Unicorn, Hare, or Tortoise? Using Machine Learning to Predict Working Memory Training Performance.

ABSTRACT: People differ considerably in the extent to which they benefit from working memory (WM) training. Although there is increasing research focusing on individual differences associated with WM training outcomes, we still lack an understanding of which specific individual differences, and in what combination, contribute to inter-individual variations in training trajectories. In the current study, 568 undergraduates completed one of several N-back intervention variants over the course of two weeks. Participants' training trajectories were clustered into three distinct training patterns (high performers, intermediate performers, and low performers). We applied machine-learning algorithms to train a binary tree model to predict individuals' training patterns relying on several individual differe

SUBMITTER: Feng Y 

PROVIDER: S-EPMC10487130 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature