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undergraduate thesis
Primjena algoritma stabla odlučivanja u strojnom učenju
2022. urn:nbn:hr:289:136812
Anušić, Valentina
University of Applied Sciences in Information Technology

Cite this document

Anušić, V. (2022). Primjena algoritma stabla odlučivanja u strojnom učenju (Undergraduate thesis). Zagreb: University of Applied Sciences in Information Technology. Retrieved from https://urn.nsk.hr/urn:nbn:hr:289:136812

Anušić, Valentina. "Primjena algoritma stabla odlučivanja u strojnom učenju." Undergraduate thesis, University of Applied Sciences in Information Technology, 2022. https://urn.nsk.hr/urn:nbn:hr:289:136812

Anušić, Valentina. "Primjena algoritma stabla odlučivanja u strojnom učenju." Undergraduate thesis, University of Applied Sciences in Information Technology, 2022. https://urn.nsk.hr/urn:nbn:hr:289:136812

Anušić, V. (2022). 'Primjena algoritma stabla odlučivanja u strojnom učenju', Undergraduate thesis, University of Applied Sciences in Information Technology, accessed 05 March 2025, https://urn.nsk.hr/urn:nbn:hr:289:136812

Anušić V. Primjena algoritma stabla odlučivanja u strojnom učenju [Undergraduate thesis]. Zagreb: University of Applied Sciences in Information Technology; 2022 [cited 2025 March 05] Available at: https://urn.nsk.hr/urn:nbn:hr:289:136812

V. Anušić, "Primjena algoritma stabla odlučivanja u strojnom učenju", Undergraduate thesis, University of Applied Sciences in Information Technology, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:289:136812

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Metadata
TitlePrimjena algoritma stabla odlučivanja u strojnom učenju
Title (english)Application of the Decision Tree Algorithm in Machine Learning
AuthorValentina Anušić
MentorLjubomir Hrboka (mentor)
Committee memberMarijan Čančarević (predsjednik povjerenstva)
Committee memberDragana Čulina (član povjerenstva)
GranterUniversity of Applied Sciences in Information Technology
Zagreb
Defense date and country2022-11-29, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ovaj završni rad temelji se na teorijskom dijelu gdje su opisane metode strojnog učenja, metoda stabla odlučivanja te praktičnog dijela primjene metode stabla odlučivanja. U uvodu se govori što će sve biti opisano i bitne teme koje su nakon uvoda objašnjene. U nastavku rada odrađen je algoritam strojnog učenje te algoritam stablo odlučivanja. Definirane su vrste strojnog učenja, prednosti i nedostaci stabla odlučivanja, osnovni kriteriji za izradu stabla odlučivanja. Na temelju teorijskog dijela rada, napravljen je praktični rad. U praktičnom radu dobiveni su rezultati su potvrdili točnost metode stabla odlučivanja.
Abstract (english)
This final thesis is based on the theoretical part where the machine learning method and the decision tree method are described and the practical part of the application of the decision tree method is implemented in Python. The introduction tells what will be described. In the continuation of the work the types of machine learning, the advantages and disadvantages of the decision tree and the basic criteria for creating a decision tree are explained. In the practical work obtained results have confirmed the accuracy of the decision tree algorithm.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:289:136812
Study programmeTitle: INFORMATION TECHNOLOGY
Study programme type: professional
Study level: undergraduate
Academic / professional title: prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka informacijskih tehnologija (prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka informacijskih tehnologija)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2025-03-05 15:36:29