Multiple holdouts with stability: improving the generalizability of machine learning analyses of brain-behavior relationships

HIGHLIGHTS

  • who: Agoston Mihalik from the (UNIVERSITY) have published the article: Multiple Holdouts With Stability: Improving the Generalizability of Machine Learning Analyses of Brain-Behavior Relationships, in the Journal: (JOURNAL) of February/15,/2020
  • what: The authors propose an innovative machine learning framework combining multiple holdouts and a stability criterion with regularized multivariate techniques such as sparse partial least squares and kernel canonical correlation analysis for identifying hidden dimensions of cross-modality relationships. To illustrate the approach the authors investigated structural brain-behavior associations in an extensively phenotyped developmental sample of 345 participants (312 healthy and . . .

     

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