Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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
Regression Analysis on NBA Players Background and Performance using Gaussian Processes: Can NBA-drafts be improved by taking socioeconomic background into consideration?
KTH, School of Engineering Sciences (SCI).
KTH, School of Engineering Sciences (SCI).
2014 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

In the modern society it is well known that an individual’s background matters in his career, but should it be taken into consideration in a recruiting process in general and a recruiting process of NBA-players in particular? Previous research shows that white basketball players from high-income families have a 75% higher chance of becoming an NBA player compared to a white basketball player from a low-income family. In this paper, we have examined whether there is a connection between NBA-player background and the chances of succeeding in the NBA given that the player has been picked in the NBA-draft. The results have been carried out using machine learning algorithms based on Gaussian Processes. The results show that draft decisions will not be improved by taking socio-economic background into consideration.

Place, publisher, year, edition, pages
2014. , 46 p.
National Category
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-153767OAI: oai:DiVA.org:kth-153767DiVA: diva2:753639
Educational program
Master of Science in Engineering -Engineering Physics
Supervisors
Available from: 2014-10-08 Created: 2014-10-08 Last updated: 2014-10-08Bibliographically approved

Open Access in DiVA

Ludvig Persson Lejon & Fredrik Berntsson Kandidatexam(947 kB)435 downloads
File information
File name FULLTEXT01.pdfFile size 947 kBChecksum SHA-512
26c8c1b9a1a7eeb39f460adae49723bb365922f46d60d85b37a97d7a86b2b624be34918b17fc27c67e22302d18fec5c0e352daa5e51fa0b5705e6f167fb37319
Type fulltextMimetype application/pdf

By organisation
School of Engineering Sciences (SCI)
Computer Science

Search outside of DiVA

GoogleGoogle Scholar
Total: 435 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 274 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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