Table 2 Statistics on the evaluation indicators of the three models.
Model | Preprocessing methods | Accuracy | Precisionmacro | Sensitivitymacro | F1macro score | AUC |
|---|---|---|---|---|---|---|
SVM | Norm | 0.84 | 0.86 | 0.84 | 0.85 | 0.98 |
Norm + MSC | 0.97 | 0.97 | 0.97 | 0.97 | 1 | |
Norm + SNV | 0.87 | 0.88 | 0.87 | 0.88 | 0.99 | |
Norm + SGD | 0.95 | 0.96 | 0.95 | 0.96 | 0.99 | |
FFNN | Norm | 0.73 | 0.76 | 0.73 | 0.74 | 0.93 |
Norm + MSC | 1 | 1 | 1 | 1 | 1 | |
Norm + SNV | 0.81 | 0.82 | 0.81 | 0.82 | 0.95 | |
Norm + SGD | 0.79 | 0.80 | 0.79 | 0.80 | 0.88 | |
K-NN | Norm | 0.62 | 0.66 | 0.62 | 0.64 | 0.91 |
Norm + MSC | 0.98 | 0.99 | 0.98 | 1 | 0.99 | |
Norm + SNV | 0.70 | 0.73 | 0.70 | 0.71 | 0.92 | |
Norm + SGD | 0.68 | 0.71 | 0.68 | 0.70 | 0.90 |
