05_​Feature_​Selection_​solution

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Feature Selection - solution

Introduction to Machine Learning Algorithms course - Session 4
Solution to exercise 5
- Combine previously splitted training and test set
- Search for the most important columns for classification using a feature selection loop

URL: Ames Housing Dataset on kaggle https://www.kaggle.com/prevek18/ames-housing-dataset
URL: Description of the Ames Iowa Housing Data https://rdrr.io/cran/AmesHousing/man/ames_raw.html
URL: Seven Techniques for Data Dimensionality Reduction https://www.knime.com/blog/seven-techniques-for-data-dimensionality-reduction
URL: Slides (Introduction to ML Algorithms course) https://www.knime.com/form/material-download-registration

Nodes

• Normalizer4 ×
• Reference Column Filter4 ×
• Rule-based Row Filter4 ×
• Normalizer (Apply)3 ×
• Rule Engine3 ×
• Show all 30 nodes

Extensions

• FeatureKNIME Base nodes
• FeatureKNIME Distance Matrix
• FeatureKNIME Javasnippet
• FeatureKNIME Statistics Nodes

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