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.

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.

Show other versions (1)

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 day...

Full description

Bibliographic Details
Main Authors: Andersson, Martin, Mazouch, Marcus
Format: Others
Language:English
Published: Umeå universitet, Institutionen för matematik och matematisk statistik 2019
Subjects:
statistics
classification
machine learning
logistic regression
support vector machine
rbf
significance
prediction
propensity to buy
flight
tickets
ai
artificiell intelligens
walds test
sas
scandinavian airlines
statistik
klassificering
maskininlärning
signifikans
prediktion
benägenhet att köpa
biljett
flyg
artificial intelligence
Probability Theory and Statistics
Sannolikhetsteori och statistik
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-160855

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-160855

Similar Items