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Logistic Regression

Logistic regression Classification Education GIDS Exercise
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Logistic Regression: predict wine color. - Normalize numerical columns - Partition the dataset into train and test set - Train a Logistic Regression model - Apply the model to the test set - Evaluate the model performance

External resources

  • Guide to Intelligent Data Science
  • Logistic Regression Learner Node: Output Values and Memory Handling
  • Logistic Regression Learner Node: Algorithm Settings
  • Behind the Scenes of Logistic Regression with KNIME

Used extensions & nodes

Created with KNIME Analytics Platform version 4.3.0
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    KNIME Base nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.3.0

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