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Telco-Customer-Churn.csvTop: train set (75%)Bottom: test set (25%)Random samplingTrain the modelto predict hours per weekApply the modelto the test setEvaluate modelperformancescoring metricsApply the modelto the test setTop: train set (75%)Bottom: test set (25%)Stratified sampling on multiple linesTrain the modelto predict incomeCSV Reader Partitioning Linear RegressionLearner RegressionPredictor Numeric Scorer Missing Value Scorer (JavaScript) Decision TreePredictor ROC Curve Partitioning DecisionTree Learner Telco-Customer-Churn.csvTop: train set (75%)Bottom: test set (25%)Random samplingTrain the modelto predict hours per weekApply the modelto the test setEvaluate modelperformancescoring metricsApply the modelto the test setTop: train set (75%)Bottom: test set (25%)Stratified sampling on multiple linesTrain the modelto predict incomeCSV Reader Partitioning Linear RegressionLearner RegressionPredictor Numeric Scorer Missing Value Scorer (JavaScript) Decision TreePredictor ROC Curve Partitioning DecisionTree Learner

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Created by: jakeg
Created at: 2023-02-24
On NodePit since: 2023-02-26
Last update: 2024-11-18
Created with KNIME version: v4.7.0

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