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Table 3 Performance summary in terms of sensitivity (recall), specificity, accuracy, precision,F1-score,AUC

From: Machine learning models for prediction of invasion Klebsiella pneumoniae liver abscess syndrome in diabetes mellitus: a singled centered retrospective study

Model

Sensitivity (recall)

Specificity

Accuracy

Precision

F1-Score

AP

AUC

SVM

0.875

0.929

0.922

0.636

0.737

0.890

0.969

LR

0.875

0.875

0.875

0.500

0.636

0.880

0.967

RF

0.500

0.946

0.891

0.571

0.533

0.680

0.879

XGB

0.500

0.982

0.922

0.800

0.615

0.650

0.799

ANN

0.375

0.911

0.844

0.375

0.375

0.640

0.897

DT

0.875

0.661

0.688

0.269

0.412

0.620

0.800

KNN

0.250

1.000

0.906

1.000

0.400

0.860

0.900