Logistic Regression: predict wine color.
- Normalize numerical columns
- Partition the dataset into train and test set
- Train a Logistic Regression model
- Apply the model to the test set
- Evaluate the model performance
URL: Behind the Scenes of Logistic Regression with KNIME https://youtu.be/-3y_o8j1pBA
URL: Logistic Regression Learner Node: Algorithm Settings https://youtu.be/AclQdjxpGA0
URL: Logistic Regression Learner Node: Output Values and Memory Handling https://youtu.be/ywPvpgFF2i4
URL: Guide to Intelligent Data Science https://www.datascienceguide.org/
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.