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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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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