The Frontiers of Society, Science and Technology, 2024, 6(7); doi: 10.25236/FSST.2024.060703.
Yonghao Hong
School of Liberal Arts, Nanjing University, Nanjing, Jiangsu, 210000, China
The influence factors of the war film box office are divided into two parts according to external factors and internal components, with a total of 15 types of variables. The regression effect of war film box office is compared based on 10 machine learning regression models, it is found that Random Forest model shows high reliability. According to the concept of econometrics, the narrative rhythm of war film can be measured qualitatively through the quantitative expression of 8 internal elements. It is found that there is a correlation between narrative rhythm and film box office. Taking 8 elements as independent variables and narrative rhythm coordination degree as dependent variable, 10 kinds of machine learning classification are carried out, and it is found that AdaBoost model is the most reliable.
machine learning; war film; influencing factors; narrative rhythm; commercialization
Yonghao Hong. Reliability Analysis of Multiple Machine Learning Methods in Influencing Factors Analysis and Prediction of War Film Box Office——Coordination and Optimization between Narrative Rhythm and Box Office Performance of War Film. The Frontiers of Society, Science and Technology (2024), Vol. 6, Issue 7: 12-16. https://doi.org/10.25236/FSST.2024.060703.
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