Table 4 Sensitivity, specificity, accuracy, true positive, true negative, false positive, false negative of training and validation models.

From: Construction of a nomogram model for predicting delayed cerebral ischemia in aneurysmal subarachnoid hemorrhage patients

Model

Sensitivity

Specificity

Accuracy

True positive

(TP)

True negative

(TN)

False positive

(FP)

False negative

(FN)

Training model

0.701

0.630

0.645

54

184

108

23

Validation model

0.592

0.673

0.660

27

128

62

18

Back to article page