Increasing Accuracy in Predicting Student Test Scores with Regression Using Domain Reduction Technique of Principal Component Analysis
Author:
Affiliation:
1. University of Maryland Baltimore County,Information Systems Department,Baltimore,Maryland,USA
2. University of the West Indies,Computer Science and Artificial Intelligence,Antigua and Barbuda
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10342661/10342889/10343341.pdf?arnumber=10343341
Reference23 articles.
1. Predicting Student Performance and Its Influential Factors Using Hybrid Regression and Multi-Label Classification
2. Predicting Academic Success: A Longitudinal Study of University Design Students
3. Using Data Mining Techniques to Predict Student Performance to Support Decision Making in University Admission Systems
4. Predicting academic performance of student using classification techniques
5. Increasing Accuracy in Predicting Student Test Scores with Neural Networks using Domain Reduction Technique of Principal Component Analysis
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