Method . | AUC . | AUPR . | Accuracy . | Precision . | Specificity . | Recall . | F1-score . |
---|---|---|---|---|---|---|---|
Att-based | 0.8725 | 0.8465 | 0.8200 | 0.8247 | 0.8230 | 0.8143 | 0.8189 |
CF-based | 0.9032 | 0.8822 | 0.8280 | 0.8329 | 0.8312 | 0.8260 | 0.8272 |
GAPDA | 0.9038 | 0.8944 | 0.8569 | 0.8550 | 0.8555 | 0.8638 | 0.8577 |
Method . | AUC . | AUPR . | Accuracy . | Precision . | Specificity . | Recall . | F1-score . |
---|---|---|---|---|---|---|---|
Att-based | 0.8725 | 0.8465 | 0.8200 | 0.8247 | 0.8230 | 0.8143 | 0.8189 |
CF-based | 0.9032 | 0.8822 | 0.8280 | 0.8329 | 0.8312 | 0.8260 | 0.8272 |
GAPDA | 0.9038 | 0.8944 | 0.8569 | 0.8550 | 0.8555 | 0.8638 | 0.8577 |
Method . | AUC . | AUPR . | Accuracy . | Precision . | Specificity . | Recall . | F1-score . |
---|---|---|---|---|---|---|---|
Att-based | 0.8725 | 0.8465 | 0.8200 | 0.8247 | 0.8230 | 0.8143 | 0.8189 |
CF-based | 0.9032 | 0.8822 | 0.8280 | 0.8329 | 0.8312 | 0.8260 | 0.8272 |
GAPDA | 0.9038 | 0.8944 | 0.8569 | 0.8550 | 0.8555 | 0.8638 | 0.8577 |
Method . | AUC . | AUPR . | Accuracy . | Precision . | Specificity . | Recall . | F1-score . |
---|---|---|---|---|---|---|---|
Att-based | 0.8725 | 0.8465 | 0.8200 | 0.8247 | 0.8230 | 0.8143 | 0.8189 |
CF-based | 0.9032 | 0.8822 | 0.8280 | 0.8329 | 0.8312 | 0.8260 | 0.8272 |
GAPDA | 0.9038 | 0.8944 | 0.8569 | 0.8550 | 0.8555 | 0.8638 | 0.8577 |
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