Table 1 |
||||
Default setting of nFeaturesInBag | ||||
N | nFeaturesInBag/N | N^{∗} | nFeaturesInBag/N | |
No interaction | 1−10 | 1 | 1−10 | 1 |
11−300 | 1.0276−0.00276N | 11−300 | 1.0276−0.00276N^{∗} | |
>300 | 0.2 | >300 | 0.2 | |
2-way interaction | 1−4 | 1 | 1−10 | 1 |
5−24 | 1.0276−0.00276N(N+1)/2 | 11−300 | 1.0276−0.00276N^{∗} | |
>24 | 0.2 | >300 | 0.2 | |
3-way interaction | 1−3 | 1 | 1−10 | 1 |
4−12 | 1.0276−0.00276(N^{3}+5N)/6 | 11−300 | 1.0276−0.00276N^{∗} | |
>12 | 0.2 | >300 | 0.2 |
This table shows the default values of nFeaturesInBag in terms of nFeaturesInBag/N for RGLM, RGLM.inter2 and RGLM.inter3. N is the total number of features of the training data. N^{∗} is the effective number of features which equals the number of features N plus the number of interaction terms. Formulas are shown in terms of both N and the corresponding N^{∗}. 1.0276 and 0.00276 are obtained by interpolating a straight line between (10,1) and (300, 0.2).
Song et al.
Song et al. BMC Bioinformatics 2013 14:5 doi:10.1186/1471-2105-14-5