Exercise

Movie revenue prediction with CatBoost

Let's finish up this chapter on boosting by returning to the movies dataset! In this exercise, you'll build a CatBoostRegressor to predict the log-revenue. Remember that our best model so far is the AdaBoost model with a RMSE of 5.15.

Will CatBoost beat AdaBoost? We'll try to use a similar set of parameters to have a fair comparison.

Recall that these are the features we have used so far: 'budget', 'popularity', 'runtime', 'vote_average', and 'vote_count'.

Instructions

100 XP

Build and fit a CatBoostRegressor using 100 estimators, a learning rate of 0.1, and a max depth of 3.
Calculate the predictions for the test set and print the RMSE.

Take Hint (-30 XP)