56243
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":"4","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
=
4221
overall_ranking_loss
0.0
4221
post_processing_do_autorun
true
4221
search_depth
4
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)
392
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quality
openml.evaluation.quality(1.0)
0.7886108160018921
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probability
openml.evaluation.probability(1.0)
0.3877551020408163
[0.3877551020408163, 0.3911917098445596, 0.391644908616188, 0.5982142857142857, 0.3962765957446808, 0.46254071661237783, 0.37254901960784315, 0.36982968369829683, 0.3671497584541063, 0.4016393442622951, 0.37220843672456577, 0.393048128342246, 0.6548223350253807, 0.42058823529411765, 0.3578199052132701, 0.3605769230769231, 0.38219895287958117, 0.381201044386423, 0.36633663366336633, 0.45394736842105265, 0.44126984126984126, 0.3581730769230769, 0.3693467336683417, 0.33853006681514475, 0.34965034965034963, 0.3961218836565097, 0.35224586288416077, 0.3318777292576419, 0.5057471264367817, 0.329004329004329, 0.36895674300254455, 0.33783783783783783, 0.38904109589041097, 0.4057971014492754, 0.3711340206185567, 0.35083532219570407, 0.3363431151241535, 0.37866666666666665, 0.32679738562091504, 0.40350877192982454, 0.4664310954063604, 0.3178947368421053, 0.3084677419354839, 0.4133738601823708, 0.3310810810810811, 0.338785046728972, 0.3033932135728543, 0.4078549848942598, 0.3596938775510204, 0.33410138248847926, 0.3687002652519894, 0.3356643356643357, 0.36675461741424803, 0.3244444444444444, 0.36578947368421055, 0.29366602687140114, 0.3097713097713098, 0.2849264705882353, 0.2919847328244275, 0.3317972350230415, 0.315450643776824, 0.3302752293577982, 0.38202247191011235, 0.2897727272727273, 0.30060120240480964, 0.3047034764826176, 0.3788300835654596, 0.38243626062322944, 0.6763005780346821, 0.4618181818181818, 0.3431372549019608, 0.3605263157894737, 0.29740518962075846, 0.46494464944649444, 0.43389830508474575, 0.401840490797546, 0.28846153846153844, 0.4266666666666667, 0.30655391120507397, 0.3004115226337449, 0.3543307086614173, 0.35340314136125656, 0.29958677685950413, 0.3325301204819277, 0.2645051194539249, 0.29835390946502055, 0.4150326797385621, 0.2755474452554745, 0.2704626334519573, 0.26138279932546377, 0.2829827915869981, 0.33171912832929784, 0.2819047619047619, 0.2627986348122867, 0.2923387096774194, 0.358695652173913, 0.3659217877094972, 0.3816568047337278, 0.291497975708502, 0.3589041095890411]
positives
openml.evaluation.positives(1.0)
152
[152, 151, 150, 134, 149, 142, 152, 152, 152, 147, 150, 147, 129, 143, 151, 150, 146, 146, 148, 138, 139, 149, 147, 152, 150, 143, 149, 152, 132, 152, 145, 150, 142, 140, 144, 147, 149, 142, 150, 138, 132, 151, 153, 136, 147, 145, 152, 135, 141, 145, 139, 144, 139, 146, 139, 153, 149, 155, 153, 144, 147, 144, 136, 153, 150, 149, 136, 135, 117, 127, 140, 137, 149, 126, 128, 131, 150, 128, 145, 146, 135, 135, 145, 138, 155, 145, 127, 151, 152, 155, 148, 137, 148, 154, 145, 132, 131, 129, 144, 131]
cortana_quality
openml.evaluation.cortana_quality(1.0)
0.7886108160018921
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