54455
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":"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":"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
=
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
8
4221
numeric_strategy
best-bins
4221
beta
1.0
4221
Cortana
coverage
openml.evaluation.coverage(1.0)
302
[302, 165, 408, 116, 83, 22, 31, 39, 112, 55, 58, 35, 35, 95, 137, 20, 62, 80, 35, 48, 7, 31, 26, 29, 73, 15, 140, 70, 96, 85, 65, 163, 23, 71, 87, 389, 172, 231, 383]
quality
openml.evaluation.quality(1.0)
0.10166192054748535
[0.10166192054748535, 0.07841283082962036, 0.0742858424782753, 0.055019132792949677, 0.05174868553876877, 0.04650929942727089, 0.041759368032217026, 0.03852229192852974, 0.03447316959500313, 0.032048143446445465, 0.027509566396474838, 0.026842128485441208, 0.026842128485441208, 0.024728575721383095, 0.02324908785521984, 0.02293761633336544, 0.021458128467202187, 0.020824063569307327, 0.01797632873058319, 0.016040757298469543, 0.01600738614797592, 0.015161965042352676, 0.013860461302101612, 0.00932188332080841, 0.004816676955670118, 0.003904511919245124, 9.789089672267437E-4, 4.894544836133718E-4, -0.0033816855866461992, -0.004471834283322096, -0.00967784970998764, -0.016085254028439522, -0.017064163461327553, -0.02762080542743206, -0.034094955772161484, -0.0742858424782753, -0.10062739253044128, -0.1189596876502037, -0.13613508641719818]
probability
openml.evaluation.probability(1.0)
0.20860927152317882
[0.20860927152317882, 0.22424242424242424, 0.19117647058823528, 0.22413793103448276, 0.24096385542168675, 0.4090909090909091, 0.3225806451612903, 0.28205128205128205, 0.20535714285714285, 0.23636363636363636, 0.22413793103448276, 0.2571428571428571, 0.2571428571428571, 0.2, 0.1897810218978102, 0.3, 0.20967741935483872, 0.2, 0.22857142857142856, 0.20833333333333334, 0.42857142857142855, 0.22580645161290322, 0.23076923076923078, 0.20689655172413793, 0.1780821917808219, 0.2, 0.17142857142857143, 0.17142857142857143, 0.16666666666666666, 0.16470588235294117, 0.15384615384615385, 0.15950920245398773, 0.08695652173913043, 0.1267605633802817, 0.12643678160919541, 0.14910025706940874, 0.10465116279069768, 0.11255411255411256, 0.13054830287206268]
positives
openml.evaluation.positives(1.0)
63
[63, 37, 78, 26, 20, 9, 10, 11, 23, 13, 13, 9, 9, 19, 26, 6, 13, 16, 8, 10, 3, 7, 6, 6, 13, 3, 24, 12, 16, 14, 10, 26, 2, 9, 11, 58, 18, 26, 50]
cortana_quality
openml.evaluation.cortana_quality(1.0)
0.10166192054748535
[0.10166192054748535, 0.07841283082962036, 0.0742858424782753, 0.055019132792949677, 0.05174868553876877, 0.04650929942727089, 0.041759368032217026, 0.03852229192852974, 0.03447316959500313, 0.032048143446445465, 0.027509566396474838, 0.026842128485441208, 0.026842128485441208, 0.024728575721383095, 0.02324908785521984, 0.02293761633336544, 0.021458128467202187, 0.020824063569307327, 0.01797632873058319, 0.016040757298469543, 0.01600738614797592, 0.015161965042352676, 0.013860461302101612, 0.00932188332080841, 0.004816676955670118, 0.003904511919245124, 9.789089672267437E-4, 4.894544836133718E-4, -0.0033816855866461992, -0.004471834283322096, -0.00967784970998764, -0.016085254028439522, -0.017064163461327553, -0.02762080542743206, -0.034094955772161484, -0.0742858424782753, -0.10062739253044128, -0.1189596876502037, -0.13613508641719818]