Icon

01_​Training_​a_​Churn_​Predictor

Training a Churn Predictor
Read Data Contract Data Calls Data Conversions Churn and Area Code to String Color Churn 0 -> Blue 1 -> Red Partitioning 80% training 20% testing Pre-processing / Data Preparation Train Model Decision tree Save to PMML Evaluation Apply and score Model Churn Prediction - TrainingThis workflow is an example of how to train a basic machine learning model for a churn prediction task, using a Decision Tree algorithm. 80%vs. 20%colorby churnclass = churnarea codeand churn ->StringAuCCalls datacontract dataperformancescoringapply decision tree Partitioning Color Manager DecisionTree Learner Number To String ROC Curve Excel Reader PMML Writer CSV Reader Scorer Decision TreePredictor Joiner Read Data Contract Data Calls Data Conversions Churn and Area Code to String Color Churn 0 -> Blue 1 -> Red Partitioning 80% training 20% testing Pre-processing / Data Preparation Train Model Decision tree Save to PMML Evaluation Apply and score Model Churn Prediction - TrainingThis workflow is an example of how to train a basic machine learning model for a churn prediction task, using a Decision Tree algorithm. 80%vs. 20%colorby churnclass = churnarea codeand churn ->StringAuCCalls datacontract dataperformancescoringapply decision tree Partitioning Color Manager DecisionTree Learner Number To String ROC Curve Excel Reader PMML Writer CSV Reader Scorer Decision TreePredictor Joiner

Nodes

Extensions

Links

Download

To use this workflow in KNIME, download it from the below URL and open it in KNIME:

Download Workflow
Created by: rosy
Created at: 2015-04-23
On NodePit since: 2019-07-12
Last update: 2024-04-18
Created with KNIME version: v4.5.0
Tags: Customer IntelligenceCIchurndecision treePracticing Data Science

Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.

Try NodePit Runner!