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Deploying a Churn Predictor

Deploying a Churn Predictor
DEPLOYMENT OF A CHURN PREDICTORThis workflow deploys an already trained model that predicts which employees are at risk of leaving the company. After you execute the workflow, you can check the BIRT report to get some insights on the data.For more information see the workflow metadata. Find it here: View -> Description Results visualization Write output Apply ML model Data Transformations Read Data Monthly income boxplotPie chart after predictionsScatter plotLeavers by departmentNode 128Node 129Node 130Node 132Node 133 Image to Report Image to Report Image to Report Image to Report Read data Data Transformation Apply ML model Write output ResultsVisualization DEPLOYMENT OF A CHURN PREDICTORThis workflow deploys an already trained model that predicts which employees are at risk of leaving the company. After you execute the workflow, you can check the BIRT report to get some insights on the data.For more information see the workflow metadata. Find it here: View -> Description Results visualization Write output Apply ML model Data Transformations Read Data Monthly income boxplotPie chart after predictionsScatter plotLeavers by departmentNode 128Node 129Node 130Node 132Node 133 Image to Report Image to Report Image to Report Image to Report Read data Data Transformation Apply ML model Write output ResultsVisualization

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

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Created by: Marc Guirao
Created at: 2018-05-18
On NodePit since: 2020-04-30
Last update: 2024-04-24
Created with KNIME version: v4.3.1
Tags: ClearPeaksemployee attritionBirt reportHRchurn predictordeploymenttraining

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