Table 3 Performance of Origin-Tea with different block depths (S01)
From: Phenotypic feature-based identification of tea geographical origin using lightweight deep learning
Model | OA | AA | \(\kappa\) | Precision | MCC | Recall | F1 | Params (M) |
|---|---|---|---|---|---|---|---|---|
Origin-Tea-S01-B0 | 0.92 ± 0.03 | 0.91 ± 0.03 | 0.90 ± 0.03 | 0.92 ± 0.03 | 0.80 ± 0.03 | 0.92 ± 0.03 | 0.92 ± 0.03 | 1.7 |
Origin-Tea-S01-B1 | 0.89 ± 0.03 | 0.89 ± 0.03 | 0.87 ± 0.04 | 0.90 ± 0.03 | 0.78 ± 0.03 | 0.89 ± 0.03 | 0.89 ± 0.03 | 1.7 |
Origin-Tea-S01-B2 | 0.89 ± 0.04 | 0.89 ± 0.04 | 0.87 ± 0.05 | 0.90 ± 0.04 | 0.78 ± 0.04 | 0.89 ± 0.04 | 0.89 ± 0.04 | 1.8 |
Origin-Tea-S01-B3 | 0.89 ± 0.03 | 0.89 ± 0.03 | 0.87 ± 0.03 | 0.90 ± 0.02 | 0.77 ± 0.03 | 0.89 ± 0.03 | 0.89 ± 0.03 | 1.9 |
Origin-Tea-S01-B4 | 0.89 ± 0.02 | 0.89 ± 0.02 | 0.87 ± 0.03 | 0.90 ± 0.02 | 0.77 ± 0.02 | 0.89 ± 0.02 | 0.89 ± 0.03 | 1.9 |
Origin-Tea-S01-B5 | 0.89 ± 0.03 | 0.89 ± 0.03 | 0.87 ± 0.03 | 0.90 ± 0.02 | 0.77 ± 0.03 | 0.89 ± 0.03 | 0.89 ± 0.03 | 1.9 |
Origin-Tea-S01-B6 | 0.88 ± 0.03 | 0.88 ± 0.03 | 0.86 ± 0.04 | 0.89 ± 0.03 | 0.75 ± 0.03 | 0.88 ± 0.03 | 0.88 ± 0.03 | 2.0 |
Origin-Tea-S01-B7 | 0.87 ± 0.04 | 0.87 ± 0.04 | 0.85 ± 0.04 | 0.88 ± 0.03 | 0.76 ± 0.04 | 0.87 ± 0.04 | 0.87 ± 0.04 | 2.3 |
Origin-Tea-S01-B8 | 0.88 ± 0.04 | 0.88 ± 0.04 | 0.85 ± 0.04 | 0.88 ± 0.03 | 0.75 ± 0.04 | 0.88 ± 0.04 | 0.88 ± 0.04 | 2.6 |
Origin-Tea-S01-B9 | 0.89 ± 0.03 | 0.89 ± 0.03 | 0.87 ± 0.04 | 0.90 ± 0.03 | 0.77 ± 0.03 | 0.89 ± 0.03 | 0.89 ± 0.03 | 2.9 |
