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Table 14 Classification results obtained for six different state-of-the-art classifiers using a set of nine most discriminative features

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

Classifier

Accuracy (%)

Sensitivity (%)

Specificity (%)

k-NN [49]

90.4

92.0

88.0

SVM [50]

86.1

87.7

84.0

DT [51]

73.0

80.0

64.0

NB [52]

74.8

70.8

80.0

RF [53]

78.4

78.4

78.0

ET [54]

81.7

84.6

78.0