Random generalized linear model: a highly accurate and interpretable ensemble predictor

BMC Bioinformatics

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(N³+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).

ISSN: 1471-2105