{"run":{"run_id":"722035","uploader":"1","uploader_name":"Jan van Rijn","task_id":"53887","task_type":"Subgroup Discovery","flow_id":"4221","flow_name":"SubgroupDiscovery(1)","setup_id":"7729","error":[],"setup_string":"{\"overall_ranking_loss\":\"0.0\",\"post_processing_count\":\"20\",\"search_depth\":\"1\",\"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\":\"256\",\"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":"16","component":"4221"},{"name":"numeric_operators","value":"≤, ≥, =<\/html>","component":"4221"},{"name":"numeric_strategy","value":"best-bins","component":"4221"},{"name":"nr_bins","value":"256","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":"300","name":"isolet","url":"https:\/\/www.openml.org\/data\/download\/52405\/phpB0xrNj"}},"output_data":{"file":[{"did":"-1","file_id":"2318581","name":"description","url":"https:\/\/www.openml.org\/data\/download\/2318581\/run197363846518564090.xml"},{"did":"-1","file_id":"2318582","name":"subgroups","url":"https:\/\/www.openml.org\/data\/download\/2318582\/subgroups1634758537904779810.csv"}],"evaluation":[{"name":"cortana_quality","value":"0.911702","array_data":"[0.911702, 0.8862225, 0.8763572, 0.8738269, 0.8330199, 0.8294184, 0.8271455, 0.8200694, 0.8130119, 0.8055435, 0.8039389, 0.7999467, 0.7817834, 0.7656623, 0.7632467, 0.7621862, 0.7428384, 0.7071015, 0.7064332, 0.7061812, 0.6981539, 0.6941617, 0.693244, 0.6929585, 0.6924236, 0.6899026, 0.6401374, 0.6390769, 0.6333653, 0.6261825, 0.6209684, 0.6121542, 0.6113432, 0.6103014, 0.6048459, 0.601842, 0.600943, 0.5994905, 0.5979925, 0.5946872, 0.5894918, 0.5894825, 0.5753488, 0.5753301, 0.5671749, 0.566668, 0.5590476, 0.5515793, 0.5498413, 0.5453235, 0.5450287, 0.5354488, 0.5342737, 0.5331492, 0.5310831, 0.5072775, 0.5017447, 0.4955769, 0.49507, 0.4927971, 0.4890356, 0.4874777, 0.4845085, 0.4838856, 0.4818261, 0.4815499, 0.4765239, 0.4756196, 0.4744911, 0.4670321, 0.4642337, 0.4619701, 0.4564893, 0.4490756, 0.4467574, 0.4431573, 0.4408844, 0.4397359, 0.4350207, 0.4332733, 0.4292717, 0.4271602, 0.425042, 0.4235334, 0.4232653, 0.4224997, 0.4165199, 0.4159397, 0.4121969, 0.4114779, 0.4110298, 0.4086421, 0.3991317, 0.39678, 0.3931439, 0.3871188, 0.3869054, 0.3851767, 0.3806229, 0.3799813]"},{"name":"coverage","value":"884","array_data":"[884, 1127, 1097, 1038, 1162, 1189, 1310, 1493, 1312, 1342, 1432, 1280, 1858, 1615, 1919, 1797, 2072, 2132, 2163, 1879, 2407, 2255, 1950, 2316, 2346, 2105, 2712, 2590, 2165, 1829, 2102, 2376, 2590, 2104, 1885, 3259, 2590, 2315, 2924, 2377, 2286, 2468, 2470, 2834, 3259, 2743, 3138, 3168, 3259, 2955, 3503, 3107, 2622, 3748, 2438, 3838, 2528, 3198, 2682, 2803, 3351, 2531, 3229, 2376, 3535, 3719, 2925, 2360, 3564, 3412, 3381, 3320, 3595, 2559, 3564, 3565, 3686, 2681, 3626, 3899, 3929, 3503, 3207, 4024, 4052, 3382, 2985, 3899, 4083, 2503, 3442, 3200, 4051, 3107, 3810, 4297, 3259, 3168, 3566, 3077]"},{"name":"positives","value":"297","array_data":"[297, 299, 295, 292, 285, 285, 289, 294, 285, 284, 287, 280, 297, 283, 294, 289, 294, 286, 287, 276, 294, 287, 275, 289, 290, 280, 289, 284, 266, 251, 260, 268, 276, 257, 247, 299, 273, 262, 285, 263, 258, 265, 261, 275, 289, 269, 282, 281, 284, 271, 292, 274, 255, 298, 247, 294, 242, 266, 246, 250, 270, 238, 264, 231, 275, 282, 250, 228, 274, 266, 264, 261, 270, 228, 266, 265, 269, 230, 265, 275, 275, 258, 246, 277, 278, 252, 235, 270, 276, 215, 251, 241, 271, 234, 260, 277, 237, 233, 247, 228]"},{"name":"probability","value":"0.3359729","array_data":"[0.3359729, 0.2653061, 0.2689152, 0.2813102, 0.2452668, 0.2396972, 0.2206107, 0.196919, 0.2172256, 0.2116244, 0.200419, 0.21875, 0.1598493, 0.1752322, 0.1532048, 0.1608236, 0.1418919, 0.1341463, 0.1326861, 0.1468866, 0.1221437, 0.1272727, 0.1410256, 0.1247841, 0.1236147, 0.1330166, 0.1065634, 0.1096525, 0.1228637, 0.1372335, 0.1236917, 0.1127946, 0.1065637, 0.1221483, 0.1310345, 0.0917459, 0.1054054, 0.1131749, 0.0974692, 0.1106437, 0.1128609, 0.1073744, 0.105668, 0.097036, 0.0886775, 0.0980678, 0.0898662, 0.0886995, 0.0871433, 0.091709, 0.0833571, 0.088188, 0.097254, 0.0795091, 0.1013126, 0.0766024, 0.0957278, 0.083177, 0.0917226, 0.0891902, 0.080573, 0.094034, 0.0817591, 0.0972222, 0.0777935, 0.0758268, 0.0854701, 0.0966102, 0.0768799, 0.0779601, 0.0780834, 0.0786145, 0.0751043, 0.0890973, 0.0746352, 0.0743338, 0.0729788, 0.0857889, 0.0730833, 0.0705309, 0.0699924, 0.0736512, 0.0767072, 0.068837, 0.0686081, 0.0745121, 0.078727, 0.0692485, 0.0675974, 0.0858969, 0.0729227, 0.0753125, 0.0668971, 0.0753138, 0.0682415, 0.0644636, 0.0727217, 0.073548, 0.0692653, 0.0740981]"},{"name":"joint_entropy","value":"8.829566411351674"},{"name":"pattern_team_auroc10","value":"0.7349962207105064"}]}}}