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. 2024 Mar 15;24(6):1889. doi: 10.3390/s24061889

Table 2.

Subject-Dependent Results. Subject-dependent results for subjects 1, 2, and 3. This setting aims to determine whether the model can learn specific features from brain activities. The bold value stands for the best result among all models.

Modality Models Accuracy Precision Recall F1 AUROC
fNIRS SVM 92.44±8.71 92.99±8.98 91.97±8.42 92.26±8.98 92.56±8.51
RF 92.44±2.83 91.76±5.20 93.75±0.45 92.57±2.93 92.65±2.74
KNN 82.10±15.38 82.85±16.91 81.40±15.43 82.02±16.10 81.91±15.10
Resnet50 88.43±13.57 89.41±12.43 86.51±16.79 87.88±14.70 89.42±14.62
VGG16 92.90±7.53 93.28±7.65 92.44±7.95 92.75±7.87 95.82±4.95
EF-Net 99.69±0.27 100.00±0.00 99.39±0.53 99.69±0.27 99.80±0.33
EEG SVM 71.14±11.81 73.14±12.51 72.44±8.98 72.42±10.13 71.40±11.67
RF 84.57±3.08 88.24±4.63 80.79±3.31 84.30±3.94 84.69±3.38
KNN 75.15±8.86 77.88±4.88 71.22±21.35 73.31±13.91 74.93±8.32
Resnet50 93.83±5.40 93.14±8.10 95.17±3.55 93.99±5.36 95.90±4.73
VGG19 97.38±2.55 97.64±1.27 97.19±4.03 97.36±2.71 98.02±1.84
EF-Net 96.45±2.38 97.28±1.85 95.89±3.29 96.53±2.26 97.09±1.70
fNIRS+EEG SVM 86.27±6.11 87.25±4.50 85.74±8.43 86.30±6.69 86.19±5.70
RF 86.88±8.16 90.47±5.95 82.83±12.22 85.91±9.99 87.11±7.80
KNN 74.69±8.80 78.38±4.47 68.92±20.99 72.24±13.97 74.43±8.21
V16 + R50 94.60±6.95 94.47±8.00 94.91±5.69 94.57±7.02 96.44±5.13
V16 + V19 97.53±0.71 97.75±2.03 97.49±3.62 97.53±0.90 98.30±0.98
EF-Net 99.38±0.71 99.72±0.49 99.03±0.98 99.36±0.73 99.70±0.41