In this challenge you will take the role of a clinician and check if machine learning can help you predict diabetes. You should create a solution that beats a baseline accuracy of 65%, and also works very well for both classes (having diabetes vs not having diabetes). We got an accuracy of 77% with a minimal workflow. If you'd like to take this challenge from easy to medium, try implementing:
sampling techniques
feature importance calculation
Workflow
Dealing with Diabetes
External resources
Used extensions & nodes
Created with KNIME Analytics Platform version 5.1.0
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