{"run":{"run_id":"1775807","uploader":"1","uploader_name":"Jan van Rijn","task_id":"53887","task_type":"Subgroup Discovery","flow_id":"4221","flow_name":"SubgroupDiscovery(1)","setup_id":"8855","error":[],"setup_string":"{\"overall_ranking_loss\":\"0.0\",\"post_processing_count\":\"20\",\"search_depth\":\"4\",\"maximum_time\":\"1.0\",\"search_strategy_width\":\"1024\",\"numeric_strategy\":\"all\",\"numeric_operators\":\"≤, ≥<\\\/html>\",\"beta\":\"1.0\",\"minimum_coverage\":\"2\",\"nr_threads\":\"1\",\"search_strategy\":\"beam\",\"alpha\":\"0.5\",\"beam_seed\":\"\",\"use_nominal_sets\":\"false\",\"maximum_coverage_fraction\":\"1.0\",\"post_processing_do_autorun\":\"true\",\"nr_bins\":\"8\",\"maximum_subgroups\":\"100\"}","parameter_setting":[{"name":"search_depth","value":"4","component":"4221"},{"name":"minimum_coverage","value":"2","component":"4221"},{"name":"maximum_coverage_fraction","value":"1.0","component":"4221"},{"name":"maximum_subgroups","value":"100","component":"4221"},{"name":"maximum_time","value":"1.0","component":"4221"},{"name":"search_strategy","value":"beam","component":"4221"},{"name":"use_nominal_sets","value":"false","component":"4221"},{"name":"search_strategy_width","value":"1024","component":"4221"},{"name":"numeric_operators","value":"≤, ≥<\/html>","component":"4221"},{"name":"numeric_strategy","value":"all","component":"4221"},{"name":"nr_bins","value":"8","component":"4221"},{"name":"nr_threads","value":"1","component":"4221"},{"name":"alpha","value":"0.5","component":"4221"},{"name":"beta","value":"1.0","component":"4221"},{"name":"post_processing_do_autorun","value":"true","component":"4221"},{"name":"post_processing_count","value":"20","component":"4221"},{"name":"beam_seed","value":[],"component":"4221"},{"name":"overall_ranking_loss","value":"0.0","component":"4221"}],"tag":"Cortana","input_data":{"dataset":{"did":"300","name":"isolet","url":"https:\/\/www.openml.org\/data\/download\/52405\/phpB0xrNj"}},"output_data":{"file":[{"did":"-1","file_id":"4462728","name":"description","url":"https:\/\/www.openml.org\/data\/download\/4462728\/run6215946737224779727.xml"},{"did":"-1","file_id":"4462729","name":"subgroups","url":"https:\/\/www.openml.org\/data\/download\/4462729\/subgroups215747321770287418.csv"}],"evaluation":[{"name":"cortana_quality","value":"0.9129025","array_data":"[0.9129025, 0.9127691, 0.9126357, 0.9125023, 0.912369, 0.9122356, 0.9121022, 0.9119688, 0.9118354, 0.911702, 0.9114352, 0.9113019, 0.9110351, 0.9109017, 0.9107683, 0.9106349, 0.9105015, 0.9103681, 0.9102347, 0.9101027, 0.9101014, 0.9099693, 0.9098359, 0.9098346, 0.9097025, 0.9097012, 0.9095691, 0.9095678, 0.9094344, 0.909301, 0.9091676, 0.9090369, 0.9090343, 0.9089035, 0.9089009, 0.9087702, 0.9087675, 0.9086368, 0.9086341, 0.9085047, 0.9085034, 0.9083713, 0.90837, 0.9083673, 0.9082366, 0.9082339, 0.9081046, 0.9081032, 0.9079712, 0.9079698, 