{"run":{"run_id":"1773380","uploader":"1","uploader_name":"Jan van Rijn","task_id":"55347","task_type":"Subgroup Discovery","flow_id":"4221","flow_name":"SubgroupDiscovery(1)","setup_id":"8852","error":[],"setup_string":"{\"overall_ranking_loss\":\"0.0\",\"post_processing_count\":\"20\",\"search_depth\":\"4\",\"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\":\"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":"1024","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":"1491","name":"one-hundred-plants-margin","url":"https:\/\/www.openml.org\/data\/download\/1592283\/phpCsX3fx"}},"output_data":{"file":[{"did":"-1","file_id":"4457869","name":"description","url":"https:\/\/www.openml.org\/data\/download\/4457869\/run8821275910217142152.xml"},{"did":"-1","file_id":"4457870","name":"subgroups","url":"https:\/\/www.openml.org\/data\/download\/4457870\/subgroups6073914111031618311.csv"}],"evaluation":[{"name":"cortana_quality","value":"0.9520202","array_data":"[0.9520202, 0.9488636, 0.9444444, 0.9381313, 0.9362374, 0.9356061, 0.9343435, 0.9330808, 0.9311869, 0.927399, 0.9261364, 0.9261364, 0.9261364, 0.925505, 0.9242424, 0.9242424, 0.9217172, 0.9217172, 0.9210858, 0.9210858, 0.9204546, 0.9198232, 0.9191919, 0.917298, 0.9166667, 0.9166667, 0.915404, 0.915404, 0.915404, 0.9147727, 0.9135101, 0.9128788, 0.9109849, 0.9109849, 0.9103535, 0.9097222, 0.9090909, 0.9090909, 0.9090909, 0.907197, 0.9065657, 0.9065657, 0.9059343, 0.9059343, 0.905303, 0.9046717, 0.9046717, 0.9046717, 0.9040404, 0.9040404, 0.9040404, 0.9027778, 0.9021465, 0.9015151, 0.9008839, 0.9008839, 0.9002525, 0.8996212, 0.8996212, 0.8989899, 0.8977273, 0.8977273, 0.897096, 0.897096, 0.897096, 0.897096, 0.897096, 0.8964646, 0.8964646, 0.8958333, 0.8958333, 0.895202, 0.895202, 0.895202, 0.8945707, 0.8945707, 0.8939394, 0.8933081, 0.8933081, 0.8933081, 0.8926768, 0.8926768, 0.8926768, 0.8926768, 0.8914142, 0.8907828, 0.8907828, 0.8901515, 0.8901515, 0.8901515, 0.8901515, 0.8895202, 0.8888889, 0.8888889, 0.8882576, 0.8882576, 0.8876263, 0.8876263, 0.886995, 0.886995]"},{"name":"coverage","value":"92","array_data":"[92, 97, 104, 114, 117, 118, 120, 122, 125, 131, 133, 133, 133, 134, 136, 136, 140, 140, 141, 141, 142, 143, 144, 147, 148, 148, 150, 150, 150, 151, 153, 154, 157, 157, 158, 159, 160, 160, 160, 163, 164, 164, 165, 165, 166, 167, 167, 167, 168, 168, 68, 70, 71, 172, 173, 173, 174, 175, 175, 76, 178, 178, 179, 179, 179, 179, 79, 180, 80, 181, 181, 182, 182, 182, 83, 83, 184, 185, 85, 85, 186, 186, 186, 186, 188, 189, 189, 190, 190, 190, 190, 91, 192, 92, 93, 93, 194, 94, 195, 195]"},{"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, 15, 15, 15, 16, 16, 16, 16, 16, 16, 15, 16, 16, 16, 16, 16, 16, 15, 16, 15, 16, 16, 16, 16, 16, 15, 15, 16, 16, 15, 15, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 15, 16, 15, 15, 15, 16, 15, 16, 16]"},{"name":"probability","value":"0.173913","array_data":"[0.173913, 0.1649485, 0.1538462, 0.1403509, 0.1367521, 0.1355932, 0.1333333, 0.1311475, 0.128, 0.1221374, 0.1203008, 0.1203008, 0.1203008, 0.119403, 0.1176471, 0.1176471, 0.1142857, 0.1142857, 0.1134752, 0.1134752, 0.1126761, 0.1118881, 0.1111111, 0.1088435, 0.1081081, 0.1081081, 0.1066667, 0.1066667, 0.1066667, 0.1059603, 0.1045752, 0.1038961, 0.1019108, 0.1019108, 0.1012658, 0.1006289, 0.1, 0.1, 0.1, 0.0981595, 0.097561, 0.097561, 0.0969697, 0.0969697, 0.0963855, 0.0958084, 0.0958084, 0.0958084, 0.0952381, 0.0952381, 0.2205882, 0.2142857, 0.2112676, 0.0930233, 0.0924855, 0.0924855, 0.091954, 0.0914286, 0.0914286, 0.1973684, 0.0898876, 0.0898876, 0.0893855, 0.0893855, 0.0893855, 0.0893855, 0.1898734, 0.0888889, 0.1875, 0.0883978, 0.0883978, 0.0879121, 0.0879121, 0.0879121, 0.1807229, 0.1807229, 0.0869565, 0.0864865, 0.1764706, 0.1764706, 0.0860215, 0.0860215, 0.0860215, 0.0860215, 0.0851064, 0.0846561, 0.0846561, 0.0842105, 0.0842105, 0.0842105, 0.0842105, 0.1648352, 0.0833333, 0.1630435, 0.1612903, 0.1612903, 0.0824742, 0.1595745, 0.0820513, 0.0820513]"},{"name":"joint_entropy","value":"4.0734197854469105"},{"name":"pattern_team_auroc10","value":"0.9501262626262627"}]}}}