{"run":{"run_id":"1740103","uploader":"1","uploader_name":"Jan van Rijn","task_id":"55519","task_type":"Subgroup Discovery","flow_id":"4221","flow_name":"SubgroupDiscovery(1)","setup_id":"8816","error":[],"setup_string":"{\"overall_ranking_loss\":\"0.0\",\"post_processing_count\":\"20\",\"search_depth\":\"4\",\"maximum_time\":\"1.0\",\"search_strategy_width\":\"256\",\"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\":\"128\",\"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":"256","component":"4221"},{"name":"numeric_operators","value":"≤, ≥, =<\/html>","component":"4221"},{"name":"numeric_strategy","value":"bins","component":"4221"},{"name":"nr_bins","value":"128","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":"1492","name":"one-hundred-plants-shape","url":"https:\/\/www.openml.org\/data\/download\/1592284\/php0FyS2T"}},"output_data":{"file":[{"did":"-1","file_id":"4389412","name":"description","url":"https:\/\/www.openml.org\/data\/download\/4389412\/run8805101335342759470.xml"},{"did":"-1","file_id":"4389413","name":"subgroups","url":"https:\/\/www.openml.org\/data\/download\/4389413\/subgroups2986636947590710558.csv"}],"evaluation":[{"name":"cortana_quality","value":"0.9728535","array_data":"[0.9728535, 0.9715909, 0.9690657, 0.9690657, 0.9665404, 0.9652778, 0.9633839, 0.9608586, 0.959596, 0.9589646, 0.9564394, 0.9545454, 0.9532828, 0.9520202, 0.9501263, 0.949495, 0.947601, 0.9457071, 0.9457071, 0.9450758, 0.9438131, 0.9431818, 0.9425505, 0.9425505, 0.9419192, 0.9412879, 0.9400253, 0.9393939, 0.9393939, 0.9381313, 0.9381313, 0.9381313, 0.9356061, 0.9349747, 0.9349747, 0.9349747, 0.9343435, 0.9343435, 0.9318182, 0.9318182, 0.9318182, 0.9318182, 0.9318182, 0.9318182, 0.9318182, 0.9299242, 0.9292929, 0.9292929, 0.9292929, 0.9280303, 0.9267676, 0.9267676, 0.9261364, 0.9261364, 0.925505, 0.925505, 0.9248737, 0.9248737, 0.9248737, 0.9242424, 0.9236111, 0.9229798, 0.9229798, 0.9229798, 0.9223485, 0.9223485, 0.9217172, 0.9217172, 0.9210858, 0.9204546, 0.9198232, 0.9198232, 0.9198232, 0.9191919, 0.9191919, 0.9191919, 0.9191919, 0.9179293, 0.9179293, 0.917298, 0.917298, 0.9166667, 0.9166667, 0.9166667, 0.9166667, 0.9166667, 0.9160354, 0.9160354, 0.9160354, 0.9160354, 0.915404, 0.9147727, 0.9147727, 0.9147727, 0.9141414, 0.9141414, 0.9141414, 0.9135101, 0.9135101, 0.9135101]"},{"name":"coverage","value":"59","array_data":"[59, 61, 65, 65, 69, 71, 74, 78, 80, 81, 85, 88, 90, 92, 95, 96, 99, 102, 102, 103, 105, 106, 107, 107, 108, 109, 111, 112, 112, 114, 114, 114, 118, 119, 119, 119, 120, 120, 124, 124, 124, 124, 124, 124, 124, 127, 128, 128, 128, 130, 132, 132, 133, 133, 134, 134, 135, 135, 135, 136, 37, 138, 138, 38, 139, 139, 140, 140, 141, 142, 143, 143, 43, 144, 144, 144, 44, 146, 146, 147, 147, 148, 148, 148, 48, 48, 149, 149, 49, 49, 150, 151, 151, 151, 152, 152, 152, 153, 153, 153]"},{"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, 15, 16, 16, 15, 16, 16, 16, 16, 16, 16, 16, 16, 15, 16, 16, 16, 15, 16, 16, 16, 16, 16, 16, 16, 15, 15, 16, 16, 15, 15, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16]"},{"name":"probability","value":"0.2711864","array_data":"[0.2711864, 0.2622951, 0.2461538, 0.2461538, 0.2318841, 0.2253521, 0.2162162, 0.2051282, 0.2, 0.1975309, 0.1882353, 0.1818182, 0.1777778, 0.173913, 0.1684211, 0.1666667, 0.1616162, 0.1568627, 0.1568627, 0.1553398, 0.152381, 0.1509434, 0.1495327, 0.1495327, 0.1481481, 0.146789, 0.1441441, 0.1428571, 0.1428571, 0.1403509, 0.1403509, 0.1403509, 0.1355932, 0.1344538, 0.1344538, 0.1344538, 0.1333333, 0.1333333, 0.1290323, 0.1290323, 0.1290323, 0.1290323, 0.1290323, 0.1290323, 0.1290323, 0.1259843, 0.125, 0.125, 0.125, 0.1230769, 0.1212121, 0.1212121, 0.1203008, 0.1203008, 0.119403, 0.119403, 0.1185185, 0.1185185, 0.1185185, 0.1176471, 0.4054054, 0.115942, 0.115942, 0.3947368, 0.1151079, 0.1151079, 0.1142857, 0.1142857, 0.1134752, 0.1126761, 0.1118881, 0.1118881, 0.3488372, 0.1111111, 0.1111111, 0.1111111, 0.3409091, 0.109589, 0.109589, 0.1088435, 0.1088435, 0.1081081, 0.1081081, 0.1081081, 0.3125, 0.3125, 0.1073826, 0.1073826, 0.3061224, 0.3061224, 0.1066667, 0.1059603, 0.1059603, 0.1059603, 0.1052632, 0.1052632, 0.1052632, 0.1045752, 0.1045752, 0.1045752]"},{"name":"joint_entropy","value":"1.952838852135387"},{"name":"pattern_team_auroc10","value":"0.982638888888889"}]}}}