A K-nearest-neighbors model trained on noise-added standard spectra classifies M0-T9 cool dwarfs within one subtype 95.5% of the time and assigns gravity or metallicity class correctly 89.5% of the time on 1,300 held-out spectra.
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Classifying Cool Dwarfs: Comprehensive Spectral Typing of Field and Peculiar Dwarfs Using Machine Learning
A K-nearest-neighbors model trained on noise-added standard spectra classifies M0-T9 cool dwarfs within one subtype 95.5% of the time and assigns gravity or metallicity class correctly 89.5% of the time on 1,300 held-out spectra.