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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