{"run":{"run_id":"1764087","uploader":"1","uploader_name":"Jan van Rijn","task_id":"53871","task_type":"Subgroup Discovery","flow_id":"4221","flow_name":"SubgroupDiscovery(1)","setup_id":"8842","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\":\"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\":\"32\",\"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":"best-bins","component":"4221"},{"name":"nr_bins","value":"32","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":"300","name":"isolet","url":"https:\/\/www.openml.org\/data\/download\/52405\/phpB0xrNj"}},"output_data":{"file":[{"did":"-1","file_id":"4439221","name":"description","url":"https:\/\/www.openml.org\/data\/download\/4439221\/run3362365818360078739.xml"},{"did":"-1","file_id":"4439222","name":"subgroups","url":"https:\/\/www.openml.org\/data\/download\/4439222\/subgroups5620118126354113885.csv"}],"evaluation":[{"name":"cortana_quality","value":"0.7900733","array_data":"[0.7900733, 0.7900733, 0.789141, 0.7886061, 0.7847366, 0.7808843, 0.7755516, 0.7751407, 0.7746179, 0.7731306, 0.7716714, 0.7716714, 0.7711444, 0.7711444, 0.7707403, 0.7702041, 0.7698106, 0.7690023, 0.7686128, 0.7682073, 0.7675484, 0.7668747, 0.7667347, 0.7661971, 0.7661971, 0.7660637, 0.7660637, 0.7650073, 0.7650073, 0.7645965, 0.7640776, 0.7640776, 0.7636735, 0.7635414, 0.7626104, 0.7620769, 0.7620769, 0.7616794, 0.7616714, 0.7611271, 0.7606096, 0.7599253, 0.7596745, 0.7591303, 0.7591303, 0.7591236, 0.7591236, 0.758346, 0.7582073, 0.7580699, 0.7580606, 0.7580606, 0.7579365, 0.7579365, 0.7579365, 0.7579232, 0.7578164, 0.7578164, 0.7576737, 0.7568827, 0.7568601, 0.7567507, 0.7566026, 0.7560584, 0.7558063, 0.7551354, 0.7544538, 0.7543337, 0.7539549, 0.7539549, 0.7533907, 0.7531413, 0.7530212, 0.7529919, 0.7523302, 0.7522089, 0.7519341, 0.7516687, 0.7516687, 0.7512698, 0.7511365, 0.7510031, 0.7508737, 0.7501867, 0.7500734, 0.7499427, 0.7496799, 0.7496746, 0.7495518, 0.7495318, 0.7492757, 0.7492757, 0.7490076, 0.7490076, 0.7488635, 0.7488635, 0.7487515, 0.7479458, 0.7479419, 0.7479405]"},{"name":"coverage","value":"1406","array_data":"[1406, 1406, 1387, 1417, 1472, 1189, 1177, 1388, 1184, 1585, 1440, 1440, 1314, 1314, 1395, 1451, 1324, 1486, 1281, 1388, 1237, 1372, 1503, 1585, 1585, 1586, 1586, 1386, 1386, 1597, 1315, 1315, 1396, 1371, 1326, 1330, 1330, 1281, 1437, 1649, 1341, 1684, 1374, 1586, 1586, 1716, 1716, 1280, 1385, 1464, 1646, 1646, 1465, 1465, 1465, 1725, 1206, 1206, 1389, 1213, 1655, 1188, 1475, 1687, 1403, 1486, 1777, 1518, 1105, 1105, 1707, 1371, 1112, 1684, 1585, 1352, 1510, 1486, 1486, 1463, 1464, 1465, 1388, 1783, 1394, 1343, 1267, 1371, 1164, 1554, 1348, 1348, 1376, 1376, 1585, 1585, 1170, 1280, 1358, 1384]"},{"name":"positives","value":"282","array_data":"[282, 282, 281, 282, 283, 271, 269, 277, 269, 284, 278, 278, 273, 273, 276, 278, 273, 279, 271, 275, 269, 274, 279, 282, 282, 282, 282, 274, 274, 282, 271, 271, 274, 273, 271, 271, 271, 269, 275, 283, 271, 284, 272, 280, 280, 285, 285, 268, 272, 275, 282, 282, 275, 275, 275, 285, 265, 265, 272, 265, 282, 264, 275, 283, 272, 275, 286, 276, 260, 260, 283, 270, 260, 282, 278, 269, 275, 274, 274, 273, 273, 273, 270, 285, 270, 268, 265, 269, 261, 276, 268, 268, 269, 269, 277, 277, 261, 265, 268, 