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Date: May 26, 2010
The decile table has become for most modelers a universal tabular display of model performance. The decile table, by definition, has the point estimate of the statistic Cum Lift, which indicates how much better is a given model than the chance model (random selection of individuals).
The confidence interval that furnishes the precision of the model is considered necessary to complete the decile-table model assessment. The purpose of this article is to augment the decile table with the missing the confidence interval estimate. I review briefly the basics of statistical inference, and then outline the bootstrap method, which is exercised in the construction of the confidence interval.
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