Table 3 Overview of precision and recall of all analyzed feature selection methods for different simulation settings
Recall | Precision | |||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A | B | C | D | E | F | G | H | K | A | B | C | D | E | F | G | H | K | |
Methods | ||||||||||||||||||
FS | 33.9 | 58.3 | 19.2 | 53.7 | 79.4 | 34.4 | 9.7 | 24.0 | 18.9 | 98.7 | 98.3 | 98.8 | 100.0 | 69.9 | 93.9 | 59.1 | 91.2 | 98.1 |
cFS | 41.6 | 66.7 | 29.1 | 62.7 | 69.3 | 40.2 | 20.5 | 27.9 | 28.2 | 95.5 | 100.0 | 92.5 | 93.1 | 37.9 | 68.2 | 58.7 | 85.7 | 92.3 |
cFS.mean | 38.8 | 65.7 | 25.2 | 59.3 | 78.3 | 40.3 | 18.6 | 27.0 | 24.7 | 97.8 | 99.0 | 97.4 | 97.8 | 59.8 | 89.9 | 65.8 | 92.0 | 97.5 |
cFS.max | 37.6 | 64.0 | 23.6 | 57.0 | 79.1 | 38.7 | 16.3 | 26.3 | 22.9 | 98.7 | 99.0 | 98.6 | 98.8 | 63.5 | 91.1 | 65.6 | 93.0 | 97.9 |
fGA | 40.6 | 66.3 | 27.4 | 55.0 | 81.7 | 38.0 | 19.0 | 27.8 | 23.8 | 97.9 | 99.5 | 98.1 | 87.3 | 59.3 | 83.7 | 68.1 | 93.8 | 98.3 |
cGA | 40.3 | 66.3 | 27.3 | 61.7 | 79.9 | 38.6 | 19.0 | 27.8 | 23.8 | 97.8 | 99.5 | 97.0 | 96.9 | 61.2 | 90.0 | 69.7 | 94.2 | 97.4 |
Filter.tTest | 34.3 | 58.7 | 18.4 | 53.0 | 98.4 | 34.7 | 8.8 | 23.9 | 18.9 | 99.5 | 99.4 | 99.8 | 100.0 | 88.2 | 95.6 | 61.5 | 93.6 | 99.8 |
Filter.Symuncert | 24.1 | 56.0 | 18.4 | 47.0 | 84.2 | 33.0 | 8.7 | 24.1 | 18.6 | 99.3 | 100.0 | 99.6 | 97.2 | 84.0 | 95.0 | 57.9 | 99.3 | 99.8 |
Filter.PraznikJMIM | 30.3 | 57.3 | 18.6 | 44.0 | 60.8 | 28.1 | 7.0 | 23.8 | 18.4 | 83.1 | 86.0 | 97.6 | 76.3 | 54.4 | 77.0 | 43.3 | 89.3 | 96.0 |
Filter.RangerImpurity | 34.3 | 57.0 | 19.1 | 53.7 | 96.0 | 33.4 | 8.9 | 24.1 | 18.8 | 93.5 | 85.5 | 99.0 | 98.8 | 85.0 | 93.3 | 60.5 | 89.9 | 98.3 |
Reference | ||||||||||||||||||
Budget constraint | 50.0 | 66.7 | 33.3 | 66.7 | 100.0 | 50.0 | 33.3 | 33.3 | 33.3 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 |
Random selection | 20.5 | 4.7 | 1.5 | 0.3 | 1.1 | 0.5 | 1.6 | 4.0 | 1.6 | 60.0 | 10.0 | 10.0 | 1.0 | 1.0 | 1.3 | 10.0 | 10.0 | 10.0 |