54955
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":"3","search_strategy_width":"256","nr_threads":"1","alpha":"0.5","beam_seed":"","maximum_subgroups":"100","maximum_time":"1.0","minimum_coverage":"2","nr_bins":"8","numeric_strategy":"best","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
3
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
8
4221
numeric_strategy
best
4221
beta
1.0
4221
Cortana
coverage
openml.evaluation.coverage(1.0)
147
[147, 170, 178, 132, 186, 187, 187, 199, 199, 201, 207, 208, 209, 186, 210, 210, 188, 188, 215, 215, 216, 216, 194, 194, 218, 218, 219, 220, 220, 221, 221, 221, 222, 223, 223, 223, 223, 224, 224, 224, 201, 201, 225, 203, 227, 228, 228, 228, 228, 228, 205, 205, 206, 230, 230, 230, 230, 230, 231, 231, 231, 231, 232, 232, 232, 232, 232, 232, 232, 209, 233, 233, 233, 233, 233, 210, 234, 234, 234, 234, 234, 235, 235, 235, 235, 236, 236, 236, 236, 236, 237, 237, 237, 237, 238, 238, 238, 238, 238, 239]
quality
openml.evaluation.quality(1.0)
0.7751371264457703
[0.7751371264457703, 0.7330895662307739, 0.7184643745422363, 0.715569794178009, 0.703839123249054, 0.702010989189148, 0.702010989189148, 0.6800731420516968, 0.6800731420516968, 0.67641681432724, 0.6654478907585144, 0.6636197566986084, 0.6617915630340576, 0.6603443026542664, 0.6599634289741516, 0.6599634289741516, 0.6566879749298096, 0.6566879749298096, 0.650822639465332, 0.650822639465332, 0.648994505405426, 0.648994505405426, 0.645719051361084, 0.645719051361084, 0.645338237285614, 0.645338237285614, 0.6435100436210632, 0.6416819095611572, 0.6416819095611572, 0.6398537755012512, 0.6398537755012512, 0.6398537755012512, 0.6380255818367004, 0.6361974477767944, 0.6361974477767944, 0.6361974477767944, 0.6361974477767944, 0.6343693137168884, 0.6343693137168884, 0.6343693137168884, 0.6329219937324524, 0.6329219937324524, 0.6325411200523376, 0.6292656660079956, 0.6288848519325256, 0.6270566582679749, 0.6270566582679749, 0.6270566582679749, 0.6270566582679749, 0.6270566582679749, 0.6256093978881836, 0.6256093978881836, 0.6237812042236328, 0.6234003901481628, 0.6234003901481628, 0.6234003901481628, 0.6234003901481628, 0.6234003901481628, 0.6215721964836121, 0.6215721964836121, 0.6215721964836121, 0.6215721964836121, 0.619744062423706, 0.619744062423706, 0.619744062423706, 0.619744062423706, 0.619744062423706, 0.619744062423706, 0.619744062423706, 0.61829674243927, 0.6179159283638, 0.6179159283638, 0.6179159283638, 0.6179159283638, 0.6179159283638, 0.616468608379364, 0.6160877346992493, 0.6160877346992493, 0.6160877346992493, 0.6160877346992493, 0.6160877346992493, 0.6142596006393433, 0.6142596006393433, 0.6142596006393433, 0.6142596006393433, 0.6124314665794373, 0.6124314665794373, 0.6124314665794373, 0.6124314665794373, 0.6124314665794373, 0.6106032729148865, 0.6106032729148865, 0.6106032729148865, 0.6106032729148865, 0.6087751388549805, 0.6087751388549805, 0.6087751388549805, 0.6087751388549805, 0.6087751388549805, 0.6069470047950745]
probability
openml.evaluation.probability(1.0)
0.16326530612244897
[0.16326530612244897, 0.1411764705882353, 0.1348314606741573, 0.16666666666666666, 0.12903225806451613, 0.12834224598930483, 0.12834224598930483, 0.12060301507537688, 0.12060301507537688, 0.11940298507462686, 0.11594202898550725, 0.11538461538461539, 0.11483253588516747, 0.12365591397849462, 0.11428571428571428, 0.11428571428571428, 0.12234042553191489, 0.12234042553191489, 0.11162790697674418, 0.11162790697674418, 0.1111111111111111, 0.1111111111111111, 0.11855670103092783, 0.11855670103092783, 0.11009174311926606, 0.11009174311926606, 0.1095890410958904, 0.10909090909090909, 0.10909090909090909, 0.1085972850678733, 0.1085972850678733, 0.1085972850678733, 0.10810810810810811, 0.10762331838565023, 0.10762331838565023, 