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Checks for mixed data #21

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AniekMarkus opened this issue Jul 19, 2024 · 2 comments
Closed

Checks for mixed data #21

AniekMarkus opened this issue Jul 19, 2024 · 2 comments

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@AniekMarkus
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Fixes needed for term tuple 2 1 1:

Case: 2 = AND 5 > OR 5 > OR 5 <=
Candidate model: '198124209' = "FALSE" AND 'age' > 20 OR 'age' > 30 OR 'age' <= 20 X
Candidate model: '198124209' = "FALSE" AND 'age' > 20 OR 'age' > 40 OR 'age' <= 20 X
Candidate model: '198124209' = "FALSE" AND 'age' > 20 OR 'age' > 50 OR 'age' <= 20 X
Candidate model: '198124209' = "FALSE" AND 'age' > 20 OR 'age' > 60 OR 'age' <= 20 X
Candidate model: '198124209' = "FALSE" AND 'age' > 20 OR 'age' > 70 OR 'age' <= 20 X
Candidate model: '198124209' = "FALSE" AND 'age' > 20 OR 'age' > 80 OR 'age' <= 20 X
Candidate model: '198124209' = "FALSE" AND 'age' > 30 OR 'age' > 40 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' > 30 OR 'age' > 50 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' > 30 OR 'age' > 60 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' > 30 OR 'age' > 70 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' > 30 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' > 40 OR 'age' > 50 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' > 40 OR 'age' > 50 OR 'age' <= 30
Candidate model: '198124209' = "FALSE" AND 'age' > 40 OR 'age' > 60 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' > 40 OR 'age' > 60 OR 'age' <= 30
Candidate model: '198124209' = "FALSE" AND 'age' > 40 OR 'age' > 70 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' > 40 OR 'age' > 70 OR 'age' <= 30
Candidate model: '198124209' = "FALSE" AND 'age' > 40 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' > 40 OR 'age' > 80 OR 'age' <= 30
Candidate model: '198124209' = "FALSE" AND 'age' > 50 OR 'age' > 60 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' > 50 OR 'age' > 60 OR 'age' <= 30
Candidate model: '198124209' = "FALSE" AND 'age' > 50 OR 'age' > 60 OR 'age' <= 40
Candidate model: '198124209' = "FALSE" AND 'age' > 50 OR 'age' > 70 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' > 50 OR 'age' > 70 OR 'age' <= 30
Candidate model: '198124209' = "FALSE" AND 'age' > 50 OR 'age' > 70 OR 'age' <= 40
Candidate model: '198124209' = "FALSE" AND 'age' > 50 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' > 50 OR 'age' > 80 OR 'age' <= 30
Candidate model: '198124209' = "FALSE" AND 'age' > 50 OR 'age' > 80 OR 'age' <= 40
Candidate model: '198124209' = "FALSE" AND 'age' > 60 OR 'age' > 70 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' > 60 OR 'age' > 70 OR 'age' <= 30
Candidate model: '198124209' = "FALSE" AND 'age' > 60 OR 'age' > 70 OR 'age' <= 40
Candidate model: '198124209' = "FALSE" AND 'age' > 60 OR 'age' > 70 OR 'age' <= 50
Candidate model: '198124209' = "FALSE" AND 'age' > 60 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' > 60 OR 'age' > 80 OR 'age' <= 30
Candidate model: '198124209' = "FALSE" AND 'age' > 60 OR 'age' > 80 OR 'age' <= 40
Candidate model: '198124209' = "FALSE" AND 'age' > 60 OR 'age' > 80 OR 'age' <= 50
Candidate model: '198124209' = "FALSE" AND 'age' > 70 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' > 70 OR 'age' > 80 OR 'age' <= 30
Candidate model: '198124209' = "FALSE" AND 'age' > 70 OR 'age' > 80 OR 'age' <= 40
Candidate model: '198124209' = "FALSE" AND 'age' > 70 OR 'age' > 80 OR 'age' <= 50
Candidate model: '198124209' = "FALSE" AND 'age' > 70 OR 'age' > 80 OR 'age' <= 60
Candidate model: '198124209' = "TRUE" AND 'age' > 20 OR 'age' > 30 OR 'age' <= 20 X
Candidate model: '198124209' = "TRUE" AND 'age' > 20 OR 'age' > 40 OR 'age' <= 20 X
Candidate model: '198124209' = "TRUE" AND 'age' > 20 OR 'age' > 50 OR 'age' <= 20 X
