Table 2.
Performance for Classification on V2 (Transfer Learning).
TF | EDA | TF+EDA | TF-V2 | EDA-V2 | TF+EDA-V2 | |
---|---|---|---|---|---|---|
Acc | 0.81 | 0.75 | 0.75 | 0.76 | 0.71 | 0.80 |
Sensitivity | 0.87 | 0.75 | 0.87 | 0.77 | 0.62 | 0.81 |
Specificity | 0.75 | 0.75 | 0.62 | 0.75 | 0.80 | 0.78 |
AUC | 0.81 | 0.80 | 0.88 | - | - | - |
TF-V123 | EDA-V123 | TF+EDA-V123 | ||||
Acc | 0.81 | 0.73 | 0.86 | |||
Sensitivity | 0.87 | 0.86 | 0.87 | |||
Specificity | 0.75 | 0.59 | 0.84 | |||
AUC | - | - | - |