{"run":{"run_id":"1788513","uploader":"1","uploader_name":"Jan van Rijn","task_id":"53747","task_type":"Subgroup Discovery","flow_id":"4221","flow_name":"SubgroupDiscovery(1)","setup_id":"8868","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\":\"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\":\"32\",\"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":"bins","component":"4221"},{"name":"nr_bins","value":"32","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":"183","name":"abalone","url":"https:\/\/www.openml.org\/data\/download\/3620\/dataset_187_abalone.arff"}},"output_data":{"file":[{"did":"-1","file_id":"4490263","name":"description","url":"https:\/\/www.openml.org\/data\/download\/4490263\/run4710281419700795977.xml"},{"did":"-1","file_id":"4490264","name":"subgroups","url":"https:\/\/www.openml.org\/data\/download\/4490264\/subgroups3319619108696817312.csv"}],"evaluation":[{"name":"cortana_quality","value":"0.4733921","array_data":"[0.4733921, 0.4729314, 0.4719641, 0.4713249, 0.4702482, 0.4698739, 0.4689296, 0.4686877, 0.4686647, 0.4685783, 0.4684229, 0.468181, 0.4678528, 0.4678528, 0.4676974, 0.467611, 0.4674555, 0.4674555, 0.4674555, 0.4674555, 0.4672137, 0.4671273, 0.4670179, 0.4669718, 0.4669718, 0.4669718, 0.4669718, 0.4669718, 0.4669718, 0.4669718, 0.4669718, 0.4669718, 0.4669718, 0.4669718, 0.4669718, 0.4669718, 0.4669718, 0.4669718, 0.4669718, 0.4669718, 0.4669718, 0.4669718, 0.4669718, 0.4669718, 0.4669718, 0.4669718, 0.4669718, 0.4669718, 0.4669718, 0.4669718, 0.4668855, 0.46673, 0.46673, 0.4665342, 0.4664882, 0.4664882, 0.4664018, 0.4662694, 0.4662463, 0.46616, 0.46616, 0.4660045, 0.4659181, 0.4655438, 0.4655208, 0.4648414, 0.4648183, 0.4647089, 0.4647089, 0.4647089, 0.4647089, 0.4647089, 0.4647089, 0.4647089, 0.4644671, 0.4643577, 0.4639834, 0.4639834, 0.4637416, 0.4636322, 0.4636091, 0.4634998, 0.4634767, 0.4634767, 0.4634767, 0.4634767, 0.4634767, 0.4633673, 0.4632579, 0.4632349, 0.4632349, 0.4631485, 0.4630161, 0.4630161, 0.4630161, 0.462993, 0.4628836, 0.4627973, 0.4626418, 0.4626418]"},{"name":"coverage","value":"1225","array_data":"[1225, 1028, 1032, 1333, 1238, 1339, 1144, 1145, 1344, 1046, 1345, 1346, 1049, 1049, 1348, 1050, 1349, 1349, 1349, 1349, 1350, 1052, 953, 1351, 1351, 1351, 1351, 1351, 1351, 1351, 1351, 1351, 1351, 1351, 1351, 1351, 1351, 1351, 1351, 1351, 1351, 1351, 1351, 1351, 1351, 1351, 1351, 1351, 1351, 1351, 1053, 1352, 1352, 955, 1353, 1353, 1055, 1155, 1354, 1056, 1056, 1355, 1057, 1158, 1357, 962, 1161, 1062, 1062, 1062, 1062, 1062, 1062, 1062, 1063, 964, 1065, 1065, 1066, 967, 1166, 1067, 1266, 1266, 1266, 1266, 1266, 1167, 1068, 1267, 1267, 969, 1069, 1069, 1069, 1268, 1169, 871, 1170, 1170]"},{"name":"positives","value":"32","array_data":"[32, 30, 30, 33, 32, 33, 31, 31, 33, 30, 33, 33, 30, 30, 33, 30, 33, 33, 33, 33, 33, 30, 29, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 33, 30, 33, 33, 29, 33, 33, 30, 31, 33, 30, 30, 33, 30, 31, 33, 29, 31, 30, 30, 30, 30, 30, 30, 30, 30, 29, 30, 30, 30, 29, 31, 30, 32, 32, 32, 32, 32, 31, 30, 32, 32, 29, 30, 30, 30, 32, 31, 28, 31, 31]"},{"name":"probability","value":"0.0261224","array_data":"[0.0261224, 0.0291829, 0.0290698, 0.0247562, 0.0258481, 0.0246453, 0.0270979, 