Ejercicio Clase 7

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Decision Tree: binary classification of house ranking (high/low rank).

- Create target column
- Filter unnecessary columns
- Split the dataset into train and test set
- Train and apply the model
- Evaluation

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: Behind the scenes of Decision Tree https://www.youtube.com/watch?v=qB8HZpwqPEg
URL: Decision Tree https://www.youtube.com/watch?v=CSwM92yTrJw
URL: Guide to Intelligent Data Science https://www.datascienceguide.org/

Nodes

• CSV Reader1 ×
• Column Filter1 ×
• Decision Tree Learner1 ×
• Decision Tree Predictor1 ×
• Partitioning1 ×
• ROC Curve1 ×
• Rule Engine1 ×
• Scorer1 ×

Extensions

• FeatureKNIME Base nodes
• FeatureKNIME Javasnippet
• FeatureKNIME Views

Links

• No links available