Table 2: The () 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