{"run":{"run_id":"1252315","uploader":"1","uploader_name":"Jan van Rijn","task_id":"54467","task_type":"Subgroup Discovery","flow_id":"4221","flow_name":"SubgroupDiscovery(1)","setup_id":"8312","error":[],"setup_string":"{\"overall_ranking_loss\":\"0.0\",\"post_processing_count\":\"20\",\"search_depth\":\"3\",\"maximum_time\":\"1.0\",\"search_strategy_width\":\"4\",\"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":"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":"4","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":"470","name":"profb","url":"https:\/\/www.openml.org\/data\/download\/52582\/profb.arff"}},"output_data":{"file":[{"did":"-1","file_id":"3384916","name":"description","url":"https:\/\/www.openml.org\/data\/download\/3384916\/run1199744807205156933.xml"},{"did":"-1","file_id":"3384917","name":"subgroups","url":"https:\/\/www.openml.org\/data\/download\/3384917\/subgroups7913092339809871154.csv"}],"evaluation":[{"name":"cortana_quality","value":"0.2901786","array_data":"[0.2901786, 0.2879464, 0.2879464, 0.2857143, 0.2857143, 0.2857143, 0.2857143, 0.2857143, 0.2834821, 0.2834821, 0.2834821, 0.2834821, 0.2834821, 0.2834821, 0.2834821, 0.2834821, 0.28125, 0.28125, 0.28125, 0.28125, 0.28125, 0.28125, 0.28125, 0.28125, 0.28125, 0.28125, 0.28125, 0.2790179, 0.2790179, 0.2790179, 0.2790179, 0.2790179, 0.2790179, 0.2790179, 0.2790179, 0.2790179, 0.2790179, 0.2790179, 0.2790179, 0.2790179, 0.2767857, 0.2767857, 0.2767857, 0.2767857, 0.2767857, 0.2767857, 0.2767857, 0.2767857, 0.2767857, 0.2767857, 0.2767857, 0.2745536, 0.2745536, 0.2745536, 0.2745536, 0.2745536, 0.2745536, 0.2745536, 0.2745536, 0.2723214, 0.2723214, 0.2723214, 0.2723214, 0.2723214, 0.2723214, 0.2723214, 0.2723214, 0.2723214, 0.2723214, 0.2723214, 0.2700893, 0.2700893, 0.2700893, 0.2700893, 0.2700893, 0.2700893, 0.2700893, 0.2700893, 0.2700893, 0.2700893, 0.2700893, 0.2700893, 0.2678571, 0.2678571, 0.2678571, 0.2678571, 0.2678571, 0.2678571, 0.2678571, 0.2678571, 0.2678571, 0.2678571, 0.265625, 0.265625, 0.265625, 0.265625, 0.265625, 0.265625, 0.265625, 0.265625]"},{"name":"coverage","value":"317","array_data":"[317, 318, 300, 322, 313, 313, 307, 250, 323, 320, 308, 305, 302, 296, 296, 290, 321, 318, 309, 306, 306, 306, 303, 303, 303, 300, 285, 319, 319, 316, 316, 307, 304, 301, 298, 292, 286, 283, 247, 235, 317, 302, 302, 302, 302, 299, 299, 296, 290, 281, 248, 327, 306, 306, 303, 300, 279, 246, 234, 328, 289, 289, 286, 286, 286, 286, 286, 286, 271, 232, 329, 317, 317, 308, 305, 302, 302, 284, 284, 284, 284, 284, 333, 324, 318, 300, 300, 300, 294, 285, 285, 261, 334, 334, 334, 331, 319, 313, 313, 313]"},{"name":"positives","value":"149","array_data":"[149, 149, 143, 150, 147, 147, 145, 126, 150, 149, 145, 144, 143, 141, 141, 139, 149, 148, 145, 144, 144, 144, 143, 143, 143, 142, 137, 148, 148, 147, 147, 144, 143, 142, 141, 139, 137, 136, 124, 120, 147, 142, 142, 142, 142, 141, 141, 140, 138, 135, 124, 150, 143, 143, 142, 141, 134, 123, 119, 150, 137, 137, 136, 136, 136, 136, 136, 136, 131, 118, 150, 146, 146, 143, 142, 141, 141, 135, 135, 135, 135, 135, 151, 148, 146, 140, 140, 140, 138, 135, 135, 127, 151, 151, 151, 150, 146, 144, 144, 144]"},{"name":"probability","value":"0.4700315","array_data":"[0.4700315, 0.4685535, 0.4766667, 0.4658385, 0.4696486, 0.4696486, 0.4723127, 0.504, 0.4643963, 0.465625, 0.4707792, 0.4721311, 0.4735099, 0.4763514, 0.4763514, 0.4793103, 0.4641745, 0.4654088, 0.4692557, 0.4705882, 0.4705882, 0.4705882, 0.4719472, 0.4719472, 0.4719472, 0.4733333, 0.4807018, 0.4639498, 0.4639498, 0.4651899, 0.4651899, 0.4690554, 0.4703947, 0.4717608, 0.4731544, 0.4760274, 0.479021, 0.4805654, 0.5020243, 0.5106383, 0.4637224, 0.4701987, 0.4701987, 0.4701987, 0.4701987, 0.4715719, 0.4715719, 0.472973, 0.4758621, 0.480427, 0.5, 0.4587156, 0.4673203, 0.4673203, 0.4686469, 0.47, 0.4802867, 0.5, 0.508547, 0.4573171, 0.4740484, 0.4740484, 0.4755245, 0.4755245, 0.4755245, 0.4755245, 0.4755245, 0.4755245, 0.4833948, 0.5086207, 0.4559271, 0.4605678, 0.4605678, 0.4642857, 0.4655738, 0.4668874, 0.4668874, 0.4753521, 0.4753521, 0.4753521, 0.4753521, 0.4753521, 0.4534535, 0.4567901, 0.4591195, 0.4666667, 0.4666667, 0.4666667, 0.4693878, 0.4736842, 0.4736842, 0.48659, 0.4520958, 0.4520958, 0.4520958, 0.4531722, 0.4576803, 0.4600639, 0.4600639, 0.4600639]"},{"name":"joint_entropy","value":"2.587837721369778"},{"name":"pattern_team_auroc10","value":"0.6552634725765307"}]}}}