Optimizing SVM Hyperparameters using Predatory Swarms Algorithms for Use Case Points Estimation

Optimizing SVM Hyperparameters using Predatory Swarms Algorithms for Use Case Points Estimation

The productivity factor is one of the key cost drivers in use case points estimation. However, this factor is uncertain because it is obtained from experts' guesses and does not depend on reliable historical data. This study aims to optimize the hyperparameters of the support vector machine tec...

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Bibliographic Details
Main Authors: Ardiansyah, Ardiansyah, Ferdiana, Ridi, Permanasari, Adhistya Erna
Format: Conference or Workshop Item
Language:English
Published: 2022
Subjects:
Electrical and Electronic Engineering not elsewhere classified
Online Access:https://repository.ugm.ac.id/282117/1/Ardiansyah%20et%20al%20-%202022%20-%20Optimizing_SVM_Hyperparameters_using_Predatory_Swarms_Algorithms_for_Use_Case_Points_Estimation.pdf

Internet

https://repository.ugm.ac.id/282117/1/Ardiansyah%20et%20al%20-%202022%20-%20Optimizing_SVM_Hyperparameters_using_Predatory_Swarms_Algorithms_for_Use_Case_Points_Estimation.pdf

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