CEU Electronic Theses and Dissertations, 2019
Author | Figuerres, Karlo Nicolas Jaspe |
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Title | Predicting Cancellations and No-Shows Using R |
Summary | The primary objective of the study is to create a prediction model that will identify which reservations will most likely be canceled or be no-shows. The secondary goals are to explore all available data (e.g. lead time, hotel location, hotel star level, time of year, method of booking) and identify which variables are good predictors for cancellations and no-shows, spot questionable information and raise to the client possible discrepancies in the data to properly address these moving forward, create visualizations showing patterns between variables that are relevant in the creation of the prediction model, and validate the performance of the model to see if it met the required specifications of the client (e.g. focus on predictive power, interpretability). |
Supervisor | Bekes, Gabor |
Department | Economics MSc |
Full text | https://www.etd.ceu.edu/2019/figuerres_karlo.pdf |
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