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master's thesis
Primjena strojnog učenja u predviđanju cijena avionskih letova
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. urn:nbn:hr:168:777466
Lopotar, Matej
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Lopotar, M. (2024). Primjena strojnog učenja u predviđanju cijena avionskih letova (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:777466

Lopotar, Matej. "Primjena strojnog učenja u predviđanju cijena avionskih letova." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:777466

Lopotar, Matej. "Primjena strojnog učenja u predviđanju cijena avionskih letova." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:777466

Lopotar, M. (2024). 'Primjena strojnog učenja u predviđanju cijena avionskih letova', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 02 April 2025, https://urn.nsk.hr/urn:nbn:hr:168:777466

Lopotar M. Primjena strojnog učenja u predviđanju cijena avionskih letova [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2024 [cited 2025 April 02] Available at: https://urn.nsk.hr/urn:nbn:hr:168:777466

M. Lopotar, "Primjena strojnog učenja u predviđanju cijena avionskih letova", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:168:777466

Metadata
TitlePrimjena strojnog učenja u predviđanju cijena avionskih letova
Title (english)Application of Machine Learning in Prediction of Airfare Prices
AuthorMatej Lopotar
MentorTomislav Burić (mentor)
Committee memberTomislav Burić (predsjednik povjerenstva)
Committee memberJosipa Pina Milišić (član povjerenstva)
Committee memberLenka Mihoković (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2024-07-09, Croatia
Abstract
Cijene avionskih karata variraju prema mnogim faktorima kao što su dan leta, gradovi polaska i dolaska, trajanje leta, broj dana do leta, broj presjedanja i aviokompanija kojom se leti. Zrakoplovne kompanije određuju cijene na temelju algoritama koje su razvile. Testiranje i analiza provedeni su na skupu podataka koji opisuje njemačke letove. Cilj istraživanja je na temelju dostupnih podataka o letovima predvidjeti cijenu avionskih karata koristeći različite regresijske algoritme koji se... More temelje na stablima odlučivanja. Prije samog predviđanja podaci su detaljno analizirani i stršeće vrijednosti su uklonjene. Implementirana su tri regresijska algoritma: RandomForestRegressor, ExtraTreesRegressor i DecisionTreeRegressor. Rezultati su opisani pomoću sljedećih metrika: Mean Absolute Error (MAE), Mean Squared Error (MSE), Root Mean Squared Error (RMSE), R² koeficijent determinacije i Mean Absolute Percentage Error (MAPE). Less
Abstract (english)
Airline ticket prices vary according to many factors such as flight day, departure and arrival cities, flight duration, number of days until the flight, number of stopovers, and the airline company. Airline companies determine prices based on algorithms they have developed. Testing and analysis were conducted on a dataset describing German flights. The aim of the research is to predict airline ticket prices based on available flight data using various regression algorithms based on... More decision trees. Before the prediction itself, the data was analyzed and outliers were removed. Three regression algorithms were implemented: RandomForestRegressor, ExtraTreesRegressor, and DecisionTreeRegressor. The results are described using the following metrics: Mean Absolute Error (MAE), Mean Squared Error (MSE), Root Mean Squared Error (RMSE), R² coefficient of determination, and Mean Absolute Percentage Error (MAPE). Less
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:777466
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Public note
Created on2024-10-12 21:21:37
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