2026-10-06T06:19:10Z https://api.figshare.com/v2/oai

oai:figshare.com:article/34074395 2026-10-05T17:59:28Z category_8 category_734 category_811 category_132 portal_5 item_type_3 month_year_10_2026

<p>Model performance results stratified by training–testing data splits.</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 summarizes model performance metrics following repeated training–testing splits, enabling assessment of robustness and variability. Metrics are reported by feature selection method, model type, population group, and random state to support transparency and reproducibility.</p> <p>(CSV)</p> 2026-10-05T17:59:24Z Dataset Dataset 10.1371/journal.pcbi.1014767.s003 https://figshare.com/articles/dataset/_p_Model_performance_results_stratified_by_training_testing_data_splits_p_/34074395 CC BY 4.0