{"run":{"run_id":"1766805","uploader":"1","uploader_name":"Jan van Rijn","task_id":"53867","task_type":"Subgroup Discovery","flow_id":"4221","flow_name":"SubgroupDiscovery(1)","setup_id":"8845","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\":\"256\",\"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":"256","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":"4444713","name":"description","url":"https:\/\/www.openml.org\/data\/download\/4444713\/run4672983857732707078.xml"},{"did":"-1","file_id":"4444714","name":"subgroups","url":"https:\/\/www.openml.org\/data\/download\/4444714\/subgroups4968646357371193457.csv"}],"evaluation":[{"name":"cortana_quality","value":"0.8314165","array_data":"[0.8314165, 0.82342, 0.8127545, 0.8018208, 0.7986048, 0.7866067, 0.7854022, 0.7838029, 0.7763345, 0.7724703, 0.7723436, 0.7683233, 0.7668814, 0.7660691, 0.7646032, 0.7642084, 0.7636721, 0.761794, 0.760991, 0.7603388, 0.7580739, 0.7545952, 0.7510084, 0.7501947, 0.7477978, 0.7434107, 0.7428625, 0.7412752, 0.7408737, 0.7404749, 0.7388649, 0.7367253, 0.7356783, 0.7336481, 0.7320515, 0.7312632, 0.7301894, 0.7299333, 0.7281966, 0.7263359, 0.7263359, 0.7237935, 0.7231452, 0.7227371, 0.7225744, 0.7221808, 0.7192744, 0.7189836, 0.7187395, 0.7187395, 0.7187302, 0.7183207, 0.7180432, 0.7172803, 0.7172549, 0.7169974, 0.7156663, 0.7156582, 0.7151154, 0.7136615, 0.7135441, 0.7118061, 0.7111311, 0.7096705, 0.7058063, 0.7058063, 0.7054102, 0.705006, 0.7034147, 0.7034147, 0.7024397, 0.7012498, 0.7002108, 0.7002081, 0.7002081, 0.700048, 0.6997786, 0.6969841, 0.6969841, 0.6967507, 0.6967507, 0.6965986, 0.6964492, 0.6951461, 0.6946125, 0.692589, 0.692589, 0.6924543, 0.6901734, 0.6895171, 0.6893837, 0.6880632, 0.6871122, 0.6862051, 0.6859197, 0.6838175, 0.6838175, 0.6836801, 0.6829825, 0.6812738]"},{"name":"coverage","value":"1226","array_data":"[1226, 1156, 1132, 1136, 1446, 1406, 1493, 1479, 1509, 1460, 1331, 1725, 1242, 1482, 1467, 1366, 1422, 1644, 1702, 1421, 1386, 1620, 1361, 1627, 1567, 1314, 1604, 1356, 1385, 1362, 1556, 1676, 1294, 1881, 1815, 1587, 1725, 1519, 1584, 1468, 1468, 1643, 1284, 1443, 2016, 1889, 1365, 1835, 1395, 1395, 1577, 1762, 1972, 1250, 1744, 1564, 1522, 1678, 1864, 1615, 1304, 1395, 1556, 1437, 1388, 1388, 1313, 1394, 1224, 1224, 2037, 1838, 1300, 1352, 1352, 1873, 1927, 1818, 1818, 1170, 1170, 1535, 1848, 1260, 1264, 1721, 1721, 1748, 2025, 1822, 1823, 1573, 1918, 1405, 1771, 1163, 1163, 1242, 1845, 1364]"},{"name":"positives","value":"287","array_data":"[287, 282, 278, 275, 286, 281, 284, 283, 282, 279, 274, 288, 269, 278, 277, 273, 275, 283, 285, 274, 272, 280, 269, 279, 276, 265, 276, 266, 267, 266, 273, 277, 262, 284, 281, 272, 277, 269, 271, 266, 266, 272, 258, 264, 286, 281, 260, 278, 261, 261, 268, 275, 283, 255, 274, 267, 265, 271, 278, 268, 256, 259, 265, 260, 257, 257, 254, 257, 250, 250, 281, 273, 252, 254, 254, 274, 276, 271, 271, 246, 246, 260, 272, 249, 249, 266, 266, 267, 277, 269, 269, 259, 272, 252, 266, 242, 242, 245, 268, 249]"},{"name":"probability","value":"0.2340946","array_data":"[0.2340946, 0.2439446, 0.245583, 0.2420775, 0.197787, 0.1998578, 0.190221, 0.1913455, 0.1868787, 0.1910959, 0.2058603, 0.1669565, 0.2165862, 0.1875843, 0.1888207, 0.1998536, 0.1933896, 0.1721411, 0.1674501, 0.192822, 0.1962482, 0.1728395, 0.1976488, 0.1714813, 0.1761327, 0.2016743, 0.1720698, 0.1961652, 0.1927798, 0.195301, 0.1754499, 0.1652745, 0.202473, 0.1509835, 0.1548209, 0.1713926, 0.1605797, 0.1770902, 0.1710859, 0.1811989, 0.1811989, 0.1655508, 0.2009346, 0.1829522, 0.1418651, 0.148756, 0.1904762, 0.1514986, 0.1870968, 0.1870968, 0.1699429, 0.1560726, 0.1435091, 0.204, 0.1571101, 0.1707161, 0.174113, 0.1615018, 0.1491416, 0.1659443, 0.196319, 0.1856631, 0.1703085, 0.1809325, 0.1851585, 0.1851585, 0.1934501, 0.1843615, 0.2042484, 0.2042484, 0.137948, 0.148531, 0.1938462, 0.1878698, 0.1878698, 0.1462894, 0.1432278, 0.1490649, 0.1490649, 0.2102564, 0.2102564, 0.1693811, 0.1471861, 0.197619, 0.1969937, 0.1545613, 0.1545613, 0.152746, 0.1367901, 0.14764, 0.147559, 0.1646535, 0.1418144, 0.1793594, 0.1501976, 0.2080825, 0.2080825, 0.1972625, 0.1452575, 0.1825513]"},{"name":"joint_entropy","value":"3.917036320526948"},{"name":"pattern_team_auroc10","value":"0.9157082833133252"}]}}}