Table 4 Performance of Origin-Tea under S0 configuration with different block depths (B0--B9)
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-S0-B0 | 0.71 ± 0.13 | 0.79 ± 0.09 | 0.65 ± 0.16 | 0.80 ± 0.08 | 0.60 ± 0.11 | 0.71 ± 0.13 | 0.69 ± 0.16 | 0.8 |
Origin-Tea-S0-B1 | 0.91 ± 0.02 | 0.91 ± 0.02 | 0.89 ± 0.03 | 0.91 ± 0.02 | 0.79 ± 0.02 | 0.91 ± 0.02 | 0.90 ± 0.02 | 0.9 |
Origin-Tea-S0-B2 | 0.90 ± 0.03 | 0.90 ± 0.04 | 0.88 ± 0.03 | 0.91 ± 0.03 | 0.79 ± 0.03 | 0.90 ± 0.03 | 0.90 ± 0.03 | 0.9 |
Origin-Tea-S0-B3 | 0.91 ± 0.03 | 0.91 ± 0.03 | 0.90 ± 0.03 | 0.92 ± 0.03 | 0.79 ± 0.03 | 0.91 ± 0.03 | 0.91 ± 0.03 | 1.0 |
Origin-Tea-S0-B4 | 0.90 ± 0.02 | 0.90 ± 0.03 | 0.88 ± 0.03 | 0.91 ± 0.02 | 0.79 ± 0.02 | 0.90 ± 0.02 | 0.90 ± 0.02 | 1.0 |
Origin-Tea-S0-B5 | 0.91 ± 0.02 | 0.91 ± 0.02 | 0.89 ± 0.03 | 0.92 ± 0.02 | 0.80 ± 0.02 | 0.91 ± 0.02 | 0.91 ± 0.02 | 1.0 |
Origin-Tea-S0-B6 | 0.91 ± 0.04 | 0.90 ± 0.04 | 0.89 ± 0.05 | 0.91 ± 0.03 | 0.80 ± 0.04 | 0.91 ± 0.04 | 0.91 ± 0.04 | 1.1 |
Origin-Tea-S0-B7 | 0.89 ± 0.02 | 0.89 ± 0.02 | 0.87 ± 0.03 | 0.90 ± 0.02 | 0.78 ± 0.03 | 0.89 ± 0.02 | 0.89 ± 0.02 | 1.4 |
Origin-Tea-S0-B8 | 0.89 ± 0.04 | 0.89 ± 0.03 | 0.87 ± 0.05 | 0.90 ± 0.03 | 0.76 ± 0.04 | 0.89 ± 0.04 | 0.89 ± 0.04 | 1.7 |
Origin-Tea-S0-B9 | 0.90 ± 0.02 | 0.90 ± 0.02 | 0.88 ± 0.03 | 0.91 ± 0.02 | 0.78 ± 0.03 | 0.90 ± 0.02 | 0.90 ± 0.02 | 2.0 |
