{"run":{"run_id":"699637","uploader":"1","uploader_name":"Jan van Rijn","task_id":"55347","task_type":"Subgroup Discovery","flow_id":"4221","flow_name":"SubgroupDiscovery(1)","setup_id":"7704","error":[],"setup_string":"{\"overall_ranking_loss\":\"0.0\",\"post_processing_count\":\"20\",\"search_depth\":\"1\",\"maximum_time\":\"1.0\",\"search_strategy_width\":\"16\",\"numeric_strategy\":\"best-bins\",\"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\":\"2\",\"maximum_subgroups\":\"100\"}","parameter_setting":[{"name":"search_depth","value":"1","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":"16","component":"4221"},{"name":"numeric_operators","value":"≤, ≥<\/html>","component":"4221"},{"name":"numeric_strategy","value":"best-bins","component":"4221"},{"name":"nr_bins","value":"2","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":"1491","name":"one-hundred-plants-margin","url":"https:\/\/www.openml.org\/data\/download\/1592283\/phpCsX3fx"}},"output_data":{"file":[{"did":"-1","file_id":"2273784","name":"description","url":"https:\/\/www.openml.org\/data\/download\/2273784\/run4284763063353882388.xml"},{"did":"-1","file_id":"2273785","name":"subgroups","url":"https:\/\/www.openml.org\/data\/download\/2273785\/subgroups4620011357764949892.csv"}],"evaluation":[{"name":"cortana_quality","value":"0.5050505","array_data":"[0.5050505, 0.5050505, 0.5037879, 0.5031565, 0.4816919, 0.4728535, 0.467803, 0.467803, 0.4665404, 0.4621212, 0.457702, 0.4551768, 0.4425505, 0.4393939, 0.4280303, 0.425505, 0.4229798, 0.4109848, 0.4097222, 0.4084596, 0.407197, 0.3743687, 0.3705808, 0.3699495, 0.3579545, 0.3516414, 0.3484848, 0.3358586, 0.3125, 0.3118687, 0.3118687, 0.3087121, 0.3036616, 0.2796717, 0.2518939, 0.2506313, 0.2474747, 0.2335859, 0.2209596, 0.2108586, 0.1849747, 0.1786616, 0.1717172, 0.1691919, 0.1565657, 0.1527778, 0.1414141, 0.1357323, 0.1262626, 0.1174242, 0.1117424, 0.1035354, 0.0997475, 0.0965909, 0.0833333, 0.0593434, 0.0498737, 0.0435606, 0.040404, 0.0391414, 0.0372475, 0.0372475, 0.0151515, -0.0018939, -0.0606061, -0.0643939, -0.0688131, -0.0770202, -0.0776515, -0.0833333, -0.084596, -0.084596, -0.0877525, -0.0890151, -0.0909091, -0.1079545, -0.1193182, -0.125, -0.1281566, -0.1306818, -0.1363636, -0.1382576, -0.1401515, -0.1515152, -0.1660354, -0.1950758, -0.2083333, -0.2133838, -0.2247475, -0.2582071, -0.2834596, -0.2891414, -0.3276515, -0.3295455, -0.3617424, -0.3686869, -0.3718434, -0.3863636, -0.3939394, -0.4122475]"},{"name":"coverage","value":"800","array_data":"[800, 800, 802, 803, 837, 851, 859, 859, 861, 868, 875, 879, 899, 804, 822, 826, 830, 849, 851, 953, 855, 807, 813, 814, 833, 843, 848, 868, 1105, 806, 806, 911, 1019, 857, 801, 803, 808, 830, 850, 866, 1107, 817, 828, 832, 852, 858, 976, 885, 1100, 814, 923, 936, 842, 847, 1468, 906, 821, 831, 836, 938, 841, 841, 1576, 803, 996, 1302, 909, 822, 823, 832, 834, 834, 839, 841, 844, 1071, 889, 1098, 803, 807, 916, 819, 922, 840, 863, 809, 830, 838, 856, 909, 849, 858, 919, 922, 873, 884, 989, 812, 824, 853]"},{"name":"positives","value":"16","array_data":"[16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 15, 15, 15, 15, 15, 15, 16, 15, 14, 14, 14, 14, 14, 14, 14, 16, 13, 13, 14, 15, 13, 12, 12, 12, 12, 12, 12, 14, 11, 11, 11, 11, 11, 12, 11, 13, 10, 11, 11, 10, 10, 16, 10, 9, 9, 9, 10, 9, 9, 16, 8, 9, 12, 8, 7, 7, 7, 7, 7, 7, 7, 7, 9, 7, 9, 6, 6, 7, 6, 7, 6, 6, 5, 5, 5, 5, 5, 4, 4, 4, 4, 3, 3, 4, 2, 2, 2]"},{"name":"probability","value":"0.02","array_data":"[0.02, 0.02, 0.0199501, 0.0199253, 0.0191159, 0.0188014, 0.0186263, 0.0186263, 0.018583, 0.0184332, 0.0182857, 0.0182025, 0.0177976, 0.0186567, 0.0182482, 0.0181598, 0.0180723, 0.0176678, 0.0176263, 0.0167891, 0.0175439, 0.0173482, 0.0172202, 0.017199, 0.0168067, 0.0166074, 0.0165094, 0.016129, 0.0144796, 0.016129, 0.016129, 0.0153677, 0.0147203, 0.0151692, 0.0149813, 0.014944, 0.0148515, 0.0144578, 0.0141176, 0.0138568, 0.0126468, 0.0134639, 0.013285, 0.0132212, 0.0129108, 0.0128205, 0.0122951, 0.0124294, 0.0118182, 0.012285, 0.0119177, 0.0117521, 0.0118765, 0.0118064, 0.0108992, 0.0110375, 0.0109622, 0.0108303, 0.0107656, 0.010661, 0.0107015, 0.0107015, 0.0101523, 0.0099626, 0.0090361, 0.0092166, 0.0088009, 0.0085158, 0.0085055, 0.0084135, 0.0083933, 0.0083933, 0.0083433, 0.0083234, 0.0082938, 0.0084034, 0.007874, 0.0081967, 0.007472, 0.0074349, 0.0076419, 0.007326, 0.0075922, 0.0071429, 0.0069525, 0.0061805, 0.0060241, 0.0059666, 0.0058411, 0.0055006, 0.0047114, 0.004662, 0.0043526, 0.0043384, 0.0034364, 0.0033937, 0.0040445, 0.0024631, 0.0024272, 0.0023447]"},{"name":"joint_entropy","value":"8.785616265203762"},{"name":"pattern_team_auroc10","value":"0.7525252525252525"}]}}}