Relation between permutation-test p values and classifier error estimates.
Gene-expression-based classifiers suffer from the small number of microarrays usually available for classifier design. Hence, one is confronted with the dual problem of designing a classifier and estimating its error with only a small sample. Permutation testing has been recommended to assess the de...
| Veröffentlicht in: | Machine learning. 52, 1-2 (2003). |
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| Format: | Artikel |
| Sprache: | English |
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