Hair Care ProductUplift Modeling. This problem uses the dataset in Hair-CareProduct.csv, courtesy of SAS. In this hypothetical
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Hair Care Product—Uplift Modeling. This problem uses the dataset in Hair-CareProduct.csv, courtesy of SAS. In this hypothetical case, a promotion for a hair care product was sent to some members of a buyers club. Purchases were then recorded for both the members who got the promotion and those who did not.
a. What is the purchase propensity:
i. Among those who received the promotion?
ii. Among those who did not receive the promotion?
b. Partition the data into training (60%) and validation (40%) and fit:
i. Uplift using a random forest.
ii. Uplift using k-NN.
c. Report the two models’ recommendations for the first three members
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Related Book For
Machine Learning For Business Analytics
ISBN: 9781119828792
1st Edition
Authors: Galit Shmueli, Peter C. Bruce, Amit V. Deokar, Nitin R. Patel
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