{"run":{"run_id":"915815","uploader":"1","uploader_name":"Jan van Rijn","task_id":"54467","task_type":"Subgroup Discovery","flow_id":"4221","flow_name":"SubgroupDiscovery(1)","setup_id":"7943","error":[],"setup_string":"{\"overall_ranking_loss\":\"0.0\",\"post_processing_count\":\"20\",\"search_depth\":\"2\",\"maximum_time\":\"1.0\",\"search_strategy_width\":\"1\",\"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":"2","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-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":"470","name":"profb","url":"https:\/\/www.openml.org\/data\/download\/52582\/profb.arff"}},"output_data":{"file":[{"did":"-1","file_id":"2706147","name":"description","url":"https:\/\/www.openml.org\/data\/download\/2706147\/run7791977003420665797.xml"},{"did":"-1","file_id":"2706148","name":"subgroups","url":"https:\/\/www.openml.org\/data\/download\/2706148\/subgroups7727543050600854280.csv"}],"evaluation":[{"name":"cortana_quality","value":"0.28125","array_data":"[0.28125, 0.2700893, 0.2678571, 0.265625, 0.265625, 0.2611607, 0.2566964, 0.2477679, 0.2433036, 0.2433036, 0.2276786, 0.2008929, 0.15625, 0.1227679, 0.109375, 0.0915179, 0.0870536, 0.0647321, 0.0625, 0.0625, 0.0535714, 0.0513393, 0.046875, 0.046875, 0.046875, 0.0446429, 0.0446429, 0.0401786, 0.0401786, 0.0401786, 0.0401786, 0.0379464, 0.0379464, 0.0357143, 0.0357143, 0.0357143, 0.0357143, 0.0357143, 0.0357143, 0.0357143, 0.0334821, 0.0334821, 0.03125, 0.03125, 0.03125, 0.03125, 0.03125, 0.03125, 0.03125, 0.0290179, 0.0267857, 0.0267857, 0.0267857, 0.0245536, 0.0245536, 0.0245536, 0.0245536, 0.0245536, 0.0245536, 0.0245536, 0.0245536, 0.0245536, 0.0223214, 0.0223214, 0.0223214, 0.0223214, 0.0223214, 0.0223214, 0.0223214, 0.0223214, 0.0223214, 0.0223214, 0.0223214, 0.0223214, 0.0223214, 0.0223214, 0.0200893, 0.0200893, 0.0200893, 0.0200893, 0.0200893, 0.0200893, 0.0200893, 0.0200893, 0.0200893, 0.0200893, 0.0178571, 0.0178571, 0.0178571, 0.0178571, 0.0178571, 0.0178571, 0.0178571, 0.0178571, 0.0178571, 0.0178571, 0.0178571, 0.0178571, 0.015625, 0.015625]"},{"name":"coverage","value":"306","array_data":"[306, 329, 261, 334, 331, 318, 317, 321, 314, 308, 273, 219, 233, 260, 101, 118, 393, 115, 77, 77, 24, 421, 48, 48, 21, 43, 43, 27, 27, 21, 12, 634, 25, 44, 44, 17, 17, 14, 14, 14, 42, 21, 448, 22, 22, 19, 16, 16, 10, 41, 42, 39, 9, 640, 40, 40, 40, 28, 16, 16, 10, 7, 224, 41, 38, 35, 29, 29, 26, 23, 20, 20, 17, 14, 14, 14, 51, 42, 39, 36, 27, 24, 24, 15, 6, 6, 37, 31, 25, 19, 19, 13, 13, 13, 13, 10, 7, 4, 521, 44]"},{"name":"positives","value":"144","array_data":"[144, 150, 127, 151, 150, 145, 144, 144, 141, 139, 125, 103, 101, 105, 50, 53, 144, 48, 35, 35, 16, 148, 23, 23, 14, 21, 21, 15, 15, 13, 10, 217, 14, 20, 20, 11, 11, 10, 10, 10, 19, 12, 154, 12, 12, 11, 10, 10, 8, 18, 18, 17, 7, 217, 17, 17, 17, 13, 9, 9, 7, 6, 78, 17, 16, 15, 13, 13, 12, 11, 10, 10, 9, 8, 8, 8, 20, 17, 16, 15, 12, 11, 11, 8, 5, 5, 15, 13, 11, 9, 9, 7, 7, 7, 7, 6, 5, 4, 176, 17]"},{"name":"probability","value":"0.4705882","array_data":"[0.4705882, 0.4559271, 0.48659, 0.4520958, 0.4531722, 0.4559748, 0.4542587, 0.4485981, 0.4490446, 0.4512987, 0.4578755, 0.4703196, 0.4334764, 0.4038462, 0.4950495, 0.4491525, 0.3664122, 0.4173913, 0.4545455, 0.4545455, 0.6666667, 0.3515439, 0.4791667, 0.4791667, 0.6666667, 0.4883721, 0.4883721, 0.5555556, 0.5555556, 0.6190476, 0.8333333, 0.3422713, 0.56, 0.4545455, 0.4545455, 0.6470588, 0.6470588, 0.7142857, 0.7142857, 0.7142857, 0.452381, 0.5714286, 0.34375, 0.5454545, 0.5454545, 0.5789474, 0.625, 0.625, 0.8, 0.4390244, 0.4285714, 0.4358974, 0.7777778, 0.3390625, 0.425, 0.425, 0.425, 0.4642857, 0.5625, 0.5625, 0.7, 0.8571429, 0.3482143, 0.4146341, 0.4210526, 0.4285714, 0.4482759, 0.4482759, 0.4615385, 0.4782609, 0.5, 0.5, 0.5294118, 0.5714286, 0.5714286, 0.5714286, 0.3921569, 0.4047619, 0.4102564, 0.4166667, 0.4444444, 0.4583333, 0.4583333, 0.5333333, 0.8333333, 0.8333333, 0.4054054, 0.4193548, 0.44, 0.4736842, 0.4736842, 0.5384615, 0.5384615, 0.5384615, 0.5384615, 0.6, 0.7142857, 1.0, 0.3378119, 0.3863636]"},{"name":"joint_entropy","value":"6.835681920548015"},{"name":"pattern_team_auroc10","value":"0.6354382573341837"}]}}}