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NIPS
2003
15 years 17 days 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
ICML
2000
IEEE
16 years 20 hour ago
Complete Cross-Validation for Nearest Neighbor Classifiers
Cross-validation is an established technique for estimating the accuracy of a classifier and is normally performed either using a number of random test/train partitions of the dat...
Matthew D. Mullin, Rahul Sukthankar