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...

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Bibliographic Details
Main Authors: Silifat Adaramaja Abdulraheem, Salisu Aliyu, Fatima Binta Abdullahi
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