01_​Modelling_​Workflow

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This workflow is using Integrated Deployment in a complex Guided Analytics application hardcoded to work with a Churn Prediction dataset.

Workflow steps:
- access and blend the data
- perform data exploration
- prepare the data with normal nodes and an interactive view
- optimize, train and test two models
- retrain and test the interactively selected model
- generate a final training workflow
- generate a final deployment workflow from the training workflow
- deploy the workflow on KNIME Server

This workflow also works on KNIME WebPortal and its use case is simple churn prediction

Nodes

• Row Filter67 ×
• RowID65 ×
• Column Filter64 ×
• Table Row to Variable46 ×
• Constant Value Column44 ×
• Show all 124 nodes

Extensions

• FeatureKNIME Base nodes
• FeatureKNIME Basic File System Connectors
• FeatureKNIME Data Generation
• FeatureKNIME Database
• FeatureKNIME Ensemble Learning Wrappers
• Show all 16 modules

Links

• No links available