Classification and Prediction of Student’s GPA using Fisher Linear Discriminant (FLD) Function
作者: R. Gunawan SantosaDepartment of Informatics Duta Wacana Christian University IndonesiaAntonius Rachmat ChrismantoDepartment of Informatics Duta Wacana Christian University Indonesia Erick KurniawanDepartment of Information System Duta Wacana Christian University Indonesia
刊名: Researchers World – Journal of Arts Science & Commerce, 2019, Vol.10 (3)
来源数据库: ERM Publications
关键词: ClassificationPredictionCrosstab tableFisher Linear Discriminant (FLD).
原始语种摘要: Classification and prediction are some of the capabilities of Data Mining. This study will implement a classification model using the Fisher Linear Discriminant (FLD) function. After the classification model is obtained, the model is used to predict the Grade Point Average category (GPA-1st). The FLD classification models used are 9 models derived from cumulative student data from 2008 to 2016 academic year. In the FLD model, GPA-1st is used as the dependent variable, while the factors of high school location, high school status, high school type, and English proficiency level are used as independent variables. These models are used to predict the GPA-1st category for students in 2017. Crosstab tables are used to measure the accuracy of the classification model and accuracy of the...
全文获取路径: ERM Publications  (合作)

  • FLD 场地
  • accuracy 准确度
  • dependent 从属的
  • model 模型
  • tables 薄片
  • Data 数据
  • classification 分类
  • variables 变量
  • proficiency 熟练
  • category