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A common practice in cross validation research in the behavioral sciences is to employ either the product moment correlation
or a simple tabulation of first-choice “hits” for measuring the accuracy with which various preference models predict subjects’
responses to a holdout sample of choice objects.
We propose a nonparametric approach for summarizing the accuracy of predicted rankings across a set of holdout-sample options.
The methods that we develop contain a novel way to deal with ties and an approach to the different weighting of rank positions. 相似文献
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