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Table 4.

Number of classes in each training dataset per S/N bin.

S/N Mergers Non-mergers Pre-mergers Post-mergers
5–8 17 343 18 435 19 236 26 004
8–10 9 216 10 281 10 638 13 178
10–12 7329 9018 9024 9567
12–21.5 23 796 27 651 29 268 31 080
21.5–46.4 28 341 29 244 37 260 32 958
46.4–100 26 565 22 446 36 636 28 170
100–1000 40 014 12 639 44 694 43 539

Notes. We chose roughly equal number of galaxies in each of the classes. However, the last bin is highly unbalanced, with significantly fewer non-mergers.

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