Leveraging Open Data to Predict Property Price

This work describes how open data sources were geospatially linked to create a machine learning model that predicts property prices in England and Wales. The model achieves an average error of 11.4% for a single property, and this error comes down to 0.3% for the total value of a sample of 500 properties.