Research Article
Fruit Classification Model Based on Residual Filtering Network for Smart Community Robot
Table 3
Comparison with different features using DT.
| | Accuracy (Avg) | Recall (Avg) | F1 score (Avg) | Precision (Avg) |
| | RFN-DT | 94.652% | 94.633% | 94.362% | 94.415% | | RGB-DT | 87.555% | 87.276% | 87.136% | 87.391% | | CNN-DT | 93.636% | 93.454% | 93.375% | 93.476% |
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