0.10762331838565023, 0.10762331838565023, 0.10714285714285714, 0.10714285714285714, 0.10714285714285714, 0.11442786069651742, 0.11442786069651742, 0.10666666666666667, 0.11330049261083744, 0.10572687224669604, 0.10526315789473684, 0.10526315789473684, 0.10526315789473684, 0.10526315789473684, 0.10526315789473684, 0.11219512195121951, 0.11219512195121951, 0.11165048543689321, 0.10434782608695652, 0.10434782608695652, 0.10434782608695652, 0.10434782608695652, 0.10434782608695652, 0.1038961038961039, 0.1038961038961039, 0.1038961038961039, 0.1038961038961039, 0.10344827586206896, 0.10344827586206896, 0.10344827586206896, 0.10344827586206896, 0.10344827586206896, 0.10344827586206896, 0.10344827586206896, 0.11004784688995216, 0.10300429184549356, 0.10300429184549356, 0.10300429184549356, 0.10300429184549356, 0.10300429184549356, 0.10952380952380952, 0.10256410256410256, 0.10256410256410256, 0.10256410256410256, 0.10256410256410256, 0.10256410256410256, 0.10212765957446808, 0.10212765957446808, 0.10212765957446808, 0.10212765957446808, 0.1016949152542373, 0.1016949152542373, 0.1016949152542373, 0.1016949152542373, 0.1016949152542373, 0.10126582278481013, 0.10126582278481013, 0.10126582278481013, 0.10126582278481013, 0.10084033613445378, 0.10084033613445378, 0.10084033613445378, 0.10084033613445378, 0.10084033613445378, 0.100418410041841]
positives
openml.evaluation.positives(1.0)
24
[24, 24, 24, 22, 24, 24, 24, 24, 24, 24, 24, 24, 24, 23, 24, 24, 23, 23, 24, 24, 24, 24, 23, 23, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 23, 23, 24, 23, 24, 24, 24, 24, 24, 24, 23, 23, 23, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 23, 24, 24, 24, 24, 24, 23, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24]
cortana_quality
openml.evaluation.cortana_quality(1.0)
0.7751371264457703
[0.7751371264457703, 0.7330895662307739, 0.7184643745422363, 0.715569794178009, 0.703839123249054, 0.702010989189148, 0.702010989189148, 0.6800731420516968, 0.6800731420516968, 0.67641681432724, 0.6654478907585144, 0.6636197566986084, 0.6617915630340576, 0.6603443026542664, 0.6599634289741516, 0.6599634289741516, 0.6566879749298096, 0.6566879749298096, 0.650822639465332, 0.650822639465332, 0.648994505405426, 0.648994505405426, 0.645719051361084, 0.645719051361084, 0.645338237285614, 0.645338237285614, 0.6435100436210632, 0.6416819095611572, 0.6416819095611572, 0.6398537755012512, 0.6398537755012512, 0.6398537755012512, 0.6380255818367004, 0.6361974477767944, 0.6361974477767944, 0.6361974477767944, 0.6361974477767944, 0.6343693137168884, 0.6343693137168884, 0.6343693137168884, 0.6329219937324524, 0.6329219937324524, 0.6325411200523376, 0.6292656660079956, 0.6288848519325256, 0.6270566582679749, 0.6270566582679749, 0.6270566582679749, 0.6270566582679749, 0.6270566582679749, 0.6256093978881836, 0.6256093978881836, 0.6237812042236328, 0.6234003901481628, 0.6234003901481628, 0.6234003901481628, 0.6234003901481628, 0.6234003901481628, 0.6215721964836121, 0.6215721964836121, 0.6215721964836121, 0.6215721964836121, 0.619744062423706, 0.619744062423706, 0.619744062423706, 0.619744062423706, 0.619744062423706, 0.619744062423706, 0.619744062423706, 0.61829674243927, 0.6179159283638, 0.6179159283638, 0.6179159283638, 0.6179159283638, 0.6179159283638, 0.616468608379364, 0.6160877346992493, 0.6160877346992493, 0.6160877346992493, 0.6160877346992493, 0.6160877346992493, 0.6142596006393433, 0.6142596006393433, 0.6142596006393433, 0.6142596006393433, 0.6124314665794373, 0.6124314665794373, 0.6124314665794373, 0.6124314665794373, 0.6124314665794373, 0.6106032729148865, 0.6106032729148865, 0.6106032729148865, 0.6106032729148865, 0.6087751388549805, 0.6087751388549805, 0.6087751388549805, 0.6087751388549805, 0.6087751388549805, 0.6069470047950745]