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Table 5 The specificity, sensitivity, AUC, PPV, NPV and F1 score of the validate set in 5-year cohort, respectively

From: Development and testing of a random forest-based machine learning model for predicting events among breast cancer patients with a poor response to neoadjuvant chemotherapy

 

5-year cohort

Random forest

Logistics regression

Validate set

Specificity

0.765 (0.708–0.814)

0.833 (0.782–0.875)

Sensitivity

0.812 (0.757–0.857)

0.376 (0.316–0.440)

AUC (95% CI)

0.779 (0.613–0.945)

0.619 (0.572–0.666)

PPV

0.766

0.681

NPV

0.811

0.585

F1 score

0.788

0.484