Assignment
Background
This is an individual assignment, which requires you to analyse a given dataset, interpret, draw conclusions from your analysis, and then convey your conclusions in a written report.
Assurance of Learning
This assignment assesses following Graduate Learning Outcomes and related Unit Learning Outcomes:
Graduate Learning Outcome (GLO)
GLO1: Discipline-specific knowledge and capabilities: appropriate to the level of study related to a discipline or profession.
GLO3: Digital literacy: using technologies to find, use and disseminate information
GLO5: Problem Solving: creating solutions to authentic (real world and ill define) problems.
Analysis Tasks
1- Construct a model to predict customer churn using binary classification trees (C&R Tree) and evaluate the performance of the constructed model on the holdout sample provided (use metrics related to confusion matrix).
2- Evaluate the performance of the constructed model against the RFM method (use lift chart-
i.e. concentration to make the comparison).
Report Tasks
1- Introduction and problem definition
2- Literature review: Use only academic journal articles. APA style should be used for referencing.
3- Methodology and empirical study: this should include a discussion of your analytical techniques, your model evaluation metrics, your working data, and your model building process.
4- Results: evaluate your analysis results to explain how the constructed models perform and also how they are positioned against a random model (random guessing).
5- Conclusion and Recommendations: This should consider the implications of your results and how they may contribute to customer retention and reduce marketing expenditure.
Attachment:- Assignment.rar