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Training Workflow

Test data Preprocessing:Inorder to capture and create the workflow for preprocessing test data and new data, the previous values of test partition arereovered using a join on row id's so that the preprocessing appliance can be captured from the start. Train Models on TrainingPartition Evaluation of The Models on Test Partition (ROC and othermetrics for chosen model) Training RF (selected Model) on all the training data and capturing it fordeployment as a prediction service Retrain model on all data: Node 3Read Training DataConnect to Data DirectoryNode 826 INDUCERTraining Partitionoutput port 0: Femaleoutput port 1: MalePreprocessNode 1622Node 1623Node 1624Node 1625Node 1626Testing Partitionoutput port 0: Femaleoutput port 1: MaleMetrics of RFSmoker Class PredNode 1639Node 1711Node 1712ROc 4 ModelsCalculate AverageSmoke ProbabilitySegregate TestFemale and MaleNode 1719Segregate TrainingFemale and MaleNode 1722Node 1724Node 1726Node 1727Node 1728INDUCERPartitioning Excel Reader Space Connector RandomForest (3.7) Weka Predictor(3.7) Row Splitter Filter andOversample Female Pre_Processing Pre_Processing(Apply) Joiner CaptureWorkflow Start CaptureWorkflow End Workflow Writer Space Connector Row Splitter EvaluationComponent DuplicateRow Filter Random Forest Joiner XGB NN Keras Joiner ROC Curve Math Formula Row Splitter Concatenate CaptureWorkflow Start Row Splitter Column Filter CaptureWorkflow End Column Filter Workflow Writer Space Connector RandomForest (3.7) Weka Predictor(3.7) Test data Preprocessing:Inorder to capture and create the workflow for preprocessing test data and new data, the previous values of test partition arereovered using a join on row id's so that the preprocessing appliance can be captured from the start. Train Models on TrainingPartition Evaluation of The Models on Test Partition (ROC and othermetrics for chosen model) Training RF (selected Model) on all the training data and capturing it fordeployment as a prediction service Retrain model on all data: Node 3Read Training DataConnect to Data DirectoryNode 826 INDUCERTraining Partitionoutput port 0: Femaleoutput port 1: MalePreprocessNode 1622Node 1623Node 1624Node 1625Node 1626Testing Partitionoutput port 0: Femaleoutput port 1: MaleMetrics of RFSmoker Class PredNode 1639Node 1711Node 1712ROc 4 ModelsCalculate AverageSmoke ProbabilitySegregate TestFemale and MaleNode 1719Segregate TrainingFemale and MaleNode 1722Node 1724Node 1726Node 1727Node 1728INDUCERPartitioning Excel Reader Space Connector RandomForest (3.7) Weka Predictor(3.7) Row Splitter Filter andOversample Female Pre_Processing Pre_Processing(Apply) Joiner CaptureWorkflow Start CaptureWorkflow End Workflow Writer Space Connector Row Splitter EvaluationComponent DuplicateRow Filter Random Forest Joiner XGB NN Keras Joiner ROC Curve Math Formula Row Splitter Concatenate CaptureWorkflow Start Row Splitter Column Filter CaptureWorkflow End Column Filter Workflow Writer Space Connector RandomForest (3.7) Weka Predictor(3.7)

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To use this workflow in KNIME, download it from the below URL and open it in KNIME:

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Created by: Alfred
Created at: 2024-02-16
On NodePit since: 2024-06-13
Last update: 2024-09-16
Created with KNIME version: v5.2.1

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