{"run":{"run_id":"1717529","uploader":"1","uploader_name":"Jan van Rijn","task_id":"55195","task_type":"Subgroup Discovery","flow_id":"4221","flow_name":"SubgroupDiscovery(1)","setup_id":"8587","error":[],"setup_string":"{\"overall_ranking_loss\":\"0.0\",\"post_processing_count\":\"20\",\"search_depth\":\"4\",\"maximum_time\":\"1.0\",\"search_strategy_width\":\"1\",\"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\":\"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":"1","component":"4221"},{"name":"numeric_operators","value":"≤, ≥, =<\/html>","component":"4221"},{"name":"numeric_strategy","value":"best-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":"4343094","name":"description","url":"https:\/\/www.openml.org\/data\/download\/4343094\/run2917231729917098808.xml"},{"did":"-1","file_id":"4343095","name":"subgroups","url":"https:\/\/www.openml.org\/data\/download\/4343095\/subgroups2394520089715411013.csv"}],"evaluation":[{"name":"cortana_quality","value":"0.9943182","array_data":"[0.9943182, 0.9930556, 0.9911616, 0.9911616, 0.989899, 0.989899, 0.988005, 0.988005, 0.9873737, 0.9867424, 0.9867424, 0.9867424, 0.9861111, 0.9861111, 0.9861111, 0.9861111, 0.9854798, 0.9854798, 0.9848485, 0.9848485, 0.9842172, 0.9835858, 0.9823232, 0.9810606, 0.9810606, 0.979798, 0.9791667, 0.9709596, 0.9709596, 0.9690657, 0.9690657, 0.9684343, 0.9684343, 0.9684343, 0.9684343, 0.967803, 0.967803, 0.967803, 0.9671717, 0.9671717, 0.9671717, 0.9671717, 0.9671717, 0.9665404, 0.9665404, 0.9665404, 0.9665404, 0.9665404, 0.9659091, 0.9659091, 0.9646465, 0.9646465, 0.9640151, 0.9640151, 0.9627525, 0.9564394, 0.9564394, 0.9551768, 0.9431818, 0.9387626, 0.9318182, 0.9311869, 0.9236111, 0.9236111, 0.9236111, 0.9236111, 0.9236111, 0.9236111, 0.9236111, 0.9236111, 0.9236111, 0.9236111, 0.9236111, 0.9229798, 0.9229798, 0.9229798, 0.9210858, 0.9166667, 0.9135101, 0.9116161, 0.9109849, 0.9109849, 0.905303, 0.905303, 0.905303, 0.9046717, 0.9046717, 0.9046717, 0.9046717, 0.9046717, 0.9040404, 0.9040404, 0.9034091, 0.9027778, 0.9021465, 0.8996212, 0.8989899, 0.8825758, 0.8806818, 0.8787879]"},{"name":"coverage","value":"25","array_data":"[25, 27, 30, 30, 32, 32, 35, 35, 36, 37, 37, 37, 38, 38, 38, 38, 39, 39, 40, 40, 41, 42, 44, 46, 46, 48, 49, 62, 62, 65, 65, 66, 66, 66, 66, 67, 67, 67, 68, 68, 68, 68, 68, 69, 69, 69, 69, 69, 70, 70, 72, 72, 73, 73, 75, 85, 85, 87, 106, 113, 24, 25, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 37, 38, 38, 38, 41, 48, 53, 56, 157, 157, 66, 66, 66, 67, 67, 67, 67, 67, 68, 68, 69, 70, 71, 75, 76, 202, 205, 208]"},{"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, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 16, 16, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 16, 16, 16]"},{"name":"probability","value":"0.64","array_data":"[0.64, 0.5925926, 0.5333333, 0.5333333, 0.5, 0.5, 0.4571429, 0.4571429, 0.4444444, 0.4324324, 0.4324324, 0.4324324, 0.4210526, 0.4210526, 0.4210526, 0.4210526, 0.4102564, 0.4102564, 0.4, 0.4, 0.3902439, 0.3809524, 0.3636364, 0.3478261, 0.3478261, 0.3333333, 0.3265306, 0.2580645, 0.2580645, 0.2461538, 0.2461538, 0.2424242, 0.2424242, 0.2424242, 0.2424242, 0.238806, 0.238806, 0.238806, 0.2352941, 0.2352941, 0.2352941, 0.2352941, 0.2352941, 0.2318841, 0.2318841, 0.2318841, 0.2318841, 0.2318841, 0.2285714, 0.2285714, 0.2222222, 0.2222222, 0.2191781, 0.2191781, 0.2133333, 0.1882353, 0.1882353, 0.183908, 0.1509434, 0.1415929, 0.625, 0.6, 0.4054054, 0.4054054, 0.4054054, 0.4054054, 0.4054054, 0.4054054, 0.4054054, 0.4054054, 0.4054054, 0.4054054, 0.4054054, 0.3947368, 0.3947368, 0.3947368, 0.3658537, 0.3125, 0.2830189, 0.2678571, 0.1019108, 0.1019108, 0.2272727, 0.2272727, 0.2272727, 0.2238806, 0.2238806, 0.2238806, 0.2238806, 0.2238806, 0.2205882, 0.2205882, 0.2173913, 0.2142857, 0.2112676, 0.2, 0.1973684, 0.0792079, 0.0780488, 0.0769231]"},{"name":"joint_entropy","value":"1.978722308912741"},{"name":"pattern_team_auroc10","value":"0.9895833333333333"}]}}}