{"run":{"run_id":"761062","uploader":"1","uploader_name":"Jan van Rijn","task_id":"54579","task_type":"Subgroup Discovery","flow_id":"4221","flow_name":"SubgroupDiscovery(1)","setup_id":"7772","error":[],"setup_string":"{\"overall_ranking_loss\":\"0.0\",\"post_processing_count\":\"20\",\"search_depth\":\"1\",\"maximum_time\":\"1.0\",\"search_strategy_width\":\"64\",\"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":"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":"64","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":"1053","name":"jm1","url":"https:\/\/www.openml.org\/data\/download\/53936\/jm1.arff"}},"output_data":{"file":[{"did":"-1","file_id":"2396636","name":"description","url":"https:\/\/www.openml.org\/data\/download\/2396636\/run1850380972430780951.xml"},{"did":"-1","file_id":"2396637","name":"subgroups","url":"https:\/\/www.openml.org\/data\/download\/2396637\/subgroups6024071507606501195.csv"}],"evaluation":[{"name":"cortana_quality","value":"0.3263829","array_data":"[0.3263829, 0.3263777, 0.3237898, 0.3211543, 0.3211151, 0.3210853, 0.3209945, 0.3208629, 0.3194483, 0.3182446, 0.3166465, 0.3165928, 0.3156693, 0.3146994, 0.3146494, 0.30984, 0.3095777, 0.3088198, 0.305427, 0.3044672, 0.3025193, 0.3017063, 0.2947143, 0.2944839, 0.2933556, 0.2915184, 0.2839243, 0.2835563, 0.2807426, 0.2785212, 0.2765604, 0.2736128, 0.2717095, 0.2710861, 0.2701122, 0.267811, 0.2651323, 0.2641799, 0.2566354, 0.2556674, 0.2541114, 0.2528913, 0.2509261, 0.2504098, 0.2491913, 0.248231, 0.2479868, 0.2478021, 0.2467808, 0.2467338, 0.2465953, 0.24643, 0.2456736, 0.2455291, 0.2447494, 0.2445475, 0.2438444, 0.2428145, 0.2418944, 0.2409331, 0.240521, 0.2398308, 0.2397224, 0.2395057, 0.2394074, 0.2392398, 0.2388915, 0.2386292, 0.2383054, 0.2382403, 0.2380651, 0.2377862, 0.2377294, 0.2376938, 0.2376232, 0.2374276, 0.2373176, 0.2373033, 0.2370612, 0.2370293, 0.2369567, 0.2369079, 0.2368762, 0.2367989, 0.2367289, 0.2365534, 0.2364665, 0.2364476, 0.2363181, 0.2363124, 0.2361718, 0.2359878, 0.2358212, 0.2358189, 0.2357063, 0.2356142, 0.235527, 0.2352912, 0.2352397, 0.2347644]"},{"name":"coverage","value":"6995","array_data":"[6995, 7119, 7241, 7590, 6711, 7424, 7325, 6838, 7513, 6324, 7752, 7674, 6596, 6174, 6463, 7930, 7845, 5988, 5829, 5619, 5421, 8055, 8128, 8188, 5201, 8255, 5020, 8366, 4806, 8420, 8532, 8625, 8722, 4561, 8770, 8848, 4333, 8935, 4062, 9036, 6283, 9115, 7971, 6695, 6767, 7477, 6958, 7742, 7640, 9216, 7535, 7854, 7775, 7598, 8077, 7455, 3836, 7569, 7318, 7599, 7461, 8070, 7485, 8124, 7751, 7672, 7824, 7739, 7762, 7503, 7150, 9277, 7912, 7400, 7725, 7408, 7314, 7655, 7994, 7849, 7316, 7574, 6969, 7909, 7314, 7421, 7229, 6774, 7145, 8189, 7919, 7323, 7673, 7275, 7243, 7175, 7443, 5818, 8407, 7059]"},{"name":"positives","value":"6196","array_data":"[6196, 6296, 6390, 6667, 5958, 6533, 6453, 6060, 6602, 5641, 6790, 6727, 5856, 5514, 5747, 6922, 6853, 5354, 5220, 5049, 4886, 7009, 7056, 7104, 4693, 7153, 4531, 7229, 4353, 7264, 7351, 7421, 7496, 4139, 7532, 7591, 3945, 7655, 3712, 7722, 5499, 7781, 6855, 5825, 5881, 6452, 6033, 6665, 6581, 7852, 6496, 6753, 6688, 6545, 6930, 6428, 3508, 6517, 6313, 6538, 6426, 6916, 6444, 6959, 6658, 6594, 6716, 6647, 6665, 6456, 6171, 7886, 6785, 6372, 6634, 6378, 6302, 6577, 6850, 6733, 6303, 6511, 6023, 6781, 6301, 6387, 6232, 5865, 6164, 7006, 6788, 6307, 6589, 6268, 6242, 6187, 6403, 5092, 7180, 6092]"},{"name":"probability","value":"0.8857756","array_data":"[0.8857756, 0.8843939, 0.8824748, 0.8783926, 0.8877962, 0.8799838, 0.8809556, 0.886224, 0.8787435, 0.8919987, 0.875903, 0.8765963, 0.8878108, 0.8931001, 0.8892155, 0.8728878, 0.87355, 0.8941216, 0.8955224, 0.8985585, 0.9013097, 0.8701428, 0.8681102, 0.8676111, 0.9023265, 0.8665051, 0.9025896, 0.8640928, 0.9057428, 0.8627078, 0.8615799, 0.8604058, 0.8594359, 0.9074764, 0.8588369, 0.857934, 0.9104547, 0.8567431, 0.9138355, 0.8545817, 0.8752188, 0.8536478, 0.8599925, 0.8700523, 0.8690705, 0.8629129, 0.8670595, 0.8608887, 0.8613874, 0.8519965, 0.8621102, 0.8598167, 0.8601929, 0.8614109, 0.8579918, 0.8622401, 0.9144943, 0.861012, 0.8626674, 0.8603764, 0.8612786, 0.8570012, 0.8609218, 0.8565977, 0.8589859, 0.8594891, 0.8583845, 0.8588965, 0.8586704, 0.8604558, 0.8630769, 0.8500593, 0.8575581, 0.8610811, 0.8587702, 0.8609611, 0.8616352, 0.859177, 0.8568927, 0.8578163, 0.8615364, 0.8596514, 0.864256, 0.8573777, 0.8614985, 0.8606657, 0.8620833, 0.8658105, 0.8627012, 0.8555379, 0.8571789, 0.861259, 0.8587254, 0.8615808, 0.8617976, 0.8622997, 0.8602714, 0.8752149, 0.8540502, 0.8630118]"},{"name":"joint_entropy","value":"4.939178461170008"},{"name":"pattern_team_auroc10","value":"0.6948389854187782"}]}}}