Table 6.
This table summarises the pre-processing, data augmentation, and model compilation details for the standardised framework.
| Parameters | Values | |
|---|---|---|
| Pre-processing (flow_from_dataframe) | target_size | N × N (see Table 5) |
| batch_size | 16 | |
| shuffle | True | |
| seed | 123 | |
| class_mode | categorical | |
| Data Augmentation | RandomFlip | horizontal_and_vertical |
| RandomRotation | 0.2 | |
| RandomZoom | 0.2 | |
| Model Compilation | Optimiser | Adam Optimiser |
| Learning rate | 0.001 | |
| Loss function | Weighted Categorical Cross Entropy | |
| Metrics | Accuracy | |
| Epochs | 100 |