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A comparison of LightGBM and perceptron for classifying the cause of salary differences between workgroups: Comparative study for classifying the reason for salary difference with different machine learning algorithms
University of Skövde, School of Informatics.
2021 (English)Independent thesis Basic level (degree of Bachelor), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Machine learning is part of what is called AI. It is defined as the application of an algorithm to improve a result through learning.

In Sweden, the law requires large companies and organizations to revise their salaries every year to ensure there is no wage disparity between men and women. This could be used as an assisting tool if machine learning is applied to the analysis process.

By training two different models and test them against the same test dataset different metrics can be obtained and analyzed to see how they perform in comparison to each other. The results show a slightly improved performance by the perceptron and that there is room for further development.

This study is limited to a smaller dataset for training and testing. But in the future, more relevant features and larger datasets could be added for training the models and lead to a more accurate model.

Place, publisher, year, edition, pages
2021. , p. 38
National Category
Information Systems, Social aspects
Identifiers
URN: urn:nbn:se:his:diva-20195OAI: oai:DiVA.org:his-20195DiVA, id: diva2:1577628
External cooperation
SysArb AB
Subject / course
Informationsteknologi
Educational program
Computer Science - Specialization in Systems Development
Supervisors
Examiners
Available from: 2021-07-02 Created: 2021-07-02 Last updated: 2021-07-02Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf