Fig. 5: False positive and false negative rates for SVM models using T Test feature selection. | npj Digital Medicine

Fig. 5: False positive and false negative rates for SVM models using T Test feature selection.

From: Ethnic disparity in diagnosing asymptomatic bacterial vaginosis using machine learning

Fig. 5: False positive and false negative rates for SVM models using T Test feature selection.The alternative text for this image may have been generated using AI.

a The false positive rate for the T Test feature selection method tested on each ethnicity. b The false negative rate for the T Test feature selection method tested on each ethnicity. Outliers are excluded. Values for boxplots are available in Supplementary Tables 10 and 11.

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