Humans neglect complexity in predictive model selection

Abstract excerpt

<p>People often face competing predictive models, such as different weather forecasts or music recommendation systems. How do they evaluate which model is better? Past research suggests that people follow Occam's razor, balancing fit and simplicity, but little is known about whether the same principle describes how people select predictive models. In a series of experiments, we gave participants choices between pr...

Topics

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• Adaptation, Biological
• Behavior
• Biological Evolution
• Data Collection
• Genetics, Population
• Phenotype
• Psychiatry
• Smartphone

Identifiers and source

Literature Corpus work

27cf58e5-6247-59d1-bdbc-5d4cc7a31a9f

DOI

10.31234/osf.io/t2b9r_v1