Research Article
Unbiased Feature Selection in Learning Random Forests for High-Dimensional Data
Table 6
The accuracy of prediction and error bound
of the models using a small subspace
; better values are bold.
| Dataset | Error bound | Test accuracy (%) | | | RF | wsRF | xRF | RF | GRRF | wsRF | xRF |
| Fbis | .2149 | .1179 | .1209 | 76.42 | 76.51 | 84.14 | 84.69 | 201 | 555 | La2s | 152.6 | .0904 | .0780 | 66.77 | 67.99 | 87.26 | 88.61 | 353 | 1136 | La1s | 40.8 | .0892 | .1499 | 77.76 | 80.49 | 86.03 | 87.21 | 220 | 1532 |
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