Table C.2
Performance metrics as percentages (precision and recall for the pre-mergers and post-mergers) of the different methods on the TNG-test set per redshift bin, for the multi-class classification task. The post-merger class includes the ongoing-mergers. The merger classes or stages are determined by the merger trees from the TNG simulation. The best performance in each metric is highlighted in bold.
| 0.1 < ɀ < 0.31 | 0.31 < ɀ < 0.52 | 0.52 < ɀ < 0.76 | 0.76 < ɀ < 1.0 | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Pre-merger | Post-merger | Pre-merger | Post-merger | Pre-merger | Post-merger | Pre-merger | Post-merger | |||||||||
| Methods | P | R | P | R | P | R | P | R | P | R | P | R | P | R | P | R |
| M-1 (RF) | 62.9 | 48.5 | 56.2 | 68.0 | 63.2 | 45.9 | 57.1 | 65.9 | 58.7 | 40.1 | 53.7 | 65.0 | 53.8 | 36.8 | 51.3 | 59.5 |
| M-2 (Swin) | 76.6 | 66.3 | 61.0 | 73.3 | 75.8 | 69.4 | 59.4 | 70.9 | 70.5 | 66.5 | 59.4 | 64.0 | 65.6 | 60.8 | 61.1 | 52.8 |
| M-3 (Zoobot) | 69.5 | 76.3 | 85.6 | 42.1 | 68.6 | 76.8 | 83.0 | 43.8 | 65.0 | 75.3 | 77.5 | 35.8 | 59.0 | 68.9 | 77.6 | 30.7 |
| M-4 (CNN1) | 68.8 | 29.8 | 41.1 | 85.2 | 67.6 | 23.3 | 41.3 | 83.4 | 59.1 | 8.9 | 41.5 | 73.5 | 60.5 | 12.4 | 43.6 | 66.5 |
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