Comparison between optimized XGBoost model and deep learning (DL) model.

<p>Comparison between optimized XGBoost model and deep learning (DL) model.</p>

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Bibliographic Details
Main Author:	Shenglan Tang (707472) (author)
Published:	2024
Subjects:	Molecular Biology Science Policy Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified strong prediction ability research results reveal reduce economic risks optimize investment decisions market performance early deep neural network box office prediction analyzing five models showing obvious advantages study deeply discusses optimized xgboost algorithm optimization model proposed distribution </ p distribution strategies advantages compared xlink "> scale datasets reasonably estimate random forest making basis generalization error film shooting film producers film industry f1 score evaluation indicators comprehensively investigated comparison model adaptability scores adaptability score
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