Hi everyone,
I’ve put together a step-by-step video tutorial on how to implement Logistic Regression in KNIME, specifically using the classic Titanic dataset. In this video,
I cover:
Data preprocessing
Configuring the Logistic Regression Learner & Predictor nodes
Evaluating model performance (Scorer node)
Watch the full tutorial here: https://www.youtube.com/watch?v=wKMYS3XTZrg
logistic_regression.knwf (68.2 KB)
I hope this helps anyone transitioning into machine learning with KNIME!
Let me know if you have any questions or if you configure your nodes differently.