{"run":{"run_id":"1619283","uploader":"1","uploader_name":"Jan van Rijn","task_id":"53407","task_type":"Subgroup Discovery","flow_id":"4221","flow_name":"SubgroupDiscovery(1)","setup_id":"8759","error":[],"setup_string":"{\"overall_ranking_loss\":\"0.0\",\"post_processing_count\":\"20\",\"search_depth\":\"4\",\"maximum_time\":\"1.0\",\"search_strategy_width\":\"64\",\"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\":\"16\",\"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":"64","component":"4221"},{"name":"numeric_operators","value":"≤, ≥, =<\/html>","component":"4221"},{"name":"numeric_strategy","value":"bins","component":"4221"},{"name":"nr_bins","value":"16","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":"28","name":"optdigits","url":"https:\/\/www.openml.org\/data\/download\/28\/dataset_28_optdigits.arff"}},"output_data":{"file":[{"did":"-1","file_id":"4131808","name":"description","url":"https:\/\/www.openml.org\/data\/download\/4131808\/run314286255980121940.xml"},{"did":"-1","file_id":"4131809","name":"subgroups","url":"https:\/\/www.openml.org\/data\/download\/4131809\/subgroups8115313927414710125.csv"}],"evaluation":[{"name":"cortana_quality","value":"0.9636925","array_data":"[0.9636925, 0.9636925, 0.961957, 0.961957, 0.9616745, 0.9616745, 0.9605458, 0.9605458, 0.9605458, 0.9605458, 0.9603625, 0.9603625, 0.9603625, 0.9603625, 0.9603483, 0.9603483, 0.9591913, 0.9591913, 0.9591913, 0.9591913, 0.9587396, 0.9587396, 0.9587396, 0.9587396, 0.9585845, 0.9585845, 0.958387, 0.958387, 0.958387, 0.958387, 0.9580903, 0.9580903, 0.9579919, 0.9579919, 0.9579635, 0.9579635, 0.9579494, 0.9579494, 0.9575968, 0.9575968, 0.9575968, 0.9575968, 0.9575685, 0.9575685, 0.9575685, 0.9575685, 0.9573851, 0.9573851, 0.9573851, 0.9573851, 0.9573568, 0.9573568, 0.9571875, 0.9571875, 0.9571875, 0.9571875, 0.9571592, 0.9571592, 0.9570041, 0.9570041, 0.9567641, 0.9567641, 0.9565524, 0.9565524, 0.9565524, 0.9565524, 0.9563973, 0.9563973, 0.9563973, 0.9563973, 0.9563973, 0.9563973, 0.9561573, 0.9561573, 0.9559739, 0.9559739, 0.9559456, 0.9559456, 0.9558046, 0.9558046, 0.9558046, 0.9558046, 0.9557197, 0.9557197, 0.9556071, 0.9556071, 0.9556071, 0.9556071, 0.9555788, 0.9555788, 0.9554095, 0.9554095, 0.9554095, 0.9554095, 0.9552262, 0.9552262, 0.955212, 0.955212, 0.955212, 0.955212]"},{"name":"coverage","value":"631","array_data":"[631, 631, 670, 670, 611, 611, 657, 657, 657, 657, 668, 668, 668, 668, 658, 658, 684, 684, 684, 684, 646, 646, 646, 646, 677, 677, 678, 678, 678, 678, 609, 609, 680, 680, 660, 660, 650, 650, 682, 682, 682, 682, 662, 662, 662, 662, 673, 673, 673, 673, 653, 653, 674, 674, 674, 674, 654, 654, 685, 685, 656, 656, 647, 647, 647, 647, 678, 678, 678, 678, 678, 678, 649, 649, 660, 660, 640, 640, 681, 681, 681, 681, 621, 621, 682, 682, 682, 682, 662, 662, 683, 683, 683, 683, 694, 694, 684, 684, 684, 684]"},{"name":"positives","value":"547","array_data":"[547, 547, 550, 550, 544, 544, 548, 548, 548, 548, 549, 549, 549, 549, 548, 548, 550, 550, 550, 550, 546, 546, 546, 546, 549, 549, 549, 549, 549, 549, 542, 542, 549, 549, 547, 547, 546, 546, 549, 549, 549, 549, 547, 547, 547, 547, 548, 548, 548, 548, 546, 546, 548, 548, 548, 548, 546, 546, 549, 549, 546, 546, 545, 545, 545, 545, 548, 548, 548, 548, 548, 548, 545, 545, 546, 546, 544, 544, 548, 548, 548, 548, 542, 542, 548, 548, 548, 548, 546, 546, 548, 548, 548, 548, 549, 549, 548, 548, 548, 548]"},{"name":"probability","value":"0.866878","array_data":"[0.866878, 0.866878, 0.8208955, 0.8208955, 0.8903437, 0.8903437, 0.8340944, 0.8340944, 0.8340944, 0.8340944, 0.8218563, 0.8218563, 0.8218563, 0.8218563, 0.8328267, 0.8328267, 0.8040936, 0.8040936, 0.8040936, 0.8040936, 0.8452012, 0.8452012, 0.8452012, 0.8452012, 0.8109306, 0.8109306, 0.8097345, 0.8097345, 0.8097345, 0.8097345, 0.8899836, 0.8899836, 0.8073529, 0.8073529, 0.8287879, 0.8287879, 0.84, 0.84, 0.8049853, 0.8049853, 0.8049853, 0.8049853, 0.826284, 0.826284, 0.826284, 0.826284, 0.8142645, 0.8142645, 0.8142645, 0.8142645, 0.8361409, 0.8361409, 0.8130564, 0.8130564, 0.8130564, 0.8130564, 0.8348624, 0.8348624, 0.8014599, 0.8014599, 0.8323171, 0.8323171, 0.8423493, 0.8423493, 0.8423493, 0.8423493, 0.8082596, 0.8082596, 0.8082596, 0.8082596, 0.8082596, 0.8082596, 0.8397535, 0.8397535, 0.8272727, 0.8272727, 0.85, 0.85, 0.804699, 0.804699, 0.804699, 0.804699, 0.8727858, 0.8727858, 0.8035191, 0.8035191, 0.8035191, 0.8035191, 0.8247734, 0.8247734, 0.8023426, 0.8023426, 0.8023426, 0.8023426, 0.7910663, 0.7910663, 0.8011696, 0.8011696, 0.8011696, 0.8011696]"},{"name":"joint_entropy","value":"1.042134149984416"},{"name":"pattern_team_auroc10","value":"0.9847765839787354"}]}}}