Comparing performance of ensemble methods in predicting movie box office revenue.

The results in Tables 3 , 4 , and 5 show that decision trees using ensemble methods (random forests, bagging, boosting) outperform k-NN using best-k and ensemble methods (bagging, boosting), as the differences of RMSE are highly significant.

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