{"run":{"run_id":"1792908","uploader":"1","uploader_name":"Jan van Rijn","task_id":"53135","task_type":"Subgroup Discovery","flow_id":"4221","flow_name":"SubgroupDiscovery(1)","setup_id":"8873","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\":\"all\",\"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":"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":"all","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":"12","name":"mfeat-factors","url":"https:\/\/www.openml.org\/data\/download\/12\/dataset_12_mfeat-factors.arff"}},"output_data":{"file":[{"did":"-1","file_id":"4499153","name":"description","url":"https:\/\/www.openml.org\/data\/download\/4499153\/run3245528917889841192.xml"},{"did":"-1","file_id":"4499154","name":"subgroups","url":"https:\/\/www.openml.org\/data\/download\/4499154\/subgroups3382052481668985414.csv"}],"evaluation":[{"name":"cortana_quality","value":"0.8783333","array_data":"[0.8783333, 0.8733333, 0.8733333, 0.8727778, 0.8727778, 0.8705556, 0.8705556, 0.8694444, 0.8694444, 0.8688889, 0.8688889, 0.8688889, 0.8683333, 0.8683333, 0.8683333, 0.8677778, 0.8677778, 0.8677778, 0.8677778, 0.8672222, 0.8672222, 0.8672222, 0.8672222, 0.8672222, 0.8666667, 0.8666667, 0.8666667, 0.8666667, 0.8666667, 0.8661111, 0.8661111, 0.8661111, 0.8661111, 0.8661111, 0.8655556, 0.8655556, 0.8655556, 0.8655556, 0.8655556, 0.865, 0.865, 0.865, 0.865, 0.8644444, 0.8644444, 0.8644444, 0.8644444, 0.8644444, 0.8638889, 0.8638889, 0.8638889, 0.8638889, 0.8633333, 0.8633333, 0.8633333, 0.8633333, 0.8633333, 0.8633333, 0.8633333, 0.8633333, 0.8633333, 0.8633333, 0.8627778, 0.8627778, 0.8627778, 0.8627778, 0.8627778, 0.8627778, 0.8627778, 0.8627778, 0.8627778, 0.8627778, 0.8627778, 0.8627778, 0.8622222, 0.8622222, 0.8622222, 0.8622222, 0.8622222, 0.8622222, 0.8622222, 0.8622222, 0.8622222, 0.8622222, 0.8622222, 0.8622222, 0.8622222, 0.8622222, 0.8616667, 0.8616667, 0.8616667, 0.8616667, 0.8616667, 0.8616667, 0.8616667, 0.8616667, 0.8616667, 0.8616667, 0.8616667, 0.8616667]"},{"name":"coverage","value":"319","array_data":"[319, 308, 298, 309, 279, 343, 303, 345, 305, 356, 346, 336, 357, 347, 337, 358, 328, 298, 288, 359, 349, 339, 289, 269, 370, 360, 360, 340, 270, 371, 361, 361, 341, 331, 372, 362, 362, 352, 322, 373, 373, 363, 363, 374, 364, 344, 334, 324, 345, 335, 285, 285, 366, 366, 346, 346, 336, 336, 336, 326, 266, 266, 377, 367, 357, 357, 347, 347, 337, 337, 337, 327, 317, 297, 378, 368, 368, 358, 348, 348, 348, 338, 338, 338, 338, 328, 328, 328, 379, 379, 369, 369, 369, 359, 359, 359, 359, 349, 349, 349]"},{"name":"positives","value":"190","array_data":"[190, 188, 187, 188, 185, 191, 187, 191, 187, 192, 191, 190, 192, 191, 190, 192, 189, 186, 185, 192, 191, 190, 185, 183, 193, 192, 192, 190, 183, 193, 192, 192, 190, 189, 193, 192, 192, 191, 188, 193, 193, 192, 192, 193, 192, 190, 189, 188, 190, 189, 184, 184, 192, 192, 190, 190, 189, 189, 189, 188, 182, 182, 193, 192, 191, 191, 190, 190, 189, 189, 189, 188, 187, 185, 193, 192, 192, 191, 190, 190, 190, 189, 189, 189, 189, 188, 188, 188, 193, 193, 192, 192, 192, 191, 191, 191, 191, 190, 190, 190]"},{"name":"probability","value":"0.5956113","array_data":"[0.5956113, 0.6103896, 0.6275168, 0.6084142, 0.6630824, 0.5568513, 0.6171617, 0.5536232, 0.6131148, 0.5393258, 0.5520231, 0.5654762, 0.5378151, 0.5504323, 0.5637982, 0.5363128, 0.5762195, 0.6241611, 0.6423611, 0.5348189, 0.5472779, 0.560472, 0.6401384, 0.6802974, 0.5216216, 0.5333333, 0.5333333, 0.5588235, 0.6777778, 0.5202156, 0.531856, 0.531856, 0.5571848, 0.570997, 0.5188172, 0.5303867, 0.5303867, 0.5426136, 0.5838509, 0.5174263, 0.5174263, 0.5289256, 0.5289256, 0.5160428, 0.5274725, 0.5523256, 0.5658683, 0.5802469, 0.5507246, 0.5641791, 0.645614, 0.645614, 0.5245902, 0.5245902, 0.5491329, 0.5491329, 0.5625, 0.5625, 0.5625, 0.5766871, 0.6842105, 0.6842105, 0.5119363, 0.5231608, 0.535014, 0.535014, 0.5475504, 0.5475504, 0.5608309, 0.5608309, 0.5608309, 0.5749235, 0.5899054, 0.6228956, 0.510582, 0.5217391, 0.5217391, 0.5335196, 0.545977, 0.545977, 0.545977, 0.5591716, 0.5591716, 0.5591716, 0.5591716, 0.5731707, 0.5731707, 0.5731707, 0.5092348, 0.5092348, 0.5203252, 0.5203252, 0.5203252, 0.5320334, 0.5320334, 0.5320334, 0.5320334, 0.5444126, 0.5444126, 0.5444126]"},{"name":"joint_entropy","value":"1.7191327694518093"},{"name":"pattern_team_auroc10","value":"0.955486111111111"}]}}}