Orange: Data Mining Toolbox in Python

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1. >>> import Orange
   
2. >>> data = Orange.data.Table("titanic")
   
3. >>> len(data)
   
4. 2201
   
5. >>> nbc = Orange.classification.bayes.NaiveLearner()
   
6. >>> svm = Orange.classification.svm.SVMLearner()
   
7. >>> stack = Orange.ensemble.stacking.StackedClassificationLearner([nbc,svm])
   
8. >>> res = Orange.evaluation.testing.cross_validation([nbc, svm, stack], data)
   
9. >>> Orange.evaluation.scoring.AUC(res)

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Orange-Data Mining Toolbox in Python.pdf (61.92 KB)

2016-7-18 05:08:30 上传

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关键词：Data Mining toolbox Orange python range import

1. >>> data = Orange.data.Table("promoters")
   
2. >>> len(data), len(data.domain.features)
   
3. >>> bayes = Orange.classification.bayes.NaiveLearner()
   
4. >>> res = Orange.evaluation.testing.cross_validation([bayes, FSSLearner(bayes)], data)
   
5. >>> Orange.evaluation.scoring.AUC(res)
   
6. [0.9329999999999998, 0.945]

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