Table 8 Test accuracy results (mean ± std-dev%) of random forest models against the number of genes per leaf n _min on the ten gene data sets.

.844 ± 0.5

.818 ± 0.8

.832 ± 0.7

.830 ± 0.6

.849 ± 0.3

.853 ± 0.4

.865 ± 0.5

.832 ± 0.6

.848 ± 0.5

.838 ± 0.6

.853 ± 0.3

.859 ± 0.3

.845 ± 0.5

.837 ± 0.4

.857 ± 0.5

.834 ± 0.6

.844 ± 0.4

.848 ± 0.5

.877 ± 0.4

.863 ± 0.4

.879 ± 0.3

.863 ± 0.5

.874 ± 0.3

.874 ± 0.3

245

317

.959 ± 0.3

.957 ± 0.2

.961 ± 0.2

.944 ± 0.5

.914 ± 1.0

.777 ± 1.2

.976 ± 0.2

.972 ± 0.1

.972 ± 0.2

.941 ± 0.7

.898 ± 1.1

.802 ± 1.1

.968 ± 0.3

.967 ± 0.3

.966 ± 0.3

.957 ± 0.3

.912 ± 0.5

.771 ± 0.2

.977 ± 0.2

.974 ± 0.1

.977 ± 0.1

.962 ± 0.4

.922 ± 1.1

.812 ± 1.1

606

546

.826 ± 1.2

.849 ± 0.9

.866 ± 0.9

.879 ± 0.9

.871 ± 1.0

.874 ± 1.0

.873 ± 0.9

.867 ± 0.7

.880 ± 0.9

.878 ± 0.9

.876 ± 0.9

.885 ± 0.9

.848 ± 1.0

.848 ± 0.9

.863 ± 1.0

.858 ± 1.1

.851 ± 1.0

.866 ± 1.1

.893 ± 0.7

.885 ± 0.6

.906 ± 0.7

.908 ± 0.7

.913 ± 0.7

.905 ± 0.7

502

200

.972 ± 0.2

.983 ± 0.1

.979 ± 0.3

.930 ± 1.1

.855 ± 1.2

.823 ± 0.6

.991 ± 0.1

.989 ± 0.1

.983 ± 0.3

.928 ± 1.1

.840 ± 1.1

.805 ± 0.4

.981 ± 0.2

.982 ± 0.2

.975 ± 0.4

.928 ± 0.2

.845 ± 0.3

.801 ± 0.2

.993 ± 0.1

.995 ± 0.0

.987 ± 0.3

.935 ± 1.1

.856 ± 1.2

.828 ± 0.7

1404

275

.627 ± 0.7

.618 ± 0.7

.608 ± 0.7

.622 ± 0.7

.601 ± 0.7

.640 ± 0.7

.713 ± 0.9

.623 ± 0.8

.615 ± 0.8

.627 ± 0.7

.617 ± 0.8

.643 ± 0.7

.634 ± 0.7

.627 ± 0.8

.618 ± 0.8

.619 ± 0.9

.604 ± 0.8

.626 ± 0.7

.788 ± 0.7

.766 ± 0.8

.776 ± 0.9

.776 ± 0.8

.765 ± 1.1

.780 ± 0.8

194

631

.560 ± 0.7

.568 ± 0.7

.560 ± 0.7

.581 ± 0.6

.563 ± 0.8

.567 ± 0.8

.635 ± 0.8

.580 ± 0.6

.574 ± 0.7

.586 ± 0.6

.568 ± 0.7

.580 ± 0.8

.572 ± 0.7

.575 ± 0.7

.571 ± 0.7

.579 ± 0.4

.565 ± 0.8

.580 ± 0.6

.654 ± 0.7

.657 ± 0.7

.661 ± 0.6

.670 ± 0.6

.645 ± 0.7

.648 ± 0.9

724

533

.589 ± 1.1

.584 ± 1.3

.558 ± 1.2

.470 ± 1.2

.379 ± 1.5

.206 ± 0.9

.631 ± 1.3

.592 ± 1.3

.561 ± 1.2

.483 ± 1.2

.403 ± 1.5

.228 ± 1.0

.594 ± 1.1

.589 ± 1.4

.578 ± 1.0

.478 ± 1.2

.390 ± 1.5

.239 ± 1.4

.742 ± 1.2

.731 ± 1.8

.684 ± 1.3

.552 ± 1.9

.430 ± 1.7

.248 ± 1.1

247

1345

.708 ± 1.6

.706 ± 2.0

.701 ± 1.7

.637 ± 2.1

.600 ± 3.0

.368 ± 3.0

.748 ± 1.7

.729 ± 1.9

.726 ± 1.8

.654 ± 2.3

.650 ± 4.0

.416 ± 2.9

.708 ± 1.8

.718 ± 1.9

.691 ± 1.8

.652 ± 1.7

.650 ± 3.2

.431 ± 2.3

.819 ± 1.6

.815 ± 2.0

.783 ± 1.8

.694 ± 2.1

.679 ± 3.0

.405 ± 3.4

1270

1219

.887 ± 0.4

.894 ± 0.4

.895 ± 0.4

.891 ± 0.3

.882 ± 0.3

.891 ± 0.3

.929 ± 0.2

.916 ± 0.2

.916 ± 0.2

.908 ± 0.3

.907 ± 0.3

.917 ± 0.2

.908 ± 0.2

.911 ± 0.3

.913 ± 0.3

.906 ± 0.3

.897 ± 0.3

.908 ± 0.3

.926 ± 0.2

.928 ± 0.1

.927 ± 0.2

.919 ± 0.2

.915 ± 0.2

.926 ± 0.2

601

323

.840 ± 0.4

.846 ± 0.4

.849 ± 0.3

.845 ± 0.4

.832 ± 0.3

.839 ± 0.3

.855 ± 0.5

.842 ± 0.4

.848 ± 0.3

.848 ± 0.4

.832 ± 0.3

.834 ± 0.4

.841 ± 0.4

.841 ± 0.4

.845 ± 0.3

.842 ± 0.4

.828 ± 0.3

.832 ± 0.3

.909 ± 0.4

.906 ± 0.4

.904 ± 0.4

.902 ± 0.5

.888 ± 0.4

.901 ± 0.4

108

669