From: A new regularized least squares support vector regression for gene selection
Procedures | Classifier | No. of genes | Accuracy | SD |
---|---|---|---|---|
A: Proposed selection and criterion | ||||
RLS-SVR | Â | Â | Â | Â |
δ j ≥ 1/q | +KFDA | 4 | 0.9250 | 0.0083 |
 | +SVM | 4 | 0.9067 | 0.0082 |
∑ δ j ≥ 80% | +KFDA | 5 | 0.9200 | 0.0163 |
 | +SVM | 5 | 0.9183 | 0.0157 |
q genes | +KFDA | 10 | 0.9400 | 0.0186 |
 | +SVM | 10 | 0.9300 | 0.0167 |
B: Other selection procedures | ||||
EB | +KFDA | 9 | 0.9283 | 0.0076 |
 | +SVM | 9 | 0.9200 | 0.0194 |
SGS1 | +KFDA | 10 | 0.925 | 0.0083 |
 | +SVM | 10 | 0.9100 | 0.0153 |
SGS2 | +KFDA | 10 | 0.9283 | 0.0076 |
 | +SVM | 10 | 0.9100 | 0.0186 |
C: Selection and classification together | ||||
 | IFFS | 5 | 0.8806 | 0.0167 |
 | SVM-RFE | 8 | 0.9032 | n.a. |
 | EB | 9 | 0.919 | n.a. |