Table 2 Classification accuracy for the “Training_Data” set
Leave-one-out method LOO (%) | Leave-one-subject-out method LOSO (%) | |||||
|---|---|---|---|---|---|---|
Accuracy | Sensitivity | Specificity | Accuracy | Sensitivity | Specificity | |
DNNE (with MENN) | ||||||
Mean | 67.71 | 71.71 | 64 | 73.37 | 71 | 75 |
Std | 0.037 | 0.018 | 0.033 | 0.042 | 0.056 | 0.032 |
Best | 68.79 | 72.83 | 70 | 85 | 90 | 80 |
RF (with MENN) | ||||||
Mean | 70.93 | 73.27 | 67.59 | 81.50 | 92.50 | 70.50 |
Std | 0.031 | 0.0052 | 0.0063 | 0.0105 | 0.0225 | 0.0211 |
Best | 76.07 | 73.65 | 68.46 | 88 | 97 | 88 |
SVM (linear) | ||||||
Mean | 63.65 | 63.85 | 63.46 | 65 | 65 | 65 |
Std | 0 | 0 | 0 | 0 | 0 | 0 |
Best | 63.65 | 63.85 | 63.46 | 65 | 65 | 65 |
SVM (RBF) | ||||||
Mean | 63.08 | 73.08 | 57.08 | 67.5 | 80 | 55 |
Std | 0 | 0 | 0 | 0 | 0 | 0 |
Best | 63.08 | 73.08 | 57.08 | 67.5 | 80 | 55 |
Method in [1] | ||||||
Mean | – | – | – | 52.06 | 54.92 | 49.22 |
Best | – | – | – | 85 | 80 | 90 |
Method in [27] | ||||||
Mean | – | – | – | – | – | – |
Best | – | – | – | 70, KNN (k = 1) 67.5, KNN (k = 3) 72.5, KNN (k = 5) 77.5, KNN (k = 7) 85, SVM (linear) 87.5, SVM (RBF) 80, Naive Bayes 82.5, Discriminant | 80, KNN (k = 1) 75, KNN (k = 3) 70, KNN (k = 5) 80, KNN (k = 7) 85, SVM (linear) 90, SVM (RBF) 80, Naive Bayes 80, Discriminant | 60, KNN (k = 1) 60, KNN (k = 3) 75, KNN (k = 5) 75, KNN (k = 7) 85, SVM (linear) 85, SVM (RBF) 80, Naive Bayes 85, Discriminant |