Different Regression models i.e. Linear Regression, Decision Tree Regression, Gradient Boosted Regression, and Random Forest Regression were used. The performance of those models using R² were compared. Based on these performance score, better performing model were suggested to predict house price.
An often-quoted statistic by Ericsson ConsumerLab is that waiting for a slow loading web page on a mobile device creates as much stress as watching a horror film.
Random Forest Regression: Random Forest Regression is a supervised learning algorithm that uses ensemble learning method for regression.