Decision tree based students' grades analysis

Admir Mujkic, Ivan Boban, I. Dugandžić, N. Bijedić
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引用次数: 2

Abstract

A decision tree is a technique of modeling algorithm for solving classification and prediction problems. The data collected on students and their proficiency as input parameters for the study classifies and predicts outcome for students who will take the exams in the future. The study establishes a correlation between cases as a relationship or correlation between different phenomena represented by values of two variables. Decision tree as a model for classification is presented in the case of predicting the outcome of exams.
基于决策树的学生成绩分析
决策树是解决分类和预测问题的一种建模算法技术。收集的学生数据及其熟练程度作为研究的输入参数,对将来参加考试的学生进行分类并预测结果。研究将案例之间的相关性建立为两个变量值所代表的不同现象之间的关系或相关性。在预测考试结果的情况下,提出了决策树作为分类模型。
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