{"run":{"run_id":"1515944","uploader":"1","uploader_name":"Jan van Rijn","task_id":"55335","task_type":"Subgroup Discovery","flow_id":"4221","flow_name":"SubgroupDiscovery(1)","setup_id":"8648","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\":\"2\",\"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":"2","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":"3923524","name":"description","url":"https:\/\/www.openml.org\/data\/download\/3923524\/run5485156480193724107.xml"},{"did":"-1","file_id":"3923525","name":"subgroups","url":"https:\/\/www.openml.org\/data\/download\/3923525\/subgroups6372730973227332372.csv"}],"evaluation":[{"name":"cortana_quality","value":"0.9520202","array_data":"[0.9520202, 0.9507576, 0.9507576, 0.949495, 0.949495, 0.949495, 0.9488636, 0.947601, 0.9469697, 0.9457071, 0.9431818, 0.9425505, 0.9375, 0.9362374, 0.9362374, 0.9362374, 0.9362374, 0.9330808, 0.9330808, 0.9318182, 0.9318182, 0.9318182, 0.9280303, 0.9267676, 0.9261364, 0.9248737, 0.9248737, 0.9236111, 0.9236111, 0.9217172, 0.9217172, 0.9217172, 0.9217172, 0.9204546, 0.9204546, 0.9191919, 0.9191919, 0.9179293, 0.9179293, 0.9179293, 0.9179293, 0.917298, 0.917298, 0.9141414, 0.9141414, 0.9141414, 0.9141414, 0.9135101, 0.9135101, 0.8964646, 0.8964646, 0.8964646, 0.8964646, 0.8958333, 0.8958333, 0.895202, 0.895202, 0.8945707, 0.8945707, 0.8939394, 0.8939394, 0.8939394, 0.8926768, 0.8926768, 0.8920454, 0.8920454, 0.8914142, 0.8907828, 0.8907828, 0.8901515, 0.8901515, 0.8888889, 0.8888889, 0.8882576, 0.8882576, 0.8882576, 0.8882576, 0.8882576, 0.8876263, 0.8876263, 0.8876263, 0.8876263, 0.8876263, 0.8876263, 0.886995, 0.886995, 0.886995, 0.886995, 0.886995, 0.886995, 0.8863636, 0.885101, 0.8844697, 0.8844697, 0.8838384, 0.8832071, 0.8825758, 0.8819444, 0.8819444, 0.8806818]"},{"name":"coverage","value":"92","array_data":"[92, 94, 94, 96, 96, 96, 97, 99, 100, 102, 106, 107, 115, 117, 117, 117, 117, 122, 122, 124, 124, 124, 130, 132, 133, 135, 135, 137, 137, 140, 140, 140, 140, 142, 142, 144, 144, 146, 146, 146, 146, 147, 147, 152, 152, 152, 152, 153, 153, 180, 180, 180, 180, 181, 181, 182, 182, 183, 183, 184, 184, 184, 186, 186, 187, 187, 188, 189, 189, 190, 190, 192, 192, 193, 193, 193, 93, 93, 194, 194, 194, 194, 94, 94, 195, 195, 195, 195, 95, 95, 96, 98, 199, 99, 200, 101, 102, 203, 203, 105]"},{"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, 15, 15, 16, 16, 16, 16, 15, 15, 16, 16, 16, 16, 15, 15, 15, 15, 16, 15, 16, 15, 15, 16, 16, 15]"},{"name":"probability","value":"0.173913","array_data":"[0.173913, 0.1702128, 0.1702128, 0.1666667, 0.1666667, 0.1666667, 0.1649485, 0.1616162, 0.16, 0.1568627, 0.1509434, 0.1495327, 0.1391304, 0.1367521, 0.1367521, 0.1367521, 0.1367521, 0.1311475, 0.1311475, 0.1290323, 0.1290323, 0.1290323, 0.1230769, 0.1212121, 0.1203008, 0.1185185, 0.1185185, 0.1167883, 0.1167883, 0.1142857, 0.1142857, 0.1142857, 0.1142857, 0.1126761, 0.1126761, 0.1111111, 0.1111111, 0.109589, 0.109589, 0.109589, 0.109589, 0.1088435, 0.1088435, 0.1052632, 0.1052632, 0.1052632, 0.1052632, 0.1045752, 0.1045752, 0.0888889, 0.0888889, 0.0888889, 0.0888889, 0.0883978, 0.0883978, 0.0879121, 0.0879121, 0.0874317, 0.0874317, 0.0869565, 0.0869565, 0.0869565, 0.0860215, 0.0860215, 0.0855615, 0.0855615, 0.0851064, 0.0846561, 0.0846561, 0.0842105, 0.0842105, 0.0833333, 0.0833333, 0.0829016, 0.0829016, 0.0829016, 0.1612903, 0.1612903, 0.0824742, 0.0824742, 0.0824742, 0.0824742, 0.1595745, 0.1595745, 0.0820513, 0.0820513, 0.0820513, 0.0820513, 0.1578947, 0.1578947, 0.15625, 0.1530612, 0.080402, 0.1515152, 0.08, 0.1485149, 0.1470588, 0.0788177, 0.0788177, 0.1428571]"},{"name":"joint_entropy","value":"3.2592562313502573"},{"name":"pattern_team_auroc10","value":"0.9589646464646464"}]}}}