Binary classification for predicting propensity to buy flight tickets : A study on whether binary classification can be used to predict Scandinavian Airlines customers' propensity to buy a flight ticket within the next seven days. / Binär klassificering applicerat på att prediktera benägenhet att köpa flygbiljetter

Description

A customers propensity to buy a certain product is a widely researched field and is applied in multiple industries. In this thesis it is showed that using binary classification on data from Scandinavian Airlines can predict their customers propensity to book a flight within the next coming seven days. A comparison between logistic regression and support vector machine is presented and logistic regression with reduced number of variables is chosen as the final model, due to it's simplicity and accuracy. The explanatory variables contains exclusively booking history, whilst customer demographics and search history is showed to be insignificant.

Links & Downloads

1. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-162412

Tags

Natural Sciences

Naturvetenskap

Additional Fields

Identifer	oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:umu-162412
Date	January 2019
Creators	Mazouch, Marcus, Andersson, Martin
Publisher	Umeå universitet, Institutionen för matematik och matematisk statistik, Umeå universitet, Institutionen för matematik och matematisk statistik
Source Sets	DiVA Archive at Upsalla University
Language	English
Detected Language	English
Type	Student thesis, info:eu-repo/semantics/bachelorThesis, text
Format	application/pdf
Rights	info:eu-repo/semantics/openAccess