I think the data and the text in this example are indeed out-of-sync, and we will look into this. In the meantime, I suggest you look at the 'live' example on
https://www.ibm.com/cloud/watson-studio, where you will be able to look at the details of the data sets, and how the model is built:
- Hit the 'Start on cloud for free', login using your IBM Id.
- Once logged into IBM Cloud Pak for Data, in the section 'My projects', hit 'New Project'
- Hit 'Create a project from a sample or file'
- Choose the tab 'From sample'
- and then 'Predict customer interest to optimise a campaign...'
- Hit the blue 'Create' button in the lower right
- 'View new project'
- Navigate to the 'Assets' tab
- In the Notebooks section, hit the pencil at the right of the only notebook
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Xavier
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Original Message:
Sent: Mon August 10, 2020 05:51 AM
From: Suresh Abeyweera
Subject: Output of how to make targeted offers to customers
How to make targeted offers to customers? - DOcplex.MP: Mathematical Programming Modeling for Python V2.15 documentation This problem data set has 27 customers as input and their Product 1 and Product 2 confidance scores has been given,If we thoroughly investigate it is seen that no customer is given a probability of Product Car Loan,But If we thoroughly investigate on the outputs,(selected customer names list) some of the customers are offered Car Loan,Is there any other important thing I am missing here why the customers offers with Car Loan,Or is this a error on the Model,Can someone explain.ThanksIbmdecisionoptimization | remove preview |
| How to make targeted offers to customers? - DOcplex.MP: Mathematical Programming Modeling for Python V2.15 documentation | This tutorial includes everything you need to set up IBM Decision Optimization CPLEX Modeling for Python (DOcplex), build a Mathematical Programming model, and get its solution by solving the model with IBM ILOG CPLEX Optimizer. When you finish this tutorial, you'll have a foundational knowledge of Prescriptive Analytics. | View this on Ibmdecisionoptimization > |
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http://ibmdecisionoptimization.github.io/docplex-doc/mp/marketing_campaign.html
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Suresh Abeyweera
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#DecisionOptimization