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Table 4 Performance of different feature combinations using the random forest 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
{4} 62.2 71.7 0.697
{4, 8} 72.3 74.6 0.760
{4, 8, 5} 72.6 72.6 0.778
{4, 8, 5, 2} 72.7 75.9 0.811
  1. {2}: orientation; {4}: number of peaks on the distance vector (NumPeaks); {5}: average of distance vector; {8}: entropy