{"run":{"run_id":"1304677","uploader":"1","uploader_name":"Jan van Rijn","task_id":"54467","task_type":"Subgroup Discovery","flow_id":"4221","flow_name":"SubgroupDiscovery(1)","setup_id":"8370","error":[],"setup_string":"{\"overall_ranking_loss\":\"0.0\",\"post_processing_count\":\"20\",\"search_depth\":\"3\",\"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":"3","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":"470","name":"profb","url":"https:\/\/www.openml.org\/data\/download\/52582\/profb.arff"}},"output_data":{"file":[{"did":"-1","file_id":"3493435","name":"description","url":"https:\/\/www.openml.org\/data\/download\/3493435\/run5574605560359461525.xml"},{"did":"-1","file_id":"3493436","name":"subgroups","url":"https:\/\/www.openml.org\/data\/download\/3493436\/subgroups7358344929340824183.csv"}],"evaluation":[{"name":"cortana_quality","value":"0.2388393","array_data":"[0.2388393, 0.234375, 0.2299107, 0.2276786, 0.2232143, 0.2209821, 0.21875, 0.2120536, 0.2098214, 0.2053571, 0.1941964, 0.1941964, 0.1919643, 0.1852679, 0.1852679, 0.1830357, 0.1830357, 0.1808036, 0.1785714, 0.1741071, 0.1741071, 0.1741071, 0.1741071, 0.171875, 0.1607143, 0.15625, 0.15625, 0.1517857, 0.1495536, 0.1495536, 0.1473214, 0.1473214, 0.1450893, 0.1428571, 0.140625, 0.140625, 0.140625, 0.1383929, 0.1361607, 0.1361607, 0.1316964, 0.1316964, 0.1294643, 0.1294643, 0.1272321, 0.125, 0.125, 0.125, 0.125, 0.125, 0.125, 0.125, 0.125, 0.1227679, 0.1227679, 0.1205357, 0.1205357, 0.1205357, 0.1205357, 0.1205357, 0.1183036, 0.1183036, 0.1183036, 0.1183036, 0.1183036, 0.1160714, 0.1138393, 0.1138393, 0.109375, 0.109375, 0.1071429, 0.1071429, 0.1071429, 0.1071429, 0.1071429, 0.1049107, 0.1026786, 0.1026786, 0.1026786, 0.1026786, 0.1004464, 0.1004464, 0.1004464, 0.0982143, 0.0959821, 0.0959821, 0.0959821, 0.0959821, 0.09375, 0.09375, 0.0915179, 0.0915179, 0.0892857, 0.0892857, 0.0892857, 0.0892857, 0.0892857, 0.0892857, 0.0892857, 0.0892857]"},{"name":"coverage","value":"361","array_data":"[361, 345, 179, 201, 188, 168, 235, 292, 224, 280, 132, 132, 154, 229, 193, 239, 116, 162, 145, 201, 132, 99, 93, 106, 192, 200, 158, 166, 122, 119, 165, 111, 187, 188, 192, 138, 102, 115, 251, 134, 175, 106, 164, 98, 165, 238, 193, 172, 157, 115, 112, 91, 85, 182, 101, 204, 198, 114, 102, 96, 178, 148, 136, 136, 97, 167, 201, 120, 125, 107, 312, 186, 135, 123, 102, 115, 134, 110, 110, 59, 150, 114, 102, 121, 218, 125, 92, 92, 336, 135, 130, 88, 230, 197, 146, 137, 134, 107, 104, 98]"},{"name":"positives","value":"156","array_data":"[156, 150, 94, 101, 96, 89, 111, 129, 106, 124, 73, 73, 80, 104, 92, 107, 66, 81, 75, 93, 70, 59, 57, 61, 88, 90, 76, 78, 63, 62, 77, 59, 84, 84, 85, 67, 55, 59, 104, 65, 78, 55, 74, 52, 74, 98, 83, 76, 71, 57, 56, 49, 47, 79, 52, 86, 84, 56, 52, 50, 77, 67, 63, 63, 50, 73, 84, 57, 58, 52, 120, 78, 61, 57, 50, 54, 60, 52, 52, 35, 65, 53, 49, 55, 87, 56, 45, 45, 126, 59, 57, 43, 90, 79, 62, 59, 58, 49, 48, 46]"},{"name":"probability","value":"0.432133","array_data":"[0.432133, 0.4347826, 0.5251397, 0.5024876, 0.5106383, 0.5297619, 0.4723404, 0.4417808, 0.4732143, 0.4428571, 0.5530303, 0.5530303, 0.5194805, 0.4541485, 0.4766839, 0.4476987, 0.5689655, 0.5, 0.5172414, 0.4626866, 0.530303, 0.5959596, 0.6129032, 0.5754717, 0.4583333, 0.45, 0.4810127, 0.4698795, 0.5163934, 0.5210084, 0.4666667, 0.5315315, 0.4491979, 0.4468085, 0.4427083, 0.4855072, 0.5392157, 0.5130435, 0.4143426, 0.4850746, 0.4457143, 0.5188679, 0.4512195, 0.5306122, 0.4484848, 0.4117647, 0.4300518, 0.4418605, 0.4522293, 0.4956522, 0.5, 0.5384615, 0.5529412, 0.4340659, 0.5148515, 0.4215686, 0.4242424, 0.4912281, 0.5098039, 0.5208333, 0.4325843, 0.4527027, 0.4632353, 0.4632353, 0.5154639, 0.4371257, 0.4179104, 0.475, 0.464, 0.4859813, 0.3846154, 0.4193548, 0.4518519, 0.4634146, 0.4901961, 0.4695652, 0.4477612, 0.4727273, 0.4727273, 0.5932203, 0.4333333, 0.4649123, 0.4803922, 0.4545455, 0.3990826, 0.448, 0.4891304, 0.4891304, 0.375, 0.437037, 0.4384615, 0.4886364, 0.3913043, 0.4010152, 0.4246575, 0.4306569, 0.4328358, 0.4579439, 0.4615385, 0.4693878]"},{"name":"joint_entropy","value":"5.695080805052302"},{"name":"pattern_team_auroc10","value":"0.6297433035714285"}]}}}