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ClassificationIntermediateDecision Tree

EXP8: Decision Tree Classification

Builds a decision tree to classify breast cancer samples.

Key highlights

  • Trains/test split with accuracy
  • Exports human-readable tree rules
  • Predicts a new sample

Metrics

AccuracyTree rules

Dataset

Breast Cancer

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Outputs

Decision tree summary
Rules snapshot for classification

Full Python Code

The complete Python script directly from the repository.

Python
dt_classifier = DecisionTreeClassifier(random_state=42)
dt_classifier.fit(X_train, y_train)
print(export_text(dt_classifier))

Next steps

Want to explore further? Try the full gallery or open the raw script to tweak parameters.

Back to galleryOpen code on GitHub