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Setting up Binary response for Employees Terminated or Not as per the column Employees Status Relationship evaluation between“SpecialProjectsCount” and “EmployeeTerminated or Not”. Neural Network Model Logistic Regression Model DataNode 2Node 3Emp Status - ActiveEmp Status - Future StartEmp Status - Leave of AbsenceEmp Status -Voluntarily TerminatedEmp Status -Terminated for CauseNode 9Node 10Node 11Node 12Node 13Node 14Node 15Node 16Node 17Node 18Node 19Node 20Node 21Node 22 CSV Reader Data Explorer ConditionalBox Plot String Manipulation String Manipulation String Manipulation String Manipulation String Manipulation Linear Correlation Crosstab (local) One to Many Column Filter Partitioning Normalizer Normalizer RProp MLP Learner MultiLayerPerceptronPredictor Scorer Linear Correlation LogisticRegression Learner Logistic RegressionPredictor Scorer Setting up Binary response for Employees Terminated or Not as per the column Employees Status Relationship evaluation between“SpecialProjectsCount” and “EmployeeTerminated or Not”. Neural Network Model Logistic Regression Model DataNode 2Node 3Emp Status - ActiveEmp Status - Future StartEmp Status - Leave of AbsenceEmp Status -Voluntarily TerminatedEmp Status -Terminated for CauseNode 9Node 10Node 11Node 12Node 13Node 14Node 15Node 16Node 17Node 18Node 19Node 20Node 21Node 22 CSV Reader Data Explorer ConditionalBox Plot String Manipulation String Manipulation String Manipulation String Manipulation String Manipulation Linear Correlation Crosstab (local) One to Many Column Filter Partitioning Normalizer Normalizer RProp MLP Learner MultiLayerPerceptronPredictor Scorer Linear Correlation LogisticRegression Learner Logistic RegressionPredictor Scorer

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