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Evaluating the Fairness in the Performance of Machine Learning Methods

master's thesis by Ming Yuan, Computer Science & Engineering, University of Washington, 2018
Place master_s_thesis Q113668490
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Evaluating the Fairness in the Performance of Machine Learning Methods

Summary

Evaluating the Fairness in the Performance of Machine Learning Methods is a master's thesis[1].

Key Facts

  • Evaluating the Fairness in the Performance of Machine Learning Methods authored Ming Yuan[2].
  • Evaluating the Fairness in the Performance of Machine Learning Methods's instance of is recorded as master's thesis[3].
  • Evaluating the Fairness in the Performance of Machine Learning Methods's OCLC number is recorded as 1098061911[4].
  • Evaluating the Fairness in the Performance of Machine Learning Methods's language of work or name is recorded as English[5].
  • +2018-00-00T00:00:00Z marks the founding of Evaluating the Fairness in the Performance of Machine Learning Methods[6].
  • Evaluating the Fairness in the Performance of Machine Learning Methods's main subject is recorded as fairness in machine learning[7].
  • Evaluating the Fairness in the Performance of Machine Learning Methods's work available at URL is recorded as http://hdl.handle.net/1773/43256[8].
  • Evaluating the Fairness in the Performance of Machine Learning Methods's number of pages is recorded as {'unit': 'http://www.wikidata.org/entity/Q1069725', 'amount': '+37'}[9].
  • Evaluating the Fairness in the Performance of Machine Learning Methods's number of pages is recorded as {'unit': 'http://www.wikidata.org/entity/Q56761382', 'amount': '+6'}[10].
  • Evaluating the Fairness in the Performance of Machine Learning Methods's Handle ID is recorded as 1773/43256[11].
  • Evaluating the Fairness in the Performance of Machine Learning Methods's title is recorded as Evaluating the Fairness in the Performance of Machine Learning Methods[12].
  • Evaluating the Fairness in the Performance of Machine Learning Methods's thesis submitted to is recorded as University of Washington[13].
  • Evaluating the Fairness in the Performance of Machine Learning Methods's on focus list of Wikimedia project is recorded as WikiProject PCC Wikidata Pilot/University of Washington[14].
  • Evaluating the Fairness in the Performance of Machine Learning Methods's thesis committee member is recorded as Ankur Teredesai[15].

Body

Designation and Status

Evaluating the Fairness in the Performance of Machine Learning Methods's instance of is recorded as master's thesis[3].

History and Context

+2018-00-00T00:00:00Z marks the founding of Evaluating the Fairness in the Performance of Machine Learning Methods[6].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [3] ↑ . WorldCat. Retrieved . wikidata.org.
  2. [2] ↑ . WorldCat. Retrieved . wikidata.org.
  3. [4] ↑ . WorldCat. Retrieved . wikidata.org.
  4. [5] ↑ . WorldCat. Retrieved . wikidata.org.
  5. [6] ↑ . WorldCat. Retrieved . wikidata.org.
  6. [7] ↑ . wikidata.org.
  7. [8] ↑ . WorldCat. Retrieved . wikidata.org.
  8. [9] ↑ . WorldCat. Retrieved . wikidata.org.
  9. [10] ↑ . WorldCat. Retrieved . wikidata.org.
  10. [11] ↑ . WorldCat. Retrieved . wikidata.org.
  11. [12] ↑ . WorldCat. Retrieved . wikidata.org.
  12. [13] ↑ . WorldCat. Retrieved . wikidata.org.
  13. [14] ↑ . wikidata.org.
  14. [15] ↑ . WorldCat. Retrieved . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Evaluating the Fairness in the Performance of Machine Learning Methods. Retrieved May 3, 2026, from https://4ort.xyz/entity/evaluating-the-fairness-in-the-performance-of-machine-learning-methods
MLA “Evaluating the Fairness in the Performance of Machine Learning Methods.” 4ort.xyz Knowledge Graph, 4ort.xyz, 3 May. 2026, https://4ort.xyz/entity/evaluating-the-fairness-in-the-performance-of-machine-learning-methods.
BibTeX @misc{4ortxyz_evaluating-the-fairness-in-the-performance-of-machine-learning-methods_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Evaluating the Fairness in the Performance of Machine Learning Methods}}, year = {2026}, url = {https://4ort.xyz/entity/evaluating-the-fairness-in-the-performance-of-machine-learning-methods}, note = {Accessed: 2026-05-03}}
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