Research Article
Ensemble Classifier for Epileptic Seizure Detection for Imperfect EEG Data
Table 2
Confusion matrix for noiseless data.
(a) |
| | True class label | | | | | |
| Predicted class label | | | | | | 0.88 | 0.12 | 0.02 | 0.273 | | 0.12 | 0.85 | 0.02 | 0.252 | | 0.00 | 0.03 | 0.96 | 0.245 | | 0.247 | 0.288 | 0.251 | |
| = ANN | | 0.259 | |
|
|
(b) |
| | True class label | | | | | |
| Predicted class label | | | | | | 0.90 | 0.23 | 0.00 | 0.252 | | 0.10 | 0.75 | 0.01 | 0.256 | | 0.00 | 0.02 | 0.99 | 0.248 | | 0.253 | 0.254 | 0.258 | |
| = NB | | 0.254 | |
|
|
(c) |
| | True class label | | | | | |
| Predicted class label | | | | | | 0.96 | 0.37 | 0.01 | 0.226 | | 0.04 | 0.63 | 0.09 | 0.244 | | 0.00 | 0.00 | 0.90 | 0.253 | | 0.270 | 0.214 | 0.235 | |
| = -NN | | 0.239 | |
|
|
(d) |
| | True class label | | | | | |
| Predicted class label | | | | | | 0.97 | 0.19 | 0.07 | 0.249 | | 0.03 | 0.81 | 0.12 | 0.248 | | 0.00 | 0.00 | 0.81 | 0.253 | | 0.230 | 0.244 | 0.256 | |
| = SVM | | 0.248 | |
|
|