Accuracy estimation for supervised learning algorithms
Abstract
This paper illustrates the relative merits of three methods - k-fold Cross Validation, Error Bounds, and Incremental Halting Test - to estimate the accuracy of a supervised learning algorithm. For each of the three methods we point out the problem they address, some of the important assumptions that are based on, and illustrate them through an example. Finally, we discuss the relative advantages and disadvantages of each method.
- Authors:
- Publication Date:
- Research Org.:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE Office of Energy Research, Washington, DC (United States)
- OSTI Identifier:
- 466831
- Report Number(s):
- CONF-970465-7
ON: DE97004709
- DOE Contract Number:
- AC05-96OR22464
- Resource Type:
- Conference
- Resource Relation:
- Conference: SPIE international conference, Orlando, FL (United States), 21-25 Apr 1997; Other Information: PBD: [1997]
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 99 MATHEMATICS, COMPUTERS, INFORMATION SCIENCE, MANAGEMENT, LAW, MISCELLANEOUS; ARTIFICIAL INTELLIGENCE; ALGORITHMS; NEURAL NETWORKS; STATISTICAL MODELS; TESTING; LEARNING
Citation Formats
Glover, C W, Oblow, E M, and Rao, N S.V. Accuracy estimation for supervised learning algorithms. United States: N. p., 1997.
Web.
Glover, C W, Oblow, E M, & Rao, N S.V. Accuracy estimation for supervised learning algorithms. United States.
Glover, C W, Oblow, E M, and Rao, N S.V. 1997.
"Accuracy estimation for supervised learning algorithms". United States. https://www.osti.gov/servlets/purl/466831.
@article{osti_466831,
title = {Accuracy estimation for supervised learning algorithms},
author = {Glover, C W and Oblow, E M and Rao, N S.V.},
abstractNote = {This paper illustrates the relative merits of three methods - k-fold Cross Validation, Error Bounds, and Incremental Halting Test - to estimate the accuracy of a supervised learning algorithm. For each of the three methods we point out the problem they address, some of the important assumptions that are based on, and illustrate them through an example. Finally, we discuss the relative advantages and disadvantages of each method.},
doi = {},
url = {https://www.osti.gov/biblio/466831},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Apr 01 00:00:00 EST 1997},
month = {Tue Apr 01 00:00:00 EST 1997}
}
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