With the improvement of people's material living standards, people's demand for cultural life is also increasing. As a cultural form, film has attracted more and more people's attention and love, and the Chinese film market is also growing. As the most intuitive indicator to measure a movie, the box office has been widely concerned. Therefore, establishing a model to accurately predict the movie box office helps promote the benign development of movies and provides opportunities for movie makers to improve the quality of movies. This study selects the relevant data information of 421 films from 2002 to 2022, takes the release year, film type, and clustering type as independent variables, and takes film box office as dependent variables, and establishes the stochastic forest classification model and stochastic forest prediction model. Results On the surface, the movie box office prediction model based on random forest established in this study has a high reliability, and the R square reaches 93.6%, which provides a reliable method for the expected box office of the movie box office and mining the influencing factors of the movie box office.
Random forest; Data features; Correlation analysis; Movie box office prediction
Ye M., Chen X., Cao Y., Chen R., Wu Y., Ning D., Liu S., Luo J., Cui J., Tang K., Li Z. A Study on Chinese Film Market Box Office Prediction Based on Random Forest. Eng. Solut. Mech. Mar. Struct. Infrastruct., year, volume(issue), doi: 10.58531/esmmsi/1/3/5
