Research Article
Precision Measurement for Industry 4.0 Standards towards Solid Waste Classification through Enhanced Imaging Sensors and Deep Learning Model
Table 7
Training result (10-fold crossvalidation) for MobileNetV2 with an additional fully connected layer.
| Fold | Accuracy | Loss | Precision | Recall |
| Fold 1 | 91.337 | 0.205 | 0.936 | 0.889 | Fold 2 | 91.337 | 0.348 | 0.936 | 0.894 | Fold 3 | 88.366 | 0.387 | 0.934 | 0.887 | Fold 4 | 94.059 | 0.172 | 0.933 | 0.885 | Fold 5 | 89.604 | 0.393 | 0.931 | 0.883 | Fold 6 | 89.851 | 0.295 | 0.934 | 0.886 | Fold 7 | 91.089 | 0.274 | 0.934 | 0.887 | Fold 8 | 91.584 | 0.249 | 0.932 | 0.881 | Fold 9 | 91.067 | 0.255 | 0.936 | 0.891 | Fold 10 | 91.067 | 0.282 | 0.935 | 0.888 | Average | 90.936 | 0.286 | 0.934 | 0.887 |
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