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Ultracool dwarf Science with MachIne LEarning (USMILE). I. Scalable Tree-based Models for Photometric Spectral Classification and New Discoveries from LSST Data Preview 1 and Euclid Quick Data Release 1

  • Authors: Zhoujian Zhang, 周健 张, Yanxia Li, 燕侠 李

Zhoujian Zhang et al 2025 The Astronomical Journal 170 .

  • Provider: AAS Journals

Caption: Figure 3.

ROC curves for the USMILE baseline classifier (left) and customized classifier (right). The corresponding values of the area under the curve (AUC) are summarized in Table 2. Open circles mark the points corresponding to the selected probability threshold for binary classification. In the left panel, the false-positive rate on the x-axis is shown on a logarithmic scale.

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