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Table 11 Classification results obtained by employing the top 20 texture, top 20 geometric, and top 20 combined texture and geometric features with six different state-of-the-art classifiers

From: Comparative analysis of proficiencies of various textures and geometric features in breast mass classification using k-nearest neighbor

Classifier Feature set Accuracy (%) Sensitivity (%) Specificity (%)
k-NN Texture features (T) 73.9 83.1 62.0
Geometry features (G) 77.4 76.0 78.0
Combined (T&G) 85.2 88.0 82.0
SVM Texture features (T) 71.3 73.8 68.0
Geometry features (G) 72.2 73.8 70.0
Combined (T&G) 81.7 84.6 78.0
DT Texture features (T) 68.9 69.2 68.0
Geometry features (G) 71.2 67.6 76.0
Combined (T&G) 71.5 73.8 68.0
NB Texture features (T) 67.9 64.6 72.0
Geometry features (G) 70.4 72.3 68.0
Combined (T&G) 77.4 75.4 80.0
RF Texture features (T) 73.9 84.6 60.0
Geometry features (G) 74.1 75.4 72.0
Combined (T&G) 80.6 86.1 74.0
ET Texture features (T) 74.4 83.0 64.0
Geometry features (G) 76.3 81.5 70.0
Combined (T&G) 81.1 83.0 78.0