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
To use this workflow in KNIME, download it from the below URL and open it in KNIME:
Download WorkflowDeploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.
Try NodePit Runner!Do you have feedback, questions, comments about NodePit, want to support this platform, or want your own nodes or workflows listed here as well? Do you think, the search results could be improved or something is missing? Then please get in touch! Alternatively, you can send us an email to mail@nodepit.com, follow @NodePit on Twitter or botsin.space/@nodepit on Mastodon.
Please note that this is only about NodePit. We do not provide general support for KNIME — please use the KNIME forums instead.