Enhancing logistic regression model through AHP-initialized weight optimization using regularization and gradient descent adaptation: A comparative study

• Main Authors: Ahmad Alif, Kamal, Mohd. Asyraf, Mansor, Mohd. Shareduwan, Mohd. Kasihmuddin
• Format: Article
• Language: English
• Published: Lviv Polytechnic National University 2025
• Subjects: QA Mathematics; QA75 Electronic computers. Computer science
• Online Access: 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

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...