Bias in error estimation when using cross-validation for model selection
<p>Abstract</p> <p>Background</p> <p>Cross-validation (CV) is an effective method for estimating the prediction error of a classifier. Some recent articles have proposed methods for optimizing classifiers by choosing classifier parameter values that minimize the CV erro...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2006-02-01
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| Series: | BMC Bioinformatics |
| Online Access: | http://www.biomedcentral.com/1471-2105/7/91 |