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A comparative evaluation of the generalised predictive ability of eight machine learning algorithms across ten clinical metabolomics data sets for binary classification.

Kevin M MendezStacey N ReinkeDavid I Broadhurst
Published in: Metabolomics : Official journal of the Metabolomic Society (2019)
The size of the data set, and choice of performance metric, had a greater influence on generalised predictive performance than the choice of machine learning algorithm.
Keyphrases
  • machine learning
  • big data
  • artificial intelligence
  • deep learning
  • electronic health record
  • mass spectrometry
  • decision making