Out-of-Sample Accuracy of Weighted Additive Strategies with Limited Search

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In multiattribute inferences, cross-validation studies of out-of-sample accuracy have shown that fast and frugal heuristics such as take-the-best often outperform weighted additive models such as Multiple Regression, Naïve Bayes and Tally (Brigthon & Gigerenzer, 2009). From a prescriptive perspective, the results imply that decision accuracy may actually decrease when attributes are searched beyon...

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