Table 6 Performance evaluation metrics for different classifiers.

From: ELTIRADS framework for thyroid nodule classification integrating elastography, TIRADS, and radiomics with interpretable machine learning

Classifier

Accuracy

Sensitivity

Specificity

Precision

F1

Logistic Regression

0.861

0.769

0.876

0.833

0.800

Random Forest

0.867

0.784

0.883

0.836

0.809

SVM (RBF)

0.922

0.892

0.939

0.892

0.892

RUS Boosted Trees

0.861

0.861

0.917

0.777

0.817

  1. Highest values are in bold.
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