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":"3","search_strategy_width":"1024","nr_threads":"1","alpha":"0.5","beam_seed":"","maximum_subgroups":"100","maximum_time":"1.0","minimum_coverage":"2","nr_bins":"32","numeric_strategy":"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
3
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
32
4221
numeric_strategy
bins
4221
beta
1.0
4221
Cortana
coverage
openml.evaluation.coverage(1.0)
2439
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quality
openml.evaluation.quality(1.0)
0.5205495357513428
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probability
openml.evaluation.probability(1.0)
0.1000410004100041
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positives
openml.evaluation.positives(1.0)
244
[244, 252, 205, 261, 242, 268, 193, 210, 247, 228, 274, 189, 254, 216, 225, 224, 205, 233, 214, 204, 204, 260, 241, 241, 194, 250, 175, 212, 249, 202, 276, 210, 191, 219, 219, 265, 218, 246, 199, 227, 180, 255, 208, 208, 236, 170, 273, 226, 207, 207, 188, 216, 178, 262, 243, 196, 224, 224, 252, 186, 214, 214, 195, 251, 279, 204, 232, 222, 259, 184, 221, 174, 230, 183, 267, 220, 229, 257, 163, 238, 247, 275, 153, 227, 236, 169, 272, 272, 225, 225, 281, 262, 215, 177, 261, 242, 251, 157, 232, 241]
cortana_quality
openml.evaluation.cortana_quality(1.0)
0.5205495357513428
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