{"run":{"run_id":"957836","uploader":"1","uploader_name":"Jan van Rijn","task_id":"56211","task_type":"Subgroup Discovery","flow_id":"4221","flow_name":"SubgroupDiscovery(1)","setup_id":"7989","error":[],"setup_string":"{\"overall_ranking_loss\":\"0.0\",\"post_processing_count\":\"20\",\"search_depth\":\"2\",\"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\":\"256\",\"maximum_subgroups\":\"100\"}","parameter_setting":[{"name":"search_depth","value":"2","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":"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":"1494","name":"qsar-biodeg","url":"https:\/\/www.openml.org\/data\/download\/1592286\/phpGUrE90"}},"output_data":{"file":[{"did":"-1","file_id":"2790189","name":"description","url":"https:\/\/www.openml.org\/data\/download\/2790189\/run5410354585229003493.xml"},{"did":"-1","file_id":"2790190","name":"subgroups","url":"https:\/\/www.openml.org\/data\/download\/2790190\/subgroups7256474728565131164.csv"}],"evaluation":[{"name":"cortana_quality","value":"0.5470093","array_data":"[0.5470093, 0.5456833, 0.545631, 0.5443571, 0.5397518, 0.5384779, 0.5384257, 0.5383734, 0.538269, 0.5371518, 0.5370995, 0.5369951, 0.5356689, 0.5355644, 0.535251, 0.5351987, 0.5351465, 0.5342906, 0.5341861, 0.5341861, 0.5341339, 0.5339249, 0.5329644, 0.5329122, 0.5328599, 0.5328599, 0.5328599, 0.5328077, 0.5328077, 0.5327554, 0.5327032, 0.532651, 0.5324942, 0.532442, 0.5323898, 0.5315338, 0.5314816, 0.5313771, 0.5313249, 0.5311159, 0.5310636, 0.5309069, 0.5299987, 0.5299464, 0.529842, 0.529842, 0.5297897, 0.529633, 0.5295808, 0.5295808, 0.5295286, 0.5285159, 0.5283591, 0.5283069, 0.5282546, 0.5282024, 0.5280457, 0.5270852, 0.527033, 0.527033, 0.5269808, 0.5269285, 0.5267718, 0.5267196, 0.5257069, 0.5256546, 0.5256024, 0.5255501, 0.5255501, 0.5254979, 0.5253412, 0.5252889, 0.5252889, 0.5252367, 0.5249032, 0.5246942, 0.5243807, 0.524224, 0.5241718, 0.5241196, 0.5240673, 0.5240151, 0.5239106, 0.5239106, 0.5238583, 0.5238583, 0.5238061, 0.5237538, 0.523577, 0.5235248, 0.5235248, 0.5235248, 0.5234725, 0.5233158, 0.5233158, 0.5231069, 0.5230546, 0.5230024, 0.5230024, 0.5227411]"},{"name":"coverage","value":"400","array_data":"[400, 395, 398, 390, 411, 403, 406, 409, 415, 398, 401, 407, 402, 408, 426, 429, 432, 400, 406, 406, 409, 421, 395, 398, 401, 401, 401, 404, 404, 407, 410, 413, 422, 425, 428, 396, 399, 405, 408, 420, 423, 432, 403, 406, 412, 412, 415, 424, 427, 427, 430, 407, 416, 419, 422, 425, 434, 408, 411, 411, 414, 417, 426, 429, 406, 409, 412, 415, 415, 418, 427, 430, 430, 433, 371, 383, 401, 410, 413, 416, 419, 422, 428, 428, 431, 431, 434, 437, 366, 369, 369, 369, 372, 381, 381, 393, 396, 399, 399, 414]"},{"name":"positives","value":"264","array_data":"[264, 262, 263, 260, 266, 263, 264, 265, 267, 261, 262, 264, 262, 264, 270, 271, 272, 261, 263, 263, 264, 268, 259, 260, 261, 261, 261, 262, 262, 263, 264, 265, 268, 269, 270, 259, 260, 262, 263, 267, 268, 271, 261, 262, 264, 264, 265, 268, 269, 269, 270, 262, 265, 266, 267, 268, 271, 262, 263, 263, 264, 265, 268, 269, 261, 262, 263, 264, 264, 265, 268, 269, 269, 270, 249, 253, 259, 262, 263, 264, 265, 266, 268, 268, 269, 269, 270, 271, 247, 248, 248, 248, 249, 252, 252, 256, 257, 258, 258, 263]"},{"name":"probability","value":"0.66","array_data":"[0.66, 0.6632911, 0.660804, 0.6666667, 0.6472019, 0.6526055, 0.6502463, 0.6479218, 0.6433735, 0.6557789, 0.6533666, 0.6486486, 0.6517413, 0.6470588, 0.6338028, 0.6317016, 0.6296296, 0.6525, 0.6477833, 0.6477833, 0.6454768, 0.6365796, 0.6556962, 0.6532663, 0.6508728, 0.6508728, 0.6508728, 0.6485149, 0.6485149, 0.6461916, 0.6439024, 0.6416465, 0.6350711, 0.6329412, 0.6308411, 0.6540404, 0.6516291, 0.6469136, 0.6446078, 0.6357143, 0.6335697, 0.6273148, 0.6476427, 0.6453202, 0.6407767, 0.6407767, 0.6385542, 0.6320755, 0.6299766, 0.6299766, 0.627907, 0.6437346, 0.6370192, 0.6348449, 0.6327014, 0.6305882, 0.624424, 0.6421569, 0.6399027, 0.6399027, 0.6376812, 0.6354916, 0.629108, 0.6270396, 0.6428571, 0.6405868, 0.6383495, 0.6361446, 0.6361446, 0.6339713, 0.6276347, 0.6255814, 0.6255814, 0.6235566, 0.671159, 0.6605744, 0.6458853, 0.6390244, 0.6368039, 0.6346154, 0.6324582, 0.6303318, 0.6261682, 0.6261682, 0.6241299, 0.6241299, 0.6221198, 0.6201373, 0.6748634, 0.6720867, 0.6720867, 0.6720867, 0.6693548, 0.6614173, 0.6614173, 0.6513995, 0.6489899, 0.6466165, 0.6466165, 0.6352657]"},{"name":"joint_entropy","value":"2.2983282554066733"},{"name":"pattern_team_auroc10","value":"0.7824761698091978"}]}}}