Hyper-parameter tuning for support vector machine using an improved cat swarm optimization algorithm
Support vector machine (SVM) is a supervised machine learning algorithm for classification and regression problems. SVM performs better when combined with other classifiers or optimized with an optimization algorithm. The SVM parameters such as kernel and penalty have good performance on the classif...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Nigerian Society of Physical Sciences
2023-09-01
|
Series: | Journal of Nigerian Society of Physical Sciences |
Subjects: | |
Online Access: | https://journal.nsps.org.ng/index.php/jnsps/article/view/1007 |