Mean performance for our 8 models across the 10 train-test splits.
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Metrics include sensitivity (Sens), specificity (Spec), positive predictive value (PPV), negative predictive value (NPV), F1, and accuracy (Acc), all shown as percentages. The best scores for each metric are shown in bold, and the final column presents differences in accuracy between each of the models and the most accurate model, the NB-SVM. Simultaneous confidence intervals are multiplicity-adjusted to control FWER.
创建时间：
2019-09-25
