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Table 5 The classification results of feature subsets without feature selection

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

Feature subsets

ACC

SEN

SPC

PPV

NPV

AUC

Non-filter

0.859

0.784

0.927

0.905

0.827

0.942

W6

0.877

0.799

0.947

0.930

0.840

0.948

A6, W6

0.873

0.821

0.920

0.902

0.852

0.951

A6, M6, W6

0.873

0.821

0.920

0.902

0.852

0.950

A6, M6, W6, non-filter

0.870

0.821

0.913

0.894

0.851

0.950

  1. A6, M6, and W6 indicate six features with average, median, and wiener filters respectively
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