Apparent and cross-validated area-under-the-curve (AUC) statistics for four super learner risk prediction tools, as well as for each of the component algorithms/methods considered in the implementation of the super learner.
- Catherine Lee (247739)
- Sebastien Haneuse (2552221)
- Hai-Lin Wang (4476319)
- Sherri Rose (21483)
- Stephen R. Spellman (4779219)
- Michael Verneris (4779213)
- Katharine C. Hsu (576497)
- Katharina Fleischhauer (4779210)
- Stephanie J. Lee (4779216)
- Reza Abdi (3636907)
Publication date
January 2018
DOIAbstract
<p>Apparent and cross-validated area-under-the-curve (AUC) statistics for four super learner risk prediction tools, as well as for each of the component algorithms/methods considered in the implementation of the super learner.</p
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