Framework for Subgroup Discovery and Discriminaton Detection in datasets.
License: MIT License
Framework for Subgroup Discovery, Discriminaton Detection and Exceptional Model Mining in datasets written in Python.
Implement one method that given QualityMeasure.Sensitivity (Defined enum) and a subgroup (Dataframe), returns the Sensitivity
Once all the quality measures has been defined, try to automatize the search of subgroups by implementing the beam search to Subgroup Discovery. Until then, define subgroups manually
Implement one method that given a subgroup with two attributes and one label (Dataframe), returns the elift
Implement one method that given QualityMeasure.ChiSquare (Defined enum) and a subgroup (Dataframe), returns the Chi-Square
Implement one method that given QualityMeasure.Specificity (Defined enum) and a subgroup (Dataframe), returns the Specificity
Implement one method that given QualityMeasure.WRA (Defined enum) and a subgroup (Dataframe), returns the WRA
Use elift measure instead of a QualityMeasure to detect features that are highly d
ad of a QualityMeasure to detect features that are highly discriminating
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