A controlled cross-validation decomposition attributes the apparent X-ray-induced accuracy drop in AGN/SFG classification to sample selection and label noise, not to the X-ray feature itself.
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When X-ray Features Fail to Identify Intrinsic Emitters: Label Noise and Luminosity Overlap in Machine Learning Classification of AGN and Star-forming Galaxies
A controlled cross-validation decomposition attributes the apparent X-ray-induced accuracy drop in AGN/SFG classification to sample selection and label noise, not to the X-ray feature itself.