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Table 4 Classification results using each single feature

From: Thyroid nodule recognition in computed tomography using first order statistics

Feature

ACC

SEN

SPC

PPV

NPV

AUC

Entropy

0.792

0.612

0.953

0.921

0.733

0.857

Uniformity

0.690

0.343

1.000

1.000

0.630

0.807

Mean intensity

0.764

0.649

0.867

0.813

0.735

0.834

Standard deviation

0.539

0.030

0.993

0.800

0.534

0.510

Kurtosis

0.525

0.000

0.993

0.000

0.527

0.565

Skewness

0.782

0.649

0.900

0.853

0.742

0.828