{"run":{"run_id":"601430","uploader":"1","uploader_name":"Jan van Rijn","task_id":"53843","task_type":"Subgroup Discovery","flow_id":"4221","flow_name":"SubgroupDiscovery(1)","setup_id":"7596","error":[],"setup_string":"{\"overall_ranking_loss\":\"0.0\",\"post_processing_count\":\"20\",\"search_depth\":\"1\",\"maximum_time\":\"1.0\",\"search_strategy_width\":\"1\",\"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":"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":"1","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":"307","name":"vowel","url":"https:\/\/www.openml.org\/data\/download\/52210\/phpd8EoD9"}},"output_data":{"file":[{"did":"-1","file_id":"2077345","name":"description","url":"https:\/\/www.openml.org\/data\/download\/2077345\/run5090534090842665374.xml"},{"did":"-1","file_id":"2077347","name":"subgroups","url":"https:\/\/www.openml.org\/data\/download\/2077347\/subgroups3402027281608820279.csv"}],"evaluation":[{"name":"cortana_quality","value":"0.5011111","array_data":"[0.5011111, 0.44, 0.4144444, 0.3655556, 0.11, 0.0966667, 0.0722222, 0.06, 0.0588889, 0.0233333, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -0.0244444, -0.0611111, -0.0611111, -0.0755556, -0.0988889, -0.1111111, -0.3666667, -0.4166667, -0.4288889, -0.5022222]"},{"name":"coverage","value":"495","array_data":"[495, 495, 496, 496, 495, 496, 496, 496, 497, 496, 528, 462, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 66, 495, 495, 495, 497, 496, 496, 495, 496, 496, 496]"},{"name":"positives","value":"86","array_data":"[86, 81, 79, 75, 54, 53, 51, 50, 50, 47, 48, 42, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 43, 40, 40, 39, 37, 36, 15, 11, 10, 4]"},{"name":"probability","value":"0.1737374","array_data":"[0.1737374, 0.1636364, 0.1592742, 0.1512097, 0.1090909, 0.1068548, 0.1028226, 0.1008065, 0.1006036, 0.0947581, 0.0909091, 0.0909091, 0.0909091, 0.0909091, 0.0909091, 0.0909091, 0.0909091, 0.0909091, 0.0909091, 0.0909091, 0.0909091, 0.0909091, 0.0909091, 0.0909091, 0.0909091, 0.0909091, 0.0909091, 0.0868687, 0.0808081, 0.0808081, 0.0784708, 0.0745968, 0.0725806, 0.030303, 0.0221774, 0.0201613, 0.0080645]"},{"name":"joint_entropy","value":"7.6250987003864195"},{"name":"pattern_team_auroc10","value":"0.7505555555555556"}]}}}