Model višedimenzionalne analize podataka s primjenom na problem klasifikacije sportaša

undergraduate thesis

• Title (english): Higher-dimensional data analysis with application in classification of players
• Author: Karlo Kada
• Mentor: Lenka Mihoković (mentor)
• Committee member: Lenka Mihoković (predsjednik povjerenstva)
• Committee member: Tomislav Burić (član povjerenstva)
• Committee member: Mervan Pašić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2022-07-05, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

Da bi se dobio odgovor na problem predviđanja budućeg uspjeha mladih sportaša,
isti su nasumično podijeljeni u dvije skupine - kontrolnu i radnu. Radna se skupina
koristila za razvoj i optimizaciju novog višedimenzionalnog modela koji je
kombinirao SVD i ROC analizu. Nakon optimizacije, model je testiran na kontrolnoj
skupini. Korištenjem SVD analize nad antropometričkim podacima i podacima
fizičke spreme, objektivno su određeni kriteriji za razlikovanje budućeg uspjeha u
karijeri sa senzitivnošću većom od 80%. Zbog toga zaključujemo da bi predložena
analiza mogla biti korisna prilikom raspoznavanja talenta igrača.

Abstract (english)

To solve the problem of young players’ future career attainment prediction,
players were blindly and randomly divided into two datasets - explanatory and
validation. The exploratory dataset was used to develop and optimize a novel
higher-dimensional model, which combined SVD with ROC analysis. Once
optimized, the model was tested using the validation dataset. Through the use of SVD
analysis it was possible to objectively identify criteria to distinguish future career
attainment with a sensitivity over 80% using anthropometric and fitness data alone.
As such, this suggests that proposed analysis may be a useful analysis tool for
research and practice within talent identification.

• Keywords: SVD analiza; ROC analiza; klasifikacija; sport; predviđanje
• Keywords (english): SVD analysis; ROC analysis; classification; sport; prediction
• Language: croatian
• URN:NBN: urn:nbn:hr:168:702548
• Study programme: Title: Computing; Study programme type: university; Study level: undergraduate; Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2023-01-15 10:28:29