Enhancing COVID-19 Classification Accuracy with a Hybrid SVM-LR Model

Enhancing COVID-19 Classification Accuracy with a Hybrid SVM-LR Model

Support ector achine (SVM) is a newer machine learning algorithm for classification, while logistic regression (LR) is an older statistical classification method. Despite the numerous studies contrasting SVM and LR, new improvements such as bagging and ensemble have been applied to them since these...

Full description

Bibliographic Details
Main Authors: Noor Ilanie Nordin, Wan Azani Mustafa, Muhamad Safiih Lola, Elissa Nadia Madi, Anton Abdulbasah Kamil, Marah Doly Nasution, Abdul Aziz K. Abdul Hamid, Nurul Hila Zainuddin, Elayaraja Aruchunan, Mohd Tajuddin Abdullah
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Bioengineering
Subjects:
support vector machine
logistic regression
hybrid modeling
small EPV classification
COVID-19 prediction
machine learning classification
Online Access:https://www.mdpi.com/2306-5354/10/11/1318

Internet

https://www.mdpi.com/2306-5354/10/11/1318

Similar Items