Table 2 Model performance indicators.

From: Prediction of Intracranial Aneurysm Risk using Machine Learning

Model

AUROC

95% confidence interval

Sensitivity

Specificity

p-values

vs. LR

vs. RF

vs. DNN

XGB

0.765

0.742–0.788

0.805

0.613

0.485

0.049

0.010

LR

0.762

0.739–0.784

0.788

0.621

—

0.487

0.021

RF

0.757

0.733–0.779

0.815

0.591

 

—

0.197

DNN

0.748

0.724–0.770

0.853

0.571

  

—

  1. AUROC = area under the receiver operating characteristic curve; LR = logistic regression; RF = random forest; DNN = deep neural networks; XGB = scalable tree boosting system.
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