> ## Content Index > Fetch the complete content index at: https://www.coios.me/llms.txt > Use this file to discover other available public pages before exploring further. # Gradient boosting did no better than logistic regression on HPV vaccine hesitancy - URL: https://www.coios.me/gradient-boosting-did-no-better-than-logistic-regression-on/ - Published: 2026-09-21T08:04:46.000Z - Updated: 2026-09-21T08:04:46.000Z - Description: In 1,156 Cameroonian parents of children aged 9 to 18, XGBoost, random forest and logistic regression predicted HPV vaccine hesitancy almost identically (AUC 0.841-0.870, XGBoost 0.870 against 0.869, p=0.965), with logistic regression the best calibrated. - Author: Daniel Ryan - Tags: Emergent technology, AI in medicine, Infectious disease and pandemics, Cameroon, #preprint, #confirms, #item, #source-2026-09 A secondary analysis of a cross-sectional survey of 1,156 parents in the Buea Health District, Cameroon, developed and internally validated three models of HPV vaccine hesitancy, in a preprint. Discrimination was comparable across logistic regression, random forest and XGBoost (AUC 0.841-0.870), and logistic regression had the highest sensitivity (73.1%) and lowest Brier score (0.1435). Most predictive weight fell on insufficient vaccine information, perceived unsafety and distrust in the Ministry of Health rather than on sociodemographic variables. *Why it is interesting: Another case of algorithmic complexity buying nothing over logistic regression on tabular survey data, here in a low-resource vaccination setting.* Source [medRxiv, 20 September 2026](https://doi.org/10.64898/2026.09.18.26363393?ref=coios.me) DOI 10.64898/2026.09.18.26363393 Type Preprint Design Secondary analysis of a cross-sectional survey of 1,156 parents in Buea Health District, Cameroon; 80/20 split, internal validation only Verdict Confirms prior evidence Driver [AI in medicine](https://www.coios.me/d-ai-medicine/) Driver [Infectious disease and pandemics](https://www.coios.me/d-infectious-disease/)