03_​Random_​Forests_​Solution

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Random Forest - exercise

Introduction to Machine Learning Algorithms course - Session 2
Exercise 3
- Train a Random Forest model
- Apply the model to the test set
- Evaluate the model performance with the Scorer node
- Perform parameter optimization

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: Random Forest https://www.youtube.com/watch?v=X4H7w6LDgYM
URL: Slides (Introduction to ML Algorithms course) https://www.knime.com/form/material-download-registration

Nodes

• Normalizer3 ×
• Reference Column Filter3 ×
• Rule Engine3 ×
• Column Auto Type Cast2 ×
• Missing Value2 ×
• Show all 23 nodes

Extensions

• FeatureKNIME Base nodes
• FeatureKNIME Ensemble Learning Wrappers
• FeatureKNIME Javasnippet
• FeatureKNIME Optimization extension
• FeatureKNIME Statistics Nodes

Links

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