Table 10 Average runtime of the proposed method compared with other methods (in seconds)
Dataset | S-MVML-LA | GMEB | IGIS | Proposed |
|---|---|---|---|---|
Iris | 0.8 | 0.6 | 3.2 | 1.2 |
Cancer | 1.8 | 0.4 | 1.3 | 4.2 |
Ionosphere | 0.9 | 0.8 | 4.0 | 6.4 |
Wine | 0.7 | 0.5 | 2.2 | 2.7 |
Pid | 1.1 | 0.3 | 1.6 | 3.7 |
Wdbc | 1.6 | 0.6 | 3.3 | 8.2 |
Musk | 3.1 | 1.8 | 37.2 | 288.7 |
Dermatology-6 | 0.8 | 0.5 | 3.3 | 6.3 |
FuelCons | 3.4 | 3.2 | 15.5 | 84.9 |
Movement_libras | 6.2 | 14.5 | 319.0 | 219.6 |
Sonar | 0.8 | 0.4 | 7.5 | 10.6 |
SPECTF | 0.8 | 0.4 | 4.1 | 10.9 |
Mnist | 1751.7 | 1767.2 | 168,000 | 1461.1 |
Colon | 19.3 | 3.0 | 2310.8 | 204.6 |
Caltch101 | 2247.0 | 9794.4 | 840,000 | 94.0 |
DLBCL77 | 28.4 | 23.4 | 1958.9 | 20.3 |
Kddcup-rootkit-imap-vs-back | 11.0 | 1.3 | 14.0 | 85.3 |
Kddcup-buffer-overflow-vs-back | 2.7 | 0.8 | 7.9 | 87.7 |
Kddcup-guess-passwd-vs-satan | 2.8 | 0.7 | 7.0 | 59.9 |
Kddcup-land-vs-satan | 4.5 | 0.7 | 6.9 | 48.3 |
Cleveland | 1.7 | 0.9 | 5.4 | 7.2 |