利用贝叶斯分类模型实现对农村电影订购场次的预测

Prediction of Countryside Film Subscriptions with Bayesian Classification Models

影片订购场次是衡量一部电影在农村市场受欢迎程度的重要指标。文章通过分析影响影片订购场次的特征因素,利用贝叶斯分类理论构建了一套适用于农村电影市场的订购场次预测模型。通过样本测试可知预测模型有效,同时也从中挖掘出了影响订购场次的主要因素,为投资者提供合理参考。

The number of films subscriptions is an important indicator of a film's popularity in countryside markets.The article analyses the factors affecting the number of films subscriptions and formulates a model for predicting the number of subscriptions in the countryside film market using Bayesian classification theory.Through sample testing,the prediction model was found to be effective and the main factors influencing the number of subscriptions were also uncovered,providing investors with a reasonable reference.