A random forest model trained on 4,421 spectroscopic redshifts produces photometric redshifts for 77,755 NEPW galaxies with 0.028 scatter, 7.3% outliers, and calibrated uncertainties.
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Machine learning based Photometric Redshifts for Galaxies in the North Ecliptic Pole Wide field: catalogs of spectroscopic and photometric redshifts
A random forest model trained on 4,421 spectroscopic redshifts produces photometric redshifts for 77,755 NEPW galaxies with 0.028 scatter, 7.3% outliers, and calibrated uncertainties.