Research Article
Precision Measurement for Industry 4.0 Standards towards Solid Waste Classification through Enhanced Imaging Sensors and Deep Learning Model
Table 5
Training result (10-fold crossvalidation) global average pooling using Softmax classifier.
| Fold | Accuracy | Loss | Precision | Recall |
| Fold 1 | 88.861 | 0.323 | 0.909 | 0.820 | Fold 2 | 87.624 | 0.384 | 0.913 | 0.816 | Fold 3 | 85.891 | 0.437 | 0.914 | 0.819 | Fold 4 | 82.426 | 0.499 | 0.918 | 0.828 | Fold 5 | 89.604 | 0.302 | 0.911 | 0.813 | Fold 6 | 89.109 | 0.373 | 0.913 | 0.821 | Fold 7 | 88.614 | 0.301 | 0.912 | 0.819 | Fold 8 | 85.891 | 0.349 | 0.913 | 0.819 | Fold 9 | 89.578 | 0.336 | 0.911 | 0.817 | Fold 10 | 88.337 | 0.372 | 0.914 | 0.820 | Average | 87.594 | 0.368 | 0.913 | 0.819 |
|
|