The DOI matches its Crossref record.
Construction and Assessment of Classification Rules
Abstract
Basic Ideas Introduction Constructing Rules Fisher's LDA and Other Methods Based on Covariance Matrices Nonlinear Methods Recursive Partitioning Methods Nonparametric Smoothing Methods Evaluating Rules Aspects of Evaluation Misclassification Rate Evaluating Two Class Rules Practical Issues Some Special Problems Some Illustrative Applications Links and Comparisons Between Methods.
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Cited by
A Simple Generalisation of the Area Under the ROC Curve for Multiple Class Classification Problems
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Lessmann, S., Baesens, B., Seow, H.-V., & Thomas, L. C. (2015) · European Journal of Operational Research · doi:10.1016/j.ejor.2015.05.030 · Cited by 1,284
Data Mining for Imbalanced Datasets: An Overview
Chawla, N. V. (2009) · Data Mining and Knowledge Discovery Handbook · doi:10.1007/978-0-387-09823-4_45 · Cited by 1,082
Hand, D. J. (2007) · Drug Safety · doi:10.2165/00002018-200730070-00010 · Cited by 1,044
Self-citationNeural network credit scoring models
West, D. (2000) · Computers & Operations Research · doi:10.1016/s0305-0548(99)00149-5 · Cited by 1,033
Metadata
- Authors
- Wade, M. R., & Hand, D. J.
- Venue
- Technometrics
- Publisher
- JSTOR
- Published
- 1999-08
- Volume
- 41
- Issue
- 3
- Pages
- 267
- ISSN
- 0040-1706 (ISSN-L)
- OpenAlex
- W2797114046
- Cited by
- 621
- References
- 0
- FWCI
- 59.96
- Type
- journal article
- Language
- en
- Open access
- closed
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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.