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A churn prediction model based on a player's historical playing habits, rather than an arbitrary cut-off point. This inspiration came from the paper, https://www.sciencedirect.com/science/article/pii/S2666603023000143#abs0010, aimed at finding optimal churn predictions.
This project also makes use of MLflow , an open-source platform for managing the end-to-end machine learnin lifecycle.
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