Skip to main content

Table 3 Accuracy, sensitivity and specificity of the prediction models

From: Prediction models for early diagnosis of actinomycotic osteomyelitis of the jaw using machine learning techniques: a preliminary study

Model

Accuracy

Sensitivity

Specificity

PPV

NPV

LR

0.80

0.81

0.80

0.65

0.90

RF

0.82

0.86

0.80

0.67

0.92

ANN

0.79

0.76

0.80

0.64

0.88

SVM

0.82

0.76

0.84

0.70

0.88

XGB

0.79

0.90

0.73

0.61

0.94

Age

0.69

0.69

0.69

0.83

0.51

  1. LR logistic regression, RF random forest, ANN artificial neural network, SVM support vector machine, XGB extreme gradient boosting, PPV positive predictive value, NPV negative predictive value
Back to article page

BMC Oral Health

ISSN: 1472-6831

Contact us