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Hence, small p-values are indications of poor model performance. A p-value of 1 means that a model cannot be rejected on a given set of data, no matter what the significance level of the statistical test. Here, HDM fits this Null Hypothesis perfectly because in each row where KT-V4 predicts preference for Gamble 1, the hypothetical decision maker chose Gamble 1 more often than not, and in each row where KT-V4 predicts preference for Gamble 0, the hypothetical decision maker chose Gamble 0 more often than not.