Skip to main content

Table 5 Accuracy (ACC), sensitivity (SN), specificity (SP), positive predictive value (PPV), negative predictive value (NPV) for model 1 and 2 for prediction of hospital mortality (95%CI)

From: Support vector machine versus logistic regression modeling for prediction of hospital mortality in critically ill patients with haematological malignancies

 

MLR model1

SVM model1

MLR model2

SVM model2

ACC

0.730

(0.632–0.814)

0.680

(0.579–0.770)

0.740

(0.643–0.823)

0.680

(0.579–0.770)

SN

0.740

(0.603–0.850)

0.630

(0.487–0.760)

0.722

(0.583–0.835)

0.630

(0.487–0.757)

SP

0.717

(0.565–0.840)

0.740

(0.589–0.857)

0.761

(0.612–0.874)

0.739

(0.589–0.857)

PPV

0.755

(0.617–0.862)

0.740

(0.589–0.857)

0.780

(0.640–0.885)

0.739

(0.589–0.857)

NPV

0.702

(0.551–0.827)

0.630

(0.487–0.757)

0.700

(0.554–0.821)

0.630

(0.487–0.757)