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Training_​a_​Churn_​Predictor

Training a Churn Predictor
Data Reading Pre-Processing Model Training and Evaluation Data Reading Pre-Processing Find the Best Model Parameters Optimize the settings for the Random Forest Train and compare the performance of a decicion tree and a random forest for churn prediction ContractDatabased ofArea Code and Phonearea codeand churn ->StringColor by ChurnCalls DataCreate atraining andtest setApply the decision treeTrain a decision tree Train arandom forestApply therandom forestCompare the performance of the decision treeand the random forestDefine possiblevaluesTrain model fordifferent settingcombinationsApply thecurrent modelTranslate split criterium indexto stringDefine objectivefunctionEvaluate the current modelEvaluate the decisiontree File Reader Joiner Number To String Color Manager Excel Reader (XLS) Partitioning Decision TreePredictor DecisionTree Learner Random ForestLearner Random ForestPredictor Binary ClassificationInspector Column Appender Parameter OptimizationLoop Start Random ForestLearner Random ForestPredictor Rule EngineVariable ParameterOptimization Loop End Scorer Scorer Read Data Pre-Processing Data Reading Pre-Processing Model Training and Evaluation Data Reading Pre-Processing Find the Best Model Parameters Optimize the settings for the Random Forest Train and compare the performance of a decicion tree and a random forest for churn prediction ContractDatabased ofArea Code and Phonearea codeand churn ->StringColor by ChurnCalls DataCreate atraining andtest setApply the decision treeTrain a decision tree Train arandom forestApply therandom forestCompare the performance of the decision treeand the random forestDefine possiblevaluesTrain model fordifferent settingcombinationsApply thecurrent modelTranslate split criterium indexto stringDefine objectivefunctionEvaluate the current modelEvaluate the decisiontree File Reader Joiner Number To String Color Manager Excel Reader (XLS) Partitioning Decision TreePredictor DecisionTree Learner Random ForestLearner Random ForestPredictor Binary ClassificationInspector Column Appender Parameter OptimizationLoop Start Random ForestLearner Random ForestPredictor Rule EngineVariable ParameterOptimization Loop End Scorer Scorer Read Data Pre-Processing

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Created by: rosy
Created at: 2015-04-23
On NodePit since: 2020-05-07
Last update: 2024-04-28
Created with KNIME version: v4.1.2
Tags: Customer IntelligenceCIchurn

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