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Table 7 Classification results for three sets of features including all textures, all geometric features, and a combination of texture and geometry

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

Features Fine k-NN Medium k-NN Cosine k-NN Cubic k-NN Weighted k-NN
Accuracy (%) Sensitivity (%) Specificity (%) Accuracy (%) Sensitivity (%) Specificity (%) Accuracy (%) Sensitivity (%) Specificity (%) Accuracy (%) Sensitivity (%) Specificity (%) Accuracy (%) Sensitivity (%) Specificity (%)
Texture (T) 72.0 78.0 64.0 64.0 63.0 66.0 67.0 74.0 58.0 63.0 68.0 58.0 72.0 77.0 66.0
Geometry (G) 72.0 72.0 72.0 72.0 60.0 86.0 75.0 70.0 82.0 72.0 61.0 86.0 73.0 67.0 81.0
Combined (T&G) 73.0 67.0 82.0 71.0 59.0 88.0 76.0 73.0 80.0 72.0 59.0 89.0 75.0 67.0 84.0