{"run":{"run_id":"1205143","uploader":"1","uploader_name":"Jan van Rijn","task_id":"53075","task_type":"Subgroup Discovery","flow_id":"4221","flow_name":"SubgroupDiscovery(1)","setup_id":"8260","error":[],"setup_string":"{\"overall_ranking_loss\":\"0.0\",\"post_processing_count\":\"20\",\"search_depth\":\"3\",\"maximum_time\":\"1.0\",\"search_strategy_width\":\"1\",\"numeric_strategy\":\"best\",\"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\":\"8\",\"maximum_subgroups\":\"100\"}","parameter_setting":[{"name":"search_depth","value":"3","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","component":"4221"},{"name":"nr_bins","value":"8","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":"6","name":"letter","url":"https:\/\/www.openml.org\/data\/download\/6\/dataset_6_letter.arff"}},"output_data":{"file":[{"did":"-1","file_id":"3287295","name":"description","url":"https:\/\/www.openml.org\/data\/download\/3287295\/run668114115146695223.xml"},{"did":"-1","file_id":"3287296","name":"subgroups","url":"https:\/\/www.openml.org\/data\/download\/3287296\/subgroups5097677737816416218.csv"}],"evaluation":[{"name":"cortana_quality","value":"0.5330091","array_data":"[0.5330091, 0.5029773, 0.5023708, 0.5023007, 0.5020404, 0.5017802, 0.5014679, 0.5006872, 0.5003749, 0.5001146, 0.5000626, 0.5000626, 0.5000626, 0.5000411, 0.4999585, 0.4998024, 0.4997503, 0.4996462, 0.4971049, 0.4960425, 0.4937614, 0.4935532, 0.4934491, 0.4931674, 0.4897933, 0.4878246, 0.4874149, 0.4864498, 0.4845025, 0.4834921, 0.4735351, 0.4720563, 0.4442026, 0.4380575, 0.4351247, 0.4301281, 0.4276637, 0.4255999, 0.4243632, 0.4242896, 0.4234048, 0.4231355, 0.4227678, 0.4201134, 0.4199606, 0.4199606, 0.4189717, 0.4188766, 0.4177225, 0.4176705, 0.4174623, 0.4173061, 0.417202, 0.41715, 0.4169905, 0.4156497, 0.4155307, 0.4135462, 0.4109834, 0.4109529, 0.4074012, 0.4072417, 0.4040056, 0.3544011, 0.3196691, 0.2617499, 0.2219739, 0.1967829, 0.1961688, 0.1894744, 0.181499, 0.1742544, 0.1587323, 0.1465565, 0.1355414, 0.1313451, 0.1216176, 0.1199498, 0.1156131, 0.1047264, 0.0988331, 0.062542, 0.060943, 0.0526176, 0.0383164, 0.0344038, 0.0338464, 0.0305619, 0.0219471, 0.0209075, 0.0111387, 0.0031117, 0.0026545, 0.0021239, -2.989E-4, -3.123E-4]"},{"name":"coverage","value":"941","array_data":"[941, 1518, 1428, 1531, 1536, 1541, 1547, 1562, 1568, 1573, 1574, 1574, 1574, 1549, 1576, 1579, 1580, 1582, 1580, 1575, 1568, 1572, 1574, 1554, 1568, 1555, 1817, 1556, 1568, 1562, 1550, 1553, 2571, 2562, 2720, 2816, 2965, 2903, 3003, 2979, 2996, 3052, 2932, 2983, 3113, 3113, 3132, 3083, 3156, 3157, 3161, 3164, 3166, 3167, 3043, 3145, 10822, 3160, 3133, 3159, 3151, 3027, 3140, 13013, 923, 14971, 14922, 514, 12292, 15521, 13260, 11849, 14841, 1479, 15744, 13817, 14995, 15332, 13611, 17810, 8063, 15698, 16669, 16524, 12936, 19339, 16783, 15855, 7558, 19395, 17448, 19127, 19949, 19578, 7960, 6]"},{"name":"positives","value":"440","array_data":"[440, 440, 436, 440, 440, 440, 440, 440, 440, 440, 440, 440, 440, 439, 440, 440, 440, 440, 438, 437, 435, 435, 435, 434, 432, 430, 440, 429, 428, 427, 419, 418, 437, 432, 436, 436, 440, 436, 439, 438, 438, 440, 435, 435, 440, 440, 440, 438, 440, 440, 440, 440, 440, 440, 435, 438, 740, 437, 434, 435, 432, 427, 429, 780, 278, 787, 755, 169, 632, 754, 659, 598, 704, 169, 722, 643, 682, 694, 623, 780, 392, 665, 702, 690, 538, 787, 686, 647, 314, 779, 695, 755, 787, 772, 313, 0]"},{"name":"probability","value":"0.4675877","array_data":"[0.4675877, 0.2898551, 0.3053221, 0.2873939, 0.2864583, 0.2855289, 0.2844215, 0.2816901, 0.2806122, 0.2797203, 0.2795426, 0.2795426, 0.2795426, 0.2834087, 0.2791878, 0.2786574, 0.278481, 0.278129, 0.2772152, 0.2774603, 0.2774235, 0.2767176, 0.2763659, 0.2792793, 0.2755102, 0.2765273, 0.2421574, 0.2757069, 0.2729592, 0.2733675, 0.2703226, 0.2691565, 0.1699728, 0.1686183, 0.1602941, 0.1548295, 0.148398, 0.1501895, 0.1461871, 0.1470292, 0.1461949, 0.1441678, 0.1483629, 0.1458263, 0.1413428, 0.1413428, 0.1404853, 0.1420694, 0.139417, 0.1393728, 0.1391965, 0.1390645, 0.1389766, 0.1389327, 0.142951, 0.1392687, 0.0683792, 0.1382911, 0.1385254, 0.1377018, 0.1370993, 0.1410638, 0.1366242, 0.0599401, 0.3011918, 0.0525683, 0.0505964, 0.3287938, 0.0514156, 0.0485793, 0.0496983, 0.0504684, 0.0474362, 0.1142664, 0.0458587, 0.0465369, 0.0454818, 0.0452648, 0.0457718, 0.0437956, 0.0486171, 0.0423621, 0.0421141, 0.0417574, 0.0415894, 0.040695, 0.0408747, 0.0408073, 0.0415454, 0.040165, 0.0398326, 0.039473, 0.0394506, 0.039432, 0.0393216, 0.0]"},{"name":"joint_entropy","value":"8.028968499852885"},{"name":"pattern_team_auroc10","value":"0.7164998603563568"}]}}}