{"run":{"run_id":"1258151","uploader":"1","uploader_name":"Jan van Rijn","task_id":"56211","task_type":"Subgroup Discovery","flow_id":"4221","flow_name":"SubgroupDiscovery(1)","setup_id":"8318","error":[],"setup_string":"{\"overall_ranking_loss\":\"0.0\",\"post_processing_count\":\"20\",\"search_depth\":\"3\",\"maximum_time\":\"1.0\",\"search_strategy_width\":\"4\",\"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\":\"8\",\"maximum_subgroups\":\"100\"}","parameter_setting":[{"name":"search_depth","value":"3","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":"best-bins","component":"4221"},{"name":"nr_bins","value":"8","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":"3397023","name":"description","url":"https:\/\/www.openml.org\/data\/download\/3397023\/run4102214791601791633.xml"},{"did":"-1","file_id":"3397024","name":"subgroups","url":"https:\/\/www.openml.org\/data\/download\/3397024\/subgroups6693947499778716522.csv"}],"evaluation":[{"name":"cortana_quality","value":"0.5630596","array_data":"[0.5630596, 0.5630596, 0.5602506, 0.5602506, 0.5572326, 0.5557498, 0.5415481, 0.5345517, 0.5344995, 0.5303122, 0.5275353, 0.5246218, 0.5246218, 0.5233158, 0.5233158, 0.5217084, 0.5190762, 0.5188994, 0.5175933, 0.5175933, 0.5172799, 0.5172799, 0.5169665, 0.5169665, 0.5169142, 0.5169142, 0.516862, 0.516862, 0.5159015, 0.5159015, 0.5158493, 0.515797, 0.515797, 0.5157448, 0.5157247, 0.513406, 0.5128835, 0.5115575, 0.5115575, 0.5112962, 0.5112962, 0.5111917, 0.5111917, 0.5102112, 0.510179, 0.50995, 0.5088329, 0.5088329, 0.5087806, 0.5087485, 0.5087485, 0.5085194, 0.5085194, 0.508435, 0.5083305, 0.5083305, 0.507141, 0.507141, 0.5070888, 0.5070888, 0.5062007, 0.5048745, 0.5040708, 0.5040708, 0.5035283, 0.5030782, 0.5030059, 0.502817, 0.502817, 0.5027969, 0.5027648, 0.5027648, 0.5026925, 0.5026925, 0.5026081, 0.5026081, 0.5021178, 0.5018566, 0.5015753, 0.5015753, 0.5012297, 0.5012297, 0.5011774, 0.5008962, 0.5001447, 0.5001447, 0.4999879, 0.4999879, 0.4997468, 0.4997468, 0.4996946, 0.4989954, 0.4983684, 0.4983684, 0.4978782, 0.4977215, 0.4977215, 0.4972834, 0.4972834, 0.4969178]"},{"name":"coverage","value":"371","array_data":"[371, 371, 370, 370, 381, 385, 389, 385, 388, 385, 301, 306, 306, 381, 381, 311, 381, 310, 385, 385, 403, 403, 421, 421, 424, 424, 427, 427, 401, 401, 404, 407, 407, 410, 330, 382, 412, 407, 407, 422, 422, 428, 428, 322, 405, 337, 320, 320, 323, 406, 406, 338, 338, 424, 430, 430, 336, 336, 339, 339, 390, 385, 350, 350, 300, 407, 330, 422, 422, 342, 425, 425, 348, 348, 434, 434, 381, 396, 331, 331, 432, 432, 435, 370, 332, 332, 341, 341, 436, 436, 439, 398, 434, 434, 381, 390, 390, 334, 334, 355]"},{"name":"positives","value":"258","array_data":"[258, 258, 257, 257, 260, 261, 259, 256, 257, 255, 226, 227, 227, 252, 252, 228, 251, 227, 252, 252, 258, 258, 264, 264, 265, 265, 266, 266, 257, 257, 258, 259, 259, 260, 233, 250, 260, 258, 258, 263, 263, 265, 265, 229, 257, 234, 228, 228, 229, 257, 257, 234, 234, 263, 265, 265, 233, 233, 234, 234, 251, 249, 237, 237, 220, 256, 230, 261, 261, 234, 262, 262, 236, 236, 265, 265, 247, 252, 230, 230, 264, 264, 265, 243, 230, 230, 233, 233, 265, 265, 266, 252, 264, 264, 246, 249, 249, 230, 230, 237]"},{"name":"probability","value":"0.6954178","array_data":"[0.6954178, 0.6954178, 0.6945946, 0.6945946, 0.6824147, 0.6779221, 0.6658098, 0.6649351, 0.6623711, 0.6623377, 0.7508306, 0.7418301, 0.7418301, 0.6614173, 0.6614173, 0.733119, 0.6587927, 0.7322581, 0.6545455, 0.6545455, 0.6401985, 0.6401985, 0.6270784, 0.6270784, 0.625, 0.625, 0.6229508, 0.6229508, 0.6408978, 0.6408978, 0.6386139, 0.6363636, 0.6363636, 0.6341463, 0.7060606, 0.6544503, 0.631068, 0.6339066, 0.6339066, 0.6232227, 0.6232227, 0.6191589, 0.6191589, 0.7111801, 0.6345679, 0.694362, 0.7125, 0.7125, 0.7089783, 0.6330049, 0.6330049, 0.6923077, 0.6923077, 0.620283, 0.6162791, 0.6162791, 0.6934524, 0.6934524, 0.6902655, 0.6902655, 0.6435897, 0.6467532, 0.6771429, 0.6771429, 0.7333333, 0.6289926, 0.6969697, 0.6184834, 0.6184834, 0.6842105, 0.6164706, 0.6164706, 0.6781609, 0.6781609, 0.6105991, 0.6105991, 0.648294, 0.6363636, 0.694864, 0.694864, 0.6111111, 0.6111111, 0.6091954, 0.6567568, 0.6927711, 0.6927711, 0.6832845, 0.6832845, 0.6077982, 0.6077982, 0.6059226, 0.6331658, 0.6082949, 0.6082949, 0.6456693, 0.6384615, 0.6384615, 0.6886228, 0.6886228, 0.6676056]"},{"name":"joint_entropy","value":"3.4152715401873097"},{"name":"pattern_team_auroc10","value":"0.7816804905884813"}]}}}