Research Article

Applying Randomness Effectively Based on Random Forests for Classification Task of Datasets of Insufficient Information

Table 16

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)

470382.812585.937587.5125, 600, 625, 650, 725
1568 85.937589.062590.625500, 575, 600, 625, 650, 675, 725, 850 ~ 925, 975, 1000
52389.062590.062590.625All except 100, 125, 700
17589.062589.062590.625100 ~ 175
5985.937587.589.0625100, 175, 275, 300
2685.937587.587.5All except 125, 150,
200 ~ 300, 500, 950, 975, 1000
13 (default)81.2582.812587.5200, 225
782.812584.37587.5225, 250
476.562578.12581.25325, 1000
276.562579.687581.25225, 350
173.437578.12579.6875375, 675, 775, 800