Table 4.
The LOOCV error rates on the simulation data
| # of selected features | All | 1000 | 500 | 200 | 100 | 50 | 30 | 20 | 10 | 5 |
|---|---|---|---|---|---|---|---|---|---|---|
| 3-tuple |
0.16 |
- |
- |
- |
- |
0.18 |
0.28 |
0.28 |
0.28 |
NaN |
| 4-tuple |
0.14 |
- |
- |
0.14 |
0.18 |
0.18 |
0.24 |
0.34 |
0.40 |
NaN |
| 5-tuple |
0.06 |
0.06 |
0.06 |
0.08 |
0.02 |
0.02 |
0.02 |
0.00 |
0.02 |
0.12 |
| 6-tuple |
0.04 |
0.04 |
0.04 |
0.04 |
0.02 |
0.00 |
0.00 |
0.00 |
0.00 |
0.00 |
| 7-tuple |
0.10 |
0.00 |
0.00 |
0.00 |
0.00 |
0.00 |
0.00 |
0.00 |
0.04 |
0.04 |
| 8-tuple | 0.26 | 0.10 | 0.10 | 0.14 | 0.28 | 0.30 | 0.40 | 0.46 | 0.42 | 0.46 |
This table shows the LOOCV error rates when no seed is inserted in group 1 and five seeds of length 6 are inserted in group 2 with the seed density 0.005.
“# of selected” indicates the number of feature selected in each level. “features” indicates the k-tuple feature with the particular value of k. “all” is the situation when all the 4k features are used. “-” is the feature selection level does not exist for the particular k value. “NaN” means the method failed to converge to a result within a given amount of time.