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churn prediction

Churn = 0 customerremained with contractChurn = 1 customer quitcontract training set test set 80% vs. 20%Apply the trained modelto predict ChurnColor rows by churn valueChurn = 0 -> BlueChurn = 1 -> RedTarget Class = ChurnBuild ROC for predictionsArea codeand churn 0/1are converted toString. Match original vs. predicted Churn valuesJoin the contract data and the behavioral dataNode 114Node 115Node 116 Partitioning Decision TreePredictor Color Manager DecisionTree Learner ROC Curve Number To String Scorer Joiner Excel Reader CSV Reader PMML Writer Churn = 0 customerremained with contractChurn = 1 customer quitcontract training set test set 80% vs. 20%Apply the trained modelto predict ChurnColor rows by churn valueChurn = 0 -> BlueChurn = 1 -> RedTarget Class = ChurnBuild ROC for predictionsArea codeand churn 0/1are converted toString. Match original vs. predicted Churn valuesJoin the contract data and the behavioral dataNode 114Node 115Node 116 Partitioning Decision TreePredictor Color Manager DecisionTree Learner ROC Curve Number To String Scorer Joiner Excel Reader CSV Reader PMML Writer

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Created by: HP
Created at: 2023-02-16
On NodePit since: 2023-02-18
Last update: 2024-04-28
Created with KNIME version: v4.7.1

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