Research Article
Fruit Classification Model Based on Residual Filtering Network for Smart Community Robot
Table 1
Comparison of different classifies.
| | Accuracy (Avg) | Recall (Avg) | F1 score (Avg) | Precision (Avg) |
| | SVM (linear) | 99.955% | 99.958% | 99.962% | 99.967% | | DT () | 94.652% | 94.633% | 94.362% | 94.415% | | Forest () | 98.898% | 98.899% | 98.852% | 98.848% | | KNN () | 99.926% | 99.931% | 99.927% | 99.923% |
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