{"run":{"run_id":"712071","uploader":"1","uploader_name":"Jan van Rijn","task_id":"53887","task_type":"Subgroup Discovery","flow_id":"4221","flow_name":"SubgroupDiscovery(1)","setup_id":"7718","error":[],"setup_string":"{\"overall_ranking_loss\":\"0.0\",\"post_processing_count\":\"20\",\"search_depth\":\"1\",\"maximum_time\":\"1.0\",\"search_strategy_width\":\"16\",\"numeric_strategy\":\"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\":\"128\",\"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":"16","component":"4221"},{"name":"numeric_operators","value":"≤, ≥<\/html>","component":"4221"},{"name":"numeric_strategy","value":"bins","component":"4221"},{"name":"nr_bins","value":"128","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":"2298653","name":"description","url":"https:\/\/www.openml.org\/data\/download\/2298653\/run8145744600224174832.xml"},{"did":"-1","file_id":"2298654","name":"subgroups","url":"https:\/\/www.openml.org\/data\/download\/2298654\/subgroups3792411862587826120.csv"}],"evaluation":[{"name":"cortana_quality","value":"0.9089035","array_data":"[0.9089035, 0.9077004, 0.8995638, 0.8962398, 0.8954301, 0.8948939, 0.88996, 0.8867574, 0.8855542, 0.8822235, 0.8808937, 0.8798239, 0.8784874, 0.878366, 0.8774176, 0.8763572, 0.8744871, 0.8738269, 0.8716874, 0.8703508, 0.8692811, 0.8680966, 0.8667507, 0.8659664, 0.865957, 0.8647726, 0.8640963, 0.8636935, 0.8635508, 0.8623476, 0.8614299, 0.8610111, 0.8603695, 0.8593091, 0.8588809, 0.8576778, 0.8572869, 0.8567694, 0.8552794, 0.854211, 0.8530079, 0.8530079, 0.8518234, 0.850887, 0.8495505, 0.8495438, 0.8495411, 0.8487661, 0.8478151, 0.845014, 0.8450047, 0.8448713, 0.8443471, 0.8434107, 0.8426264, 0.8423409, 0.8416994, 0.841538, 0.8405055, 0.839277, 0.8368681, 0.8367347, 0.8366013, 0.8358357, 0.8352741, 0.834071, 0.8330199, 0.8322076, 0.8320835, 0.8315753, 0.8311378, 0.830871, 0.8302294, 0.8288835, 0.8287315, 0.8287315, 0.8287315, 0.8278231, 0.826632, 0.8264866, 0.8264772, 0.8254008, 0.8252648, 0.8242137, 0.8238135, 0.8230012, 0.8230012, 0.822601, 0.822477, 0.8220928, 0.8218074, 0.820747, 0.8206229, 0.8206043, 0.8205949, 0.8205949, 0.8204615, 0.8198293, 0.8195345, 0.81835]"},{"name":"coverage","value":"853","array_data":"[853, 914, 975, 792, 980, 1036, 1047, 1097, 1158, 1105, 1037, 1097, 1159, 926, 1219, 1097, 1163, 1038, 1158, 1220, 1280, 977, 1221, 915, 1097, 794, 981, 1036, 1219, 1280, 975, 1342, 853, 731, 1280, 1341, 1162, 854, 1307, 1341, 1402, 1402, 1099, 1158, 1220, 1350, 1402, 914, 1259, 1280, 1462, 1463, 1285, 1344, 1038, 1404, 915, 1462, 794, 1349, 1523, 1524, 1525, 855, 1405, 1466, 1162, 1402, 1221, 731, 1462, 1464, 975, 1219, 1584, 1584, 1584, 1097, 924, 1159, 1341, 1531, 1584, 1280, 1283, 1523, 1523, 1526, 1345, 1036, 1402, 1280, 1099, 1463, 1645, 1645, 1646, 975, 1523, 1220]"},{"name":"positives","value":"295","array_data":"[295, 297, 297, 289, 296, 298, 297, 298, 300, 297, 294, 296, 298, 289, 300, 295, 297, 292, 296, 298, 300, 288, 297, 285, 292, 280, 287, 289, 296, 298, 286, 300, 281, 276, 297, 299, 292, 280, 297, 298, 300, 300, 288, 290, 292, 297, 299, 280, 293, 293, 300, 300, 293, 295, 283, 297, 278, 299, 273, 294, 300, 300, 300, 274, 295, 297, 285, 294, 287, 268, 296, 296, 277, 286, 300, 300, 300, 281, 274, 283, 290, 297, 299, 287, 287, 296, 296, 296, 289, 277, 291, 286, 279, 293, 300, 300, 300, 274, 295, 283]"},{"name":"probability","value":"0.3458382","array_data":"[0.3458382, 0.3249453, 0.3046154, 0.364899, 0.3020408, 0.2876448, 0.2836676, 0.27165, 0.2590674, 0.2687783, 0.2835101, 0.2698268, 0.2571182, 0.312095, 0.2461034, 0.2689152, 0.255374, 0.2813102, 0.2556131, 0.2442623, 0.234375, 0.2947799, 0.2432432, 0.3114754, 0.2661805, 0.3526448, 0.2925586, 0.2789575, 0.242822, 0.2328125, 0.2933333, 0.2235469, 0.3294256, 0.377565, 0.2320313, 0.2229679, 0.2512909, 0.3278689, 0.2272379, 0.2222222, 0.21398, 0.21398, 0.2620564, 0.2504318, 0.2393443, 0.22, 0.2132668, 0.3063457, 0.2327244, 0.2289063, 0.2051984, 0.2050581, 0.2280156, 0.219494, 0.2726397, 0.2115385, 0.3038251, 0.2045144, 0.3438287, 0.2179392, 0.1969796, 0.1968504, 0.1967213, 0.3204678, 0.2099644, 0.2025921, 0.2452668, 0.2097004, 0.2350532, 0.3666211, 0.2024624, 0.2021858, 0.2841026, 0.2346185, 0.1893939, 0.1893939, 0.1893939, 0.2561531, 0.2965368, 0.244176, 0.2162565, 0.1939909, 0.1887626, 0.2242188, 0.2236945, 0.1943533, 0.1943533, 0.1939712, 0.2148699, 0.2673745, 0.2075606, 0.2234375, 0.2538672, 0.2002734, 0.1823708, 0.1823708, 0.18226, 0.2810256, 0.1936967, 0.2319672]"},{"name":"joint_entropy","value":"2.9787340600874987"},{"name":"pattern_team_auroc10","value":"0.9536089991552177"}]}}}