53887
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":"4","nr_threads":"1","alpha":"0.5","beam_seed":"","maximum_subgroups":"100","maximum_time":"1.0","minimum_coverage":"2","nr_bins":"2","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
4
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
2
4221
numeric_strategy
bins
4221
beta
1.0
4221
Cortana
coverage
openml.evaluation.coverage(1.0)
975
[975, 975, 975, 976, 975, 977, 977, 979, 975, 975, 975, 975, 976, 975, 975, 975, 976, 979, 977, 975, 975, 975, 975, 975, 975, 975, 975, 976, 976, 977, 993, 975, 975, 975, 975, 976, 975, 975, 975, 975, 975, 976, 976, 975, 975, 975, 976, 976, 975, 975, 975, 976, 976, 976, 976, 977, 978, 980, 975, 975, 975, 976, 976, 976, 976, 977, 978, 980, 975, 975, 976, 976, 975, 975, 975, 975, 976, 976, 976, 977, 975, 975, 975, 976, 976, 976, 992, 998, 975, 975, 1001, 976, 976, 976, 1593, 976, 976, 1607, 1622, 975]
quality
openml.evaluation.quality(1.0)
0.9030305743217468
[0.9030305743217468, 0.9030305743217468, 0.9030305743217468, 0.9028971791267395, 0.8995638489723206, 0.8992970585823059, 0.8992970585823059, 0.8990302681922913, 0.892630398273468, 0.892630398273468, 0.8891636729240417, 0.8891636729240417, 0.8890302777290344, 0.8856969475746155, 0.8822302222251892, 0.8822302222251892, 0.8820968270301819, 0.8816967010498047, 0.8680965900421143, 0.8648966550827026, 0.8648966550827026, 0.8648966550827026, 0.8648966550827026, 0.8648966550827026, 0.8648966550827026, 0.8614299297332764, 0.8614299297332764, 0.861296534538269, 0.861296534538269, 0.8611631393432617, 0.8590289354324341, 0.8579632043838501, 0.8579632043838501, 0.8579632043838501, 0.8579632043838501, 0.8578298091888428, 0.8544964790344238, 0.8544964790344238, 0.8544964790344238, 0.8544964790344238, 0.8544964790344238, 0.8543630838394165, 0.8543630838394165, 0.8510297536849976, 0.8510297536849976, 0.8510297536849976, 0.8508963584899902, 0.8508963584899902, 0.8475630283355713, 0.8475630283355713, 0.844096302986145, 0.8439629077911377, 0.8439629077911377, 0.8439629077911377, 0.8439629077911377, 0.8438295125961304, 0.843696117401123, 0.8434293866157532, 0.8406295776367188, 0.8406295776367188, 0.8406295776367188, 0.8404961824417114, 0.8404961824417114, 0.8404961824417114, 0.8404961824417114, 0.8403627872467041, 0.8402294516563416, 0.8399626612663269, 0.8371628522872925, 0.8371628522872925, 0.8370294570922852, 0.8370294570922852, 0.8336961269378662, 0.8336961269378662, 0.8336961269378662, 0.8336961269378662, 0.8335627317428589, 0.8335627317428589, 0.8335627317428589, 0.8334293961524963, 0.8302294015884399, 0.8302294015884399, 0.8302294015884399, 0.8300960659980774, 0.8300960659980774, 0.8300960659980774, 0.8279618620872498, 0.8271615505218506, 0.8267626762390137, 0.8267626762390137, 0.8267613649368286, 0.8266293406486511, 0.8266293406486511, 0.8266293406486511, 0.824064314365387, 0.8231626152992249, 0.8231626152992249, 0.822196900844574, 0.8201960921287537, 0.8198292851448059]
probability
openml.evaluation.probability(1.0)
0.30564102564102563
[0.30564102564102563, 0.30564102564102563, 0.30564102564102563, 0.305327868852459, 0.3046153846153846, 0.3039918116683726, 0.3039918116683726, 0.30337078651685395, 0.30256410256410254, 0.30256410256410254, 0.30153846153846153, 0.30153846153846153, 0.3012295081967213, 0.3005128205128205, 0.2994871794871795, 0.2994871794871795, 0.29918032786885246, 0.2982635342185904, 0.2947799385875128, 0.29435897435897435, 0.29435897435897435, 0.29435897435897435, 0.29435897435897435, 0.29435897435897435, 0.29435897435897435, 0.29333333333333333, 0.29333333333333333, 0.2930327868852459, 0.2930327868852459, 0.29273285568065505, 0.2880161127895267, 0.2923076923076923, 0.2923076923076923, 0.2923076923076923, 0.2923076923076923, 0.29200819672131145, 0.29128205128205126, 0.29128205128205126, 0.29128205128205126, 0.29128205128205126, 