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