02_​Logistic_​Regression

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Logistic Regression - exercise

Introduction to Machine Learning Algorithms course - Session 2
Exercise 4
- Train a logistic regression model
- Apply the model to the test set
- Evaluate the model performance with the Scorer node

URL: Logistic Regression https://www.knime.com/knime-introductory-course/chapter6/section2/logistic-regression
URL: Regularization for Logistic Regression: L1, L2, Gauss or Laplace? https://www.knime.com/blog/regularization-for-logistic-regression-l1-l2-gauss-or-laplace
URL: Description of the Ames Iowa Housing Data https://rdrr.io/cran/AmesHousing/man/ames_raw.html
URL: Ames Housing Dataset on kaggle https://www.kaggle.com/prevek18/ames-housing-dataset
URL: Slides (Introduction to ML Algorithms course) https://www.knime.com/form/material-download-registration

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• Normalizer3 ×
• Reference Column Filter3 ×
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• Column Auto Type Cast2 ×
• Missing Value2 ×
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• FeatureKNIME Base nodes
• FeatureKNIME Javasnippet
• FeatureKNIME Statistics Nodes

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