提出一种基于改进的TrAdaboost算法进行学生成绩排名的预测,在一定程度上解决了不同分布数据的预测问题.实验结果表明了该算法的可行性和准确性,同时也给高校学生管理和教务人员的工作都带来了便利.%This paper provides an improved TrAdaboost algorithm , and uses the algorithm to predict the rank of students who come from different departments .This algorithm can overcome the influence of different data distribution bringing , the experi-ments confirm its flexibility and accuracy .It makes some significance to bring convenience to the management of the university .
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