{"run":{"run_id":"660279","uploader":"1","uploader_name":"Jan van Rijn","task_id":"53407","task_type":"Subgroup Discovery","flow_id":"4221","flow_name":"SubgroupDiscovery(1)","setup_id":"7661","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\":\"16\",\"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":"16","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":"28","name":"optdigits","url":"https:\/\/www.openml.org\/data\/download\/28\/dataset_28_optdigits.arff"}},"output_data":{"file":[{"did":"-1","file_id":"2195062","name":"description","url":"https:\/\/www.openml.org\/data\/download\/2195062\/run1048533297883153098.xml"},{"did":"-1","file_id":"2195063","name":"subgroups","url":"https:\/\/www.openml.org\/data\/download\/2195063\/subgroups1749002956670400657.csv"}],"evaluation":[{"name":"cortana_quality","value":"0.7991897","array_data":"[0.7991897, 0.7433254, 0.6776247, 0.6682669, 0.6670993, 0.6509561, 0.6399903, 0.6367445, 0.6353354, 0.6236616, 0.6215869, 0.6187965, 0.6185019, 0.6151938, 0.6138145, 0.6117285, 0.6112591, 0.6086385, 0.5997452, 0.5972351, 0.5864803, 0.5863359, 0.572273, 0.5675976, 0.5647817, 0.5625364, 0.560146, 0.5589089, 0.555717, 0.5482858, 0.5475601, 0.5455626, 0.5453049, 0.5441139, 0.5404242, 0.5403371, 0.537291, 0.5371479, 0.5345218, 0.5342166, 0.5322552, 0.5288423, 0.5267769, 0.5264066, 0.5263726, 0.5242562, 0.5227183, 0.5175607, 0.5132068, 0.5129867, 0.5080847, 0.5071097, 0.4995886, 0.4988905, 0.4984791, 0.4900793, 0.4832422, 0.4780705, 0.467812, 0.4673617, 0.4630567, 0.4594314, 0.4581193, 0.4575543, 0.4455398, 0.4454761, 0.4446894, 0.4427408, 0.4410889, 0.440024, 0.439687, 0.4374983, 0.4372767, 0.4365339, 0.4339757, 0.4290476, 0.428428, 0.4241534, 0.4187593, 0.4176427, 0.4148402, 0.4122876, 0.4112716, 0.4079741, 0.4075323, 0.4051213, 0.4010103, 0.3993024, 0.3951404, 0.393468, 0.3929404, 0.3922926, 0.3922628, 0.3920207, 0.390817, 0.3900445, 0.3898073, 0.3878509, 0.3874367, 0.3847998]"},{"name":"coverage","value":"1504","array_data":"[1504, 1817, 1928, 1502, 2223, 2204, 1907, 1863, 2273, 1476, 1416, 2115, 2469, 1257, 1969, 2463, 1710, 2529, 1869, 2204, 1775, 1111, 2280, 1367, 2610, 2289, 1163, 2116, 1548, 2623, 1408, 2667, 1923, 801, 2270, 1787, 2165, 1783, 1474, 2523, 2543, 2943, 1906, 1223, 2885, 2936, 2974, 1580, 2861, 1160, 2897, 2630, 2658, 1322, 891, 2968, 1512, 2918, 2980, 3224, 2994, 3244, 3301, 3183, 2005, 3365, 1264, 1012, 829, 2325, 2649, 2368, 3195, 1406, 3393, 2723, 2988, 3201, 2483, 2116, 3228, 3533, 3518, 1611, 3547, 1142, 3016, 2934, 3086, 1624, 3359, 3604, 3302, 2850, 2000, 2719, 3254, 1451, 3266, 3652]"},{"name":"positives","value":"551","array_data":"[551, 554, 532, 485, 556, 546, 511, 505, 545, 460, 453, 521, 556, 434, 504, 552, 477, 557, 487, 519, 471, 405, 514, 421, 543, 510, 397, 491, 433, 536, 415, 539, 465, 353, 497, 449, 485, 447, 415, 519, 520, 558, 454, 386, 551, 555, 558, 417, 542, 373, 543, 516, 515, 382, 339, 541, 393, 530, 531, 555, 530, 553, 558, 546, 423, 558, 349, 323, 304, 452, 484, 455, 537, 359, 555, 486, 512, 531, 457, 420, 529, 558, 556, 365, 557, 317, 501, 492, 505, 359, 531, 555, 525, 480, 395, 466, 519, 339, 519, 556]"},{"name":"probability","value":"0.3663564","array_data":"[0.3663564, 0.3048982, 0.2759336, 0.3229028, 0.2501125, 0.2477314, 0.2679601, 0.2710682, 0.2397712, 0.3116531, 0.3199153, 0.2463357, 0.2251924, 0.3452665, 0.2559675, 0.2241169, 0.2789474, 0.2202452, 0.2605671, 0.2354809, 0.2653521, 0.3645365, 0.2254386, 0.3079737, 0.208046, 0.2228047, 0.3413586, 0.2320416, 0.2797158, 0.2043462, 0.2947443, 0.2020997, 0.2418097, 0.4406991, 0.2189427, 0.2512591, 0.2240185, 0.2507011, 0.2815468, 0.2057075, 0.2044829, 0.1896024, 0.2381952, 0.3156173, 0.1909879, 0.1890327, 0.1876261, 0.2639241, 0.1894443, 0.3215517, 0.1874353, 0.1961977, 0.1937547, 0.2889561, 0.3804714, 0.1822776, 0.2599206, 0.1816313, 0.1781879, 0.1721464, 0.1770207, 0.1704686, 0.1690397, 0.1715363, 0.2109726, 0.1658247, 0.2761076, 0.31917, 0.3667069, 0.1944086, 0.1827105, 0.1921453, 0.1680751, 0.2553343, 0.1635721, 0.1784796, 0.1713521, 0.1658857, 0.1840516, 0.1984877, 0.1638786, 0.1579394, 0.1580443, 0.2265673, 0.1570341, 0.2775832, 0.1661141, 0.1676892, 0.1636423, 0.2210591, 0.1580828, 0.1539956, 0.1589945, 0.1684211, 0.1975, 0.1713865, 0.159496, 0.233632, 0.15891, 0.1522453]"},{"name":"joint_entropy","value":"8.540882426580447"},{"name":"pattern_team_auroc10","value":"0.7977036362014249"}]}}}