{"run":{"run_id":"1500586","uploader":"1","uploader_name":"Jan van Rijn","task_id":"55279","task_type":"Subgroup Discovery","flow_id":"4221","flow_name":"SubgroupDiscovery(1)","setup_id":"8631","error":[],"setup_string":"{\"overall_ranking_loss\":\"0.0\",\"post_processing_count\":\"20\",\"search_depth\":\"4\",\"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\":\"4\",\"maximum_subgroups\":\"100\"}","parameter_setting":[{"name":"search_depth","value":"4","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":"4","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":"1491","name":"one-hundred-plants-margin","url":"https:\/\/www.openml.org\/data\/download\/1592283\/phpCsX3fx"}},"output_data":{"file":[{"did":"-1","file_id":"3892808","name":"description","url":"https:\/\/www.openml.org\/data\/download\/3892808\/run7490911827691990797.xml"},{"did":"-1","file_id":"3892809","name":"subgroups","url":"https:\/\/www.openml.org\/data\/download\/3892809\/subgroups4069131748129157845.csv"}],"evaluation":[{"name":"cortana_quality","value":"0.9772727","array_data":"[0.9772727, 0.9772727, 0.9760101, 0.9747475, 0.9741161, 0.9722222, 0.967803, 0.9621212, 0.9621212, 0.9621212, 0.9621212, 0.9621212, 0.9621212, 0.9614899, 0.9614899, 0.9614899, 0.9614899, 0.9608586, 0.9608586, 0.9608586, 0.9608586, 0.9608586, 0.9608586, 0.9608586, 0.9608586, 0.9608586, 0.9608586, 0.9602273, 0.9602273, 0.9602273, 0.9602273, 0.9602273, 0.9602273, 0.9602273, 0.9602273, 0.9602273, 0.959596, 0.959596, 0.959596, 0.959596, 0.959596, 0.959596, 0.959596, 0.959596, 0.9589646, 0.9589646, 0.9589646, 0.9589646, 0.9589646, 0.9589646, 0.9589646, 0.9589646, 0.9589646, 0.9589646, 0.9589646, 0.9583333, 0.9583333, 0.9583333, 0.9583333, 0.9583333, 0.9583333, 0.9583333, 0.957702, 0.957702, 0.957702, 0.957702, 0.957702, 0.957702, 0.957702, 0.957702, 0.9570707, 0.9570707, 0.9570707, 0.9570707, 0.9564394, 0.9564394, 0.9564394, 0.9564394, 0.9558081, 0.9558081, 0.9558081, 0.9551768, 0.9551768, 0.9551768, 0.9545454, 0.9545454, 0.9539142, 0.9539142, 0.9539142, 0.9532828, 0.9526515, 0.9520202, 0.9520202, 0.9513889, 0.9513889, 0.9513889, 0.9513889, 0.9513889, 0.9507576, 0.9501263]"},{"name":"coverage","value":"52","array_data":"[52, 52, 54, 56, 57, 60, 67, 76, 76, 76, 76, 76, 76, 77, 77, 77, 77, 78, 78, 78, 78, 78, 78, 78, 78, 78, 78, 79, 79, 79, 79, 79, 79, 79, 79, 79, 80, 80, 80, 80, 80, 80, 80, 80, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 81, 82, 82, 82, 82, 82, 82, 82, 83, 83, 83, 83, 83, 83, 83, 83, 84, 84, 84, 84, 85, 85, 85, 85, 86, 86, 86, 87, 87, 87, 88, 88, 89, 89, 89, 90, 91, 92, 92, 93, 93, 93, 93, 93, 94, 95]"},{"name":"positives","value":"16","array_data":"[16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16]"},{"name":"probability","value":"0.3076923","array_data":"[0.3076923, 0.3076923, 0.2962963, 0.2857143, 0.2807018, 0.2666667, 0.238806, 0.2105263, 0.2105263, 0.2105263, 0.2105263, 0.2105263, 0.2105263, 0.2077922, 0.2077922, 0.2077922, 0.2077922, 0.2051282, 0.2051282, 0.2051282, 0.2051282, 0.2051282, 0.2051282, 0.2051282, 0.2051282, 0.2051282, 0.2051282, 0.2025316, 0.2025316, 0.2025316, 0.2025316, 0.2025316, 0.2025316, 0.2025316, 0.2025316, 0.2025316, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.1975309, 0.1975309, 0.1975309, 0.1975309, 0.1975309, 0.1975309, 0.1975309, 0.1975309, 0.1975309, 0.1975309, 0.1975309, 0.195122, 0.195122, 0.195122, 0.195122, 0.195122, 0.195122, 0.195122, 0.1927711, 0.1927711, 0.1927711, 0.1927711, 0.1927711, 0.1927711, 0.1927711, 0.1927711, 0.1904762, 0.1904762, 0.1904762, 0.1904762, 0.1882353, 0.1882353, 0.1882353, 0.1882353, 0.1860465, 0.1860465, 0.1860465, 0.183908, 0.183908, 0.183908, 0.1818182, 0.1818182, 0.1797753, 0.1797753, 0.1797753, 0.1777778, 0.1758242, 0.173913, 0.173913, 0.172043, 0.172043, 0.172043, 0.172043, 0.172043, 0.1702128, 0.1684211]"},{"name":"joint_entropy","value":"1.3673516303769866"},{"name":"pattern_team_auroc10","value":"0.9801136363636364"}]}}}