Research Article
EEG-Based Closed-Loop Neurofeedback for Attention Monitoring and Training in Young Adults
Table 1
Accuracy (%) of five-level attention monitoring with different algorithms.
| Algorithm | Accuracy | Loss | Recall | Precision |
| Support vector machine (SVM) | 52.46 | 51.48 | 26.65 | 53.41 | K-nearest neighbors (KNN) | 54.75 | 43.60 | 50.81 | 50.12 | AdaBoost | 67.32 | 32.35 | 68.74 | 71.69 | Extreme random tree (ET) | 72.90 | 27.28 | 65.68 | 81.09 | Random forest (RF) | 73.22 | 26.45 | 64.02 | 79.54 | Improved random forest (IRF) | 79.34 | 21.76 | 76.18 | 82.60 |
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