Enhancing logistic regression model through AHP-initialized weight optimization using regularization and gradient descent adaptation: A comparative study
This study explores an approach to improving the performance of logistic regression model (LR) integrated with Analytic Hierarchy Process (AHP) for weight initialization model with regularization and adaptation of gradient descent (GD). Traditional LR model relies on random weight initialization lea...
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| 主要な著者: | , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Lviv Polytechnic National University
2025
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| 主題: | |
| オンライン･アクセス: | http://ir.unimas.my/id/eprint/47789/1/2025124132143.pdf http://ir.unimas.my/id/eprint/47789/ https://doi.org/10.23939/mmc2025.01.132 |
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