A general framework for the statistical analysis of the sources of variance for classification error estimators

Author:

Rodríguez Juan D.,Pérez Aritz,Lozano Jose A.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference32 articles.

1. Sensitivity analysis of k-fold cross validation in prediction error estimation;Rodríguez;IEEE Transactions on Pattern Analysis and Machine Intelligence,2010

2. Distribution-free performance bounds with the resubstitution error estimate;Devroye;IEEE Transactions on Information Theory,1979

3. The shrinkage of the coefficient of multiple correlation;Larson;Journal of Educational Psychology,1931

4. Cross-validatory choice and assessment of statistical predictions;Stone;Journal of the Royal Statistical Society Series B,1974

5. A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection;Kohavi,1995

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