Research Article
Ensemble Classifier for Epileptic Seizure Detection for Imperfect EEG Data
Table 5
Confusion matrix for noisy data (SNR = 10 dB).
(a) |
| | True class label | | | | | |
| Predicted class label | | | | | | 1.00 | 0.52 | 0.00 | 0.263 | | 0.00 | 0.48 | 0.12 | 0.252 | | 0.00 | 0.00 | 0.88 | 0.248 | | 0.235 | 0.275 | 0.264 | |
| = ANN | | 0.257 | |
|
|
(b) |
| | True class label | | | | | |
| Predicted class label | | | | | | 0.86 | 0.38 | 0.08 | 0.252 | | 0.14 | 0.62 | 0.36 | 0.260 | | 0.00 | 0.00 | 0.56 | 0.246 | | 0.246 | 0.240 | 0.272 | |
| = NB | | 0.254 | |
|
|
(c) |
| | True class label | | | | | |
| Predicted class label | | | | | | 1.00 | 0.22 | 0.08 | 0.232 | | 0.00 | 0.78 | 0.12 | 0.234 | | 0.00 | 0.00 | 0.80 | 0.253 | | 0.262 | 0.206 | 0.239 | |
| = -NN | | 0.237 | |
|
|
(d) |
| | True class label | | | | | |
| Predicted class label | | | | | | 1.00 | 0.30 | 0.02 | 0.253 | | 0.00 | 0.66 | 0.00 | 0.253 | | 0.00 | 0.04 | 0.98 | 0.253 | | 0.257 | 0.279 | 0.225 | |
| = SVM | | 0.252 | |
|
|