A Regression Analysis Approach for Feature Selection in Student Achievement Data
Author:
Affiliation:
1. United Arab Emirates University,Al Ain,UAE
2. University of Queensland Brisbane,Queensland,Australia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10366456/10366409/10366412.pdf?arnumber=10366412
Reference21 articles.
1. Logistic Regression Versus Neural Networks: The Best Accuracy in Prediction of Diabetes Disease
2. Elimination and Backward Selection of Features (P-Value Technique) In Prediction of Heart Disease by Using Machine Learning Algorithms
3. A logistic regression with recursive feature elimination model for breast cancer diagnosis;Mathew;International Journal on Emerging Technologies,2019
4. FINDING THE BEST ALGORITHMS AND EFFECTIVE FACTORS IN CLASSIFICATION OF TURKISH SCIENCE STUDENT SUCCESS
5. The Relationship between the School Resources index; Gender; Age and Mathematics Achievement in TIMSS 2019 survey: Multilevel analysis
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
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