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Performance of patch-based classification on the testing images for model development using LeNet network
| Predicted | Actual | Precision (%) | Recall (%) | |||
|---|---|---|---|---|---|---|
| Base | Body | Stem | Tip | |||
| Base | 344 | 12 | 52 | 4 | 74.1 | 83.5 |
| Body | 15 | 280 | 26 | 30 | 79.5 | 79.8 |
| Stem | 14 | 29 | 270 | 4 | 75.8 | 85.2 |
| Tip | 91 | 31 | 8 | 169 | 81.6 | 56.5 |
Total precision = 77.8%; total recall = 76.2%.
