Icon

JKISeason2-19

JKISeason2-19

Challenge 19: Dealing with Diabetes

Challenge 19: Dealing with DiabetesDescription: 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 solutionthat 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: diabetes.csvstratifiedsamplingall featuresexcept SkinThicknessall featuresaccuracy = 75.32%accuracy = 79.22%all featuresaccuracy = 78.78%minimum feature = SkinThickness CSV Reader Partitioning Random ForestLearner Random ForestPredictor XGBoost TreeEnsemble Learner XGBoost Predictor Scorer Scorer Random ForestLearner Random ForestPredictor Scorer Top k Selector Challenge 19: Dealing with DiabetesDescription: 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 solutionthat 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: diabetes.csvstratifiedsamplingall featuresexcept SkinThicknessall featuresaccuracy = 75.32%accuracy = 79.22%all featuresaccuracy = 78.78%minimum feature = SkinThickness CSV Reader Partitioning Random ForestLearner Random ForestPredictor XGBoost TreeEnsemble Learner XGBoost Predictor Scorer Scorer Random ForestLearner Random ForestPredictor Scorer Top k Selector

Nodes

Extensions

Links

Download

To use this workflow in KNIME, download it from the below URL and open it in KNIME:

Download Workflow
Created by: yilmaer
Created at: 2023-08-03
On NodePit since: 2023-08-04
Last update: 2024-11-23
Created with KNIME version: v4.7.2
Tags: JKISeason2-19

Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.

Try NodePit Runner!