Komparasi Teknik Hyperparameter Optimization pada SVM untuk Permasalahan Klasifikasi dengan Menggunakan Grid Search dan Random Search
Classification is one of the important tasks in the field of Machine Learning. Classification can be viewed as an Optimization Problem (Optimization Problem) with the aim of finding the best model that can represent the relationship/pattern between data with labels. Support Vector Machine (SVM) Is a...
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| Format: | Article |
| Language: | English |
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Politeknik Negeri Batam
2023-07-01
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| Series: | Journal of Applied Informatics and Computing |
| Subjects: | |
| Online Access: | https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/5004 |
| _version_ | 1797742376553283584 |
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| author | Muhamad Fajri Aji Primajaya |
| author_facet | Muhamad Fajri Aji Primajaya |
| author_sort | Muhamad Fajri |
| collection | DOAJ |
| description | Classification is one of the important tasks in the field of Machine Learning. Classification can be viewed as an Optimization Problem (Optimization Problem) with the aim of finding the best model that can represent the relationship/pattern between data with labels. Support Vector Machine (SVM) Is an algorithm in Machine Learning used to solve problems such as Classification or Regression. The performance of the SVM algorithm is strongly influenced by parameters, for example error prediction in non-linear SVM results in parameters C and gamma. In this study, an analysis of the technique was carried out to obtain good parameter values using Grid search and Random Search on seven datasets. Evaluation is done by calculating the value of accuracy, memory usage and validity test time of the best model by the two techniques. |
| first_indexed | 2024-03-12T14:39:59Z |
| format | Article |
| id | doaj.art-4fec4663dade4912bcc2cd45a790a09c |
| institution | Directory Open Access Journal |
| issn | 2548-6861 |
| language | English |
| last_indexed | 2024-03-12T14:39:59Z |
| publishDate | 2023-07-01 |
| publisher | Politeknik Negeri Batam |
| record_format | Article |
| series | Journal of Applied Informatics and Computing |
| spelling | doaj.art-4fec4663dade4912bcc2cd45a790a09c2023-08-16T09:41:02ZengPoliteknik Negeri BatamJournal of Applied Informatics and Computing2548-68612023-07-0171101510.30871/jaic.v7i1.50045004Komparasi Teknik Hyperparameter Optimization pada SVM untuk Permasalahan Klasifikasi dengan Menggunakan Grid Search dan Random SearchMuhamad FajriAji PrimajayaClassification is one of the important tasks in the field of Machine Learning. Classification can be viewed as an Optimization Problem (Optimization Problem) with the aim of finding the best model that can represent the relationship/pattern between data with labels. Support Vector Machine (SVM) Is an algorithm in Machine Learning used to solve problems such as Classification or Regression. The performance of the SVM algorithm is strongly influenced by parameters, for example error prediction in non-linear SVM results in parameters C and gamma. In this study, an analysis of the technique was carried out to obtain good parameter values using Grid search and Random Search on seven datasets. Evaluation is done by calculating the value of accuracy, memory usage and validity test time of the best model by the two techniques.https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/5004grid searchhyper parameter optimizationrandom searchsvm |
| spellingShingle | Muhamad Fajri Aji Primajaya Komparasi Teknik Hyperparameter Optimization pada SVM untuk Permasalahan Klasifikasi dengan Menggunakan Grid Search dan Random Search Journal of Applied Informatics and Computing grid search hyper parameter optimization random search svm |
| title | Komparasi Teknik Hyperparameter Optimization pada SVM untuk Permasalahan Klasifikasi dengan Menggunakan Grid Search dan Random Search |
| title_full | Komparasi Teknik Hyperparameter Optimization pada SVM untuk Permasalahan Klasifikasi dengan Menggunakan Grid Search dan Random Search |
| title_fullStr | Komparasi Teknik Hyperparameter Optimization pada SVM untuk Permasalahan Klasifikasi dengan Menggunakan Grid Search dan Random Search |
| title_full_unstemmed | Komparasi Teknik Hyperparameter Optimization pada SVM untuk Permasalahan Klasifikasi dengan Menggunakan Grid Search dan Random Search |
| title_short | Komparasi Teknik Hyperparameter Optimization pada SVM untuk Permasalahan Klasifikasi dengan Menggunakan Grid Search dan Random Search |
| title_sort | komparasi teknik hyperparameter optimization pada svm untuk permasalahan klasifikasi dengan menggunakan grid search dan random search |
| topic | grid search hyper parameter optimization random search svm |
| url | https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/5004 |
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