Table 13

Comparison of best classification accuracy for the Breast Cancer dataset

Methods (feature selection + classification)

#Selected genes

#Correctly classified samples (accuracy)

Rule-based classifier


α depended degree + decision rules [this work]

1

16 (84.21%)

yes


TSP [14]

2

79.38%e

yes


RBF [50]

67

79.38%e

yes


discretization + decision trees [11]

unknown

17 (89.47%)

yes


correlation coefficient [19]

70

17 (89.47%)

no


eLOOCV result in the total of 97 samples.

Wang and Gotoh BMC Medical Genomics 2009 2:64   doi:10.1186/1755-8794-2-64

Open Data