Machine-learning classification of astronomical sources: estimating F1-score in the absence of ground truth

A. Humphrey, W. Kuberski, J. Bialek +5

Machine-learning based classifiers have become indispensable in the field of astrophysics, allowing separation of astronomical sources into various classes, with computational effi…