MCDMProbabilistic Loss Metric
Log-Loss（交叉熵损失）
Log-loss衡量预测概率与实际标签之间的差异，对自信的错误预测给予比不确定的错误预测更高的惩罚。它是机器学习优化中的标准损失函数，用于评估概率分类器的校准性。
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Method map
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来源
- Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press. link ↗
- Bishop, C. M. (1995). Neural Networks for Pattern Recognition. Oxford University Press. DOI: 10.1093/oso/9780198538493.001.0001 ↗
如何引用本页
ScholarGate. (2026, June 3). Logarithmic Loss (Log Loss). ScholarGate. https://scholargate.app/zh/model-evaluation/log-loss
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
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