Why choose this project topic?
This topic turns checking whether estimated churn probabilities match observed outcomes into a measurable analytical question. Comparing Brier score, calibration error and recall at a chosen capacity gives a student material for visual results, methodological criticism and a discussion of how the data's limitations change the conclusion.
How does customer churn probability calibration affect checking whether estimated churn probabilities match observed outcomes, as measured by Brier score, calibration error and recall at a chosen capacity?
Choose an accessible licensed or synthetic dataset, agree the unit of analysis and narrow checking whether estimated churn probabilities match observed outcomes to a reproducible comparison your supervisor can review.
Proposed project objectives
- 01Define the data, assumptions and comparison design for checking whether estimated churn probabilities match observed outcomes.
- 02Use licensed or synthetic subscription histories, separate temporal holdouts and compare calibration methods after fitting a fixed baseline model.
- 03Compare Brier score, calibration error and recall at a chosen capacity and report uncertainty and sensitivity to analytical choices.
A suggested research approach
Use licensed or synthetic subscription histories, separate temporal holdouts and compare calibration methods after fitting a fixed baseline model. Confirm the data licence and variable definitions before analysis. Preserve an untouched evaluation set where relevant, document exclusions and missingness, and report Brier score, calibration error and recall at a chosen capacity with uncertainty or sensitivity checks rather than selecting only favourable results.
What you will need
- Licensed or synthetic subscription data
- Temporal split plan
- Calibration analysis library
Keep your project scope clear
Association-based predictions do not establish why customers leave or justify unfair treatment.
Data Science project chapter outline
Use this outline as a starting point. You can edit the chapter titles to match your department’s format during setup.
- Chapter 1Introduction
- Chapter 2Literature Review
- Chapter 3Research Methodology
- Chapter 4Presentation and Analysis of Results
- Chapter 5Summary, Conclusion and Recommendations
Turn this topic into your own final year project.
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