{"run":{"run_id":"1268392","uploader":"1","uploader_name":"Jan van Rijn","task_id":"53407","task_type":"Subgroup Discovery","flow_id":"4221","flow_name":"SubgroupDiscovery(1)","setup_id":"8330","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\":\"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\":\"128\",\"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":"bins","component":"4221"},{"name":"nr_bins","value":"128","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":"3418298","name":"description","url":"https:\/\/www.openml.org\/data\/download\/3418298\/run6730578433148039713.xml"},{"did":"-1","file_id":"3418299","name":"subgroups","url":"https:\/\/www.openml.org\/data\/download\/3418299\/subgroups8134788669854982511.csv"}],"evaluation":[{"name":"cortana_quality","value":"0.9528414","array_data":"[0.9528414, 0.9528414, 0.952658, 0.952658, 0.9518819, 0.9518819, 0.9518678, 0.9518678, 0.9510635, 0.9510635, 0.9510493, 0.9510493, 0.95064, 0.95064, 0.9504566, 0.9504566, 0.9500757, 0.9500757, 0.9498923, 0.9498923, 0.9496948, 0.9496948, 0.9491021, 0.9491021, 0.9489187, 0.9489187, 0.9488904, 0.9488904, 0.9485095, 0.9485095, 0.9481285, 0.9481285, 0.9481002, 0.9481002, 0.9477193, 0.9477193, 0.9477051, 0.9477051, 0.9477051, 0.9477051, 0.9475076, 0.9475076, 0.9471266, 0.9471266, 0.9471266, 0.9471266, 0.9471266, 0.9471266, 0.9471266, 0.9471266, 0.9467456, 0.9467456, 0.9465339, 0.9465339, 0.9461247, 0.9461247, 0.9458705, 0.9458705, 0.9457012, 0.9457012, 0.9456588, 0.9456588, 0.9455462, 0.9455462, 0.9455462, 0.9455462, 0.9453628, 0.9453628, 0.9453345, 0.9453345, 0.9451369, 0.9451369, 0.9449536, 0.9449536, 0.9449252, 0.9449252, 0.9447702, 0.9447702, 0.9445726, 0.9445726, 0.9445443, 0.9445443, 0.9443609, 0.9443609, 0.9443609, 0.9443609, 0.9442051, 0.9442051, 0.9441633, 0.9441633, 0.9441492, 0.9441492, 0.9441492, 0.9441492, 0.9439375, 0.9439375, 0.9437541, 0.9437541, 0.9437116, 0.9437116]"},{"name":"coverage","value":"696","array_data":"[696, 696, 707, 707, 721, 721, 711, 711, 705, 705, 695, 695, 687, 687, 698, 698, 710, 710, 721, 721, 722, 722, 725, 725, 736, 736, 716, 716, 728, 728, 740, 740, 720, 720, 732, 732, 722, 722, 722, 722, 723, 723, 735, 735, 735, 735, 735, 735, 735, 735, 747, 747, 738, 738, 730, 730, 691, 691, 712, 712, 682, 682, 743, 743, 743, 743, 754, 754, 734, 734, 735, 735, 746, 746, 726, 726, 757, 757, 758, 758, 738, 738, 749, 749, 749, 749, 639, 639, 750, 750, 740, 740, 740, 740, 731, 731, 742, 742, 712, 712]"},{"name":"positives","value":"548","array_data":"[548, 548, 549, 549, 550, 550, 549, 549, 548, 548, 547, 547, 546, 546, 547, 547, 548, 548, 549, 549, 549, 549, 549, 549, 550, 550, 548, 548, 549, 549, 550, 550, 548, 548, 549, 549, 548, 548, 548, 548, 548, 548, 549, 549, 549, 549, 549, 549, 549, 549, 550, 550, 549, 549, 548, 548, 544, 544, 546, 546, 543, 543, 549, 549, 549, 549, 550, 550, 548, 548, 548, 548, 549, 549, 547, 547, 550, 550, 550, 550, 548, 548, 549, 549, 549, 549, 538, 538, 549, 549, 548, 548, 548, 548, 547, 547, 548, 548, 545, 545]"},{"name":"probability","value":"0.7873563","array_data":"[0.7873563, 0.7873563, 0.7765205, 0.7765205, 0.7628294, 0.7628294, 0.7721519, 0.7721519, 0.777305, 0.777305, 0.7870504, 0.7870504, 0.7947598, 0.7947598, 0.7836676, 0.7836676, 0.771831, 0.771831, 0.7614424, 0.7614424, 0.7603878, 0.7603878, 0.7572414, 0.7572414, 0.7472826, 0.7472826, 0.7653631, 0.7653631, 0.7541209, 0.7541209, 0.7432432, 0.7432432, 0.7611111, 0.7611111, 0.75, 0.75, 0.7590028, 0.7590028, 0.7590028, 0.7590028, 0.757953, 0.757953, 0.7469388, 0.7469388, 0.7469388, 0.7469388, 0.7469388, 0.7469388, 0.7469388, 0.7469388, 0.7362784, 0.7362784, 0.7439024, 0.7439024, 0.7506849, 0.7506849, 0.7872648, 0.7872648, 0.7668539, 0.7668539, 0.7961877, 0.7961877, 0.7388964, 0.7388964, 0.7388964, 0.7388964, 0.729443, 0.729443, 0.746594, 0.746594, 0.7455782, 0.7455782, 0.7359249, 0.7359249, 0.7534435, 0.7534435, 0.7265522, 0.7265522, 0.7255937, 0.7255937, 0.7425474, 0.7425474, 0.7329773, 0.7329773, 0.7329773, 0.7329773, 0.8419405, 0.8419405, 0.732, 0.732, 0.7405405, 0.7405405, 0.7405405, 0.7405405, 0.74829, 0.74829, 0.7385445, 0.7385445, 0.7654494, 0.7654494]"},{"name":"joint_entropy","value":"1.0251811767872363"},{"name":"pattern_team_auroc10","value":"0.9823689830333258"}]}}}