Table A.1.
Statistics for the 100 Myr, 200 Myr and 300 Myr EAGLE trained networks at testing using EAGLE images created with a linear colour scaling.
| Linear EAGLE | SDSS images | ||||
|---|---|---|---|---|---|
| 100 Myr | 200 Myr | 300 Myr | images through | through linear | |
| observation | EAGLE trained | ||||
| Epoch used | 60 | 28 | 24 | – | – |
| Cut threshold | 0.37 | 0.39 | 0.46 | 0.57 | 0.37 |
| ROC area | 0.800 | 0.745 | 0.727 | 0.515 | 0.689 |
| Recall | 0.667 | 0.612 | 0.652 | 0.234 | 0.676 |
| Precision | 0.788 | 0.715 | 0.689 | 0.494 | 0.630 |
| Specificity | 0.821 | 0.756 | 0.706 | 0.761 | 0.603 |
| NPV | 0.711 | 0.661 | 0.670 | 0.498 | 0.651 |
| Accuracy | 0.744 | 0.684 | 0.679 | 0.497 | 0.639 |
Notes. The fourth column presents the cross application of passing the linear colour scaled EAGLE images through the observation network while the fifth column presents the cross application of passing the SDSS images through the 100 Myr linearly scaled EAGLE trained network.
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