Final Exercise

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Decision Tree - exercise

Introduction to Machine Learning Algorithms course - Session 1
Exercise 1
- Partition data into training and test set
- Train a decision rree model
- Apply the model to the test set
- Evaluate the model performance

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: Decision Tree https://www.youtube.com/watch?v=CSwM92yTrJw
URL: Behind the scenes of Decision Tree https://www.youtube.com/watch?v=qB8HZpwqPEg
URL: Slides (Introduction to ML Algorithms course) https://www.knime.com/form/material-download-registration

Nodes

• Decision Tree Learner2 ×
• Decision Tree Predictor2 ×
• Scorer2 ×
• Binary Classification Inspector1 ×
• CSV Reader1 ×
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Extensions

• FeatureKNIME Base nodes
• FeatureKNIME Ensemble Learning Wrappers
• FeatureKNIME Javasnippet
• FeatureKNIME Machine Learning Interpretability Extension
• FeatureKNIME Optimization extension
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