Table 11 Comparison of best classification accuracy for the Lung Cancer dataset
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 | 145 (97.34%) | yes |
| Â | 2 | 144 (96.64%) | Â |
attribute reduction + k-NNs [9] | 2 | 146 (97.99%) | no |
PCLs [50] | unknown | 146 (97.99%) | yes |
C4.5 [50] | 1 | 122 (81.88%) | yes |
Bagging [50] | unknown | 131 (87.92%) | yes |
Boosting [50] | unknown | 122 (81.88%) | yes |
SVMs [50] | unknown | 148 (99.33%) | no |
k-NNs [50] | unknown | 148 (99.33%) | no |
discretization + decision trees [11] | unknown | 139 (93.29%) | yes |
RCBT [13] | 10-40 | 146 (97.99%) | yes |
gene expression ratios [15] | 6 | 148 (99.33%) | no |