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Table 2 Performance of different feature combinations using the decision tree method

From: Performance of machine learning software to classify breast lesions using BI-RADS radiomic features on ultrasound images

Features Sensitivity (%) Specificity (%) Area under the curve
{6} 73.2 69.1 0.652
{6, 1} 71.2 69.2 0.653
{6, 1, 2} 71.9 73.3 0.720
{6, 1, 2, 8} 70.6 75.0 0.744
  1. {1}: area difference with equivalent ellipse; {2}: orientation; {6}: area difference between the convex hull and tumour; {8}: entropy