{"run":{"run_id":"802239","uploader":"1","uploader_name":"Jan van Rijn","task_id":"56243","task_type":"Subgroup Discovery","flow_id":"4221","flow_name":"SubgroupDiscovery(1)","setup_id":"7817","error":[],"setup_string":"{\"overall_ranking_loss\":\"0.0\",\"post_processing_count\":\"20\",\"search_depth\":\"1\",\"maximum_time\":\"1.0\",\"search_strategy_width\":\"256\",\"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\":\"64\",\"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":"256","component":"4221"},{"name":"numeric_operators","value":"≤, ≥<\/html>","component":"4221"},{"name":"numeric_strategy","value":"best-bins","component":"4221"},{"name":"nr_bins","value":"64","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":"1501","name":"semeion","url":"https:\/\/www.openml.org\/data\/download\/1592293\/phptd5jYj"}},"output_data":{"file":[{"did":"-1","file_id":"2478994","name":"description","url":"https:\/\/www.openml.org\/data\/download\/2478994\/run5287060927483158302.xml"},{"did":"-1","file_id":"2478995","name":"subgroups","url":"https:\/\/www.openml.org\/data\/download\/2478995\/subgroups2995622407913360079.csv"}],"evaluation":[{"name":"cortana_quality","value":"0.4525407","array_data":"[0.4525407, 0.4469882, 0.4420542, 0.3883977, 0.3813189, 0.3771874, 0.3771611, 0.3757533, 0.3716613, 0.3534775, 0.3491882, 0.3486092, 0.3485961, 0.3472014, 0.3444251, 0.3415436, 0.3395042, 0.3360569, 0.3295176, 0.3290177, 0.3278466, 0.327044, 0.3250967, 0.3211363, 0.3197942, 0.3178206, 0.3146233, 0.3144654, 0.314018, 0.2996105, 0.2983474, 0.2981895, 0.2926634, 0.2906634, 0.2899266, 0.2894397, 0.2886766, 0.2835847, 0.2808873, 0.2744796, 0.2740323, 0.2676772, 0.2660456, 0.2647825, 0.2641115, 0.2611773, 0.2611379, 0.2597958, 0.2587037, 0.2583616, 0.2579274, 0.2578353, 0.2564143, 0.2528223, 0.2498487, 0.2495461, 0.2472172, 0.2452699, 0.2429936, 0.2408226, 0.2404542, 0.2349412, 0.2341517, 0.2300597, 0.229915, 0.2277966, 0.2267309, 0.2245467, 0.2244415, 0.2226915, 0.2174943, 0.2156391, 0.2151259, 0.213797, 0.2124023, 0.2118497, 0.2102313, 0.2085208, 0.2067314, 0.2032447, 0.2022842, 0.2012842, 0.1998763, 0.1982053, 0.1962843, 0.1928239, 0.1917055, 0.190995, 0.1881398, 0.187824, 0.1875214, 0.1850083, 0.1843241, 0.1836794, 0.1800084, 0.1783243, 0.1777848, 0.1768769, 0.1745612, 0.1727849]"},{"name":"coverage","value":"914","array_data":"[914, 942, 909, 1016, 946, 992, 972, 964, 1040, 1026, 952, 1043, 502, 1035, 1049, 983, 1026, 1061, 870, 1021, 662, 1114, 165, 341, 914, 476, 701, 1112, 772, 442, 1075, 424, 1003, 1076, 1047, 677, 1159, 1006, 549, 989, 1180, 598, 420, 1053, 1074, 968, 938, 980, 1212, 421, 1153, 1083, 1065, 990, 854, 624, 978, 560, 954, 366, 1148, 1206, 606, 682, 1103, 1086, 276, 740, 1191, 392, 1221, 342, 1014, 535, 1068, 1179, 480, 773, 475, 480, 812, 1114, 1106, 898, 500, 1056, 1268, 1259, 1213, 973, 212, 957, 968, 478, 343, 1187, 1308, 618, 451, 1225]"},{"name":"positives","value":"156","array_data":"[156, 158, 154, 157, 149, 153, 151, 150, 157, 153, 145, 154, 100, 153, 154, 147, 151, 154, 134, 149, 113, 158, 63, 80, 137, 93, 115, 156, 122, 87, 150, 85, 142, 149, 146, 109, 157, 141, 95, 138, 157, 98, 80, 143, 145, 134, 131, 135, 158, 79, 152, 145, 143, 135, 121, 98, 133, 91, 130, 71, 149, 154, 94, 101, 143, 141, 60, 106, 151, 71, 153, 65, 132, 84, 137, 148, 78, 107, 77, 77, 110, 140, 139, 118, 78, 133, 154, 153, 148, 124, 48, 122, 123, 74, 60, 144, 156, 87, 70, 147]"},{"name":"probability","value":"0.1706783","array_data":"[0.1706783, 0.1677282, 0.1694169, 0.1545276, 0.1575053, 0.1542339, 0.1553498, 0.1556017, 0.1509615, 0.1491228, 0.1523109, 0.147651, 0.1992032, 0.1478261, 0.1468065, 0.1495422, 0.1471735, 0.1451461, 0.154023, 0.1459354, 0.1706949, 0.1418312, 0.3818182, 0.2346041, 0.1498906, 0.1953782, 0.1640514, 0.1402878, 0.1580311, 0.1968326, 0.1395349, 0.2004717, 0.1415753, 0.1384758, 0.139446, 0.1610044, 0.1354616, 0.140159, 0.1730419, 0.1395349, 0.1330508, 0.1638796, 0.1904762, 0.1358025, 0.1350093, 0.1384298, 0.1396588, 0.1377551, 0.130363, 0.1876485, 0.13183, 0.1338873, 0.1342723, 0.1363636, 0.1416862, 0.1570513, 0.1359918, 0.1625, 0.1362683, 0.1939891, 0.1297909, 0.1276949, 0.1551155, 0.1480938, 0.1296464, 0.1298343, 0.2173913, 0.1432432, 0.1267842, 0.1811224, 0.1253071, 0.1900585, 0.1301775, 0.1570093, 0.1282772, 0.1255301, 0.1625, 0.1384217, 0.1621053, 0.1604167, 0.135468, 0.1256732, 0.1256781, 0.1314031, 0.156, 0.125947, 0.1214511, 0.121525, 0.1220115, 0.1274409, 0.2264151, 0.1274817, 0.1270661, 0.1548117, 0.1749271, 0.1213142, 0.1192661, 0.1407767, 0.1552106, 0.12]"},{"name":"joint_entropy","value":"8.74268100234064"},{"name":"pattern_team_auroc10","value":"0.7262703613062814"}]}}}