sql-server-samples/samples/features/r-services/telco-customer-churn-v1/SQL

Instructions

• After executing those R scripts, an edw_cdr SQL table will be created.
• Run the code in telcoChurn-operationalize.sql
• Run the code in telcoChurn-main.sql

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Description

• telcoChurn-main.sql - Use this T-SQL script to try out the telco customer churn example.
• telcoChurn-operationalize.sql - T-SQL scripts to create the stored procedures used in this example.

The database consists of the following tables

• cdr_models - Contains the serialized R models that are used for predicting customer churn
• edw_cdr- Base Call Detail Records (CDR)
• edw_cdr_train- Training data
• edw_cdr_test - Testing data
• edw_cdr_pred - Predicted results

and the following stored procedures

• generate_cdr_rx_forest - Train decision forest model with the rxDForest algorithm in RevoScaleR library
• predict_cdr_rx_forest - Predict customer churn using the trained model
• model_evaluate - Generate model performance metrics: Accuracy, Precision, Recall, F-score
• model_roccurve - Generate ROC curve
• pie - Create a pie chart to visualize the proportion of predicted customer churn
• stackedbar - Create a stacked bar chart to visualize the model confusion matrix

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