An example learning a churn prediction model. The data is
describing customers and their calling behavior, including minutes spent
on their contract, support cases and other type of interactions between
customer and provider. Objective is to build a model identifying
customers who are likely to churn so that targeted campaigns can be
conducted.
Used extensions & nodes
Created with KNIME Analytics Platform version 4.1.3 Note: Not all extensions may be displayed.
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