Churn Prediction - Solution to the exercise use case for KNIME User Training - Read data from different sources - Concatenate and join data tables - Bring values from a reference table to the data - Modify String values, change column types, and handle missing values - Visualize data to explore it - Train a decision tree model, and apply it to test data and real data - Evaluate the preformance of the classification model - Export the decision tree model as a PMML model file - Write the prediction results into a database - Generate a BIRT report that shows the results
This is a companion discussion topic for the original entry at https://kni.me/w/xrajBm6YDZwAlVll