Candidate model: '198124209' = "TRUE" AND 'age' > 20 OR 'age' > 60 OR 'age' <= 20 X
Candidate model: '198124209' = "TRUE" AND 'age' > 20 OR 'age' > 70 OR 'age' <= 20 X
Candidate model: '198124209' = "TRUE" AND 'age' > 20 OR 'age' > 80 OR 'age' <= 20 X
Candidate model: '198124209' = "TRUE" AND 'age' > 30 OR 'age' > 40 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' > 30 OR 'age' > 50 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' > 30 OR 'age' > 60 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' > 30 OR 'age' > 70 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' > 30 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' > 40 OR 'age' > 50 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' > 40 OR 'age' > 50 OR 'age' <= 30
Candidate model: '198124209' = "TRUE" AND 'age' > 40 OR 'age' > 60 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' > 40 OR 'age' > 60 OR 'age' <= 30
Candidate model: '198124209' = "TRUE" AND 'age' > 40 OR 'age' > 70 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' > 40 OR 'age' > 70 OR 'age' <= 30
Candidate model: '198124209' = "TRUE" AND 'age' > 40 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' > 40 OR 'age' > 80 OR 'age' <= 30
Candidate model: '198124209' = "TRUE" AND 'age' > 50 OR 'age' > 60 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' > 50 OR 'age' > 60 OR 'age' <= 30
Candidate model: '198124209' = "TRUE" AND 'age' > 50 OR 'age' > 60 OR 'age' <= 40
Candidate model: '198124209' = "TRUE" AND 'age' > 50 OR 'age' > 70 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' > 50 OR 'age' > 70 OR 'age' <= 30
Candidate model: '198124209' = "TRUE" AND 'age' > 50 OR 'age' > 70 OR 'age' <= 40
Candidate model: '198124209' = "TRUE" AND 'age' > 50 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' > 50 OR 'age' > 80 OR 'age' <= 30
Candidate model: '198124209' = "TRUE" AND 'age' > 50 OR 'age' > 80 OR 'age' <= 40
Candidate model: '198124209' = "TRUE" AND 'age' > 60 OR 'age' > 70 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' > 60 OR 'age' > 70 OR 'age' <= 30
Candidate model: '198124209' = "TRUE" AND 'age' > 60 OR 'age' > 70 OR 'age' <= 40
Candidate model: '198124209' = "TRUE" AND 'age' > 60 OR 'age' > 70 OR 'age' <= 50
Candidate model: '198124209' = "TRUE" AND 'age' > 60 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' > 60 OR 'age' > 80 OR 'age' <= 30
Candidate model: '198124209' = "TRUE" AND 'age' > 60 OR 'age' > 80 OR 'age' <= 40
Candidate model: '198124209' = "TRUE" AND 'age' > 60 OR 'age' > 80 OR 'age' <= 50
Candidate model: '198124209' = "TRUE" AND 'age' > 70 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' > 70 OR 'age' > 80 OR 'age' <= 30
Candidate model: '198124209' = "TRUE" AND 'age' > 70 OR 'age' > 80 OR 'age' <= 40
Candidate model: '198124209' = "TRUE" AND 'age' > 70 OR 'age' > 80 OR 'age' <= 50
Candidate model: '198124209' = "TRUE" AND 'age' > 70 OR 'age' > 80 OR 'age' <= 60
Cutoff sets: 82 -> Should be 70?

Case: 2 = AND 5 <= OR 5 > OR 5 <=
Candidate model: '198124209' = "FALSE" AND 'age' <= 20 OR 'age' > 30 OR 'age' <= 20 X
Candidate model: '198124209' = "FALSE" AND 'age' <= 20 OR 'age' > 40 OR 'age' <= 20 X
Candidate model: '198124209' = "FALSE" AND 'age' <= 20 OR 'age' > 50 OR 'age' <= 20 X
Candidate model: '198124209' = "FALSE" AND 'age' <= 20 OR 'age' > 60 OR 'age' <= 20 X
Candidate model: '198124209' = "FALSE" AND 'age' <= 20 OR 'age' > 70 OR 'age' <= 20 X
Candidate model: '198124209' = "FALSE" AND 'age' <= 20 OR 'age' > 80 OR 'age' <= 20 X
Candidate model: '198124209' = "FALSE" AND 'age' <= 30 OR 'age' > 40 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' <= 30 OR 'age' > 50 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' <= 30 OR 'age' > 60 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' <= 30 OR 'age' > 70 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' <= 30 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' <= 40 OR 'age' > 50 OR 'age' <= 20 -> also increment last term to 30?
