Research Article
Applying Randomness Effectively Based on Random Forests for Classification Task of Datasets of Insufficient Information
Table 13
The accuracy of random forests for the data set “DB world.”
| | Number of attr. to pick randomly (R) | Worst accuracy (%) | Median accuracy (%) | Best accuracy (%) | Number of trees in random forests resulting in the best accuracy (t) |
| | 12 | 90.625 | 90.625 | 90.625 | All | | 6 (default) | 90.625 | 90.625 | 90.625 | All | | 3 | 93.75 | 93.75 | 93.75 | All | | 2 | 93.75 | 93.75 | 93.75 | All | | 1 | 93.75 | 95.3125 | 95.3125 | All except 550, 650 ~ 850, 900 ~ 1000 |
|
|
