/docs/reference/rst/code/rules-cn2.py

https://bitbucket.org/tadej_janez/orange-distribute · Python · 20 lines · 7 code · 4 blank · 9 comment · 1 complexity · 4700f1f431926d478eef4d078634e443 MD5 · raw file 

    

  1. # Description: CN2 Rule Induction on Titanic dataset
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  2. # Category:    classification
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  3. # Uses:        titanic
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  4. # Referenced:  Orange.classification.rules
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  5. # Classes:     Orange.classification.rules.CN2Learner
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  6. 

  7. import Orange
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  8. # Read some data
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  9. table = Orange.data.Table("titanic")
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  10. 

  11. # construct the learning algorithm and use it to induce a classifier
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  12. cn2_learner = Orange.classification.rules.CN2Learner()
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  13. cn2_clasifier = cn2_learner(table)
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  14. 

  15. # ... or, in a single step.
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  16. cn2_classifier = Orange.classification.rules.CN2Learner(table)
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  17. 

  18. # All rule-base classifiers can have their rules printed out like this:
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  19. for r in cn2_classifier.rules:
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  20.     print Orange.classification.rules.rule_to_string(r)
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