Seizure Detection on UCI Epilepsy Seizure Dataset (test)
99.83AccuracyHybrid Deep Learning Model
Evaluation results
| Method | Links | |
|---|---|---|
| Hybrid Deep Learning ModelPublication Year=20242025.01 | 99.83 | |
| Conv1D+LSTM+BayesianPublication Year=20242025.01 | 99.47 | |
| Conv1D+LSTMPublication Year=20232025.01 | 99.3 | |
| HyEpiSeiD - CNN+Gated Recurrent NetworkPublication Year=20242025.01 | 99.01 | |
| SCA-Optimized LightGBM ClassifierPublication Year=20222025.01 | 99 | |
| K-Nearest Neighbors+PCAPublication Year=20222025.01 | 99 | |
| Random Forest (RF)Publication Year=20232025.01 | 97.7 | |
| Long-Short Term Memory (LSTM)Publication Year=20242025.01 | 97.1 | |
| Random Forest (RF)Publication Year=20202025.01 | 97.08 | |
| FUPTBSVM (hybrid model)Publication Year=20232025.01 | 88.66 |