ระบบสนับสนุนการตัดสินใจออนไลน์สำหรับการเลือก สาขาวิชาของนักเรียนโรงเรียนปรินส์รอยแยลส์วิทยาลัยโดย ประยุกต์ต้นไม้ตัดสินใจแบบเจสี่สิบแปด

Thisindependent studyaims todevelop a Decision Support Systems, online, to predict the futurecurriculum ofthestudents in higher education at the PrinceRoyal'sCollege.In addition, a Decision Tree, J48, is applied to recognize the PrinceRoyal'sCollege dataset which contains students of theCh...

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Bibliographic Details
Main Author: สุรีพร ปาต๊ะ
Other Authors: ผู้ช่วยศาสตราจารย์ ดร.ชุมพล บุญคุ้มพรภัทร
Format: Independent Study
Language:Thai
Published: เชียงใหม่ : บัณฑิตวิทยาลัย มหาวิทยาลัยเชียงใหม่ 2017
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Online Access:http://cmuir.cmu.ac.th/jspui/handle/6653943832/39996
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Institution: Chiang Mai University
Language: Thai
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Summary:Thisindependent studyaims todevelop a Decision Support Systems, online, to predict the futurecurriculum ofthestudents in higher education at the PrinceRoyal'sCollege.In addition, a Decision Tree, J48, is applied to recognize the PrinceRoyal'sCollege dataset which contains students of theChiang Mai University and the Prince Royal's College. I adjusted the parameter of theDecision Tree, J48, to complement the experimentscalled the U parameter, Induction of Model Trees, and the Non-pruning Decision Tree,which totaled 75.39 % of accuracy. The pruning Decision Tree totaled 75.58 % of accuracy. Finally, the result of the experiments can conclude the parameter formulation as [-U, -M, 1, -C , 0.25] which receives the satisfactory accuracy of 88.86%. As a result, my model is able to predict a student’s selected, appropriate curriculum in Chiang Mai University.