Abapihi, Bahriddin and Mukhsar, M and Wibawa, Gusti Ngurah Adhi and Baharuddin, B and Lumbanraja, Favorisen R and Faisal, Mohammad Reza and Sani, Asrul (2021) Parameter estimation for high dimensional classification model on colon cancer microarray dataset. In: 2nd Workshop on Engineering, Education, Applied Sciences and Technology (WEAST) 2020 5 October 2020, Makassar, Indonesia, 5 October 2020, Makassar, Indonesia.
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Abstract
In classification problems, logistic regression is among powerful techniques for discrimination. It provides directive probabilities of sample classification and interpretable coefficients. When it comes to model high dimensional dataset, however, logistic regression with its Newton-Raphson method of parameter estimation is no longer applicable, especially on low sample size and extremely high dimension. By applying cross-entropy algorithm on regularized logistic regression, it was able to well performing parameter estimation and highly accurate classification result.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Fakultas Matematika dan Ilmu Pengetahuan Alam (FMIPA) > Prodi Sistem Informasi |
| Depositing User: | Favorisen R Lumbanraja |
| Date Deposited: | 04 Jun 2021 01:33 |
| Last Modified: | 04 Jun 2021 01:33 |
| URI: | http://repository.lppm.unila.ac.id/id/eprint/31661 |
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