September 2001
Intermediate to advanced
182 pages
4h 16m
English
Content preview from Mining Your Own Business in Telecoms Using DB2 Intelligent Miner for Data
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Chapter 5. Can you predict the customers who are likely to leave? 103
Neural network — prediction
Neural prediction produces similar results to RBF, which is the quantile view
based on the prediction result. For a better understanding of neural prediction
output, you can build the tree model using, for example, the top and bottom 10%
of customers based on predicted value to identify the characteristics of churners.
This is covered in detail in Chapter 6, “How to discover the true value of your
customers” on page 109.
5.6.2 Performance comparison
Now, using decision tree, RBF and neural network prediction, you’ve identified
what kind of characteristics are involved in a customer’s churn action. We can get
the insights based on the results from ...
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