Response surface-driven hyperparameter optimization for XGBoost

This work uses the response surface methodology (RSM) to determine the hyperparameters with which the XGBoost should work to improve its specificity in classifying patients with breast cancer. The algorithm was compared against two other machine learning algorithms, and its results were the worst co...

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Bibliographic Details
Main Author: Oliva, Diego (author)
Other Authors: Pérez-Cisneros, Marco (author), Ramos-Frutos, Jorge (author), Ramos-Soto, Oscar (author), Ruiz-Sandoval, María Guadalupe (author), Sharawi, Marwa (author), Vasquez-Ramos, Jair (author)
Format: article
Published: 2025
Online Access:http://hdl.handle.net/11675/14457
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