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Hey there, I created a process for ChurnPrediction. My label in the data set is Churn.1 is for yes and 0 is for no. I used a decision tree and cross validation opeartor as you can see in my process.But the my model does not make predictions that a customer will move/churn.All customers are predicted to stay, therefore my…
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…
After doing predictive analysis in rapidminer now I know which customers will churn or not. Now for the customers who are going to churn, I want to know how I can suggest the best course of actions for the company to stop the churns of the customers? How can this be done in rapid miner? Thank you
I am new to rapid miner studio and trying to understand the telco customer churn process which is available in the community real-world use cases. But there seems to be an error in the process model I have attached the snapshot of error. Any idea how I can solve this, please?