Statistical analysis of random forest on real estate prediction

Abstract

Prediction models in real estate have a significant role to play in telling the future of the real estate industry. They have a role in forecasting that is essential to investors who use the information to come up with effective decisions. Random Forest model’s accuracy in estimating residential property prices are much better when compared to other models as the marginal error is comparatively less.