Cross-study validation for the assessment of prediction algorithms
Motivation: Numerous competing algorithms for prediction in high-dimensional settings have been developed in the statistical and machine-learning literature. Learning algorithms and the prediction models they generate are typically evaluated on the basis of cross-validation error estimates in a few...
Main Authors: | , , , , , , |
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Format: | Online |
Language: | English |
Published: |
Oxford University Press
2014
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Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4058929/ |