Table 7 Normalized confusion matrix of GA-AdaBoostRBFSVM method with optimal parameter values
From: GA-AdaBoostSVM classifier empowered wireless network diagnosis
Predicted cause | ||||||||
|---|---|---|---|---|---|---|---|---|
Real cause | ED | CH | II | TLHO | EU | RP | Normal | |
ED | 0.7311 | 0.0801 | 0.0094 | 0.0141 | 0.0660 | 0.0991 | ||
CH | 0.5922 | 0.0776 | 0.1456 | 0.0097 | 0.1747 | |||
II | 0.0283 | 0.0566 | 0.6415 | 0.0754 | 0.1981 | |||
TLHO | 0.0686 | 0.0294 | 0.6715 | 0.0833 | 0.1471 | |||
EU | 0.0377 | 0.0283 | 0.0330 | 0.7924 | 0.1084 | |||
RP | 0.0144 | 0.0192 | 0.0288 | 0.0144 | 0.8076 | 0.1153 | ||
Normal | 0.0027 | 0.0003 | 0.0030 | 0.0020 | 0.0010 | 0.9908 | ||