Research Article
Automatic Epileptic Seizure Detection Using Scalp EEG and Advanced Artificial Intelligence Techniques
Table 9
Cross-validation results from top five uncorrelated features from five regions.
| Classifiers | 80% holdout: 100 repetitions | Cross-validation, 5-fold, 1 repetition | Cross-validation, 5-fold, 100 repetitions | Mean error | SD | Mean error | Mean error | SD |
| LDC | 0.1690 | 0.0419 | 0.1696 | 0.1675 | 0.0120 | QDC | 0.1493 | 0.0449 | 0.1462 | 0.1509 | 0.0088 | UDC | 0.2926 | 0.0440 | 0.2836 | 0.2940 | 0.0037 | POLYC | 0.1690 | 0.0419 | 0.1871 | 0.1709 | 0.0091 | LOGLC | 0.1734 | 0.0413 | 0.1696 | 0.1648 | 0.0120 | KNNC | 0.1203 | 0.0339 | 0.0936 | 0.1135 | 0.0101 | TREEC | 0.1835 | 0.0460 | 0.1988 | 0.1784 | 0.0202 | PARZENC | 0.1328 | 0.0433 | 0.1316 | 0.1325 | 0.0146 | SVC | 0.1460 | 0.0378 | 0.1316 | 0.1411 | 0.0101 |
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