0.0270742, 0.0245536, 0.0286807, 0.0245353, 0.0245171, 0.0285987, 0.0285987, 0.0244807, 0.0285714, 0.0244626, 0.0244626, 0.0244626, 0.0244626, 0.0244444, 0.0285171, 0.0304302, 0.0244264, 0.0244264, 0.0244264, 0.0244264, 0.0244264, 0.0244264, 0.0244264, 0.0244264, 0.0244264, 0.0244264, 0.0244264, 0.0244264, 0.0244264, 0.0244264, 0.0244264, 0.0244264, 0.0244264, 0.0244264, 0.0244264, 0.0244264, 0.0244264, 0.0244264, 0.0244264, 0.0244264, 0.0244264, 0.0244264, 0.0244264, 0.02849, 0.0244083, 0.0244083, 0.0303665, 0.0243902, 0.0243902, 0.028436, 0.0268398, 0.0243722, 0.0284091, 0.0284091, 0.0243542, 0.0283822, 0.0267703, 0.0243183, 0.0301455, 0.0267011, 0.0282486, 0.0282486, 0.0282486, 0.0282486, 0.0282486, 0.0282486, 0.0282486, 0.028222, 0.030083, 0.028169, 0.028169, 0.0281426, 0.0299897, 0.0265866, 0.0281162, 0.0252765, 0.0252765, 0.0252765, 0.0252765, 0.0252765, 0.0265638, 0.0280899, 0.0252565, 0.0252565, 0.0299278, 0.0280636, 0.0280636, 0.0280636, 0.0252366, 0.0265184, 0.032147, 0.0264957, 0.0264957]"},{"name":"quality","value":"0.4733920693397522","array_data":"[0.4733920693397522, 0.4729314148426056, 0.4719640612602234, 0.4713249206542969, 0.47024816274642944, 0.46987390518188477, 0.46892958879470825, 0.4686877429485321, 0.4686647057533264, 0.4685783386230469, 0.46842285990715027, 0.4681810438632965, 0.4678528308868408, 0.4678528308868408, 0.4676973521709442, 0.4676109850406647, 0.46745550632476807, 0.46745550632476807, 0.46745550632476807, 0.46745550632476807, 0.4672136902809143, 0.46712732315063477, 0.46701791882514954, 0.46697184443473816, 0.46697184443473816, 0.46697184443473816, 0.46697184443473816, 0.46697184443473816, 0.46697184443473816, 0.46697184443473816, 0.46697184443473816, 0.46697184443473816, 0.46697184443473816, 0.46697184443473816, 0.46697184443473816, 0.46697184443473816, 0.46697184443473816, 0.46697184443473816, 0.46697184443473816, 0.46697184443473816, 0.46697184443473816, 0.46697184443473816, 0.46697184443473816, 0.46697184443473816, 0.46697184443473816, 0.46697184443473816, 0.46697184443473816, 0.46697184443473816, 0.46697184443473816, 0.46697184443473816, 0.4668854773044586, 0.466729998588562, 0.466729998588562, 0.46653422713279724, 0.46648815274238586, 0.46648815274238586, 0.4664017856121063, 0.4662693738937378, 0.4662463366985321, 0.46615996956825256, 0.46615996956825256, 0.46600449085235596, 0.4659181237220764, 0.46554383635520935, 0.46552082896232605, 0.464841365814209, 0.4648183286190033, 0.46470892429351807, 0.46470892429351807, 0.46470892429351807, 0.46470892429351807, 0.46470892429351807, 0.46470892429351807, 0.46470892429351807, 0.4644670784473419, 0.4643577039241791, 0.463983416557312, 0.463983416557312, 0.46374157071113586, 0.46363216638565063, 0.46360912919044495, 0.4634997546672821, 0.4634767174720764, 0.4634767174720764, 0.4634767174720764, 0.4634767174720764, 0.4634767174720764, 0.4633673131465912, 0.46325790882110596, 0.46323487162590027, 0.46323487162590027, 0.4631485044956207, 0.4630160629749298, 0.4630160629749298, 0.4630160629749298, 0.4629930257797241, 0.4628836214542389, 0.46279725432395935, 0.46264180541038513, 0.46264180541038513]"},{"name":"joint_entropy","value":"2.0068620775057058"},{"name":"pattern_team_auroc10","value":"0.7598894455000864"}]}}}