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Table 4 AUC-ROC and accuracy for SVM with a linear kernel as the best model trained with differentially expressed miRNAs on the training and test sets before and after hypertuning

From: Unlocking the potential of microRNAs: machine learning identifies key biomarkers for myocardial infarction diagnosis

Model

Metrics

Preset parameters

Hypertuned

Train

Test

Train

Test

SVM-linear

AUC-ROC

0.91

0.93

0.92

0.95

Accuracy

0.83

0.82

0.84

0.85