54955
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":"4","search_strategy_width":"1024","nr_threads":"1","alpha":"0.5","beam_seed":"","maximum_subgroups":"100","maximum_time":"1.0","minimum_coverage":"2","nr_bins":"8","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
4
4221
search_strategy_width
1024
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-bins
4221
beta
1.0
4221
Cortana
coverage
openml.evaluation.coverage(1.0)
50
[50, 50, 50, 50, 52, 52, 53, 53, 53, 53, 53, 53, 53, 53, 54, 54, 54, 54, 54, 54, 55, 55, 55, 55, 55, 55, 55, 56, 56, 57, 57, 57, 57, 57, 57, 57, 57, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 58, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 59, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 60, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61, 61]
quality
openml.evaluation.quality(1.0)
0.9524679780006409
[0.9524679780006409, 0.9524679780006409, 0.9524679780006409, 0.9524679780006409, 0.9488117098808289, 0.9488117098808289, 0.9469835758209229, 0.9469835758209229, 0.9469835758209229, 0.9469835758209229, 0.9469835758209229, 0.9469835758209229, 0.9469835758209229, 0.9469835758209229, 0.9451553821563721, 0.9451553821563721, 0.9451553821563721, 0.9451553821563721, 0.9451553821563721, 0.9451553821563721, 0.9433272480964661, 0.9433272480964661, 0.9433272480964661, 0.9433272480964661, 0.9433272480964661, 0.9433272480964661, 0.9433272480964661, 0.9414991140365601, 0.9414991140365601, 0.9396709203720093, 0.9396709203720093, 0.9396709203720093, 0.9396709203720093, 0.9396709203720093, 0.9396709203720093, 0.9396709203720093, 0.9396709203720093, 0.9378427863121033, 0.9378427863121033, 0.9378427863121033, 0.9378427863121033, 0.9378427863121033, 0.9378427863121033, 0.9378427863121033, 0.9378427863121033, 0.9378427863121033, 0.9378427863121033, 0.9378427863121033, 0.9378427863121033, 0.9378427863121033, 0.9378427863121033, 0.9378427863121033, 0.9378427863121033, 0.9360146522521973, 0.9360146522521973, 0.9360146522521973, 0.9360146522521973, 0.9360146522521973, 0.9360146522521973, 0.9360146522521973, 0.9360146522521973, 0.9360146522521973, 0.9360146522521973, 0.9360146522521973, 0.9360146522521973, 0.9360146522521973, 0.9360146522521973, 0.9341864585876465, 0.9341864585876465, 0.9341864585876465, 0.9341864585876465, 0.9341864585876465, 0.9341864585876465, 0.9341864585876465, 0.9341864585876465, 0.9341864585876465, 0.9341864585876465, 0.9341864585876465, 0.9341864585876465, 0.9341864585876465, 0.9341864585876465, 0.9341864585876465, 0.9341864585876465, 0.9341864585876465, 0.9341864585876465, 0.9341864585876465, 0.9341864585876465, 0.9341864585876465, 0.9341864585876465, 0.9323583245277405, 0.9323583245277405, 0.9323583245277405, 0.9323583245277405, 0.9323583245277405, 0.9323583245277405, 0.9323583245277405, 0.9323583245277405, 0.9323583245277405, 0.9323583245277405, 0.9323583245277405]
probability
openml.evaluation.probability(1.0)
0.48
