遇见数据集

Forecast scores and bias.

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NIAID Data Ecosystem2026-03-08 收录
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Forecast were scored as the loglikelihood of observing the 24 community-level prevalence of ocular chlamydial infection at 36 months, with a higher (less negative) loglikelihood indicating a better forecast. Positive bias indicates that the expectations for the 24 communities were on average higher than the observed prevalence. Forecast scores and bias.

预测结果以36个月时24个社区的眼部衣原体感染(ocular chlamydial infection)社区水平患病率的对数似然(log-likelihood)作为评分依据,对数似然值越高(负值越小),代表预测效果越好。 正偏差则意味着,针对这24个社区的预测期望值平均高于实际观测到的患病率。 预测评分与偏差情况。

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2015-08-24
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