基于贝叶斯方法的高考成绩类别预测

A Prediction of College Entrance Examination Scores Based on Bayesian Method

贝叶斯分类方法不同于其他统计分类方法,它不仅利用了数据信息,而且充分利用了样品的先验信息.利用贝叶斯网络分类原理,并借助clementine12.0这一软件,对某高中的新生三年后的高考成绩类别进行预测,有利于改善学校的招生政策.

Bayesian classification is different from other statistical method, not only the da- ta information, but also the priori information of the samples. By the Bayesian classification princi- ple and the software of clementinel2.0,the article predicts the class of college entrance examina- tion scores. Meanwhile,it can improve the school＇s admissions policies.