Imagine you are working on a marketing campaign for a retail company. The company wants to...
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Imagine you are working on a marketing campaign for a retail company. The company wants to identify the factors that influence customer purchasing decisions in order to improve their targeting strategies. Task: 1. Design a decision tree model that predicts whether a customer will make a purchase based on a set of given attributes such as; age, gender, income level, → past purchase history. 2. Explain the steps you would take to build and evaluate the decision tree, including;+ ii. iii. iv. ii. iii. data preprocessing, feature selection, + model validation. → 3. Finally, analyze and interpret the decision tree to provide actionable insights for the marketing team. Imagine you are working on a marketing campaign for a retail company. The company wants to identify the factors that influence customer purchasing decisions in order to improve their targeting strategies. Task: 1. Design a decision tree model that predicts whether a customer will make a purchase based on a set of given attributes such as; age, gender, income level, → past purchase history. 2. Explain the steps you would take to build and evaluate the decision tree, including;+ ii. iii. iv. ii. iii. data preprocessing, feature selection, + model validation. → 3. Finally, analyze and interpret the decision tree to provide actionable insights for the marketing team.
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Designing a Decision Tree Model Attributes for Prediction Age Gender Income Level Past Purchase History Target Variable Purchase Decision Binary YesNo ... View the full answer
Related Book For
Auditing A Practical Approach with Data Analytics
ISBN: 978-1119401742
1st edition
Authors: Raymond N. Johnson, Laura Davis Wiley, Robyn Moroney, Fiona Campbell, Jane Hamilton
Posted Date:
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