On the prediction of rare events when sampling from large data

Pub Date : 2024-07-29 DOI:10.1080/03610918.2024.2378149
Johanna de Haan-Ward, Simon J. Bonner, Douglas Woolford
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Abstract

When modeling rare events using logistic regression, independent samples of event occurrence (ones) and nonoccurrence (zeros) are commonly taken from large datasets in order to fit models efficient...
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关于从海量数据中抽样预测罕见事件
在使用逻辑回归对罕见事件进行建模时,通常会从大型数据集中提取事件发生(1)和不发生(0)的独立样本,以拟合出高效的模型。
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