Candidate model: '198124209' = "FALSE" AND 'age' <= 40 OR 'age' > 60 OR 'age' <= 20 -> idem
Candidate model: '198124209' = "FALSE" AND 'age' <= 40 OR 'age' > 70 OR 'age' <= 20 -> idem
Candidate model: '198124209' = "FALSE" AND 'age' <= 40 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' <= 50 OR 'age' > 60 OR 'age' <= 20 -> also increment last term to 40?
Candidate model: '198124209' = "FALSE" AND 'age' <= 50 OR 'age' > 70 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' <= 50 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' <= 60 OR 'age' > 70 OR 'age' <= 20 -> also increment last term to 50?
Candidate model: '198124209' = "FALSE" AND 'age' <= 60 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' <= 70 OR 'age' > 80 OR 'age' <= 20 -> also increment last term to 60?
Candidate model: '198124209' = "FALSE" AND 'age' <= 80 OR 'age' > 30 OR 'age' <= 20 -> also increment last term to 70?
Candidate model: '198124209' = "TRUE" AND 'age' <= 30 OR 'age' > 40 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 30 OR 'age' > 50 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 30 OR 'age' > 60 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 30 OR 'age' > 70 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 30 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 40 OR 'age' > 50 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 40 OR 'age' > 60 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 40 OR 'age' > 70 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 40 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 50 OR 'age' > 60 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 50 OR 'age' > 70 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 50 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 60 OR 'age' > 70 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 60 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 70 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 80 OR 'age' > 30 OR 'age' <= 20
Cutoff sets: 38 -> Should be 70?
AniekMarkus added a commit that referenced this issue Jul 19, 2024
@AniekMarkus
Update identifying RepeatedFeature and allow both NonSoloIncluded and…
7978933 
… RepeatedFeature at the same time #21
@AniekMarkus
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AniekMarkus commented Jul 19, 2024 •
edited
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After updates in commit above:

CORRECT: 2 = AND 5 > OR 5 > OR 5 <=
Candidate model: '198124209' = "FALSE" AND 'age' > 30 OR 'age' > 40 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' > 30 OR 'age' > 50 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' > 30 OR 'age' > 60 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' > 30 OR 'age' > 70 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' > 30 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' > 40 OR 'age' > 50 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' > 40 OR 'age' > 50 OR 'age' <= 30
Candidate model: '198124209' = "FALSE" AND 'age' > 40 OR 'age' > 60 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' > 40 OR 'age' > 60 OR 'age' <= 30
Candidate model: '198124209' = "FALSE" AND 'age' > 40 OR 'age' > 70 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' > 40 OR 'age' > 70 OR 'age' <= 30
Candidate model: '198124209' = "FALSE" AND 'age' > 40 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' > 40 OR 'age' > 80 OR 'age' <= 30
Candidate model: '198124209' = "FALSE" AND 'age' > 50 OR 'age' > 60 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' > 50 OR 'age' > 60 OR 'age' <= 30
Candidate model: '198124209' = "FALSE" AND 'age' > 50 OR 'age' > 60 OR 'age' <= 40
Candidate model: '198124209' = "FALSE" AND 'age' > 50 OR 'age' > 70 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' > 50 OR 'age' > 70 OR 'age' <= 30
Candidate model: '198124209' = "FALSE" AND 'age' > 50 OR 'age' > 70 OR 'age' <= 40
Candidate model: '198124209' = "FALSE" AND 'age' > 50 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' > 50 OR 'age' > 80 OR 'age' <= 30
Candidate model: '198124209' = "FALSE" AND 'age' > 50 OR 'age' > 80 OR 'age' <= 40
Candidate model: '198124209' = "FALSE" AND 'age' > 60 OR 'age' > 70 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' > 60 OR 'age' > 70 OR 'age' <= 30
