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SASData
Calcite | Level 5

I have a large dataset that is mixed with converters and non-converters. I'm trying to create a machine learning model that will assign a score to the non-converters liklihood to convert based off of shared characteristics between non-converters and converters. What tool in enterprise miner would be best for creating this model?

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WendyCzika
SAS Employee

Take a look at this tip that was posted in the SAS Communities Library for Data Mining:

Tip: Predictive Modeling by Example in SAS Enterprise Miner

 

It has links to sample flows you can download from our GitHub repository to help you get started with various predictive models you can use (see the first 2 flows in the PredictiveModeling folder).  You can run these with the sample data provided, and after you create a data source for your data, you can connect your data to these flows to see what model performs best.  There are instructions in the README file at the link above that tell you how to import the XML files into your SAS Enterprise Miner project.  Hope that helps you get started!

 

 

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How to choose a machine learning algorithm

Use this tutorial as a handy guide to weigh the pros and cons of these commonly used machine learning algorithms.

Find more tutorials on the SAS Users YouTube channel.

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