Table 4 Performance of GTC in natural product classification
From: Prediction of plant secondary metabolic pathways using deep transfer learning
Category | Accuracy (%) | Precision (%) | Recall (%) | F1_score (%) |
|---|---|---|---|---|
Alkaloids | 100.00 ± 0.00 | 100.00 ± 0.00 | 100.00 ± 0.00 | 100.00 ± 0.00 |
Amino acids and Peptides | 98.91 ± 0.22 | 98.98 ± 0.32 | 99.80 ± 0.17 | 99.39 ± 0.12 |
Carbohydrates | 99.06 ± 0.17 | 99.24 ± 0.25 | 99.64 ± 0.26 | 99.44 ± 0.11 |
Fatty acids | 98.85 ± 0.28 | 98.97 ± 0.42 | 99.63 ± 0.16 | 99.30 ± 0.18 |
Polyketides | 98.85 ± 0.28 | 98.34 ± 0.62 | 99.48 ± 0.21 | 98.90 ± 0.26 |
Shikimates and Phenylpropanoids | 98.42 ± 0.55 | 97.98 ± 1.33 | 98.38 ± 1.01 | 98.17 ± 0.62 |
Terpenoids | 99.09 ± 0.16 | 98.41 ± 0.95 | 98.55 ± 1.13 | 98.47 ± 0.29 |