{"run":{"run_id":"604475","uploader":"1","uploader_name":"Jan van Rijn","task_id":"55631","task_type":"Subgroup Discovery","flow_id":"4221","flow_name":"SubgroupDiscovery(1)","setup_id":"7599","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\":\"16\",\"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":"16","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":"2083439","name":"description","url":"https:\/\/www.openml.org\/data\/download\/2083439\/run7244798766126942942.xml"},{"did":"-1","file_id":"2083440","name":"subgroups","url":"https:\/\/www.openml.org\/data\/download\/2083440\/subgroups3028236122249499263.csv"}],"evaluation":[{"name":"cortana_quality","value":"0.8200758","array_data":"[0.8200758, 0.8194444, 0.7569444, 0.7569444, 0.7569444, 0.7569444, 0.7569444, 0.7569444, 0.7563131, 0.7563131, 0.7563131, 0.6938131, 0.6938131, 0.6938131, 0.6931818, 0.6931818, 0.6931818, 0.6306818, 0.6306818, 0.6306818, 0.6306818, 0.6306818, 0.6294192, 0.6281565, 0.5675505, 0.5675505, 0.5675505, 0.5675505, 0.5675505, 0.5675505, 0.5669192, 0.5669192, 0.5669192, 0.5669192, 0.5656565, 0.5650253, 0.5044192, 0.5044192, 0.5044192, 0.4412879, 0.4412879, 0.4400252, 0.4387626, 0.3787879, 0.3781566, 0.3781566, 0.3781566, 0.3150252, 0.3150252, 0.3150252, 0.3150252, 0.3150252, 0.3150252, 0.3150252, 0.3143939, 0.3143939, 0.3137626, 0.3131313, 0.2525252, 0.2525252, 0.2525252, 0.2525252, 0.2518939, 0.2518939, 0.25, 0.2493687, 0.1893939, 0.1887626, 0.1887626, 0.1887626, 0.1887626, 0.1881313, 0.1881313, 0.1875, 0.1262626, 0.1262626, 0.1262626, 0.1262626, 0.1256313, 0.1256313, 0.1256313, 0.1256313, 0.1256313, 0.1256313, 0.0631313, 0.0631313, 0.0631313, 0.0631313, 0.0631313, 0.0631313, 0.0631313, 0.0625, 0.0625, 0.0625, 0.0625, 0.0625, 0.0625, 0.0, 0.0, 0.0]"},{"name":"coverage","value":"301","array_data":"[301, 302, 401, 301, 201, 201, 201, 201, 402, 402, 302, 501, 401, 301, 502, 502, 502, 601, 501, 501, 501, 201, 603, 605, 701, 701, 601, 601, 501, 401, 702, 702, 602, 302, 704, 705, 701, 601, 501, 801, 601, 903, 905, 800, 1001, 1001, 901, 1101, 1101, 1001, 1001, 1001, 901, 601, 1102, 902, 1003, 904, 1200, 1200, 1100, 900, 1101, 1001, 1204, 1105, 1000, 1301, 1301, 1101, 1101, 1302, 1202, 1203, 1400, 1400, 1400, 1200, 1401, 1401, 1401, 1301, 1101, 1001, 1500, 1500, 1500, 1500, 1500, 1500, 1300, 1501, 1501, 1501, 1501, 1501, 1301, 1500, 1500, 1500]"},{"name":"positives","value":"16","array_data":"[16, 16, 16, 15, 14, 14, 14, 14, 16, 16, 15, 16, 15, 14, 16, 16, 16, 16, 15, 15, 15, 12, 16, 16, 16, 16, 15, 15, 14, 13, 16, 16, 15, 12, 16, 16, 15, 14, 13, 15, 13, 16, 16, 14, 16, 16, 15, 16, 16, 15, 15, 15, 14, 11, 16, 14, 15, 14, 16, 16, 15, 13, 15, 14, 16, 15, 13, 16, 16, 14, 14, 16, 15, 15, 16, 16, 16, 14, 16, 16, 16, 15, 13, 12, 16, 16, 16, 16, 16, 16, 14, 16, 16, 16, 16, 16, 14, 15, 15, 15]"},{"name":"probability","value":"0.0531561","array_data":"[0.0531561, 0.0529801, 0.0399002, 0.0498339, 0.0696517, 0.0696517, 0.0696517, 0.0696517, 0.039801, 0.039801, 0.0496689, 0.0319361, 0.0374065, 0.0465116, 0.0318725, 0.0318725, 0.0318725, 0.0266223, 0.0299401, 0.0299401, 0.0299401, 0.0597015, 0.026534, 0.0264463, 0.0228245, 0.0228245, 0.0249584, 0.0249584, 0.0279441, 0.032419, 0.022792, 0.022792, 0.0249169, 0.0397351, 0.0227273, 0.022695, 0.021398, 0.0232945, 0.0259481, 0.0187266, 0.0216306, 0.0177187, 0.0176796, 0.0175, 0.015984, 0.015984, 0.0166482, 0.0145322, 0.0145322, 0.014985, 0.014985, 0.014985, 0.0155383, 0.0183028, 0.0145191, 0.0155211, 0.0149551, 0.0154867, 0.0133333, 0.0133333, 0.0136364, 0.0144444, 0.013624, 0.013986, 0.013289, 0.0135747, 0.013, 0.0122982, 0.0122982, 0.0127157, 0.0127157, 0.0122888, 0.0124792, 0.0124688, 0.0114286, 0.0114286, 0.0114286, 0.0116667, 0.0114204, 0.0114204, 0.0114204, 0.0115296, 0.0118074, 0.011988, 0.0106667, 0.0106667, 0.0106667, 0.0106667, 0.0106667, 0.0106667, 0.0107692, 0.0106596, 0.0106596, 0.0106596, 0.0106596, 0.0106596, 0.010761, 0.01, 0.01, 0.01]"},{"name":"joint_entropy","value":"5.353786718784101"},{"name":"pattern_team_auroc10","value":"0.8011955492424242"}]}}}