{"run":{"run_id":"1243720","uploader":"1","uploader_name":"Jan van Rijn","task_id":"56211","task_type":"Subgroup Discovery","flow_id":"4221","flow_name":"SubgroupDiscovery(1)","setup_id":"8302","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\":\"32\",\"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":"32","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":"3367179","name":"description","url":"https:\/\/www.openml.org\/data\/download\/3367179\/run4090794611766288728.xml"},{"did":"-1","file_id":"3367180","name":"subgroups","url":"https:\/\/www.openml.org\/data\/download\/3367180\/subgroups6696117498409382942.csv"}],"evaluation":[{"name":"cortana_quality","value":"0.5775747","array_data":"[0.5775747, 0.5761441, 0.5746613, 0.5688865, 0.5661298, 0.565973, 0.5658163, 0.5646992, 0.5606163, 0.5601984, 0.5599894, 0.558611, 0.5573894, 0.5560632, 0.5556453, 0.5543191, 0.5543191, 0.5542147, 0.5530453, 0.5530453, 0.5529408, 0.5528363, 0.5528363, 0.5527841, 0.5518236, 0.5515624, 0.5502886, 0.5500796, 0.5499228, 0.548649, 0.5485445, 0.5484923, 0.5483355, 0.5483355, 0.5479497, 0.5474273, 0.5470616, 0.5470616, 0.5469571, 0.5469049, 0.54584, 0.5457355, 0.545631, 0.5455788, 0.5444093, 0.5442526, 0.5441481, 0.5434489, 0.5429787, 0.5429787, 0.5429787, 0.542822, 0.5427698, 0.5427698, 0.5427175, 0.5415481, 0.5415481, 0.5414959, 0.5413914, 0.5413914, 0.5413392, 0.5413392, 0.5412347, 0.5411824, 0.5401697, 0.540013, 0.5399608, 0.5398563, 0.5397518, 0.5385824, 0.5385302, 0.5375697, 0.5373607, 0.5373607, 0.5373085, 0.5372563, 0.5357212, 0.5356689, 0.5356689, 0.5356167, 0.5356167, 0.5355644, 0.5355644, 0.5355644, 0.5347607, 0.534395, 0.5343428, 0.5342906, 0.5342906, 0.5342906, 0.5342906, 0.5341861, 0.5341339, 0.5330689, 0.5329644, 0.5329122, 0.5329122, 0.5329122, 0.5327554, 0.531795]"},{"name":"coverage","value":"349","array_data":"[349, 350, 354, 361, 357, 366, 375, 358, 349, 373, 385, 383, 372, 367, 391, 386, 386, 392, 378, 378, 384, 390, 390, 393, 367, 382, 374, 386, 395, 387, 393, 396, 405, 405, 346, 376, 397, 397, 403, 406, 386, 392, 398, 401, 387, 396, 402, 361, 388, 388, 388, 397, 400, 400, 403, 389, 389, 392, 398, 398, 401, 401, 407, 410, 387, 396, 399, 405, 411, 397, 400, 374, 386, 386, 389, 392, 399, 402, 402, 405, 405, 408, 408, 408, 373, 394, 397, 400, 400, 400, 400, 406, 409, 389, 395, 398, 398, 398, 407, 381]"},{"name":"positives","value":"254","array_data":"[254, 254, 255, 256, 254, 257, 260, 254, 250, 258, 262, 261, 257, 255, 263, 261, 261, 263, 258, 258, 260, 262, 262, 263, 254, 259, 256, 260, 263, 260, 262, 263, 266, 266, 246, 256, 263, 263, 265, 266, 259, 261, 263, 264, 259, 262, 264, 250, 259, 259, 259, 262, 263, 263, 264, 259, 259, 260, 262, 262, 263, 263, 265, 266, 258, 261, 262, 264, 266, 261, 262, 253, 257, 257, 258, 259, 261, 262, 262, 263, 263, 264, 264, 264, 252, 259, 260, 261, 261, 261, 261, 263, 264, 257, 259, 260, 260, 260, 263, 254]"},{"name":"probability","value":"0.7277937","array_data":"[0.7277937, 0.7257143, 0.720339, 0.7091413, 0.7114846, 0.7021858, 0.6933333, 0.7094972, 0.7163324, 0.691689, 0.6805195, 0.6814621, 0.6908602, 0.6948229, 0.6726343, 0.6761658, 0.6761658, 0.6709184, 0.6825397, 0.6825397, 0.6770833, 0.6717949, 0.6717949, 0.6692112, 0.6920981, 0.6780105, 0.684492, 0.6735751, 0.6658228, 0.6718346, 0.6666667, 0.6641414, 0.6567901, 0.6567901, 0.7109827, 0.6808511, 0.6624685, 0.6624685, 0.6575682, 0.6551724, 0.6709845, 0.6658163, 0.660804, 0.6583541, 0.6692506, 0.6616162, 0.6567164, 0.6925208, 0.6675258, 0.6675258, 0.6675258, 0.6599496, 0.6575, 0.6575, 0.6550868, 0.6658098, 0.6658098, 0.6632653, 0.6582915, 0.6582915, 0.6558603, 0.6558603, 0.6511057, 0.6487805, 0.6666667, 0.6590909, 0.6566416, 0.6518519, 0.6472019, 0.6574307, 0.655, 0.6764706, 0.6658031, 0.6658031, 0.6632391, 0.6607143, 0.6541353, 0.6517413, 0.6517413, 0.6493827, 0.6493827, 0.6470588, 0.6470588, 0.6470588, 0.6756032, 0.6573604, 0.6549118, 0.6525, 0.6525, 0.6525, 0.6525, 0.6477833, 0.6454768, 0.6606684, 0.6556962, 0.6532663, 0.6532663, 0.6532663, 0.6461916, 0.6666667]"},{"name":"joint_entropy","value":"2.5185275023404516"},{"name":"pattern_team_auroc10","value":"0.7885824050409093"}]}}}