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undergraduate thesis
Biblioteka za rad sa slučajnim šumama
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:066046
Ćurić, Jakov
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Ćurić, J. (2021). Biblioteka za rad sa slučajnim šumama (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:066046

Ćurić, Jakov. "Biblioteka za rad sa slučajnim šumama." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:066046

Ćurić, Jakov. "Biblioteka za rad sa slučajnim šumama." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:066046

Ćurić, J. (2021). 'Biblioteka za rad sa slučajnim šumama', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 24 August 2024, https://urn.nsk.hr/urn:nbn:hr:168:066046

Ćurić J. Biblioteka za rad sa slučajnim šumama [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2024 August 24] Available at: https://urn.nsk.hr/urn:nbn:hr:168:066046

J. Ćurić, "Biblioteka za rad sa slučajnim šumama", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:066046

Metadata
TitleBiblioteka za rad sa slučajnim šumama
Title (english)Library for Random Forest Algorithm
AuthorJakov Ćurić
MentorMarko Čupić (mentor)
Committee memberMarko Čupić (predsjednik povjerenstva)
Committee memberMihael Marović (član povjerenstva)
Committee memberZoran Medić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-09-14, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu implementirana je biblioteka za rad sa slučajnim šumama u programskom jezku Java. Objašnjeni su temeljni pojmovi i problemi koji se javljaju pri stvaranju i evaluaciji stabala regresije i klasifikacije. Navadeni su načešće korišteni algoritmi današnjice te su analizirane njihove sličnosti i razlike te prednosti i mane. Biblioteka je testirana kroz ukupno 5 testova. Prva tri testa uključuju kreiranje i evaluaciju pojedinačnih stabala za odabrane probleme klasifikacije i regresije. Ostala dva testa provjeravaju kreiranje i evaluaciju slučajne šume za odabrane probleme klasifikacije i regresije. U testovima su prikazani programi, podaci koji se koriste te ispisi programa. Prokomentirane su sve klase od kojih se biblioteka sastoji te su objašnjene najvažnije metode.
Abstract (english)
The main goal of this thesis was to implement a random forest Java library. The key concepts and problems of building and evaluating decision trees are explained. The most relevant modern decsion tree building algorithms are listed, mutually compared and their advantages and disadvantages are described. The library is tested with a total of 5 tests. The first three tests include building and evaluating singular decision trees for different problems of classification and regression. The last two tests include building and evaluating a random forest for different problems of classification and regression. The tests include the main methods, the data being used and the outputs. Every class of the library is described and the most relevant methods are analyzed.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:066046
Study programmeTitle: 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 resourceText
File originBorn digital
Access conditionsClosed access
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Created on2023-01-14 20:15:19