Review Article
[Retracted] Review on Epileptic Seizure Prediction: Machine Learning and Deep Learning Approaches
Table 3
Classification outcomes for EEG classification.
| TP (true positive) | If the person suffers from a seizure and detects the same | TN (true negative) | No seizure was detected, and the person is normal | FP (false positive) | The false detects and the classifier detects a seizure where the patient is normal | FN (false negative) | An incorrect decision classifier detected the seizure as normal and predicted no seizure |
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