0.29128205128205126, 0.29098360655737704, 0.29098360655737704, 0.29025641025641025, 0.29025641025641025, 0.29025641025641025, 0.2899590163934426, 0.2899590163934426, 0.28923076923076924, 0.28923076923076924, 0.2882051282051282, 0.28790983606557374, 0.28790983606557374, 0.28790983606557374, 0.28790983606557374, 0.28761514841351077, 0.28732106339468305, 0.286734693877551, 0.28717948717948716, 0.28717948717948716, 0.28717948717948716, 0.28688524590163933, 0.28688524590163933, 0.28688524590163933, 0.28688524590163933, 0.2865916069600819, 0.28629856850715746, 0.2857142857142857, 0.28615384615384615, 0.28615384615384615, 0.2858606557377049, 0.2858606557377049, 0.28512820512820514, 0.28512820512820514, 0.28512820512820514, 0.28512820512820514, 0.2848360655737705, 0.2848360655737705, 0.2848360655737705, 0.28454452405322417, 0.2841025641025641, 0.2841025641025641, 0.2841025641025641, 0.2838114754098361, 0.2838114754098361, 0.2838114754098361, 0.27923387096774194, 0.2775551102204409, 0.28307692307692306, 0.28307692307692306, 0.27672327672327673, 0.2827868852459016, 0.2827868852459016, 0.2827868852459016, 0.1876961707470182, 0.2817622950819672, 0.2817622950819672, 0.18606098319850653, 0.1843403205918619, 0.28102564102564104]
positives
openml.evaluation.positives(1.0)
298
[298, 298, 298, 298, 297, 297, 297, 297, 295, 295, 294, 294, 294, 293, 292, 292, 292, 292, 288, 287, 287, 287, 287, 287, 287, 286, 286, 286, 286, 286, 286, 285, 285, 285, 285, 285, 284, 284, 284, 284, 284, 284, 284, 283, 283, 283, 283, 283, 282, 282, 281, 281, 281, 281, 281, 281, 281, 281, 280, 280, 280, 280, 280, 280, 280, 280, 280, 280, 279, 279, 279, 279, 278, 278, 278, 278, 278, 278, 278, 278, 277, 277, 277, 277, 277, 277, 277, 277, 276, 276, 277, 276, 276, 276, 299, 275, 275, 299, 299, 274]
cortana_quality
openml.evaluation.cortana_quality(1.0)
0.9030305743217468
[0.9030305743217468, 0.9030305743217468, 0.9030305743217468, 0.9028971791267395, 0.8995638489723206, 0.8992970585823059, 0.8992970585823059, 0.8990302681922913, 0.892630398273468, 0.892630398273468, 0.8891636729240417, 0.8891636729240417, 0.8890302777290344, 0.8856969475746155, 0.8822302222251892, 0.8822302222251892, 0.8820968270301819, 0.8816967010498047, 0.8680965900421143, 0.8648966550827026, 0.8648966550827026, 0.8648966550827026, 0.8648966550827026, 0.8648966550827026, 0.8648966550827026, 0.8614299297332764, 0.8614299297332764, 0.861296534538269, 0.861296534538269, 0.8611631393432617, 0.8590289354324341, 0.8579632043838501, 0.8579632043838501, 0.8579632043838501, 0.8579632043838501, 0.8578298091888428, 0.8544964790344238, 0.8544964790344238, 0.8544964790344238, 0.8544964790344238, 0.8544964790344238, 0.8543630838394165, 0.8543630838394165, 0.8510297536849976, 0.8510297536849976, 0.8510297536849976, 0.8508963584899902, 0.8508963584899902, 0.8475630283355713, 0.8475630283355713, 0.844096302986145, 0.8439629077911377, 0.8439629077911377, 0.8439629077911377, 0.8439629077911377, 0.8438295125961304, 0.843696117401123, 0.8434293866157532, 0.8406295776367188, 0.8406295776367188, 0.8406295776367188, 0.8404961824417114, 0.8404961824417114, 0.8404961824417114, 0.8404961824417114, 0.8403627872467041, 0.8402294516563416, 0.8399626612663269, 0.8371628522872925, 0.8371628522872925, 0.8370294570922852, 0.8370294570922852, 0.8336961269378662, 0.8336961269378662, 0.8336961269378662, 0.8336961269378662, 0.8335627317428589, 0.8335627317428589, 0.8335627317428589, 0.8334293961524963, 0.8302294015884399, 0.8302294015884399, 0.8302294015884399, 0.8300960659980774, 0.8300960659980774, 0.8300960659980774, 0.8279618620872498, 0.8271615505218506, 0.8267626762390137, 0.8267626762390137, 0.8267613649368286, 0.8266293406486511, 0.8266293406486511, 0.8266293406486511, 0.824064314365387, 0.8231626152992249, 0.8231626152992249, 0.822196900844574, 0.8201960921287537, 0.8198292851448059]