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Classification performance of binary classification and triple classification using EEG-based features
| Classifiers | Recall | Precision | F1 score | Accuracy |
|---|---|---|---|---|
| HC vs. MCI | ||||
| SVM | 79.6% | 75.8% | 77.7% | 76.7% |
| LDA | 83.8% | 78.1% | 80.9% | 79.8% |
| HC vs. AD | ||||
| SVM | 86.4% | 83.6% | 85.0% | 84.4% |
| LDA | 84.7% | 87.0% | 85.8% | 85.8% |
| HC vs. MCI vs. AD | ||||
| SVM | 70.2% | 70.7% | 69.8% | 70.2% |
| LDA | 70.0% | 70.3% | 69.4% | 70.0% |
