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mi-erasmusmc / Explore

Finding a short and accurate decision rule in disjunctive normal form by exhaustive search
https://mi-erasmusmc.github.io/Explore/
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Checks for mixed data #21

Closed AniekMarkus closed 3 months ago

AniekMarkus commented 3 months ago

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 commented 3 months ago

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 commented 3 months ago

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