Table 2.
The (c/s2) error bound results of random forest models against the number of codebook size on the Caltech and Horse datasets. The bold value in each row indicates the best result.
| Dataset | Model | 300 | 500 | 1000 | 3000 | 5000 | 7000 | 10000 | 12000 | 15000 |
|---|---|---|---|---|---|---|---|---|---|---|
| Caltech | xRF | .0312 | .0271 | .0280 | .0287 | .0357 | .0440 | .0650 | .0742 | .0789 |
| RF | .0369 | .0288 | .0294 | .0327 | .0435 | .0592 | .0908 | .1114 | .3611 | |
| wsRF | .0413 | .0297 | .0268 | .0221 | .0265 | .0333 | .0461 | .0456 | .0789 | |
|
| ||||||||||
| Horse | xRF | .0266 | .0262 | .0246 | .0277 | .0259 | .0298 | .0275 | .0288 | .0382 |
| RF | .0331 | .0342 | .0354 | .0374 | .0417 | .0463 | .0519 | .0537 | .0695 | |
| wsRF | .0429 | .0414 | .0391 | .0295 | .0288 | .0333 | .0295 | .0339 | .0455 | |