269]"},{"name":"probability","value":"0.200569","array_data":"[0.200569, 0.200569, 0.2025955, 0.199012, 0.1922554, 0.2279226, 0.2285472, 0.1995677, 0.2271959, 0.1791798, 0.1930556, 0.1930556, 0.2077626, 0.2077626, 0.1978495, 0.191592, 0.2061934, 0.1877524, 0.2115535, 0.1981268, 0.2174616, 0.1997085, 0.1856287, 0.177918, 0.177918, 0.1778058, 0.1778058, 0.1976912, 0.1976912, 0.1765811, 0.2060837, 0.2060837, 0.1962751, 0.1991247, 0.2043741, 0.2037594, 0.2037594, 0.2099922, 0.1913709, 0.1716192, 0.202088, 0.1686461, 0.1979622, 0.1765448, 0.1765448, 0.1660839, 0.1660839, 0.209375, 0.1963899, 0.1878415, 0.1713244, 0.1713244, 0.1877133, 0.1877133, 0.1877133, 0.1652174, 0.2197347, 0.2197347, 0.1958243, 0.2184666, 0.1703927, 0.2222222, 0.1864407, 0.1677534, 0.1938703, 0.1850606, 0.1609454, 0.1818182, 0.2352941, 0.2352941, 0.1657879, 0.1969365, 0.2338129, 0.1674584, 0.1753943, 0.1989645, 0.1821192, 0.1843876, 0.1843876, 0.1866029, 0.1864754, 0.1863481, 0.1945245, 0.159843, 0.1936872, 0.1995532, 0.2091555, 0.1962071, 0.2242268, 0.1776062, 0.1988131, 0.1988131, 0.1954942, 0.1954942, 0.1747634, 0.1747634, 0.2230769, 0.2070313, 0.197349, 0.1943642]"},{"name":"quality","value":"0.7900733351707458","array_data":"[0.7900733351707458, 0.7900733351707458, 0.7891409993171692, 0.7886061072349548, 0.7847365736961365, 0.780884325504303, 0.7755515575408936, 0.7751407027244568, 0.7746178507804871, 0.7731305956840515, 0.7716713547706604, 0.7716713547706604, 0.771144449710846, 0.771144449710846, 0.770740270614624, 0.7702040672302246, 0.7698106169700623, 0.7690022587776184, 0.768612802028656, 0.768207311630249, 0.7675483822822571, 0.7668747305870056, 0.7667347192764282, 0.766197144985199, 0.766197144985199, 0.7660637497901917, 0.7660637497901917, 0.7650073170661926, 0.7650073170661926, 0.7645965218544006, 0.7640776038169861, 0.7640776038169861, 0.7636734843254089, 0.7635414004325867, 0.7626103758811951, 0.7620768547058105, 0.7620768547058105, 0.7616793513298035, 0.7616713643074036, 0.7611271142959595, 0.7606095671653748, 0.7599253058433533, 0.7596745491027832, 0.7591302990913391, 0.7591302990913391, 0.7591236233711243, 0.7591236233711243, 0.7583460211753845, 0.7582072615623474, 0.7580698728561401, 0.7580605745315552, 0.7580605745315552, 0.7579365372657776, 0.7579365372657776, 0.7579365372657776, 0.7579231858253479, 0.7578164339065552, 0.7578164339065552, 0.7576737403869629, 0.7568827271461487, 0.756860077381134, 0.7567507028579712, 0.7566026449203491, 0.756058394908905, 0.7558063268661499, 0.7551354169845581, 0.7544537782669067, 0.7543337345123291, 0.7539548873901367, 0.7539548873901367, 0.7533906698226929, 0.7531412839889526, 0.7530211806297302, 0.7529918551445007, 0.7523302435874939, 0.7522088885307312, 0.7519341111183167, 0.7516686916351318, 0.7516686916351318, 0.7512698173522949, 0.7511364817619324, 0.751003086566925, 0.7508736848831177, 0.7501867413520813, 0.7500733733177185, 0.7499426603317261, 0.7496798634529114, 0.7496745586395264, 0.7495518326759338, 0.7495318055152893, 0.7492756843566895, 0.7492756843566895, 0.7490075826644897, 0.7490075826644897, 0.7488635182380676, 0.7488635182380676, 0.7487515211105347, 0.7479458451271057, 0.7479418516159058, 0.7479404807090759]"},{"name":"joint_entropy","value":"3.3374176359165437"},{"name":"pattern_team_auroc10","value":"0.8965317238006314"}]}}}