Open Access
Table A.2
Comparison of age and metallicity prediction for our MMLforGalAM using different filter bands as input.
| MSE | MAE | Bias(SD) | ||||
|---|---|---|---|---|---|---|
| Age | Metallicity | Age | Metallicity | Age | Metallicity | |
| g | 0.0458 | 0.0430 | 0.1745 | 0.1663 | 0.0254(0.2125) | 0.0377(0.2039) |
| r | 0.0522 | 0.0514 | 0.1864 | 0.1764 | 0.0374(0.2254) | 0.0001(0.2266) |
| i | 0.0386 | 0.0287 | 0.1626 | 0.1356 | 0.0404(0.1922) | 0.0062(0.1692) |
| gr | 0.0458 | 0.0389 | 0.1763 | 0.1583 | 0.0621(0.2048) | 0.0321(0.1945) |
| gi | 0.0373 | 0.0288 | 0.1576 | 0.1361 | 0.0074(0.1929) | 0.0236(0.1681) |
| ri | 0.0370 | 0.0267 | 0.1579 | 0.1313 | 0.0193(0.1913) | 0.0183(0.1624) |
| gri | 0.0227 | 0.0197 | 0.1215 | 0.1121 | 0.0034(0.1506) | -0.0091(0.1402) |
Notes. The evaluation metrics used are described in Sect. 4.1. We compare the performance of MMLforGalAM using different combinations of filter bands (g,r,i) as input. All inputs use an image resolution of 128 × 128.
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