[0.48, 0.48, 0.48, 0.48, 0.46153846153846156, 0.46153846153846156, 0.4528301886792453, 0.4528301886792453, 0.4528301886792453, 0.4528301886792453, 0.4528301886792453, 0.4528301886792453, 0.4528301886792453, 0.4528301886792453, 0.4444444444444444, 0.4444444444444444, 0.4444444444444444, 0.4444444444444444, 0.4444444444444444, 0.4444444444444444, 0.43636363636363634, 0.43636363636363634, 0.43636363636363634, 0.43636363636363634, 0.43636363636363634, 0.43636363636363634, 0.43636363636363634, 0.42857142857142855, 0.42857142857142855, 0.42105263157894735, 0.42105263157894735, 0.42105263157894735, 0.42105263157894735, 0.42105263157894735, 0.42105263157894735, 0.42105263157894735, 0.42105263157894735, 0.41379310344827586, 0.41379310344827586, 0.41379310344827586, 0.41379310344827586, 0.41379310344827586, 0.41379310344827586, 0.41379310344827586, 0.41379310344827586, 0.41379310344827586, 0.41379310344827586, 0.41379310344827586, 0.41379310344827586, 0.41379310344827586, 0.41379310344827586, 0.41379310344827586, 0.41379310344827586, 0.4067796610169492, 0.4067796610169492, 0.4067796610169492, 0.4067796610169492, 0.4067796610169492, 0.4067796610169492, 0.4067796610169492, 0.4067796610169492, 0.4067796610169492, 0.4067796610169492, 0.4067796610169492, 0.4067796610169492, 0.4067796610169492, 0.4067796610169492, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.39344262295081966, 0.39344262295081966, 0.39344262295081966, 0.39344262295081966, 0.39344262295081966, 0.39344262295081966, 0.39344262295081966, 0.39344262295081966, 0.39344262295081966, 0.39344262295081966, 0.39344262295081966]
positives
openml.evaluation.positives(1.0)
24
[24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 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)
0.9524679780006409
[0.9524679780006409, 0.9524679780006409, 0.9524679780006409, 0.9524679780006409, 0.9488117098808289, 0.9488117098808289, 0.9469835758209229, 0.9469835758209229, 0.9469835758209229, 0.9469835758209229, 0.9469835758209229, 0.9469835758209229, 0.9469835758209229, 0.9469835758209229, 0.9451553821563721, 0.9451553821563721, 0.9451553821563721, 0.9451553821563721, 0.9451553821563721, 0.9451553821563721, 0.9433272480964661, 0.9433272480964661, 0.9433272480964661, 0.9433272480964661, 0.9433272480964661, 0.9433272480964661, 0.9433272480964661, 0.9414991140365601, 0.9414991140365601, 0.9396709203720093, 0.9396709203720093, 0.9396709203720093, 0.9396709203720093, 0.9396709203720093, 0.9396709203720093, 0.9396709203720093, 0.9396709203720093, 0.9378427863121033, 0.9378427863121033, 0.9378427863121033, 0.9378427863121033, 0.9378427863121033, 0.9378427863121033, 0.9378427863121033, 0.9378427863121033, 0.9378427863121033, 0.9378427863121033, 0.9378427863121033, 0.9378427863121033, 0.9378427863121033, 0.9378427863121033, 0.9378427863121033, 0.9378427863121033, 0.9360146522521973, 0.9360146522521973, 0.9360146522521973, 0.9360146522521973, 0.9360146522521973, 0.9360146522521973, 0.9360146522521973, 0.9360146522521973, 0.9360146522521973, 0.9360146522521973, 0.9360146522521973, 0.9360146522521973, 0.9360146522521973, 0.9360146522521973, 0.9341864585876465, 0.9341864585876465, 0.9341864585876465, 0.9341864585876465, 0.9341864585876465, 0.9341864585876465, 0.9341864585876465, 0.9341864585876465, 0.9341864585876465, 0.9341864585876465, 0.9341864585876465, 0.9341864585876465, 0.9341864585876465, 0.9341864585876465, 0.9341864585876465, 0.9341864585876465, 0.9341864585876465, 0.9341864585876465, 0.9341864585876465, 0.9341864585876465, 0.9341864585876465, 0.9341864585876465, 0.9323583245277405, 0.9323583245277405, 0.9323583245277405, 0.9323583245277405, 0.9323583245277405, 0.9323583245277405, 0.9323583245277405, 0.9323583245277405, 0.9323583245277405, 0.9323583245277405, 0.9323583245277405]