56131
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":"1","search_strategy_width":"256","nr_threads":"1","alpha":"0.5","beam_seed":"","maximum_subgroups":"100","maximum_time":"1.0","minimum_coverage":"2","nr_bins":"128","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
1
4221
search_strategy_width
256
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
128
4221
numeric_strategy
best-bins
4221
beta
1.0
4221
Cortana
coverage
openml.evaluation.coverage(1.0)
339
[339, 354, 379, 500, 560, 171, 422, 323, 648, 352, 653, 579, 680, 588, 514, 741, 742, 446, 378, 823, 734, 854, 406, 911, 842, 942, 950, 854, 954, 555, 771, 771, 777, 878, 979, 990, 902, 1013, 918, 928, 1031, 1032, 634, 800, 1022, 837, 838, 1142, 1043, 1157, 1074, 978, 1179, 292, 1192, 296, 1098, 1208, 910, 16, 1222, 1224, 33, 1034, 1234, 45, 545, 49, 49, 962, 1262, 763, 968, 71, 471, 1171, 375, 1077, 1179, 1289, 1191, 101, 302, 1304, 9, 12, 13, 1314, 1215, 1315, 16, 16, 1117, 20, 1324, 1324, 1025, 1225, 32, 1236]
quality
openml.evaluation.quality(1.0)
0.7959570288658142
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probability
openml.evaluation.probability(1.0)
0.0471976401179941
[0.0471976401179941, 0.04519774011299435, 0.04221635883905013, 0.032, 0.02857142857142857, 0.07017543859649122, 0.03317535545023697, 0.04024767801857585, 0.024691358024691357, 0.036931818181818184, 0.02450229709035222, 0.025906735751295335, 0.023529411764705882, 0.025510204081632654, 0.027237354085603113, 0.021592442645074223, 0.0215633423180593, 0.02914798206278027, 0.031746031746031744, 0.019441069258809233, 0.020435967302452316, 0.01873536299765808, 0.027093596059113302, 0.01756311745334797, 0.017814726840855107, 0.016985138004246284, 0.016842105263157894, 0.01756440281030445, 0.016771488469601678, 0.021621621621621623, 0.018158236057068743, 0.018158236057068743, 0.018018018018018018, 0.017084282460136675, 0.01634320735444331, 0.01616161616161616, 0.01662971175166297, 0.01579466929911155, 0.016339869281045753, 0.016163793103448277, 0.015518913676042677, 0.015503875968992248, 0.01892744479495268, 0.01625, 0.014677103718199608, 0.015531660692951015, 0.015513126491646777, 0.014010507880910683, 0.014381591562799617, 0.013828867761452032, 0.013966480446927373, 0.014314928425357873, 0.013570822731128074, 0.023972602739726026, 0.013422818791946308, 0.02364864864864865, 0.01366120218579235, 0.013245033112582781, 0.014285714285714285, 0.25, 0.01309328968903437, 0.013071895424836602, 0.12121212121212122, 0.013539651837524178, 0.012965964343598054, 0.08888888888888889, 0.01651376146788991, 0.08163265306122448, 0.08163265306122448, 0.013513513513513514, 0.012678288431061807, 0.014416775884665793, 0.013429752066115703, 0.056338028169014086, 0.016985138004246284, 0.012809564474807857, 0.018666666666666668, 0.012999071494893221, 0.01272264631043257, 0.012412723041117145, 0.012594458438287154, 0.039603960396039604, 0.019867549668874173, 0.012269938650306749, 0.3333333333333333, 0.25, 0.23076923076923078, 0.0121765601217656, 0.012345679012345678, 0.012167300380228136, 0.1875, 0.1875, 0.012533572068039392, 0.15, 0.012084592145015106, 0.012084592145015106, 0.012682926829268294, 0.012244897959183673, 0.09375, 0.012135922330097087]
positives
openml.evaluation.positives(1.0)
16
[16, 16, 16, 16, 16, 12, 14, 13, 16, 13, 16, 15, 16, 15, 14, 16, 16, 13, 12, 16, 15, 16, 11, 16, 15, 16, 16, 15, 16, 12, 14, 14, 14, 15, 16, 16, 15, 16, 15, 15, 16, 16, 12, 13, 15, 13, 13, 16, 15, 16, 15, 14, 16, 7, 16, 7, 15, 16, 13, 4, 16, 16, 4, 14, 16, 4, 9, 4, 4, 13, 16, 11, 13, 4, 8, 15, 7, 14, 15, 16, 15, 4, 6, 16, 3, 3, 3, 16, 15, 16, 3, 3, 14, 3, 16, 16, 13, 15, 3, 15]
cortana_quality
openml.evaluation.cortana_quality(1.0)
0.7959570288658142
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