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Dealing with Diabetes

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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

URL: Just KNIME It! https://www.knime.com/just-knime-it

csvoutcome7030accuracy 0.77accuracy 0.75CSV Reader Number To String Partitioning SMOTE Random ForestLearner Random ForestPredictor Scorer Gradient BoostedTrees Learner Gradient BoostedTrees Predictor Scorer csvoutcome7030accuracy 0.77accuracy 0.75CSV Reader Number To String Partitioning SMOTE Random ForestLearner Random ForestPredictor Scorer Gradient BoostedTrees Learner Gradient BoostedTrees Predictor Scorer

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Created by: th
Created at: 2023-08-02
On NodePit since: 2023-08-03
Last update: 2024-05-01
Created with KNIME version: v5.1.0
Tags: JKISeason2-19JKISeason2

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