The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Cost curves: An improved method for visualizing classifier performance
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Classification And Regression Trees
Breiman, L., Friedman, J. H., Olshen, R. A., & Stone, C. J. (2017) · doi:10.1201/9781315139470 · Cited by 11,417
The use of the area under the ROC curve in the evaluation of machine learning algorithms
Bradley, A. P. (1997) · Pattern Recognition · doi:10.1016/s0031-3203(96)00142-2 · Cited by 7,217
Robust classification for imprecise environments
Provost, F., & Fawcett, T. (2001) · Machine Learning · doi:10.1023/a:1007601015854 · Cited by 1,250
Cost-sensitive learning by cost-proportionate example weighting
Zadrozny, B., Langford, J., & Abe, N. (2004) · Third IEEE International Conference on Data Mining · doi:10.1109/icdm.2003.1250950 · Cited by 680
Cited by
He, H., & Garcia, E. A. (2009) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2008.239 · Cited by 10,359
A Review on Evaluation Metrics for Data Classification Evaluations
M, H., & M.N, S. (2015) · International Journal of Data Mining & Knowledge Management Process · doi:10.5121/ijdkp.2015.5201 · Cited by 2,693
Christodoulou, E., Ma, J., Collins, G. S., Steyerberg, E. W., Verbakel, J. Y., & Van Calster, B. (2019) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2019.02.004 · Cited by 2,119
Evaluating Virtual Screening Methods: Good and Bad Metrics for the “Early Recognition” Problem
Truchon, J.-F., & Bayly, C. I. (2007) · Journal of Chemical Information and Modeling · doi:10.1021/ci600426e · Cited by 874
Assuring the Machine Learning Lifecycle: Desiderata, Methods, and Challenges
Ashmore, R., Calinescu, R., & Paterson, C. (2022) · ACM Computing Surveys · doi:10.1145/3453444 · Cited by 256
Metadata
- Authors
- Drummond, C., & Holte, R. C.
- Venue
- Machine Learning
- Published
- 2006-05-08
- Volume
- 65
- Issue
- 1
- Pages
- 95-130
- ISSN
- 0885-6125 (ISSN-L)
- 1573-0565
- OpenAlex
- W2115650093
- Cited by
- 326
- References
- 4
- FWCI
- 22.58
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Drummond, C., & Holte, R. C. (2006). Cost curves: An improved method for visualizing classifier performance. Machine Learning. https://doi.org/10.1007/s10994-006-8199-5
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.
