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Table 6 Classification results for various geometry feature models

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 (%)
SHAPE 57.0 57.0 58.0 54.0 56.0 52.0 54.0 56.0 50.0 54.0 57.0 51.0 57.0 59.0 55.0
ZM 59.0 62.0 56.0 54.0 51.0 56.0 53.0 51.0 56.0 54.0 50.0 58.0 58.0 62.0 53.0
FD 74.0 72.0 77.0 72.0 62.0 85.0 71.0 62.0 85.0 71.0 60.0 85.0 72.0 66.0 80.0