Beyond classification metrics: a psychometric-aware benchmark for data augmentation in imbalanced student mental health surveys - Summary - MDSpire

Beyond classification metrics: a psychometric-aware benchmark for data augmentation in imbalanced student mental health surveys

  • By

  • Chen Shao

  • Shengnan Qiao

  • Ang Li

  • Shipeng Liu

  • Yanglong Chen

  • Yuzhe Tan

  • Zhibo Liang

  • Xuanming Si

  • June 15, 2026

  • 0 min

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Objective:

Emphasize the significance of the dual-axis evaluation framework.

Approach:
    Key Findings:
    • Include implications of each finding.
    Interpretation:

    Elaborate on the impact of findings on future research or practice.

    Limitations:
    • Mention potential biases in the datasets.
    Conclusion:

    Specify contexts for the preferred methods.

Original Source(s)

Beyond classification metrics: a psychometric-aware benchmark for data augmentation in imbalanced student mental health surveys

  • by Chen Shao, Shengnan Qiao, Ang Li, Shipeng Liu, Yanglong Chen, Yuzhe Tan, Zhibo Liang, Xuanming Si

  • June 15, 2026

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