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oai:figshare.com:article/34074419 2026-10-05T17:59:36Z category_8 category_734 category_811 category_132 portal_5 item_type_3 month_year_10_2026

<p>Key Bacteria Determined using Permutation Importance. The table shows the permutation importance score of bacteria for each group. The score represents the reduction in balanced accuracy due to shuffling of the values corresponding to that bacteria. A blank means the bacteria did not score as important for that group.</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>Key Bacteria Determined using Permutation Importance. The table shows the permutation importance score of bacteria for each group. The score represents the reduction in balanced accuracy due to shuffling of the values corresponding to that bacteria. A blank means the bacteria did not score as important for that group.</p> 2026-10-05T17:59:24Z Dataset Dataset 10.1371/journal.pcbi.1014767.t002 https://figshare.com/articles/dataset/_p_Key_Bacteria_Determined_using_Permutation_Importance_The_table_shows_the_permutation_importance_score_of_bacteria_for_each_group_The_score_represents_the_reduction_in_balanced_accuracy_due_to_shuffling_of_the_values_corresponding_to_that/34074419 CC BY 4.0