Candidate model: '198124209' = "FALSE" AND 'age' > 60 OR 'age' > 70 OR 'age' <= 40
Candidate model: '198124209' = "FALSE" AND 'age' > 60 OR 'age' > 70 OR 'age' <= 50
Candidate model: '198124209' = "FALSE" AND 'age' > 60 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' > 60 OR 'age' > 80 OR 'age' <= 30
Candidate model: '198124209' = "FALSE" AND 'age' > 60 OR 'age' > 80 OR 'age' <= 40
Candidate model: '198124209' = "FALSE" AND 'age' > 60 OR 'age' > 80 OR 'age' <= 50
Candidate model: '198124209' = "FALSE" AND 'age' > 70 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' > 70 OR 'age' > 80 OR 'age' <= 30
Candidate model: '198124209' = "FALSE" AND 'age' > 70 OR 'age' > 80 OR 'age' <= 40
Candidate model: '198124209' = "FALSE" AND 'age' > 70 OR 'age' > 80 OR 'age' <= 50
Candidate model: '198124209' = "FALSE" AND 'age' > 70 OR 'age' > 80 OR 'age' <= 60
Candidate model: '198124209' = "TRUE" AND 'age' > 30 OR 'age' > 40 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' > 30 OR 'age' > 50 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' > 30 OR 'age' > 60 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' > 30 OR 'age' > 70 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' > 30 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' > 40 OR 'age' > 50 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' > 40 OR 'age' > 50 OR 'age' <= 30
Candidate model: '198124209' = "TRUE" AND 'age' > 40 OR 'age' > 60 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' > 40 OR 'age' > 60 OR 'age' <= 30
Candidate model: '198124209' = "TRUE" AND 'age' > 40 OR 'age' > 70 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' > 40 OR 'age' > 70 OR 'age' <= 30
Candidate model: '198124209' = "TRUE" AND 'age' > 40 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' > 40 OR 'age' > 80 OR 'age' <= 30
Candidate model: '198124209' = "TRUE" AND 'age' > 50 OR 'age' > 60 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' > 50 OR 'age' > 60 OR 'age' <= 30
Candidate model: '198124209' = "TRUE" AND 'age' > 50 OR 'age' > 60 OR 'age' <= 40
Candidate model: '198124209' = "TRUE" AND 'age' > 50 OR 'age' > 70 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' > 50 OR 'age' > 70 OR 'age' <= 30
Candidate model: '198124209' = "TRUE" AND 'age' > 50 OR 'age' > 70 OR 'age' <= 40
Candidate model: '198124209' = "TRUE" AND 'age' > 50 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' > 50 OR 'age' > 80 OR 'age' <= 30
Candidate model: '198124209' = "TRUE" AND 'age' > 50 OR 'age' > 80 OR 'age' <= 40
Candidate model: '198124209' = "TRUE" AND 'age' > 60 OR 'age' > 70 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' > 60 OR 'age' > 70 OR 'age' <= 30
Candidate model: '198124209' = "TRUE" AND 'age' > 60 OR 'age' > 70 OR 'age' <= 40
Candidate model: '198124209' = "TRUE" AND 'age' > 60 OR 'age' > 70 OR 'age' <= 50
Candidate model: '198124209' = "TRUE" AND 'age' > 60 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' > 60 OR 'age' > 80 OR 'age' <= 30
Candidate model: '198124209' = "TRUE" AND 'age' > 60 OR 'age' > 80 OR 'age' <= 40
Candidate model: '198124209' = "TRUE" AND 'age' > 60 OR 'age' > 80 OR 'age' <= 50
Candidate model: '198124209' = "TRUE" AND 'age' > 70 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' > 70 OR 'age' > 80 OR 'age' <= 30
Candidate model: '198124209' = "TRUE" AND 'age' > 70 OR 'age' > 80 OR 'age' <= 40
Candidate model: '198124209' = "TRUE" AND 'age' > 70 OR 'age' > 80 OR 'age' <= 50
Candidate model: '198124209' = "TRUE" AND 'age' > 70 OR 'age' > 80 OR 'age' <= 60
Cutoff sets: 70

STILL INCORRECT: 2 = AND 5 <= OR 5 > OR 5 <=
Candidate model: '198124209' = "FALSE" AND 'age' <= 30 OR 'age' > 40 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' <= 30 OR 'age' > 50 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' <= 30 OR 'age' > 60 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' <= 30 OR 'age' > 70 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' <= 30 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' <= 40 OR 'age' > 50 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' <= 40 OR 'age' > 60 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' <= 40 OR 'age' > 70 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' <= 40 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' <= 50 OR 'age' > 60 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' <= 