This workflow is an example of how to train a basic machine learning model for a diabetes prediction task, using a Gradient Boosted algorithm.
Notice the three basic data prep steps: missing value imputation, type conversion, and outlier.
Workflow
Diabetes Prediction - Training - Gradient Boosted
Used extensions & nodes
Created with KNIME Analytics Platform version 4.7.0
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KNIME R Scripting extension
Max Planck Institute of Molecular Cell Biology and Genetics (MPI-CBG), Dresden, Germany
Version 4.3.0
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