From: Tuning gradient boosting for imbalanced bioassay modelling with custom loss functions
Name | Metric | WCE | FC | LA | EQ | LDAM | DNN—Arshadi | GCN –Arshadi |
---|---|---|---|---|---|---|---|---|
Phosphatase | Accuracy | 0.989 ± 0.0005 | 0.992 ± 4E-4 | 0.992 ± 3E-4 | 0.992 ± 7E-4 | 0.992 ± 2E-4 | 0.885 | 0.984 |
Precision | 0.356 ± 0.01 | 0.455 ± 0.05 | 0.431 ± 0.06 | 0.571 ± 0.01 | 0.567 ± 0.05 | 0.027 | 0.144 | |
Recall | 0.139 ± 0.006 | 0.125 ± 0.01 | 0.135 ± 0.01 | 0.085 ± 0.02 | 0.109 ± 0.03 | 0.459 | 0.191 | |
F1 score | 0.200 ± 0.003 | 0.196 ± 0.01 | 0.206 ± 0.01 | 0.148 ± 0.01 | 0.182 ± 0.02 | 0.052 | 0.164 | |
ROC-AUC | 0.814 ± 0.0005 | 0.830 ± 0.001 | 0.830 ± 0.01 | 0.821 ± 0.0003 | 0.825 ± 0.0008 | 0.739 | 0.815 | |
NTPase | Accuracy | 0.945 ± 0.001 | 0.945 ± 0.004 | 0.945 ± 0.0004 | 0.899 ± 0.02 | 0.946 ± 0.005 | 0.854 | 0.933 |
Precision | 0.381 ± 0.01 | 0.417 ± 0.01 | 0.472 ± 0.01 | 0.344 ± 0.04 | 0.488 ± 0.006 | 0.138 | 0.267 | |
Recall | 0.300 ± 0.007 | 0.294 ± 0.005 | 0.267 ± 0.003 | 0.250 ± 0.02 | 0.255 ± 0.005 | 0.526 | 0.095 | |
F1 score | 0.336 ± 0.003 | 0.345 ± 0.004 | 0.341 ± 0.005 | 0.289 ± 0.03 | 0.335 ± 0.003 | 0.219 | 0.141 | |
ROC-AUC | 0.821 ± 0.01 | 0.787 ± 0.01 | 0.852 ± 0.01 | 0.764 ± 0.007 | 0.827 ± 0.02 | 0.763 | 0.763 |