56243
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":"2","search_strategy_width":"1","nr_threads":"1","alpha":"0.5","beam_seed":"","maximum_subgroups":"100","maximum_time":"1.0","minimum_coverage":"2","nr_bins":"128","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
2
4221
search_strategy_width
1
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
bins
4221
beta
1.0
4221
Cortana
coverage
openml.evaluation.coverage(1.0)
647
[647, 609, 680, 676, 607, 663, 695, 469, 501, 669, 631, 692, 662, 622, 643, 717, 674, 578, 689, 651, 643, 704, 312, 735, 665, 397, 613, 714, 610, 664, 675, 206, 608, 548, 780, 732, 552, 759, 533, 665, 776, 740, 671, 642, 776, 644, 735, 390, 682, 664, 698, 659, 589, 780, 650, 565, 502, 483, 836, 738, 762, 676, 760, 619, 670, 600, 560, 612, 392, 843, 789, 837, 136, 730, 322, 436, 507, 819, 650, 681, 682, 683, 914, 584, 575, 942, 694, 296, 909, 422, 656, 289, 663, 746, 387, 788, 439, 724, 686, 546]
quality
openml.evaluation.quality(1.0)
0.6317465305328369
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probability
openml.evaluation.probability(1.0)
0.23956723338485317
[0.23956723338485317, 0.24466338259441708, 0.22794117647058823, 0.22781065088757396, 0.24217462932454695, 0.22926093514328807, 0.22302158273381295, 0.2814498933901919, 0.2694610778443114, 0.2257100149476831, 0.2329635499207607, 0.22109826589595374, 0.22658610271903323, 0.2347266881028939, 0.2301710730948678, 0.21617852161785217, 0.22255192878338279, 0.2422145328719723, 0.21915820029027577, 0.22580645161290322, 0.22706065318818042, 0.2159090909090909, 0.358974358974359, 0.20952380952380953, 0.22105263157894736, 0.3022670025188917, 0.2300163132137031, 0.211484593837535, 0.22950819672131148, 0.2183734939759036, 0.2162962962962963, 0.48058252427184467, 0.22861842105263158, 0.2427007299270073, 0.2, 0.2062841530054645, 0.24094202898550723, 0.2015810276679842, 0.24390243902439024, 0.21503759398496242, 0.19845360824742267, 0.20270270270270271, 0.21311475409836064, 0.21806853582554517, 0.19716494845360824, 0.21583850931677018, 0.20136054421768707, 0.28974358974358977, 0.20821114369501467, 0.21084337349397592, 0.20487106017191978, 0.2109256449165402, 0.22410865874363328, 0.1935897435897436, 0.2123076923076923, 0.22831858407079647, 0.24302788844621515, 0.2484472049689441, 0.1854066985645933, 0.19647696476964768, 0.19160104986876642, 0.20266272189349113, 0.19078947368421054, 0.210016155088853, 0.20149253731343283, 0.21333333333333335, 0.22142857142857142, 0.2107843137254902, 0.2729591836734694, 0.18030842230130487, 0.1850443599493029, 0.17921146953405018, 0.5882352941176471, 0.19041095890410958, 0.30434782608695654, 0.25, 0.22879684418145957, 0.1794871794871795, 0.2, 0.19530102790014683, 0.19501466275659823, 0.19472913616398244, 0.17067833698030635, 0.2106164383561644, 0.21217391304347827, 0.16772823779193205, 0.19164265129682997, 0.3141891891891892, 0.1694169416941694, 0.24881516587677724, 0.1951219512195122, 0.314878892733564, 0.19306184012066366, 0.18230563002680966, 0.25839793281653745, 0.17766497461928935, 0.23917995444191345, 0.18370165745856354, 0.1880466472303207, 0.21062271062271062]
positives
openml.evaluation.positives(1.0)
155
[155, 149, 155, 154, 147, 152, 155, 132, 135, 151, 147, 153, 150, 146, 148, 155, 150, 140, 151, 147, 146, 152, 112, 154, 147, 120, 141, 151, 140, 145, 146, 99, 139, 133, 156, 151, 133, 153, 130, 143, 154, 150, 143, 140, 153, 139, 148, 113, 142, 140, 143, 139, 132, 151, 138, 129, 122, 120, 155, 145, 146, 137, 145, 130, 135, 128, 124, 129, 107, 152, 146, 150, 80, 139, 98, 109, 116, 147, 130, 133, 133, 133, 156, 123, 122, 158, 133, 93, 154, 105, 128, 91, 128, 136, 100, 140, 105, 133, 129, 115]
cortana_quality
openml.evaluation.cortana_quality(1.0)
0.6317465305328369
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