book chapter · Cambridge University Press eBooks · 2011

Error Estimation

Cited by 1Abstract and details only

Abstract

We saw in Chapters 3 and 4 the concerns that arise from having to choose appropriate performance measures. Once a performance measure is decided upon, the next obvious concern is to find a good method for testing the learning algorithm so as to obtain as unbiased an estimate of the chosen performance measure as possible. Also of interest is the related concern of whether the technique we use to obtain such an estimate brings us as close as possible to the true measure value.

Cite this paper

APA 7

Japkowicz, N., & Shah, M. (2011). Error Estimation. Cambridge University Press eBooks, 161–205. https://doi.org/10.1017/cbo9780511921803.006

MLA 9

Japkowicz, Nathalie, and Mohak Shah. “Error Estimation.” Cambridge University Press eBooks, 2011, pp. 161–205, https://doi.org/10.1017/cbo9780511921803.006.

Chicago

Japkowicz, Nathalie, and Mohak Shah. 2011. “Error Estimation.” Cambridge University Press eBooks: 161–205. https://doi.org/10.1017/cbo9780511921803.006.

Harvard

Japkowicz, N. and Shah, M. (2011) ‘Error Estimation’, Cambridge University Press eBooks, pp. 161–205. Available at: https://doi.org/10.1017/cbo9780511921803.006.

BibTeX

@incollection{japkowicz2011error,
  title = {{Error Estimation}},
  author = {Japkowicz, Nathalie and Shah, Mohak},
  booktitle = {Cambridge University Press eBooks},
  pages = {161--205},
  year = {2011},
  doi = {10.1017/cbo9780511921803.006}
}

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