{"run":{"run_id":"609787","uploader":"1","uploader_name":"Jan van Rijn","task_id":"55131","task_type":"Subgroup Discovery","flow_id":"4221","flow_name":"SubgroupDiscovery(1)","setup_id":"7605","error":[],"setup_string":"{\"overall_ranking_loss\":\"0.0\",\"post_processing_count\":\"20\",\"search_depth\":\"1\",\"maximum_time\":\"1.0\",\"search_strategy_width\":\"1\",\"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\":\"4\",\"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":"1","component":"4221"},{"name":"numeric_operators","value":"≤, ≥<\/html>","component":"4221"},{"name":"numeric_strategy","value":"bins","component":"4221"},{"name":"nr_bins","value":"4","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":"1491","name":"one-hundred-plants-margin","url":"https:\/\/www.openml.org\/data\/download\/1592283\/phpCsX3fx"}},"output_data":{"file":[{"did":"-1","file_id":"2094069","name":"description","url":"https:\/\/www.openml.org\/data\/download\/2094069\/run7501904096666523719.xml"},{"did":"-1","file_id":"2094070","name":"subgroups","url":"https:\/\/www.openml.org\/data\/download\/2094070\/subgroups2064428224847091677.csv"}],"evaluation":[{"name":"cortana_quality","value":"0.7537879","array_data":"[0.7537879, 0.7436869, 0.7411616, 0.7373737, 0.7329546, 0.7323232, 0.7190657, 0.7159091, 0.7121212, 0.7089646, 0.6856061, 0.6799242, 0.6761364, 0.6426768, 0.6066919, 0.6035354, 0.6016414, 0.572601, 0.5145202, 0.5044192, 0.5025253, 0.5006313, 0.4993687, 0.4974748, 0.4968434, 0.4962121, 0.4943182, 0.4930556, 0.4911616, 0.4848485, 0.4842172, 0.4810606, 0.479798, 0.4785354, 0.4779041, 0.4766414, 0.4734848, 0.4728535, 0.4728535, 0.4722222, 0.469697, 0.4690657, 0.4684343, 0.4539141, 0.4520202, 0.4450758, 0.4400252, 0.4362374, 0.4349748, 0.4343434, 0.4280303, 0.427399, 0.4242424, 0.4210859, 0.4179293, 0.4034091, 0.386995, 0.3857323, 0.3787879, 0.3724748, 0.3667929, 0.3592172, 0.3566919, 0.3459596, 0.3383838, 0.3156566, 0.3143939, 0.3017677, 0.2935606, 0.2847222, 0.2809343, 0.2790404, 0.2777778, 0.2758838, 0.2676768, 0.2645202, 0.2518939, 0.2506313, 0.2468434, 0.2449495, 0.2449495, 0.2449495, 0.2449495, 0.2443182, 0.2443182, 0.2436869, 0.2430556, 0.2424242, 0.2411616, 0.2411616, 0.239899, 0.239899, 0.2367424, 0.2361111, 0.2354798, 0.2348485, 0.2342172, 0.2335859, 0.2316919, 0.2310606]"},{"name":"coverage","value":"406","array_data":"[406, 422, 426, 432, 439, 440, 461, 466, 472, 477, 414, 423, 529, 482, 439, 444, 447, 493, 485, 801, 804, 807, 809, 812, 813, 814, 817, 819, 822, 832, 833, 838, 840, 842, 843, 445, 850, 851, 851, 852, 856, 457, 858, 881, 884, 495, 803, 909, 911, 812, 922, 823, 828, 433, 938, 461, 487, 889, 800, 410, 919, 831, 935, 452, 664, 1100, 402, 822, 435, 849, 855, 858, 460, 863, 876, 581, 1201, 1203, 1209, 1212, 1212, 1212, 1212, 1213, 1213, 1214, 1215, 1216, 1218, 1218, 1220, 1220, 1225, 1226, 1227, 1228, 1229, 1230, 1233, 1234]"},{"name":"positives","value":"16","array_data":"[16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 15, 15, 16, 15, 14, 14, 14, 14, 13, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 12, 16, 16, 16, 16, 16, 12, 16, 16, 16, 12, 15, 16, 16, 15, 16, 15, 15, 11, 16, 11, 11, 15, 14, 10, 15, 14, 15, 10, 12, 16, 9, 13, 9, 13, 13, 13, 9, 13, 13, 10, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16]"},{"name":"probability","value":"0.0394089","array_data":"[0.0394089, 0.0379147, 0.0375587, 0.037037, 0.0364465, 0.0363636, 0.0347072, 0.0343348, 0.0338983, 0.033543, 0.0362319, 0.035461, 0.0302457, 0.0311203, 0.0318907, 0.0315315, 0.0313199, 0.0283976, 0.0268041, 0.019975, 0.0199005, 0.0198265, 0.0197775, 0.0197044, 0.0196802, 0.019656, 0.0195838, 0.019536, 0.0194647, 0.0192308, 0.0192077, 0.0190931, 0.0190476, 0.0190024, 0.0189798, 0.0269663, 0.0188235, 0.0188014, 0.0188014, 0.0187793, 0.0186916, 0.0262582, 0.018648, 0.0181612, 0.0180995, 0.0242424, 0.01868, 0.0176018, 0.0175631, 0.0184729, 0.0173536, 0.018226, 0.0181159, 0.0254042, 0.0170576, 0.0238612, 0.0225873, 0.0168729, 0.0175, 0.0243902, 0.0163221, 0.0168472, 0.0160428, 0.0221239, 0.0180723, 0.0145455, 0.0223881, 0.0158151, 0.0206897, 0.0153121, 0.0152047, 0.0151515, 0.0195652, 0.0150637, 0.0148402, 0.0172117, 0.0133222, 0.0133001, 0.0132341, 0.0132013, 0.0132013, 0.0132013, 0.0132013, 0.0131904, 0.0131904, 0.0131796, 0.0131687, 0.0131579, 0.0131363, 0.0131363, 0.0131148, 0.0131148, 0.0130612, 0.0130506, 0.0130399, 0.0130293, 0.0130187, 0.0130081, 0.0129765, 0.012966]"},{"name":"joint_entropy","value":"8.555605571760731"},{"name":"pattern_team_auroc10","value":"0.7503156565656566"}]}}}