50 OR 'age' > 70 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' <= 50 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' <= 60 OR 'age' > 70 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' <= 60 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' <= 70 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' <= 80 OR 'age' > 30 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 30 OR 'age' > 40 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 30 OR 'age' > 50 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 30 OR 'age' > 60 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 30 OR 'age' > 70 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 30 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 40 OR 'age' > 50 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 40 OR 'age' > 60 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 40 OR 'age' > 70 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 40 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 50 OR 'age' > 60 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 50 OR 'age' > 70 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 50 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 60 OR 'age' > 70 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 60 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 70 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 80 OR 'age' > 30 OR 'age' <= 20
Cutoff sets: 32

2 = AND 5 <= OR 5 > OR 5 <=
Candidate model: '198124209' = "FALSE" AND 'age' <= 30 OR 'age' > 40 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' <= 30 OR 'age' > 50 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' <= 30 OR 'age' > 60 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' <= 30 OR 'age' > 70 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' <= 30 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' <= 40 OR 'age' > 50 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' <= 40 OR 'age' > 50 OR 'age' <= 30
Candidate model: '198124209' = "FALSE" AND 'age' <= 40 OR 'age' > 60 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' <= 40 OR 'age' > 60 OR 'age' <= 30
Candidate model: '198124209' = "FALSE" AND 'age' <= 40 OR 'age' > 70 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' <= 40 OR 'age' > 70 OR 'age' <= 30
Candidate model: '198124209' = "FALSE" AND 'age' <= 40 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' <= 40 OR 'age' > 80 OR 'age' <= 30
Candidate model: '198124209' = "FALSE" AND 'age' <= 50 OR 'age' > 60 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' <= 50 OR 'age' > 60 OR 'age' <= 30
Candidate model: '198124209' = "FALSE" AND 'age' <= 50 OR 'age' > 60 OR 'age' <= 40
Candidate model: '198124209' = "FALSE" AND 'age' <= 50 OR 'age' > 70 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' <= 50 OR 'age' > 70 OR 'age' <= 30
Candidate model: '198124209' = "FALSE" AND 'age' <= 50 OR 'age' > 70 OR 'age' <= 40
Candidate model: '198124209' = "FALSE" AND 'age' <= 50 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' <= 50 OR 'age' > 80 OR 'age' <= 30
Candidate model: '198124209' = "FALSE" AND 'age' <= 50 OR 'age' > 80 OR 'age' <= 40
Candidate model: '198124209' = "FALSE" AND 'age' <= 60 OR 'age' > 70 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' <= 60 OR 'age' > 70 OR 'age' <= 30
Candidate model: '198124209' = "FALSE" AND 'age' <= 60 OR 'age' > 70 OR 'age' <= 40
Candidate model: '198124209' = "FALSE" AND 'age' <= 60 OR 'age' > 70 OR 'age' <= 50
Candidate model: '198124209' = "FALSE" AND 'age' <= 60 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' <= 60 OR 'age' > 80 OR 'age' <= 30
Candidate model: '198124209' = "FALSE" AND 'age' <= 60 OR 'age' > 80 OR 'age' <= 40
Candidate model: '198124209' = "FALSE" AND 'age' <= 60 OR 'age' > 80 OR 'age' <= 50
Candidate model: '198124209' = "FALSE" AND 'age' <= 70 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' <= 70 OR 'age' > 80 OR 'age' <= 30
Candidate model: '198124209' = "FALSE" AND 'age' <= 70 OR 'age' > 80 OR 'age' <= 40
Candidate model: '198124209' = "FALSE" AND 'age' <= 70 OR 'age' > 80 OR 'age' <= 50
Candidate model: '198124209' = "FALSE" AND 'age' <= 70 OR 'age' > 80 OR 'age' <= 60
Candidate model: '198124209' = "FALSE" AND 'age' <= 80 OR 'age' > 30 OR 'age' <= 20 ???
