|
Feat
|
Info
|
Cl
|
Perf forests
|
Perf jungles
|
Imp
|
|---|
|
10
|
3
|
2
|
0.85 (0.02)
|
0.85 (0.02)
|
0.0%
|
|
20
|
10
|
3
|
0.83 (0.02)
|
0.84 (0.02)
|
1.2%
|
|
50
|
40
|
4
|
0.64 (0.03)
|
0.69 (0.03)
|
7.8%
|
|
100
|
90
|
5
|
0.49 (0.03)
|
0.62 (0.03)
|
26.5%
|
|
200
|
150
|
6
|
0.3 (0.03)
|
0.45 (0.03)
|
50.0%
|
|
300
|
270
|
7
|
0.22 (0.03)
|
0.35 (0.03)
|
59.1%
|
|
400
|
350
|
8
|
0.18 (0.03)
|
0.29 (0.03)
|
61.1%
|
|
500
|
400
|
9
|
0.14 (0.02)
|
0.22 (0.03)
|
57.1%
|
|
1000
|
500
|
10
|
0.11 (0.02)
|
0.15 (0.03)
|
36.4%
|
|
1000
|
800
|
10
|
0.12 (0.02)
|
0.17 (0.03)
|
41.7%
|
- Each line shows the results of 30 replicate experiments, with 5-fold cross validation, 100 independent runs per fold, forests of size 100, and resultant jungles of size 10,000. Feat: number of features in the dataset. Info: number of informative features. Cl: number of target classes. Perf forests: mean performance of forests on test set across all replicates (SD). Perf jungles: mean performance of jungles on test set across all replicates (SD); a jungle’s output was computed through straightforward majority voting. Imp: Percent improvement of Perf jungles vs. Perf forests
