Research Article
Identification of Anisomerous Motor Imagery EEG Signals Based on Complex Algorithms
Table 3
Classification results from different classifiers.
| | Classifier | LDA | Random forest | Naive Bayes | KNN | SVM | KNN-SVM |
| | Subject A | 77.5 | 80 | 72.5 | 80 | 82.5 | 85 | | Subject B | 80 | 85 | 65 | 82.5 | 82.5 | 92.5 | | Subject C | 72.5 | 60 | 55 | 67.5 | 65 | 80 | | Subject D | 87.5 | 85 | 85 | 92.5 | 87.5 | 92.5 | | Subject E | 75 | 72.5 | 70 | 72.5 | 70 | 85 | | Average AC (%) | 78.5 | 76.5 | 69.5 | 79 | 77.5 | 87 | | Standard deviation | 5.7554 | 10.5475 | 10.9545 | 9.6177 | 9.5197 | 5.4199 |
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