Candidate model: '198124209' = "TRUE" AND 'age' <= 30 OR 'age' > 40 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 30 OR 'age' > 50 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 30 OR 'age' > 60 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 30 OR 'age' > 70 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 30 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 40 OR 'age' > 50 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 40 OR 'age' > 50 OR 'age' <= 30
Candidate model: '198124209' = "TRUE" AND 'age' <= 40 OR 'age' > 60 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 40 OR 'age' > 60 OR 'age' <= 30
Candidate model: '198124209' = "TRUE" AND 'age' <= 40 OR 'age' > 70 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 40 OR 'age' > 70 OR 'age' <= 30
Candidate model: '198124209' = "TRUE" AND 'age' <= 40 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 40 OR 'age' > 80 OR 'age' <= 30
Candidate model: '198124209' = "TRUE" AND 'age' <= 50 OR 'age' > 60 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 50 OR 'age' > 60 OR 'age' <= 30
Candidate model: '198124209' = "TRUE" AND 'age' <= 50 OR 'age' > 60 OR 'age' <= 40
Candidate model: '198124209' = "TRUE" AND 'age' <= 50 OR 'age' > 70 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 50 OR 'age' > 70 OR 'age' <= 30
Candidate model: '198124209' = "TRUE" AND 'age' <= 50 OR 'age' > 70 OR 'age' <= 40
Candidate model: '198124209' = "TRUE" AND 'age' <= 50 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 50 OR 'age' > 80 OR 'age' <= 30
Candidate model: '198124209' = "TRUE" AND 'age' <= 50 OR 'age' > 80 OR 'age' <= 40
Candidate model: '198124209' = "TRUE" AND 'age' <= 60 OR 'age' > 70 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 60 OR 'age' > 70 OR 'age' <= 30
Candidate model: '198124209' = "TRUE" AND 'age' <= 60 OR 'age' > 70 OR 'age' <= 40
Candidate model: '198124209' = "TRUE" AND 'age' <= 60 OR 'age' > 70 OR 'age' <= 50
Candidate model: '198124209' = "TRUE" AND 'age' <= 60 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 60 OR 'age' > 80 OR 'age' <= 30
Candidate model: '198124209' = "TRUE" AND 'age' <= 60 OR 'age' > 80 OR 'age' <= 40
Candidate model: '198124209' = "TRUE" AND 'age' <= 60 OR 'age' > 80 OR 'age' <= 50
Candidate model: '198124209' = "TRUE" AND 'age' <= 70 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 70 OR 'age' > 80 OR 'age' <= 30
Candidate model: '198124209' = "TRUE" AND 'age' <= 70 OR 'age' > 80 OR 'age' <= 40
Candidate model: '198124209' = "TRUE" AND 'age' <= 70 OR 'age' > 80 OR 'age' <= 50
Candidate model: '198124209' = "TRUE" AND 'age' <= 70 OR 'age' > 80 OR 'age' <= 60
Candidate model: '198124209' = "TRUE" AND 'age' <= 80 OR 'age' > 30 OR 'age' <= 20 ???
Cutoff sets: 72

AniekMarkus added a commit that referenced this issue Jul 22, 2024
@AniekMarkus
Restrict MinCutoff to specific range of index, Maxcutoff-- per operator
d74f419 
#21
@AniekMarkus
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NOW CORRECT: 2 = AND 5 <= OR 5 > OR 5 <=
Candidate model: '198124209' = "FALSE" AND 'age' <= 30 OR 'age' > 40 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' <= 30 OR 'age' > 50 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' <= 30 OR 'age' > 60 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' <= 30 OR 'age' > 70 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' <= 30 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' <= 40 OR 'age' > 50 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' <= 40 OR 'age' > 50 OR 'age' <= 30
Candidate model: '198124209' = "FALSE" AND 'age' <= 40 OR 'age' > 60 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' <= 40 OR 'age' > 60 OR 'age' <= 30
Candidate model: '198124209' = "FALSE" AND 'age' <= 40 OR 'age' > 70 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' <= 40 OR 'age' > 70 OR 'age' <= 30
Candidate model: '198124209' = "FALSE" AND 'age' <= 40 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' <= 40 OR 'age' > 80 OR 'age' <= 30
Candidate model: '198124209' = "FALSE" AND 'age' <= 50 OR 'age' > 60 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' <= 50 OR 'age' > 60 OR 'age' <= 30
Candidate model: '198124209' = "FALSE" AND 'age' <= 50 OR 'age' > 60 OR 'age' <= 40
