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Table 9 Classification results obtained using the top 20 features selected by four different feature selection algorithms

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

Feature selection Accuracy (%) Sensitivity (%) Specificity (%)
Relief-F [38] 85.2 88.0 82.0
Pearson correlation coefficient [39] 80.9 80.0 82.0
Neighbourhood component analysis [40] 75.7 75.0 76.0
Term variance [41] 60.0 66.0 52.0