Table 3

The average 10-fold cross validation accuracy of ensembles of size m, for m = 1..30 in continental population classification problem
Number of models in the ensemble (m) Number of ensembles The average 10-fold cross validation accuracy of ensembles of size m (Acc)
1 30 95.38
2 435 91.34
3 4060 98.36
4 27405 97.03
5 142506 99.32
6 593775 98.81
7 2035800 99.67
8 5852926 99.44
9 14300000 99.93
10 30000000 99.92
11 54600000 99.98
12 86500000 99.96
13 120000000 99.99
14 145000000 99.99
15 155000000 99.99
16 145000000 99.99
17 120000000 99.99
18 86500000 99.99
19 54600000 99.99
20 30000000 99.99
21 14300000 99.99
22 5852926 99.99
23 2035800 99.99
24 593775 99.99
25 142506 99.99
26 27405 99.99
27 4060 99.99
28 435 99.99
29 30 99.99
30 1 100

Hajiloo et al.

Hajiloo et al. BMC Bioinformatics 2013 14:61   doi:10.1186/1471-2105-14-61

Open Data