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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