The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Estimating classification error rate: Repeated cross-validation, repeated hold-out and bootstrap
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Citations
Cites
A decision-theoretic generalization of on-line learning and an application to boosting
Freund, Y., & Schapire, R. E. (1997) · Journal of Computer and System Sciences · doi:10.1006/jcss.1997.1504 · Cited by 20,466
A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
Kohavi, R. (1995) · Zenodo · doi:10.5281/zenodo.19712698 · Cited by 10,909
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Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning
Raschka, S. (2018) · arXiv · doi:10.48550/arxiv.1811.12808 · Cited by 735
An Empirical Comparison of Model Validation Techniques for Defect Prediction Models
Tantithamthavorn, C., McIntosh, S., Hassan, A. E., & Matsumoto, K. (2017) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2016.2584050 · Cited by 574
Cabitza, F., Campagner, A., Soares, F., García de Guadiana-Romualdo, L., Challa, F., Sulejmani, A., Seghezzi, M., & Carobene, A. (2021) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2021.106288 · Cited by 284
A Distinct Role of the Temporal-Parietal Junction in Predicting Socially Guided Decisions
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Metadata
- Authors
- Kim, J.-H.
- Venue
- Computational Statistics & Data Analysis
- Publisher
- Elsevier BV
- Published
- 2009-09
- Volume
- 53
- Issue
- 11
- Pages
- 3735-3745
- ISSN
- 0167-9473 (ISSN-L)
- OpenAlex
- W2073792037
- Cited by
- 792
- References
- 2
- FWCI
- 12.29
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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- CoChat. (2026). Citation check: Estimating classification error rate: Repeated cross-validation, repeated hold-out and bootstrap. https://app.cochat.ai/papers/10.1016/j.csda.2009.04.009
- The paper
- Kim, J.-H. (2009). Estimating classification error rate: Repeated cross-validation, repeated hold-out and bootstrap. Computational Statistics & Data Analysis. https://doi.org/10.1016/j.csda.2009.04.009
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.