From: Accurate molecular classification of cancer using simple rules
Methods (feature selection + classification) | #Selected genes | #Correctly classified samples (accuracy) | Rule-based classifier |
---|---|---|---|
depended degree + decision rules [this work] | 1 | 31 (91.18%) | yes |
 | 2 | 27 (79.41%) |  |
TSP [14] | 2 | 32 (94.12%) | yes |
PCLs [50] | unknown | 33 (97.06%) | yes |
discretization + Single C4.5 [11] | unknown | 23 (67.65%) | yes |
discretization + Bagging C4.5 [11] | unknown | 25 (73.53%) | yes |
discretization + AdaBoost C4.5 [11] | unknown | 23 (67.65%) | yes |
RCBT [13] | unknown | 33 (97.06%) | yes |
SVMs [13] | unknown | 27 (79.41%) | no |
signal to noise ratios + k-NNs [18]d | 4 | 26 (77.2%) | no |
 | 16 | 29 (85.7%) | no |