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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