如何使用学习曲线来评估使用机器学习算法开发的疟疾预测模型的样本大小

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Sophie G Zaloumis1,2, Megha Rajasekhar3, Julie A Simpson3,4,5

  • 1Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Carlton, VIC, Australia. sophiez@unimelb.edu.au.

Malaria journal
|July 24, 2025
PubMed
概括

学习曲线有助于确定机器学习模型预测疟疾结果的最佳样本大小. 这通过评估各种训练数据集大小的模型性能来确保准确的预测.

关键词:
学习曲线的学习曲线机器学习 机器学习疟疾:疟疾是一种疾病.预测建模的预测模型.样本的大小 样本大小文字转录学 (Transcriptomics) 是一个学科.

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