2026-10-09T18:40:38Z https://api.figshare.com/v2/oai

oai:figshare.com:article/34074392 2026-10-05T17:59:27Z category_8 category_734 category_811 category_132 portal_5 item_type_3 month_year_10_2026

<p>Raw model performance results across feature selection methods and population groups.</p> Cameron G. Celeste (25317419) Carleigh C. Sokolik (25317422) Wambui Gachunga (25317425) Ivana K. Parker (24236370) Microbiology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Infectious Diseases various adverse obstetric sexually transmitted infections based decision boundaries age women globally 16s rrna data support vector machine random forest models create predictive models machine learning architectures key vaginal flora inform bv diagnostics bv negative outcomes machine learning train models performing models xlink "> term birth six anaerobes rigorous comparison relative abundances patients presenting pathogenesis research important bacteria gradual shifts diagnostic point cervical cancer balanced accuracy bacterial vaginosis anaerobic bacteria <p>This table contains the complete set of unfiltered machine-learning model outputs, including balanced accuracy (BA), average precision (AP), false positive rate (FPR), and false negative rate (FNR). Results are reported across multiple feature selection techniques, model types, random seeds, and population strata.</p> <p>(CSV)</p> 2026-10-05T17:59:24Z Dataset Dataset 10.1371/journal.pcbi.1014767.s002 https://figshare.com/articles/dataset/_p_Raw_model_performance_results_across_feature_selection_methods_and_population_groups_p_/34074392 CC BY 4.0