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A Search for a More Robust Active Galactic Nucleus Classifier Using Machine Learning

  • Authors: Alexander Messick, Vivienne Baldassare

Alexander Messick and Vivienne Baldassare 2026 The Astrophysical Journal 1009 .

  • Provider: AAS Journals

Caption: Figure 4.

The performance of the various XGBoost hyperparameters (left and center). We choose η = 0.2 and a maximum depth of five to balance accuracy between the testing and training sets. The plot on the right depicts the learning curve of a model using the optimized parameters.

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