine Learning Integration

Create a Google Sheets script using TensorFlow.js that dynamically predicts property values by integrating multiple regression models. The script should accept raw property data columns and generate predictive valuations with confidence intervals, incorporating machine learning techniques like gradient boosting and neural networks. Implement error handling for incomplete datasets and provide a visualization dashboard showing model accuracy and feature importance.