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NIPS
2003
14 years 11 months ago
No Unbiased Estimator of the Variance of K-Fold Cross-Validation
Most machine learning researchers perform quantitative experiments to estimate generalization error and compare algorithm performances. In order to draw statistically convincing c...
Yoshua Bengio, Yves Grandvalet
77
Voted
NIPS
2004
14 years 11 months ago
Co-Validation: Using Model Disagreement on Unlabeled Data to Validate Classification Algorithms
In the context of binary classification, we define disagreement as a measure of how often two independently-trained models differ in their classification of unlabeled data. We exp...
Omid Madani, David M. Pennock, Gary William Flake