{"run":{"run_id":"658283","uploader":"1","uploader_name":"Jan van Rijn","task_id":"56603","task_type":"Subgroup Discovery","flow_id":"4221","flow_name":"SubgroupDiscovery(1)","setup_id":"7658","error":[],"setup_string":"{\"overall_ranking_loss\":\"0.0\",\"post_processing_count\":\"20\",\"search_depth\":\"1\",\"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\":\"2\",\"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":"4","component":"4221"},{"name":"numeric_operators","value":"≤, ≥<\/html>","component":"4221"},{"name":"numeric_strategy","value":"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":"2191070","name":"description","url":"https:\/\/www.openml.org\/data\/download\/2191070\/run7044105285616873923.xml"},{"did":"-1","file_id":"2191071","name":"subgroups","url":"https:\/\/www.openml.org\/data\/download\/2191071\/subgroups2592428644191153548.csv"}],"evaluation":[{"name":"cortana_quality","value":"0.4122449","array_data":"[0.4122449, 0.3727891, 0.3721088, 0.3578231, 0.3578231, 0.3564626, 0.3537415, 0.3360544, 0.3319728, 0.3163265, 0.3142857, 0.3136054, 0.3115646, 0.3061225, 0.3020408, 0.3013605, 0.3006803, 0.2965986, 0.2959184, 0.2931973, 0.292517, 0.2891156, 0.2877551, 0.2809524, 0.2802721, 0.2802721, 0.2795918, 0.2795918, 0.2768708, 0.2748299, 0.2748299, 0.2734694, 0.2734694, 0.2727891, 0.2721089, 0.2707483, 0.2693878, 0.2693878, 0.2693878, 0.2680272, 0.2666667, 0.2659864, 0.2653061, 0.2639456, 0.2632653, 0.262585, 0.2619048, 0.2619048, 0.2612245, 0.2605442, 0.2598639, 0.2544218, 0.2517007, 0.2496599, 0.2482993, 0.2482993, 0.247619, 0.247619, 0.247619, 0.247619, 0.2469388, 0.2469388, 0.2435374, 0.2428571, 0.2421769, 0.2387755, 0.2380952, 0.2380952, 0.2380952, 0.237415, 0.237415, 0.237415, 0.237415, 0.2367347, 0.2367347, 0.2360544, 0.2353742, 0.2340136, 0.2333333, 0.2326531, 0.2326531, 0.2319728, 0.2319728, 0.2312925, 0.2306122, 0.2306122, 0.2306122, 0.2306122, 0.229932, 0.2285714, 0.2285714, 0.2285714, 0.2278912, 0.2258503, 0.2258503, 0.2258503, 0.2251701, 0.2251701, 0.2244898, 0.2238095]"},{"name":"coverage","value":"794","array_data":"[794, 802, 903, 924, 924, 876, 780, 906, 812, 935, 938, 839, 942, 750, 956, 857, 808, 864, 965, 769, 970, 775, 777, 937, 988, 938, 939, 889, 793, 896, 846, 948, 848, 799, 1050, 1002, 954, 804, 804, 956, 808, 859, 760, 912, 1013, 764, 1015, 865, 866, 867, 768, 876, 830, 1133, 935, 835, 1036, 986, 886, 836, 1087, 787, 892, 893, 794, 799, 1000, 850, 800, 951, 851, 801, 751, 952, 902, 853, 804, 906, 957, 958, 908, 909, 759, 1060, 1161, 911, 761, 761, 862, 1064, 764, 764, 1065, 1068, 968, 818, 1119, 969, 970, 771]"},{"name":"positives","value":"28","array_data":"[28, 27, 29, 29, 29, 28, 26, 28, 26, 28, 28, 26, 28, 24, 28, 26, 25, 26, 28, 24, 28, 24, 24, 27, 28, 27, 27, 26, 24, 26, 25, 27, 25, 24, 29, 28, 27, 24, 24, 27, 24, 25, 23, 26, 28, 23, 28, 25, 25, 25, 23, 25, 24, 30, 26, 24, 28, 27, 25, 24, 29, 23, 25, 25, 23, 23, 27, 24, 23, 26, 24, 23, 22, 26, 25, 24, 23, 25, 26, 26, 25, 25, 22, 28, 30, 25, 22, 22, 24, 28, 22, 22, 28, 28, 26, 23, 29, 26, 26, 22]"},{"name":"probability","value":"0.0352645","array_data":"[0.0352645, 0.0336658, 0.0321152, 0.0313853, 0.0313853, 0.0319635, 0.0333333, 0.0309051, 0.0320197, 0.0299465, 0.0298507, 0.0309893, 0.029724, 0.032, 0.0292887, 0.0303384, 0.0309406, 0.0300926, 0.0290155, 0.0312094, 0.028866, 0.0309677, 0.030888, 0.0288154, 0.0283401, 0.0287846, 0.028754, 0.0292463, 0.0302648, 0.0290179, 0.0295508, 0.028481, 0.0294811, 0.0300375, 0.027619, 0.0279441, 0.0283019, 0.0298507, 0.0298507, 0.0282427, 0.029703, 0.0291036, 0.0302632, 0.0285088, 0.0276407, 0.0301047, 0.0275862, 0.0289017, 0.0288684, 0.0288351, 0.0299479, 0.0285388, 0.0289157, 0.0264784, 0.0278075, 0.0287425, 0.027027, 0.0273834, 0.0282167, 0.0287081, 0.0266789, 0.0292249, 0.0280269, 0.0279955, 0.0289673, 0.028786, 0.027, 0.0282353, 0.02875, 0.0273396, 0.0282021, 0.0287141, 0.0292943, 0.0273109, 0.0277162, 0.028136, 0.028607, 0.0275938, 0.0271682, 0.0271399, 0.027533, 0.0275028, 0.0289855, 0.0264151, 0.0258398, 0.0274424, 0.0289093, 0.0289093, 0.0278422, 0.0263158, 0.0287958, 0.0287958, 0.0262911, 0.0262172, 0.0268595, 0.0281174, 0.025916, 0.0268318, 0.0268041, 0.0285344]"},{"name":"joint_entropy","value":"9.306018850732418"},{"name":"pattern_team_auroc10","value":"0.7061224489795919"}]}}}