A random forest trained on BPT-classified SDSS galaxies can classify z=0.3-0.8 emission line galaxies into four subtypes using only optical features, with the best performance among four machine learning methods tested.
R., & Roweis, S.2007
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Machine Learning Classifiers for Intermediate Redshift Emission Line Galaxies
A random forest trained on BPT-classified SDSS galaxies can classify z=0.3-0.8 emission line galaxies into four subtypes using only optical features, with the best performance among four machine learning methods tested.