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. 2018 May 10;34(21):3711–3718. doi: 10.1093/bioinformatics/bty373

Table 1.

Runtime (s) for growing a RF and computing a VIM on two gene expression and one GWAS dataset

Importance Gene expr.
GWAS
Leukemia Breast cancer Alzheimer
Impurity 3.7 4.2 439.3
Permutation 46.8 38.4 21 511.5
Holdout 112.5 89.1 48 772.5
AIR 3.9 5.5 535.6

Note: The RF is grown with 5000 trees using one computing thread.