Automated Property Valuation Model with Machine Learning Integration

Create a Google Sheets script using TensorFlow.js that builds a dynamic property valuation model integrating historical market data, neighborhood comps, and machine learning predictive algorithms. The script should accept raw property data inputs, process multiple regression variables, and output a probabilistic valuation range with 95% confidence interval. Include error handling for incomplete datasets and visualization of prediction confidence levels.