JKISeason2-19_​sryu

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Challenge 19: Dealing with Diabetes
Level: Easy or Medium

Description: 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:

Nodes

• Column Filter135 ×
• Rule Engine Variable94 ×
• Column Rename89 ×
• Component Input87 ×
• Component Output87 ×
• Show all 141 nodes

Extensions

• FeatureKNIME Base nodes
• FeatureKNIME Data Generation
• FeatureKNIME Deep Learning - Keras Integration
• FeatureKNIME Ensemble Learning Wrappers
• FeatureKNIME H2O Machine Learning Integration
• FeatureKNIME Integrated Deployment
• FeatureKNIME JavaScript Views
• FeatureKNIME JavaScript Views (Labs)
• FeatureKNIME Javasnippet
• FeatureKNIME Machine Learning Interpretability Extension
• FeatureKNIME Math Expression (JEP)
• FeatureKNIME Optimization extension
• FeatureKNIME PMML Preprocessing Applier Nodes
• FeatureKNIME Quick Forms
• FeatureKNIME XGBoost Integration

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