{"run":{"run_id":"712147","uploader":"1","uploader_name":"Jan van Rijn","task_id":"54591","task_type":"Subgroup Discovery","flow_id":"4221","flow_name":"SubgroupDiscovery(1)","setup_id":"7718","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\":\"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\":\"128\",\"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":"bins","component":"4221"},{"name":"nr_bins","value":"128","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":"1063","name":"kc2","url":"https:\/\/www.openml.org\/data\/download\/53946\/kc2.arff"}},"output_data":{"file":[{"did":"-1","file_id":"2298804","name":"description","url":"https:\/\/www.openml.org\/data\/download\/2298804\/run1726257475634371893.xml"},{"did":"-1","file_id":"2298805","name":"subgroups","url":"https:\/\/www.openml.org\/data\/download\/2298805\/subgroups7288288676059695295.csv"}],"evaluation":[{"name":"cortana_quality","value":"0.6064407","array_data":"[0.6064407, 0.5965094, 0.5940998, 0.5922756, 0.5895733, 0.5895733, 0.5892805, 0.5868708, 0.5862854, 0.584754, 0.5826371, 0.5826371, 0.5814661, 0.5811733, 0.5802274, 0.5793492, 0.5790564, 0.5786961, 0.5781781, 0.5775251, 0.5772323, 0.5772323, 0.5772323, 0.5769395, 0.5759937, 0.5757009, 0.5754082, 0.5751154, 0.5751154, 0.5751154, 0.5751154, 0.5748227, 0.5748227, 0.572413, 0.572413, 0.5718275, 0.5697106, 0.5697106, 0.5697106, 0.5697106, 0.5675938, 0.5675938, 0.5654768, 0.5654768, 0.5649589, 0.5648913, 0.5648913, 0.5645986, 0.564531, 0.5636528, 0.56336, 0.56336, 0.5624142, 0.5621889, 0.5621889, 0.5621889, 0.5621889, 0.5618962, 0.5618286, 0.5612431, 0.5612431, 0.5612431, 0.5606576, 0.5602973, 0.5602973, 0.5600721, 0.5600721, 0.5600721, 0.5600721, 0.5600045, 0.5594866, 0.559419, 0.5591262, 0.5588335, 0.5586083, 0.5579552, 0.5575948, 0.5573696, 0.5570093, 0.5570093, 0.5570093, 0.5570093, 0.5564914, 0.5558383, 0.5558383, 0.555478, 0.5554104, 0.5553203, 0.5551852, 0.5551852, 0.5551852, 0.5551852, 0.5548925, 0.5548925, 0.5548925, 0.5548925, 0.5548925, 0.5548249, 0.5543069, 0.5540817]"},{"name":"coverage","value":"163","array_data":"[163, 172, 173, 164, 170, 170, 175, 176, 186, 172, 168, 168, 188, 193, 169, 184, 189, 155, 204, 175, 180, 180, 180, 185, 161, 166, 171, 176, 176, 176, 176, 181, 181, 182, 182, 192, 188, 188, 188, 188, 184, 184, 180, 180, 229, 190, 190, 195, 156, 171, 176, 176, 152, 196, 196, 196, 196, 201, 162, 172, 172, 172, 182, 148, 148, 192, 192, 192, 192, 153, 202, 163, 168, 173, 217, 188, 154, 198, 164, 164, 164, 164, 213, 184, 184, 150, 111, 233, 155, 155, 155, 155, 160, 160, 160, 160, 160, 121, 170, 214]"},{"name":"positives","value":"85","array_data":"[85, 86, 86, 84, 85, 85, 86, 86, 88, 85, 84, 84, 88, 89, 84, 87, 88, 81, 91, 85, 86, 86, 86, 87, 82, 83, 84, 85, 85, 85, 85, 86, 86, 86, 86, 88, 87, 87, 87, 87, 86, 86, 85, 85, 95, 87, 87, 88, 80, 83, 84, 84, 79, 88, 88, 88, 88, 89, 81, 83, 83, 83, 85, 78, 78, 87, 87, 87, 87, 79, 89, 81, 82, 83, 92, 86, 79, 88, 81, 81, 81, 81, 91, 85, 85, 78, 70, 95, 79, 79, 79, 79, 80, 80, 80, 80, 80, 72, 82, 91]"},{"name":"probability","value":"0.5214724","array_data":"[0.5214724, 0.5, 0.4971098, 0.5121951, 0.5, 0.5, 0.4914286, 0.4886364, 0.4731183, 0.494186, 0.5, 0.5, 0.4680851, 0.4611399, 0.4970414, 0.4728261, 0.4656085, 0.5225806, 0.4460784, 0.4857143, 0.4777778, 0.4777778, 0.4777778, 0.4702703, 0.5093168, 0.5, 0.4912281, 0.4829545, 0.4829545, 0.4829545, 0.4829545, 0.4751381, 0.4751381, 0.4725275, 0.4725275, 0.4583333, 0.462766, 0.462766, 0.462766, 0.462766, 0.4673913, 0.4673913, 0.4722222, 0.4722222, 0.4148472, 0.4578947, 0.4578947, 0.4512821, 0.5128205, 0.4853801, 0.4772727, 0.4772727, 0.5197368, 0.4489796, 0.4489796, 0.4489796, 0.4489796, 0.4427861, 0.5, 0.4825581, 0.4825581, 0.4825581, 0.467033, 0.527027, 0.527027, 0.453125, 0.453125, 0.453125, 0.453125, 0.5163399, 0.4405941, 0.4969325, 0.4880952, 0.4797688, 0.4239631, 0.4574468, 0.512987, 0.4444444, 0.4939024, 0.4939024, 0.4939024, 0.4939024, 0.42723, 0.4619565, 0.4619565, 0.52, 0.6306306, 0.4077253, 0.5096774, 0.5096774, 0.5096774, 0.5096774, 0.5, 0.5, 0.5, 0.5, 0.5, 0.5950413, 0.4823529, 0.4252336]"},{"name":"joint_entropy","value":"2.9632494480036806"},{"name":"pattern_team_auroc10","value":"0.8392410764553541"}]}}}