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Predict Mobile Phone Prices

Read dataUpdate file path! Descriptive Statistics Bag of modelsExecute the Parameter Optimization Loop end in each metanode below prior toexecuting the nodes inside of the Evaluation annotation to the right --> EvaluationUpdate file paths! Data Summary Feature Evaluation Make price level prediction on unseen dataExecute Logistic Regression metanode prior to these nodes. Make sure toupdate the file path for the PMML reader to the path where PMML Writer wascreated. Export Cleaned DataUpdate file path! Read the " train" fileStatistics andCorrelationNode 13Simplify columnnamesNode 25Node 31Rename output valuesto price rangesNode 37Node 41kNNDecision TreeRandom ForestLogistic RegressionLogistic RegressionNode 67Node 69Node 70 CSV Reader Metanode Rank Correlation Column Rename Decision Tree Logistic Regression Numeric Binner kNN Random Forest Export DataStatistics Table to PDF Table to PDF Table to PDF Table to PDF Table to PDF Trained Logistic RegressionModel on Test Data Scatterplot CSV Writer Read dataUpdate file path! Descriptive Statistics Bag of modelsExecute the Parameter Optimization Loop end in each metanode below prior toexecuting the nodes inside of the Evaluation annotation to the right --> EvaluationUpdate file paths! Data Summary Feature Evaluation Make price level prediction on unseen dataExecute Logistic Regression metanode prior to these nodes. Make sure toupdate the file path for the PMML reader to the path where PMML Writer wascreated. Export Cleaned DataUpdate file path! Read the " train" fileStatistics andCorrelationNode 13Simplify columnnamesNode 25Node 31Rename output valuesto price rangesNode 37Node 41kNNDecision TreeRandom ForestLogistic RegressionLogistic RegressionNode 67Node 69Node 70 CSV Reader Metanode Rank Correlation Column Rename Decision Tree Logistic Regression Numeric Binner kNN Random Forest Export DataStatistics Table to PDF Table to PDF Table to PDF Table to PDF Table to PDF Trained Logistic RegressionModel on Test Data Scatterplot CSV Writer

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