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Table 1.
Training parameters selected for the XGBoost classification algorithm.
| Parameters | Description |
|---|---|
| (X1, X2)i, (i = A, …D) | Coordinates of images in the (X1, X2) plane |
 , ...,  |
Set of 12 angles between the four images in the (X1, X2) plane |
| Nmu1, ..., Nmu4 | Flux ratios to flux (A) |
| d1, ..., d6 | Distances between the four images |
| Nd1, ..., Nd6 | Normalised distances by MaxDist |
| MaxDist | Maximum distance between images |
| MinDist | Minimum distance between images |
Notes. The first set of parameters was used in training(basic), and the entire set of parameters was used in training(dist).
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