Predictive Analytics for Passenger Recommendations in Airport Lounges

Running Head: PREDICTIVE ANALYTICS
Predictive Analytics
Name of the Student
Name of the University
Author Note

1PREDICTIVE ANALYTICS
Table of Contents
Background of the Study............................................................................................................3
Preparation of Data....................................................................................................................3
Discovering the Relationship.....................................................................................................4
Creation of the Model................................................................................................................7
Logistic Regression................................................................................................................7
Process................................................................................................................................8
Output.................................................................................................................................9
Decision Tree.........................................................................................................................9
Process................................................................................................................................9
Output...............................................................................................................................10
Model Evaluation.....................................................................................................................11
Logistic Regression..............................................................................................................11
Prediction Model..............................................................................................................11
ROC Curve.......................................................................................................................12
Lift Chart..........................................................................................................................13
Accuracy..........................................................................................................................13
Decision Tree.......................................................................................................................13
Prediction Model..............................................................................................................14
ROC Curve.......................................................................................................................15
Lift Chart..........................................................................................................................15

2PREDICTIVE ANALYTICS
Accuracy..........................................................................................................................16
Overall Comparison.............................................................................................................16
Recommendations....................................................................................................................17

3PREDICTIVE ANALYTICS
Background of the Study
Airport Quality Agency is in the interest of reviewing different aspects of travelling
by flight that the flight passengers experience in their trip. The agency is interested in
collecting information of the passenger recommendations on four different aspects. They are
airlines, airports, lounges and seats. In this report, the analysis of the recommendations will
be conducted on the dataset on lounges. To collect the information on the passenger
recommendations, a mini survey has been conducted by the Airport Quality Agency (AQA).
The survey was conducted with the help of Skytrax and they collected the customer reviews
on various aspects that the passengers experience in the lounge area. This is a primary survey
that the Airport Quality Agency is conducting. A further study will be conducted based on
these results in the future where the data will be collected from different active social media
networks such as facebook and twitter for future analysis.
In this report, the data collected by Skytrax will be analysed using appropriate
statistical techniques and with the help of the data mining tool of Rapid Miner. This analysis
will be mainly based on the data collected on the various aspects of the lounge area. The
better the lounge area of any airport, more people will be preferring to avail flight due to the
better service and definitely for the lesser time.
The primary objective of this research is to identify which are the factors that are
significantly responsible for recommendation of the lounge area by the passengers. In order
to identify these factors, the data collected by Skytrax will be explored and the necessary
results will be discussed accordingly.
Preparation of Data
The dataset on lounge consists information about a lot of aspects. All these aspects are
not necessary for the recommendation of airport to the non-existing passengers. Thus, the