Optimal classifier selection and negative bias in error rate estimation: an empirical study on high-dimensional prediction
<p>Abstract</p> <p>Background</p> <p>In biometric practice, researchers often apply a large number of different methods in a "trial-and-error" strategy to get as much as possible out of their data and, due to publication pressure or pressure from the consultin...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2009-12-01
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| Series: | BMC Medical Research Methodology |
| Online Access: | http://www.biomedcentral.com/1471-2288/9/85 |