54455
4221
{"search_strategy":"beam","use_nominal_sets":"false","post_processing_count":"20","maximum_coverage_fraction":"1.0","numeric_operators":"<html>≤, ≥, =<\/html>","overall_ranking_loss":"0.0","post_processing_do_autorun":"true","search_depth":"4","search_strategy_width":"4","nr_threads":"1","alpha":"0.5","beam_seed":"","maximum_subgroups":"100","maximum_time":"1.0","minimum_coverage":"2","nr_bins":"32","numeric_strategy":"best-bins","beta":"1.0"}
search_strategy
beam
4221
use_nominal_sets
false
4221
post_processing_count
20
4221
maximum_coverage_fraction
1.0
4221
numeric_operators
<html>≤, ≥, =</html>
4221
overall_ranking_loss
0.0
4221
post_processing_do_autorun
true
4221
search_depth
4
4221
search_strategy_width
4
4221
nr_threads
1
4221
alpha
0.5
4221
beam_seed
4221
maximum_subgroups
100
4221
maximum_time
1.0
4221
minimum_coverage
2
4221
nr_bins
32
4221
numeric_strategy
best-bins
4221
beta
1.0
4221
Cortana
coverage
openml.evaluation.coverage(1.0)
302
[302, 165, 408, 69, 116, 35, 83, 22, 12, 25, 31, 39, 16, 28, 46, 6, 112, 55, 32, 15, 58, 17, 35, 35, 36, 95, 13, 19, 8, 137, 20, 20, 62, 80, 4, 51, 16, 63, 35, 82, 6, 6, 6, 6, 48, 7, 7, 7, 7, 13, 19, 31, 37, 37, 2, 26, 32, 3, 3, 9, 15, 33, 10, 11, 11, 29, 6, 12, 48, 7, 7, 19, 2, 2, 2, 2, 8, 8, 8, 20, 73, 3, 3, 3, 15, 62, 68, 4, 4, 16, 5, 5, 140, 70, 12, 12, 13, 19, 2, 2]
quality
openml.evaluation.quality(1.0)
0.10166192054748535
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probability
openml.evaluation.probability(1.0)
0.20860927152317882
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positives
openml.evaluation.positives(1.0)
63
[63, 37, 78, 19, 26, 12, 20, 9, 7, 9, 10, 11, 7, 9, 12, 5, 23, 13, 9, 6, 13, 6, 9, 9, 9, 19, 5, 6, 4, 26, 6, 6, 13, 16, 3, 11, 5, 13, 8, 16, 3, 3, 3, 3, 10, 3, 3, 3, 3, 4, 5, 7, 8, 8, 2, 6, 7, 2, 2, 3, 4, 7, 3, 3, 3, 6, 2, 3, 9, 2, 2, 4, 1, 1, 1, 1, 2, 2, 2, 4, 13, 1, 1, 1, 3, 11, 12, 1, 1, 3, 1, 1, 24, 12, 2, 2, 2, 3, 0, 0]
cortana_quality
openml.evaluation.cortana_quality(1.0)
0.10166192054748535
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