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Zhou Fang
6021862dd2
This new version of telco churn demo leverages R, RevoScaleR and MicrosoftRML packages in SQL Server 2016.
1.2 KiB
1.2 KiB
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
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_mx_fasttree - Train gradient tree boosting model with the mxFastTree algorithm in MicrosoftRML library
- predict_cdr_mx_fasttree - 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