0.9079672, 0.9078378, 0.9078365, 0.9078338, 0.9077044, 0.9077031, 0.9077004, 0.907571, 0.9075697, 0.907567, 0.9074376, 0.9074363, 0.9074336, 0.9073042, 0.9073029, 0.9073002, 0.9071709, 0.9071695, 0.9071668, 0.9070375, 0.9070361, 0.9069041, 0.9069001, 0.9067707, 0.9067667, 0.9066373, 0.9066333, 0.9064999, 0.9063705, 0.9063665, 0.9062385, 0.9062372, 0.9062331, 0.9061051, 0.9061038, 0.9060998, 0.9059717, 0.9059704, 0.9059664, 0.9058383, 0.905837, 0.905833, 0.905705, 0.9057036, 0.9055662, 0.9054382, 0.9054328, 0.9053048, 0.9052994, 0.9051714]"},{"name":"coverage","value":"875","array_data":"[875, 876, 877, 878, 879, 880, 881, 882, 883, 884, 886, 887, 889, 890, 891, 892, 893, 894, 895, 870, 896, 871, 872, 898, 873, 899, 874, 900, 901, 902, 903, 852, 904, 853, 905, 854, 906, 855, 907, 830, 856, 831, 857, 909, 858, 910, 833, 859, 834, 860, 912, 835, 861, 913, 836, 862, 914, 837, 863, 915, 838, 864, 916, 839, 865, 917, 840, 866, 918, 841, 867, 842, 920, 843, 921, 844, 922, 923, 846, 924, 821, 847, 925, 822, 848, 926, 823, 849, 927, 824, 850, 928, 825, 851, 930, 827, 931, 828, 932, 829]"},{"name":"positives","value":"297","array_data":"[297, 297, 297, 297, 297, 297, 297, 297, 297, 297, 297, 297, 297, 297, 297, 297, 297, 297, 297, 296, 297, 296, 296, 297, 296, 297, 296, 297, 297, 297, 297, 295, 297, 295, 297, 295, 297, 295, 297, 294, 295, 294, 295, 297, 295, 297, 294, 295, 294, 295, 297, 294, 295, 297, 294, 295, 297, 294, 295, 297, 294, 295, 297, 294, 295, 297, 294, 295, 297, 294, 295, 294, 297, 294, 297, 294, 297, 297, 294, 297, 293, 294, 297, 293, 294, 297, 293, 294, 297, 293, 294, 297, 293, 294, 297, 293, 297, 293, 297, 293]"},{"name":"probability","value":"0.3394286","array_data":"[0.3394286, 0.3390411, 0.3386545, 0.3382688, 0.337884, 0.3375, 0.3371169, 0.3367347, 0.3363533, 0.3359729, 0.3352144, 0.3348365, 0.3340832, 0.3337079, 0.3333333, 0.3329596, 0.3325868, 0.3322148, 0.3318436, 0.3402299, 0.3314732, 0.3398393, 0.3394495, 0.330735, 0.3390607, 0.3303671, 0.3386728, 0.33, 0.3296337, 0.3292683, 0.3289037, 0.3462441, 0.3285398, 0.3458382, 0.3281768, 0.3454333, 0.3278146, 0.3450292, 0.3274531, 0.3542169, 0.3446262, 0.3537906, 0.344224, 0.3267327, 0.3438228, 0.3263736, 0.3529412, 0.3434226, 0.352518, 0.3430233, 0.3256579, 0.3520958, 0.3426249, 0.3253012, 0.3516746, 0.3422274, 0.3249453, 0.3512545, 0.3418308, 0.3245902, 0.3508353, 0.3414352, 0.3242358, 0.3504172, 0.3410405, 0.3238822, 0.35, 0.3406467, 0.3235294, 0.3495838, 0.3402537, 0.3491686, 0.3228261, 0.3487544, 0.3224756, 0.3483412, 0.3221258, 0.3217768, 0.3475177, 0.3214286, 0.3568819, 0.3471074, 0.3210811, 0.3564477, 0.3466981, 0.3207343, 0.3560146, 0.3462898, 0.3203883, 0.3555825, 0.3458824, 0.3200431, 0.3551515, 0.3454759, 0.3193548, 0.3542926, 0.3190118, 0.3538647, 0.3186695, 0.3534379]"},{"name":"joint_entropy","value":"0.6354816249996097"},{"name":"pattern_team_auroc10","value":"0.9592370281445911"}]}}}