Candidate model: '198124209' = "FALSE" AND 'age' <= 50 OR 'age' > 70 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' <= 50 OR 'age' > 70 OR 'age' <= 30
Candidate model: '198124209' = "FALSE" AND 'age' <= 50 OR 'age' > 70 OR 'age' <= 40
Candidate model: '198124209' = "FALSE" AND 'age' <= 50 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' <= 50 OR 'age' > 80 OR 'age' <= 30
Candidate model: '198124209' = "FALSE" AND 'age' <= 50 OR 'age' > 80 OR 'age' <= 40
Candidate model: '198124209' = "FALSE" AND 'age' <= 60 OR 'age' > 70 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' <= 60 OR 'age' > 70 OR 'age' <= 30
Candidate model: '198124209' = "FALSE" AND 'age' <= 60 OR 'age' > 70 OR 'age' <= 40
Candidate model: '198124209' = "FALSE" AND 'age' <= 60 OR 'age' > 70 OR 'age' <= 50
Candidate model: '198124209' = "FALSE" AND 'age' <= 60 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' <= 60 OR 'age' > 80 OR 'age' <= 30
Candidate model: '198124209' = "FALSE" AND 'age' <= 60 OR 'age' > 80 OR 'age' <= 40
Candidate model: '198124209' = "FALSE" AND 'age' <= 60 OR 'age' > 80 OR 'age' <= 50
Candidate model: '198124209' = "FALSE" AND 'age' <= 70 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "FALSE" AND 'age' <= 70 OR 'age' > 80 OR 'age' <= 30
Candidate model: '198124209' = "FALSE" AND 'age' <= 70 OR 'age' > 80 OR 'age' <= 40
Candidate model: '198124209' = "FALSE" AND 'age' <= 70 OR 'age' > 80 OR 'age' <= 50
Candidate model: '198124209' = "FALSE" AND 'age' <= 70 OR 'age' > 80 OR 'age' <= 60
Candidate model: '198124209' = "TRUE" AND 'age' <= 30 OR 'age' > 40 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 30 OR 'age' > 50 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 30 OR 'age' > 60 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 30 OR 'age' > 70 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 30 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 40 OR 'age' > 50 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 40 OR 'age' > 50 OR 'age' <= 30
Candidate model: '198124209' = "TRUE" AND 'age' <= 40 OR 'age' > 60 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 40 OR 'age' > 60 OR 'age' <= 30
Candidate model: '198124209' = "TRUE" AND 'age' <= 40 OR 'age' > 70 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 40 OR 'age' > 70 OR 'age' <= 30
Candidate model: '198124209' = "TRUE" AND 'age' <= 40 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 40 OR 'age' > 80 OR 'age' <= 30
Candidate model: '198124209' = "TRUE" AND 'age' <= 50 OR 'age' > 60 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 50 OR 'age' > 60 OR 'age' <= 30
Candidate model: '198124209' = "TRUE" AND 'age' <= 50 OR 'age' > 60 OR 'age' <= 40
Candidate model: '198124209' = "TRUE" AND 'age' <= 50 OR 'age' > 70 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 50 OR 'age' > 70 OR 'age' <= 30
Candidate model: '198124209' = "TRUE" AND 'age' <= 50 OR 'age' > 70 OR 'age' <= 40
Candidate model: '198124209' = "TRUE" AND 'age' <= 50 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 50 OR 'age' > 80 OR 'age' <= 30
Candidate model: '198124209' = "TRUE" AND 'age' <= 50 OR 'age' > 80 OR 'age' <= 40
Candidate model: '198124209' = "TRUE" AND 'age' <= 60 OR 'age' > 70 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 60 OR 'age' > 70 OR 'age' <= 30
Candidate model: '198124209' = "TRUE" AND 'age' <= 60 OR 'age' > 70 OR 'age' <= 40
Candidate model: '198124209' = "TRUE" AND 'age' <= 60 OR 'age' > 70 OR 'age' <= 50
Candidate model: '198124209' = "TRUE" AND 'age' <= 60 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 60 OR 'age' > 80 OR 'age' <= 30
Candidate model: '198124209' = "TRUE" AND 'age' <= 60 OR 'age' > 80 OR 'age' <= 40
Candidate model: '198124209' = "TRUE" AND 'age' <= 60 OR 'age' > 80 OR 'age' <= 50
Candidate model: '198124209' = "TRUE" AND 'age' <= 70 OR 'age' > 80 OR 'age' <= 20
Candidate model: '198124209' = "TRUE" AND 'age' <= 70 OR 'age' > 80 OR 'age' <= 30
Candidate model: '198124209' = "TRUE" AND 'age' <= 70 OR 'age' > 80 OR 'age' <= 40
Candidate model: '198124209' = "TRUE" AND 'age' <= 70 OR 'age' > 80 OR 'age' <= 50
Candidate model: '198124209' = "TRUE" AND 'age' <= 70 OR 'age' > 80 OR 'age' <= 60
Cutoff sets: 70

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@AniekMarkus