{"run":{"run_id":"1443968","uploader":"1","uploader_name":"Jan van Rijn","task_id":"56131","task_type":"Subgroup Discovery","flow_id":"4221","flow_name":"SubgroupDiscovery(1)","setup_id":"8524","error":[],"setup_string":"{\"overall_ranking_loss\":\"0.0\",\"post_processing_count\":\"20\",\"search_depth\":\"3\",\"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\":\"8\",\"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":"1024","component":"4221"},{"name":"numeric_operators","value":"≤, ≥<\/html>","component":"4221"},{"name":"numeric_strategy","value":"bins","component":"4221"},{"name":"nr_bins","value":"8","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":"1493","name":"one-hundred-plants-texture","url":"https:\/\/www.openml.org\/data\/download\/1592285\/phpoOxxNn"}},"output_data":{"file":[{"did":"-1","file_id":"3779572","name":"description","url":"https:\/\/www.openml.org\/data\/download\/3779572\/run2619501980432748440.xml"},{"did":"-1","file_id":"3779573","name":"subgroups","url":"https:\/\/www.openml.org\/data\/download\/3779573\/subgroups5821889279480546214.csv"}],"evaluation":[{"name":"cortana_quality","value":"0.9848389","array_data":"[0.9848389, 0.9772584, 0.9772584, 0.9772584, 0.9766266, 0.9766266, 0.9759949, 0.9759949, 0.9759949, 0.9753633, 0.9753633, 0.9740998, 0.9740998, 0.9734681, 0.9734681, 0.9728364, 0.9728364, 0.9728364, 0.9728364, 0.9722047, 0.9722047, 0.9715729, 0.9715729, 0.9715729, 0.9715729, 0.9709412, 0.9709412, 0.9709412, 0.9703096, 0.9696778, 0.9696778, 0.9696778, 0.9696778, 0.9696778, 0.9696778, 0.9696778, 0.9690461, 0.9690461, 0.9690461, 0.9690461, 0.9690461, 0.9690461, 0.9690461, 0.9690461, 0.9690461, 0.9684144, 0.9684144, 0.9684144, 0.9684144, 0.9684144, 0.9677827, 0.9677827, 0.9677827, 0.9677827, 0.9677827, 0.9677827, 0.9677827, 0.9677827, 0.967151, 0.967151, 0.967151, 0.967151, 0.967151, 0.967151, 0.967151, 0.967151, 0.9665193, 0.9665193, 0.9665193, 0.9665193, 0.9665193, 0.9665193, 0.9665193, 0.9665193, 0.9665193, 0.9658875, 0.9658875, 0.9658875, 0.9658875, 0.9658875, 0.9652559, 0.9652559, 0.9652559, 0.9652559, 0.9646241, 0.9646241, 0.9646241, 0.9646241, 0.9646241, 0.9646241, 0.9639924, 0.9639924, 0.9639924, 0.9633607, 0.9633607, 0.9633607, 0.9633607, 0.9633607, 0.962729, 0.962729]"},{"name":"coverage","value":"40","array_data":"[40, 52, 52, 52, 53, 53, 54, 54, 54, 55, 55, 57, 57, 58, 58, 59, 59, 59, 59, 60, 60, 61, 61, 61, 61, 62, 62, 62, 63, 64, 64, 64, 64, 64, 64, 64, 65, 65, 65, 65, 65, 65, 65, 65, 65, 66, 66, 66, 66, 66, 67, 67, 67, 67, 67, 67, 67, 67, 68, 68, 68, 68, 68, 68, 68, 68, 69, 69, 69, 69, 69, 69, 69, 69, 69, 70, 70, 70, 70, 70, 71, 71, 71, 71, 72, 72, 72, 72, 72, 72, 73, 73, 73, 74, 74, 74, 74, 74, 75, 75]"},{"name":"positives","value":"16","array_data":"[16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16]"},{"name":"probability","value":"0.4","array_data":"[0.4, 0.3076923, 0.3076923, 0.3076923, 0.3018868, 0.3018868, 0.2962963, 0.2962963, 0.2962963, 0.2909091, 0.2909091, 0.2807018, 0.2807018, 0.2758621, 0.2758621, 0.2711864, 0.2711864, 0.2711864, 0.2711864, 0.2666667, 0.2666667, 0.2622951, 0.2622951, 0.2622951, 0.2622951, 0.2580645, 0.2580645, 0.2580645, 0.2539683, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.25, 0.2461538, 0.2461538, 0.2461538, 0.2461538, 0.2461538, 0.2461538, 0.2461538, 0.2461538, 0.2461538, 0.2424242, 0.2424242, 0.2424242, 0.2424242, 0.2424242, 0.238806, 0.238806, 0.238806, 0.238806, 0.238806, 0.238806, 0.238806, 0.238806, 0.2352941, 0.2352941, 0.2352941, 0.2352941, 0.2352941, 0.2352941, 0.2352941, 0.2352941, 0.2318841, 0.2318841, 0.2318841, 0.2318841, 0.2318841, 0.2318841, 0.2318841, 0.2318841, 0.2318841, 0.2285714, 0.2285714, 0.2285714, 0.2285714, 0.2285714, 0.2253521, 0.2253521, 0.2253521, 0.2253521, 0.2222222, 0.2222222, 0.2222222, 0.2222222, 0.2222222, 0.2222222, 0.2191781, 0.2191781, 0.2191781, 0.2162162, 0.2162162, 0.2162162, 0.2162162, 0.2162162, 0.2133333, 0.2133333]"},{"name":"joint_entropy","value":"1.4019852608363617"},{"name":"pattern_team_auroc10","value":"0.9864181933038534"}]}}}