Predict choice: A comparison of 21 mathematical models
نویسندگان
چکیده
How should we choose a model that predicts human choices? Two important factors in this choice are a model’s predictive power and a model’s flexibility. In this paper, we compare these aspects of models in a large set of models applied to an experiment in which participants chose between brands of fictitious chocolate bars and a quasi-experiment predicting movies’ gross revenue. We show that there is a trade-off between flexibility and predictive power, but that this trade-off appears to lie more towards the “flexible” side than what was previously thought.
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تاریخ انتشار 2014