{"run":{"run_id":"964903","uploader":"1","uploader_name":"Jan van Rijn","task_id":"55631","task_type":"Subgroup Discovery","flow_id":"4221","flow_name":"SubgroupDiscovery(1)","setup_id":"7997","error":[],"setup_string":"{\"overall_ranking_loss\":\"0.0\",\"post_processing_count\":\"20\",\"search_depth\":\"2\",\"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\":\"64\",\"maximum_subgroups\":\"100\"}","parameter_setting":[{"name":"search_depth","value":"2","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":"64","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":"1492","name":"one-hundred-plants-shape","url":"https:\/\/www.openml.org\/data\/download\/1592284\/php0FyS2T"}},"output_data":{"file":[{"did":"-1","file_id":"2804323","name":"description","url":"https:\/\/www.openml.org\/data\/download\/2804323\/run7799896417641749583.xml"},{"did":"-1","file_id":"2804324","name":"subgroups","url":"https:\/\/www.openml.org\/data\/download\/2804324\/subgroups5909958445037599484.csv"}],"evaluation":[{"name":"cortana_quality","value":"0.9829546","array_data":"[0.9829546, 0.9816919, 0.9810606, 0.977904, 0.9766414, 0.9741161, 0.9741161, 0.9734849, 0.9715909, 0.9709596, 0.9684343, 0.967803, 0.9671717, 0.9640151, 0.9640151, 0.9621212, 0.9608586, 0.9583333, 0.9583333, 0.9570707, 0.9539142, 0.9539142, 0.9520202, 0.9520202, 0.9482324, 0.9450758, 0.9450758, 0.9450758, 0.9444444, 0.9431818, 0.9406565, 0.9387626, 0.9387626, 0.9387626, 0.9387626, 0.9381313, 0.9375, 0.9330808, 0.9318182, 0.9318182, 0.9305556, 0.9292929, 0.9292929, 0.9286616, 0.9280303, 0.925505, 0.925505, 0.925505, 0.9248737, 0.9248737, 0.9242424, 0.9236111, 0.9229798, 0.9223485, 0.9223485, 0.9223485, 0.9217172, 0.9204546, 0.9191919, 0.9185606, 0.9179293, 0.9179293, 0.917298, 0.9160354, 0.9160354, 0.9160354, 0.9160354, 0.9160354, 0.915404, 0.915404, 0.9147727, 0.9147727, 0.9141414, 0.9135101, 0.9128788, 0.9128788, 0.9116161, 0.9097222, 0.9097222, 0.9097222, 0.9090909, 0.907197, 0.905303, 0.9046717, 0.9040404, 0.9034091, 0.9034091, 0.9034091, 0.9021465, 0.9015151, 0.9008839, 0.9008839, 0.9002525, 0.8983586, 0.8983586, 0.897096, 0.8964646, 0.8964646, 0.895202, 0.8945707]"},{"name":"coverage","value":"43","array_data":"[43, 45, 46, 51, 53, 57, 57, 58, 61, 62, 66, 67, 68, 73, 73, 76, 78, 82, 82, 84, 89, 89, 92, 92, 98, 103, 103, 103, 104, 106, 110, 113, 113, 113, 113, 114, 115, 122, 124, 124, 126, 128, 128, 129, 130, 134, 134, 134, 135, 135, 136, 137, 138, 139, 139, 139, 140, 142, 144, 145, 146, 146, 147, 149, 149, 149, 149, 149, 150, 150, 151, 151, 152, 153, 154, 154, 156, 159, 159, 159, 160, 163, 166, 167, 168, 169, 169, 169, 171, 172, 173, 173, 174, 177, 177, 179, 180, 180, 182, 183]"},{"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":"0.372093","array_data":"[0.372093, 0.3555556, 0.3478261, 0.3137255, 0.3018868, 0.2807018, 0.2807018, 0.2758621, 0.2622951, 0.2580645, 0.2424242, 0.238806, 0.2352941, 0.2191781, 0.2191781, 0.2105263, 0.2051282, 0.195122, 0.195122, 0.1904762, 0.1797753, 0.1797753, 0.173913, 0.173913, 0.1632653, 0.1553398, 0.1553398, 0.1553398, 0.1538462, 0.1509434, 0.1454545, 0.1415929, 0.1415929, 0.1415929, 0.1415929, 0.1403509, 0.1391304, 0.1311475, 0.1290323, 0.1290323, 0.1269841, 0.125, 0.125, 0.124031, 0.1230769, 0.119403, 0.119403, 0.119403, 0.1185185, 0.1185185, 0.1176471, 0.1167883, 0.115942, 0.1151079, 0.1151079, 0.1151079, 0.1142857, 0.1126761, 0.1111111, 0.1103448, 0.109589, 0.109589, 0.1088435, 0.1073826, 0.1073826, 0.1073826, 0.1073826, 0.1073826, 0.1066667, 0.1066667, 0.1059603, 0.1059603, 0.1052632, 0.1045752, 0.1038961, 0.1038961, 0.1025641, 0.1006289, 0.1006289, 0.1006289, 0.1, 0.0981595, 0.0963855, 0.0958084, 0.0952381, 0.0946746, 0.0946746, 0.0946746, 0.0935673, 0.0930233, 0.0924855, 0.0924855, 0.091954, 0.0903955, 0.0903955, 0.0893855, 0.0888889, 0.0888889, 0.0879121, 0.0874317]"},{"name":"joint_entropy","value":"2.4903648226298167"},{"name":"pattern_team_auroc10","value":"0.9646464646464646"}]}}}