Research Article
Applying Randomness Effectively Based on Random Forests for Classification Task of Datasets of Insufficient Information
Table 14
The accuracy of random forests for the data set “lung cancer.”
| 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) |
| 8 | 65.625 | 65.625 | 71.875 | 575, 600, 625, 650 | 4 (default) | 71.875 | 71.875 | 75.0 | 100, 125, 175, 200, 225, 275, 300, 325, 375, 400, 425, 450, 475, 550 | 2 | 68.75 | 71.875 | 75.0 | 125, 150, 175, 200 | 1 | 71.875 | 71.875 | 75.0 | 100 ~ 325 |
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