Commentary: Dabblers: Beware of hidden dangers in machine-learning comparisons.
editorial · Level V
Where this comes from
- Record sourced from PubMed, PMID 33051071.
- Also identified by DOI 10.1016/j.jtcvs.2020.08.091 and PMC identifier 7914303.
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Abstract
Machine learning is not for dabblers. An underappreciated problem is imbalance between number of events and non-events, for which traditional C-statistics is an inappropriate evaluation metric. Characters + spaces: 193/200 Misleading C-statistics (AUC) versus precision-recall (PC) and G mean for imbalanced data. Characters + spaces: 90/90
Medical subject headings
- Algorithms
- Machine Learning