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Challenge 23 - Churn Prediction

Challenge 23 - Churn Prediction
Using a Regression Tree model failed. It always predicts zero, no matter the input. Cross Validated model. 10 fold Stratified validation using churn as target variable Using the previously saved model on the supplied test data Using separate training and test data supplied and predicting churn. Comparing the ROC of the cross validated vsnon cross validated model Test DataTraining dataCrossValNode 5Cross ValCross ValChurn to stringCross Validated90.7 AccuracyNode 17Basic Basic : 91.2 AccuracyChurn to stringNode 31Node 34Node 35Node 36For ROCTo see both models in ROCFor ROCNode 40Node 41Node 42Cross Validated model on supplied test data91.1 AccuracyCSV Reader CSV Reader DecisionTree Learner Decision TreePredictor X-Partitioner X-Aggregator Number To String Scorer Decision TreePredictor DecisionTree Learner Scorer Number To String Numeric Scorer Simple RegressionTree Learner Simple RegressionTree Predictor ROC Curve (local) Column Filter Column Appender Column Filter Model Writer Model Reader Decision TreePredictor Scorer Using a Regression Tree model failed. It always predicts zero, no matter the input. Cross Validated model. 10 fold Stratified validation using churn as target variable Using the previously saved model on the supplied test data Using separate training and test data supplied and predicting churn. Comparing the ROC of the cross validated vsnon cross validated model Test DataTraining dataCrossValNode 5Cross ValCross ValChurn to stringCross Validated90.7 AccuracyNode 17Basic Basic : 91.2 AccuracyChurn to stringNode 31Node 34Node 35Node 36For ROCTo see both models in ROCFor ROCNode 40Node 41Node 42Cross Validated model on supplied test data91.1 Accuracy CSV Reader CSV Reader DecisionTree Learner Decision TreePredictor X-Partitioner X-Aggregator Number To String Scorer Decision TreePredictor DecisionTree Learner Scorer Number To String Numeric Scorer Simple RegressionTree Learner Simple RegressionTree Predictor ROC Curve (local) Column Filter Column Appender Column Filter Model Writer Model Reader Decision TreePredictor Scorer

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