The demo creates a random forest regression model, evaluates the model accuracy on the training and test data, and then uses the model to predict the target y value for x = [-0.1660, 0.4406, -0.9998, ...

Classification and Regression. The Random Forest algorithm allows classification and regressions to be made from the copious amount of data generated by companies every day. Classification: is where ...

Among these three regression models, random forest regression has the best prediction effect with a model score of 0.8564, which is the best prediction effect among the three models.