Skip to main content

Table 8 Performance of different machine learning methods obtained by Shan et al. [8]

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

Method Features Sensitivity (%) Specificity (%) Area under the curve
Decision tree {4, 3, 10, 2, 7} 74.0 82.0 0.803
Multilayer perceptron {4, 3, 2, 6, 5, 1} 78.0 78.2 0.823
Random forest {6, 10, 2, 9, 3} 75.3 82.0 0.828
Support vector machine {4, 2, 6, 3, 10} 77.3 78.2 0.842