I am working on telecom churn use case in rapidminer and have built the model using logistic regression. After executign the model I am getting the prediction successfully.Now I want to recommend some actions or prescriptions to stop customer churn.for example I want to output such text based on the predicted data:"increase internet volume for old users in same price","improve fiber optic service".In order to achieve such output I have selected this approach as follows:
1) define business rules on the predicted outcome data (like if customer minutes are less than <140 and internet usage is 5GB then recommend bla bla package).
2)by covering all the use cases based on the predicted data show different outcomes in text to the client to stop customer churn.
The way to do this is I guess through coding in a language that is supported by rapidminer.
I want to know how can I achieve this functionallity. If you have any questions please feel free to ask.