This page describes the
SQL Server VM on Azure
SQL Server On-Premises
solution.
SQL Database Tables
Below are the different data sets that you will find in your database after deployment.
Table | Description |
---|---|
Campaign_Detail | Raw data about each marketing campaign that occurred |
Lead_Demography | Raw demographics and financial data about each customer |
Market_Touchdown | Raw channel-day-time data used for every customer of Lead_Demography in every campaign he was targeted |
Product | Raw data about the product marketed in each campaign |
CM_AD0 | Merged data with missing values replaced by the mode |
CM_AD | Analytical data set: aggregated cleaned data set with new features |
CM_AD_N | Normalized version of CM_AD |
All tables with the _N (e.g. Age_N) | Table holding the normalization correspondance between the factors of each variable and the assigned integer |
Train_Id | Lead_Id that will go to the training set |
CM_AD_Train | Training set |
CM_AD_Test | Testing set |
Campaign_Models | Table storing the trained models |
Forest_Prediction | Prediction results for testing step with Random Forest |
Boosted_Prediction | Prediction results for testing step with GBT |
Campaign_Metrics | Performance metrics of the models tested |
Best_Model | Table with the name of the best model based on AUC |
Prob_Id | Table with the scoring results on the full table with the best model |
Recommendations | Table with the recommendations for each customer |