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Table 3 Ten-fold cross-validation results of each model

From: Revealing potential diagnostic gene biomarkers of septic shock based on machine learning analysis

Classifier

Accuracy

Sensitivity

Specificity

AUC

DT

0.935

0.949

0.953

0.962

RF

0.978

0.969

0.977

0.993

SVM

0.963

0.955

0.953

0.991

  1. DT decision tree, RF random forest, SVM support vector machines, AUC area under curve
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BMC Infectious Diseases

ISSN: 1471-2334

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