Research Article
A Hybrid Swarm Intelligence Algorithm for Intrusion Detection Using Significant Features
Table 13
ANOVA results for specificity of classifiers.
| Source of variation | SS | df | MS | | value | -crit. |
| | SFSM | Between groups | 659.6518 | 5 | 131.9304 | 52.5347 | <0.05 | 2.772853 | Within groups | 45.20339 | 18 | 2.511299 | | | |
| Total | 704.8551 | 23 | | | | |
| | RFSM | Between groups | 617.818 | 5 | 123.5636 | 23.53957 | <0.05 | 2.772853 | Within groups | 94.48535 | 18 | 5.249186 | | | |
| Total | 712.3033 | 23 | | | | |
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SS: sum of squared deviations about mean; df: degrees of freedom; MS: variance.
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