{"run":{"run_id":"1503832","uploader":"1","uploader_name":"Jan van Rijn","task_id":"53407","task_type":"Subgroup Discovery","flow_id":"4221","flow_name":"SubgroupDiscovery(1)","setup_id":"8635","error":[],"setup_string":"{\"overall_ranking_loss\":\"0.0\",\"post_processing_count\":\"20\",\"search_depth\":\"4\",\"maximum_time\":\"1.0\",\"search_strategy_width\":\"4\",\"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\":\"64\",\"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":"4","component":"4221"},{"name":"numeric_operators","value":"≤, ≥<\/html>","component":"4221"},{"name":"numeric_strategy","value":"bins","component":"4221"},{"name":"nr_bins","value":"64","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":"3899300","name":"description","url":"https:\/\/www.openml.org\/data\/download\/3899300\/run3621786810968047006.xml"},{"did":"-1","file_id":"3899301","name":"subgroups","url":"https:\/\/www.openml.org\/data\/download\/3899301\/subgroups3261514564402974496.csv"}],"evaluation":[{"name":"cortana_quality","value":"0.9660915","array_data":"[0.9660915, 0.9652729, 0.9650895, 0.9639184, 0.9636925, 0.9635091, 0.963495, 0.9633257, 0.9633257, 0.9633116, 0.9626906, 0.9625214, 0.9619429, 0.9613219, 0.9611385, 0.9611385, 0.9605458, 0.9603625, 0.9603625, 0.9603483, 0.9601649, 0.9597557, 0.9595581, 0.9591772, 0.9591205, 0.9590922, 0.9589371, 0.9587679, 0.9585845, 0.9585704, 0.9584011, 0.9584011, 0.958387, 0.958387, 0.958387, 0.958387, 0.9583728, 0.9583728, 0.9582036, 0.9581752, 0.9580903, 0.9579919, 0.9579919, 0.9579777, 0.9577802, 0.9577802, 0.9575968, 0.9575968, 0.9575968, 0.9575826, 0.9575826, 0.9575826, 0.9575685, 0.9574134, 0.9573851, 0.9572158, 0.9571875, 0.9571875, 0.9571592, 0.9570041, 0.9570041, 0.9570041, 0.9570041, 0.9570041, 0.9570041, 0.9569899, 0.9569899, 0.9569758, 0.9568207, 0.9568065, 0.9568065, 0.9567924, 0.9567924, 0.9567924, 0.9567924, 0.9567924, 0.9567924, 0.9567782, 0.9566232, 0.956609, 0.9565949, 0.9564115, 0.9563973, 0.9563973, 0.9563973, 0.9563973, 0.9563832, 0.956369, 0.956369, 0.9562281, 0.9562139, 0.9562139, 0.9561998, 0.9561998, 0.9561856, 0.9561856, 0.9560305, 0.9560164, 0.9560164, 0.9560022]"},{"name":"coverage","value":"639","array_data":"[639, 623, 634, 650, 631, 642, 632, 653, 653, 643, 626, 647, 660, 643, 654, 654, 657, 668, 668, 658, 669, 661, 662, 674, 634, 614, 645, 666, 677, 667, 688, 688, 678, 678, 678, 678, 668, 668, 689, 669, 609, 680, 680, 670, 671, 671, 682, 682, 682, 672, 672, 672, 662, 693, 673, 694, 674, 674, 654, 685, 685, 685, 685, 685, 685, 675, 675, 665, 696, 686, 686, 676, 676, 676, 676, 676, 676, 666, 697, 687, 677, 688, 678, 678, 678, 678, 668, 658, 658, 699, 689, 689, 679, 679, 669, 669, 700, 690, 690, 680]"},{"name":"positives","value":"549","array_data":"[549, 547, 548, 549, 547, 548, 547, 549, 549, 548, 546, 548, 549, 547, 548, 548, 548, 549, 549, 548, 549, 548, 548, 549, 545, 543, 546, 548, 549, 548, 550, 550, 549, 549, 549, 549, 548, 548, 550, 548, 542, 549, 549, 548, 548, 548, 549, 549, 549, 548, 548, 548, 547, 550, 548, 550, 548, 548, 546, 549, 549, 549, 549, 549, 549, 548, 548, 547, 550, 549, 549, 548, 548, 548, 548, 548, 548, 547, 550, 549, 548, 549, 548, 548, 548, 548, 547, 546, 546, 550, 549, 549, 548, 548, 547, 547, 550, 549, 549, 548]"},{"name":"probability","value":"0.8591549","array_data":"[0.8591549, 0.8780096, 0.8643533, 0.8446154, 0.866878, 0.8535826, 0.8655063, 0.8407351, 0.8407351, 0.8522551, 0.8722045, 0.8469861, 0.8318182, 0.8506998, 0.8379205, 0.8379205, 0.8340944, 0.8218563, 0.8218563, 0.8328267, 0.8206278, 0.8290469, 0.8277946, 0.8145401, 0.8596215, 0.8843648, 0.8465116, 0.8228228, 0.8109306, 0.8215892, 0.7994186, 0.7994186, 0.8097345, 0.8097345, 0.8097345, 0.8097345, 0.8203593, 0.8203593, 0.7982583, 0.819133, 0.8899836, 0.8073529, 0.8073529, 0.8179104, 0.8166915, 0.8166915, 0.8049853, 0.8049853, 0.8049853, 0.8154762, 0.8154762, 0.8154762, 0.826284, 0.7936508, 0.8142645, 0.7925072, 0.8130564, 0.8130564, 0.8348624, 0.8014599, 0.8014599, 0.8014599, 0.8014599, 0.8014599, 0.8014599, 0.8118519, 0.8118519, 0.8225564, 0.7902299, 0.8002915, 0.8002915, 0.8106509, 0.8106509, 0.8106509, 0.8106509, 0.8106509, 0.8106509, 0.8213213, 0.7890961, 0.7991266, 0.8094535, 0.7979651, 0.8082596, 0.8082596, 0.8082596, 0.8082596, 0.8188623, 0.8297872, 0.8297872, 0.7868383, 0.796807, 0.796807, 0.8070692, 0.8070692, 0.8176383, 0.8176383, 0.7857143, 0.7956522, 0.7956522, 0.8058824]"},{"name":"joint_entropy","value":"0.9590080108171586"},{"name":"pattern_team_auroc10","value":"0.9855609439367611"}]}}}