Estimating classification error rate: repeated cross-validation, repeated hold-out and bootstrap
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Publication:961845
DOI10.1016/j.csda.2009.04.009zbMath1453.62126OpenAlexW2073792037MaRDI QIDQ961845
Publication date: 1 April 2010
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2009.04.009
Computational methods for problems pertaining to statistics (62-08) Classification and discrimination; cluster analysis (statistical aspects) (62H30)
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Cites Work
- Unnamed Item
- A decision-theoretic generalization of on-line learning and an application to boosting
- Estimating the Error Rate of a Prediction Rule: Improvement on Cross-Validation
- A comparative study of ordinary cross-validation, v-fold cross-validation and the repeated learning-testing methods
- ASSESSING ERROR RATE ESTIMATORS: THE LEAVE‐ONE‐OUT METHOD RECONSIDERED
- Improvements on Cross-Validation: The .632+ Bootstrap Method
- Ten More Years of Error Rate Research
- A Comparison of Nonparametric Error Rate Estimation Methods in Classification Problems