Research Article
A Method of Intrusion Detection Based on WOA-XGBoost Algorithm
Table 3
The variance percentage of each feature retained after PCA dimensionality reduction.
| The variance percentage of each feature retained after PCA dimensionality reduction |
| 1 | 64.1883 | 22 | 0.00420314 | 2 | 19.3173 | 23 | 0.00325957 | 3 | 10.0053 | 24 | 0.00295817 | 4 | 1.81274 | 25 | 0.00263388 | 5 | 1.30667 | 26 | 0.00204101 | 6 | 1.02509 | 27 | 0.00198391 | 7 | 0.604916 | 28 | 0.00152331 | 8 | 0.524256 | 29 | 0.00114369 | 9 | 0.33906 | 30 | 0.000799525 | 10 | 0.252862 | 31 | 0.000453465 | 11 | 0.175139 | 32 | 0.0003868 | 12 | 0.108258 | 33 | 0.000349558 | 13 | 0.0807029 | 34 | 0.00020107 | 14 | 0.0662576 | 35 | 9.99855E-05 | 15 | 0.0455444 | 36 | 7.48492E-05 | 16 | 0.0350883 | 37 | 6.17846E-05 | 17 | 0.03191 | 38 | 7.91281E-07 | 18 | 0.0288327 | 39 | 4.33325E-31 | 19 | 0.014002 | 40 | 4.33325E-31 | 20 | 0.00916991 | 41 | 4.33325E-31 | 21 | 0.00651608 | ā | ā |
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