The purpose of the current study was to determine factors affecting tourism demand using machine learning techniques. The results of different linear regression and random forest models on both the train and test sets were compared using RMSE and R2 . The random forest model outperformed the linear regression model on both the training and test sets. https://www.chiggate.com/