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Lakeside Analytics: Churn Model Selection and Sign-Up Page A/B Test
Data Mining midterm (BANL 6625, Fall 2026). This report compares two customer churn models using confusion matrices, ROC curves and AUC. It then chooses a contact cutoff that minimizes business cost: $20 per retention offer against $150 per lost customer. Part 2 evaluates an A/B test of a new photo-menu sign-up page with a two-proportion test and a t-test on revenue per visitor. A power analysis estimates how much traffic future tests need. The report ends with recommendations for Lakeside’s VP of Marketing. Built in R with tidyverse, caret, pROC and pwr.