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             Publication
Journal Publication
Research Title Efficiency of Decision Tree Depth to Diagnose Mathematical Procedures in Number and Algebra for Seventh-grade Students  
Date of Distribution 3 July 2024 
Conference
     Title of the Conference The 39th International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC2024)  
     Organiser Institute of Science and Technology Graduate University (OIST)  
     Conference Place Institute of Science and Technology Graduate University (OIST) in Okinawa, Japan.  
     Province/State Okinawa, Japan  
     Conference Date 2 July 2024 
     To 5 July 2024 
Proceeding Paper
     Volume 2567 
     Issue
     Page 1-74 
     Editors/edition/publisher IEEE 
     Abstract This study is dedicated to design and compare the efficiency of predictive models with different depths of decision trees for diagnosing mathematical procedures in number and algebra. Leveraging a dataset comprising responses from 509 seventh-grade students across 4 regions in Thailand, the investigation applies the Python programming language with decision tree methodologies to construct predictive models capable of accurately determining students' proficiency in mathematical procedures. The findings of the research elucidate that model efficiency is contingent upon the depth of the decision tree. Notably, the model with a tree depth of 5 surpasses others in efficiency, evidencing an accuracy rate of 0.87 and an error rate of 0.37. Meanwhile, the model with a tree depth of 4 demonstrates slightly lower efficacy, with an accuracy rate of 0.76 and an error rate of 0.51. These results underscore the critical influence of decision tree depth on the performance of predictive models within theeducational domain. 
Author
645050251-9 Miss THANYALAK THIANNOI [Main Author]
Education Master's Degree

Peer Review Status มีผู้ประเมินอิสระ 
Level of Conference นานาชาติ 
Type of Proceeding Full paper 
Type of Presentation Oral 
Part of thesis true 
ใช้สำหรับสำเร็จการศึกษา ไม่เป็น 
Presentation awarding false 
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