Pitfalls in using ML to predict cognitive function performance
Gianna Kuhles,
Sami Hamdan,
Stefan Heim
et al.
Abstract:Machine learning analyses are widely used for predicting cognitive abilities, yet there are pitfalls that need to be considered during their implementation and interpretation of the results. Hence, the present study aimed at drawing attention to the risks of erroneous conclusions incurred by confounding variables illustrated by a case example predicting executive function performance by prosodic features. Healthy participants (n = 231) performed speech tasks and EF tests. From 264 prosodic features, we predic… Show more
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