{"run":{"run_id":"902398","uploader":"1","uploader_name":"Jan van Rijn","task_id":"55035","task_type":"Subgroup Discovery","flow_id":"4221","flow_name":"SubgroupDiscovery(1)","setup_id":"7928","error":[],"setup_string":"{\"overall_ranking_loss\":\"0.0\",\"post_processing_count\":\"20\",\"search_depth\":\"2\",\"maximum_time\":\"1.0\",\"search_strategy_width\":\"1\",\"numeric_strategy\":\"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":"2","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":"1","component":"4221"},{"name":"numeric_operators","value":"≤, ≥<\/html>","component":"4221"},{"name":"numeric_strategy","value":"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":"2679313","name":"description","url":"https:\/\/www.openml.org\/data\/download\/2679313\/run3107936130323393824.xml"},{"did":"-1","file_id":"2679314","name":"subgroups","url":"https:\/\/www.openml.org\/data\/download\/2679314\/subgroups2366410453334199442.csv"}],"evaluation":[{"name":"cortana_quality","value":"0.7563131","array_data":"[0.7563131, 0.7531565, 0.7531565, 0.7518939, 0.75, 0.7468435, 0.7468435, 0.7449495, 0.7443182, 0.7443182, 0.7436869, 0.7424242, 0.7424242, 0.739899, 0.7373737, 0.7310606, 0.7310606, 0.727904, 0.7152778, 0.7146465, 0.7127525, 0.6919192, 0.6830808, 0.6818182, 0.6811869, 0.6799242, 0.6799242, 0.6786616, 0.6704546, 0.665404, 0.6628788, 0.6622475, 0.6603535, 0.6477273, 0.636995, 0.6300505, 0.6300505, 0.6231061, 0.6199495, 0.614899, 0.6136364, 0.6073232, 0.602904, 0.6016414, 0.5637626, 0.5561869, 0.5536616, 0.5454546, 0.5340909, 0.5277778, 0.5126263, 0.5050505, 0.5050505, 0.5037879, 0.5031565, 0.5018939, 0.5006313, 0.5, 0.4993687, 0.4974748, 0.4955808, 0.4943182, 0.4936869, 0.4930556, 0.4886364, 0.4873737, 0.4861111, 0.4861111, 0.4854798, 0.4848485, 0.4835859, 0.4816919, 0.4810606, 0.4791667, 0.4747475, 0.4728535, 0.4722222, 0.4703283, 0.469697, 0.4684343, 0.467803, 0.467803, 0.4652778, 0.457702, 0.4520202, 0.4488636, 0.4425505, 0.4349748, 0.4343434, 0.4330808, 0.4280303, 0.427399, 0.4191919, 0.4185606, 0.4141414, 0.4103535, 0.4084596, 0.4059343, 0.3882576, 0.3768939]"},{"name":"coverage","value":"402","array_data":"[402, 407, 407, 409, 412, 417, 417, 420, 421, 421, 422, 424, 424, 428, 432, 442, 442, 447, 467, 468, 471, 404, 418, 420, 421, 523, 423, 425, 438, 446, 450, 451, 454, 474, 491, 402, 402, 413, 418, 426, 428, 538, 445, 447, 407, 619, 423, 436, 754, 464, 788, 800, 800, 802, 803, 405, 807, 808, 409, 812, 415, 817, 418, 819, 826, 828, 830, 830, 831, 832, 834, 837, 838, 841, 848, 851, 852, 855, 856, 858, 859, 859, 863, 875, 884, 889, 899, 911, 512, 814, 822, 923, 936, 437, 844, 850, 953, 857, 885, 803]"},{"name":"positives","value":"16","array_data":"[16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 15, 15, 15, 15, 16, 15, 15, 15, 15, 15, 15, 15, 15, 15, 14, 14, 14, 14, 14, 14, 15, 14, 14, 13, 15, 13, 13, 16, 13, 16, 16, 16, 16, 16, 12, 16, 16, 12, 16, 12, 16, 12, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 12, 15, 15, 16, 16, 11, 15, 15, 16, 15, 15, 14]"},{"name":"probability","value":"0.039801","array_data":"[0.039801, 0.039312, 0.039312, 0.0391198, 0.038835, 0.0383693, 0.0383693, 0.0380952, 0.0380048, 0.0380048, 0.0379147, 0.0377358, 0.0377358, 0.0373832, 0.037037, 0.0361991, 0.0361991, 0.0357942, 0.0342612, 0.034188, 0.0339703, 0.0371287, 0.0358852, 0.0357143, 0.0356295, 0.0305927, 0.035461, 0.0352941, 0.0342466, 0.0336323, 0.0333333, 0.0332594, 0.0330396, 0.0316456, 0.0305499, 0.0348259, 0.0348259, 0.0338983, 0.0334928, 0.0328638, 0.0327103, 0.027881, 0.0314607, 0.0313199, 0.031941, 0.0242326, 0.0307329, 0.0298165, 0.0212202, 0.0280172, 0.0203046, 0.02, 0.02, 0.0199501, 0.0199253, 0.0296296, 0.0198265, 0.019802, 0.0293399, 0.0197044, 0.0289157, 0.0195838, 0.0287081, 0.019536, 0.0193705, 0.0193237, 0.0192771, 0.0192771, 0.0192539, 0.0192308, 0.0191847, 0.0191159, 0.0190931, 0.019025, 0.0188679, 0.0188014, 0.0187793, 0.0187135, 0.0186916, 0.018648, 0.0186263, 0.0186263, 0.01854, 0.0182857, 0.0180995, 0.0179978, 0.0177976, 0.0175631, 0.0234375, 0.0184275, 0.0182482, 0.0173348, 0.017094, 0.0251716, 0.0177725, 0.0176471, 0.0167891, 0.0175029, 0.0169492, 0.0174346]"},{"name":"joint_entropy","value":"8.417006515118743"},{"name":"pattern_team_auroc10","value":"0.7525252525252525"}]}}}