Research Article
Ensemble Classifier for Epileptic Seizure Detection for Imperfect EEG Data
Table 3
Confusion matrix for noisy data (SNR = 1 dB).
(a) |
| | True class label | | | | | |
| Predicted class label | | | | | | 0.88 | 0.38 | 0.04 | 0.249 | | 0.12 | 0.61 | 0.02 | 0.267 | | 0.00 | 0.01 | 0.94 | 0.249 | | 0.257 | 0.251 | 0.255 | |
| = ANN | | 0.257 | |
|
|
(b) |
| | True class label | | | | | |
| Predicted class label | | | | | | 0.82 | 0.40 | 0.00 | 0.248 | | 0.18 | 0.59 | 0.00 | 0.252 | | 0.00 | 0.01 | 1.00 | 0.249 | | 0.239 | 0.243 | 0.271 | |
| = NB | | 0.217 | |
|
|
(c) |
| | True class label | | | | | | | | | | |
| Predicted class label | | | | | | 0.92 | 0.46 | 0.00 | 0.246 | | 0.08 | 0.53 | 0.07 | 0.256 | | 0.00 | 0.01 | 0.93 | 0.249 | | 0.268 | 0.218 | 0.252 | |
| = -NN | | 0.264 | |
|
|
(d) |
| | True class label | | | | | |
| Predicted class label | | | | | | 0.81 | 0.30 | 0.05 | 0.257 | | 0.19 | 0.70 | 0.13 | 0.225 | | 0.00 | 0.00 | 0.82 | 0.252 | | 0.236 | 0.288 | 0.222 | |
| = SVM | | 0.262 | |
|
|