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Table 4 Accuracy, AUC-ROC, sensitivity, and specificity for machine learning models with preset and hyper-tuned hyper-parameters on the validation set

From: An exploration into the diagnostic capabilities of microRNAs for myocardial infarction using machine learning

 

Accuracy

AUC-ROC

Sensitivity

Specificity

Preset Models

SVM

0.76

0.82

1.00

0.00

GB

0.72

0.78

1.00

0.33

XGB

0.75

0.76

0.62

0.50

Hyper-tuned Models

SVM

0.79

0.85

0.74

0.82

GB

0.77

0.78

0.68

0.82

XGB

0.81

0.82

0.79

0.82

HVE

0.79

0.82

0.68

0.86