Research Article
Ensemble Classifier for Epileptic Seizure Detection for Imperfect EEG Data
Table 4
Confusion matrix for noisy data (SNR = 5 dB).
(a) |
| | True class label | | | | | |
| Predicted class label | | | | | | 0.94 | 0.31 | 0.02 | 0.260 | | 0.06 | 0.68 | 0.03 | 0.267 | | 0.00 | 0.01 | 0.95 | 0.249 | | 0.320 | 0.192 | 0.529 | |
| = ANN | | 0.258 | |
|
|
(b) |
| | True class label | | | | | |
| Predicted class label | | | | | | 0.94 | 0.36 | 0.00 | 0.254 | | 0.06 | 0.62 | 0.00 | 0.275 | | 0.00 | 0.02 | 1.00 | 0.247 | | 0.252 | 0.172 | 0.391 | |
| = NB | | 0.258 | |
|
|
(c) |
| | True class label | | | | | | | | | | |
| Predicted class label | | | | | | 0.91 | 0.50 | 0.00 | 0.227 | | 0.09 | 0.50 | 0.011 | 0.216 | | 0.00 | 0.00 | 0.89 | 0.252 | | 0.313 | 0.252 | 0.471 | |
| = -NN | | 0.231 | |
|
|
(d) |
| | True class label | | | | | |
| Predicted class label | | | | | | 0.89 | 0.22 | 0.10 | 0.259 | | 0.11 | 0.78 | 0.08 | 0.243 | | 0.00 | 0.00 | 0.82 | 0.252 | | 0.306 | 0.185 | 0.575 | |
| = SVM | | 0.252 | |
|
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