53943
4221
{"search_strategy":"beam","use_nominal_sets":"false","post_processing_count":"20","maximum_coverage_fraction":"1.0","numeric_operators":"=","overall_ranking_loss":"0.0","post_processing_do_autorun":"true","search_depth":"4","search_strategy_width":"16","nr_threads":"1","alpha":"0.5","beam_seed":"","maximum_subgroups":"100","maximum_time":"1.0","minimum_coverage":"2","nr_bins":"16","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
=
4221
overall_ranking_loss
0.0
4221
post_processing_do_autorun
true
4221
search_depth
4
4221
search_strategy_width
16
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
16
4221
numeric_strategy
bins
4221
beta
1.0
4221
Cortana
coverage
openml.evaluation.coverage(1.0)
688
[688, 300, 304, 491, 275, 337, 407, 240, 306, 204, 296, 664, 157, 538, 412, 325, 115, 533, 727, 267, 146, 564, 287, 83, 234, 271, 85, 69, 30, 172, 117, 223, 95, 103, 208, 72, 314, 343, 246, 93, 119, 253, 257, 404, 96, 71, 77, 134, 161, 112, 61, 11, 143, 41, 67, 42, 18, 97, 149, 73, 74, 23, 76, 26, 29, 55, 81, 5, 31, 87, 10, 36, 11, 63, 377, 66, 15, 15, 41, 95, 18, 18, 18, 19, 20, 46, 47, 125, 22, 23, 49, 75, 101, 24, 50, 50, 102, 25, 26, 27]
quality
openml.evaluation.quality(1.0)
0.2167680412530899
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probability
openml.evaluation.probability(1.0)
0.12936046511627908
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positives
openml.evaluation.positives(1.0)
89
[89, 72, 64, 69, 57, 59, 60, 49, 45, 40, 42, 56, 36, 50, 44, 39, 25, 41, 48, 28, 23, 39, 28, 20, 24, 24, 16, 15, 12, 17, 14, 18, 13, 13, 17, 11, 20, 21, 17, 11, 12, 17, 17, 22, 10, 9, 9, 11, 12, 10, 8, 6, 11, 7, 8, 7, 6, 9, 11, 8, 8, 6, 8, 6, 6, 7, 8, 5, 6, 8, 5, 6, 5, 7, 19, 7, 5, 5, 6, 8, 5, 5, 5, 5, 5, 6, 6, 9, 5, 5, 6, 7, 8, 5, 6, 6, 8, 5, 5, 5]
cortana_quality
openml.evaluation.cortana_quality(1.0)
0.2167680412530899
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