{"run":{"run_id":"993070","uploader":"1","uploader_name":"Jan van Rijn","task_id":"56571","task_type":"Subgroup Discovery","flow_id":"4221","flow_name":"SubgroupDiscovery(1)","setup_id":"8028","error":[],"setup_string":"{\"overall_ranking_loss\":\"0.0\",\"post_processing_count\":\"20\",\"search_depth\":\"2\",\"maximum_time\":\"1.0\",\"search_strategy_width\":\"16\",\"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\":\"2\",\"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":"16","component":"4221"},{"name":"numeric_operators","value":"≤, ≥<\/html>","component":"4221"},{"name":"numeric_strategy","value":"best-bins","component":"4221"},{"name":"nr_bins","value":"2","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":"1457","name":"amazon-commerce-reviews","url":"https:\/\/www.openml.org\/data\/download\/1586202\/phpr1uf8O"}},"output_data":{"file":[{"did":"-1","file_id":"2860660","name":"description","url":"https:\/\/www.openml.org\/data\/download\/2860660\/run2554958724624270350.xml"},{"did":"-1","file_id":"2860661","name":"subgroups","url":"https:\/\/www.openml.org\/data\/download\/2860661\/subgroups7958590260853682305.csv"}],"evaluation":[{"name":"cortana_quality","value":"0.4972789","array_data":"[0.4972789, 0.4795918, 0.4782313, 0.4768707, 0.4727891, 0.4721088, 0.4721088, 0.4693878, 0.4687075, 0.4673469, 0.4666667, 0.4666667, 0.4666667, 0.462585, 0.462585, 0.4619048, 0.4578231, 0.4578231, 0.455102, 0.455102, 0.4537415, 0.4530612, 0.452381, 0.4517007, 0.4510204, 0.4503401, 0.4496599, 0.4489796, 0.4489796, 0.4489796, 0.4489796, 0.4489796, 0.4489796, 0.4489796, 0.4482993, 0.4482993, 0.4469388, 0.4469388, 0.4455782, 0.4448979, 0.4448979, 0.4442177, 0.4435374, 0.4428571, 0.4428571, 0.4428571, 0.4428571, 0.4428571, 0.4421769, 0.4414966, 0.4408163, 0.4408163, 0.4408163, 0.4408163, 0.440136, 0.4394558, 0.4394558, 0.4387755, 0.4387755, 0.4387755, 0.4387755, 0.4387755, 0.4380952, 0.4380952, 0.4380952, 0.437415, 0.4367347, 0.4367347, 0.4360544, 0.4360544, 0.4360544, 0.4360544, 0.4360544, 0.4353741, 0.4353741, 0.4353741, 0.4353741, 0.4353741, 0.4353741, 0.4340136, 0.4333333, 0.4333333, 0.4326531, 0.4326531, 0.4326531, 0.4326531, 0.4319728, 0.4319728, 0.4319728, 0.4319728, 0.4319728, 0.4319728, 0.4312925, 0.4312925, 0.4312925, 0.4312925, 0.4306122, 0.429932, 0.429932, 0.429932]"},{"name":"coverage","value":"469","array_data":"[469, 695, 547, 649, 605, 706, 656, 810, 461, 713, 814, 764, 714, 720, 670, 771, 727, 577, 631, 581, 783, 684, 735, 736, 787, 838, 689, 740, 740, 740, 690, 590, 540, 540, 741, 691, 743, 543, 695, 846, 796, 647, 748, 699, 699, 699, 599, 599, 850, 751, 802, 802, 652, 602, 753, 604, 554, 805, 755, 705, 555, 505, 606, 556, 506, 657, 758, 708, 859, 709, 509, 509, 459, 760, 760, 710, 660, 560, 410, 762, 663, 663, 814, 664, 614, 464, 815, 715, 665, 565, 465, 465, 766, 766, 616, 616, 517, 818, 768, 668]"},{"name":"positives","value":"24","array_data":"[24, 28, 25, 27, 26, 28, 27, 30, 23, 28, 30, 29, 28, 28, 27, 29, 28, 25, 26, 25, 29, 27, 28, 28, 29, 30, 27, 28, 28, 28, 27, 25, 24, 24, 28, 27, 28, 24, 27, 30, 29, 26, 28, 27, 27, 27, 25, 25, 30, 28, 29, 29, 26, 25, 28, 25, 24, 29, 28, 27, 24, 23, 25, 24, 23, 26, 28, 27, 30, 27, 23, 23, 22, 28, 28, 27, 26, 24, 21, 28, 26, 26, 29, 26, 25, 22, 29, 27, 26, 24, 22, 22, 28, 28, 25, 25, 23, 29, 28, 26]"},{"name":"probability","value":"0.0511727","array_data":"[0.0511727, 0.0402878, 0.0457038, 0.0416025, 0.0429752, 0.0396601, 0.0411585, 0.037037, 0.0498915, 0.0392707, 0.036855, 0.0379581, 0.0392157, 0.0388889, 0.0402985, 0.0376135, 0.0385144, 0.0433276, 0.0412044, 0.0430293, 0.037037, 0.0394737, 0.0380952, 0.0380435, 0.0368488, 0.0357995, 0.0391872, 0.0378378, 0.0378378, 0.0378378, 0.0391304, 0.0423729, 0.0444444, 0.0444444, 0.0377868, 0.0390738, 0.0376851, 0.0441989, 0.0388489, 0.035461, 0.0364322, 0.0401855, 0.0374332, 0.0386266, 0.0386266, 0.0386266, 0.0417362, 0.0417362, 0.0352941, 0.0372836, 0.0361596, 0.0361596, 0.0398773, 0.0415282, 0.0371846, 0.0413907, 0.0433213, 0.0360248, 0.0370861, 0.0382979, 0.0432432, 0.0455446, 0.0412541, 0.0431655, 0.0454545, 0.0395738, 0.0369393, 0.0381356, 0.0349243, 0.0380818, 0.0451866, 0.0451866, 0.0479303, 0.0368421, 0.0368421, 0.0380282, 0.0393939, 0.0428571, 0.0512195, 0.0367454, 0.0392157, 0.0392157, 0.0356265, 0.0391566, 0.0407166, 0.0474138, 0.0355828, 0.0377622, 0.0390977, 0.0424779, 0.0473118, 0.0473118, 0.0365535, 0.0365535, 0.0405844, 0.0405844, 0.0444874, 0.0354523, 0.0364583, 0.0389222]"},{"name":"joint_entropy","value":"9.050588975666813"},{"name":"pattern_team_auroc10","value":"0.7576530612244898"}]}}}