Table 2.
Experimental analysis of EEG data by using Random Forest classifier.
| Subject | Accuracy | TP Rate | Precision | AUC |
|---|---|---|---|---|
| S1 | 86.01% | 0.86 | 0.902 | 0.956 |
| S2 | 67.3% | 0.670 | 0.654 | 0.836 |
| S3 | 90.01% | 0.90 | 0.951 | 0.956 |
| S4 | 96.11% | 0.961 | 0.961 | 0.987 |
| S5 | 64.41% | 0.644 | 0.65 | 0.713 |
| S6 | 62.34% | 0.623 | 0.624 | 0.81 |
| S7 | 60.12% | 0.601 | 0.62 | 0.713 |
| S8 | 89.37% | 0.894 | 0.892 | 0.951 |
| S9 | 84.11% | 0.841 | 0.80 | 0.930 |
| S10 | 99.43% | 0.994 | 0.965 | 1 |
| S11 | 95.73% | 0.96 | 0.965 | 0.988 |
| S12 | 88.41% | 0.884 | 0.815 | 0.875 |
| S13 | 60.17% | 0.602 | 0.601 | 0.80 |
| S14 | 61.38% | 0.614 | 0.602 | 0.780 |
| S15 | 59.44% | 0.594 | 0.673 | 0.804 |
| S16 | 95.31% | 0.953 | 0.954 | 0.985 |
| S17 | 89.43% | 0.894 | 0.910 | 0.976 |
| S18 | 90.37% | 0.904 | 0.900 | 0.968 |
| S19 | 61.42% | 0.614 | 0.601 | 0.801 |
| S20 | 98.31% | 0.983 | 0.983 | 0.976 |