53943
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":"1024","nr_threads":"1","alpha":"0.5","beam_seed":"","maximum_subgroups":"100","maximum_time":"1.0","minimum_coverage":"2","nr_bins":"4","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
1024
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
4
4221
numeric_strategy
best-bins
4221
beta
1.0
4221
Cortana
coverage
openml.evaluation.coverage(1.0)
1952
[1952, 1952, 1950, 1950, 1950, 1951, 1950, 1951, 3899, 3899, 3900, 3899, 1950, 3899, 3899, 3899, 1952, 1950, 3899, 3899, 3899, 1950, 3899, 1950, 1950, 1950, 1950, 3899, 1950, 1951, 3899, 3899, 3900, 3899, 3899, 3901, 1950, 1950, 3901, 3901, 3900, 1951, 3900, 3899, 3899, 3900, 3899, 3899, 1950, 3899, 3899, 3900, 3899, 3912, 3899, 1951, 1951, 1952, 3899, 1952, 1950, 3900, 3901, 3899, 1950, 3900, 3900, 1952, 3899, 3900, 3899, 3899, 3899, 1951, 3899, 3899, 1950, 1950, 1951, 3899, 3899, 3901, 3901, 688, 3899, 3900, 1953, 3899, 1950, 3901, 300, 3901, 3899, 3899, 3900, 3899, 1952, 1951, 3899, 3899]
quality
openml.evaluation.quality(1.0)
0.48844072222709656
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probability
openml.evaluation.probability(1.0)
0.11065573770491803
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positives
openml.evaluation.positives(1.0)
216
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cortana_quality
openml.evaluation.cortana_quality(1.0)
0.48844072222709656
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