{"run":{"run_id":"956668","uploader":"1","uploader_name":"Jan van Rijn","task_id":"55135","task_type":"Subgroup Discovery","flow_id":"4221","flow_name":"SubgroupDiscovery(1)","setup_id":"7988","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\":\"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":"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":"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":"1491","name":"one-hundred-plants-margin","url":"https:\/\/www.openml.org\/data\/download\/1592283\/phpCsX3fx"}},"output_data":{"file":[{"did":"-1","file_id":"2787853","name":"description","url":"https:\/\/www.openml.org\/data\/download\/2787853\/run8245116007466268449.xml"},{"did":"-1","file_id":"2787854","name":"subgroups","url":"https:\/\/www.openml.org\/data\/download\/2787854\/subgroups290197678363640984.csv"}],"evaluation":[{"name":"cortana_quality","value":"0.9646465","array_data":"[0.9646465, 0.9614899, 0.9583333, 0.9583333, 0.9564394, 0.9539142, 0.9507576, 0.9501263, 0.9488636, 0.9482324, 0.9469697, 0.9463384, 0.9457071, 0.9431818, 0.9431818, 0.9412879, 0.9406565, 0.9387626, 0.9387626, 0.9362374, 0.9349747, 0.9337121, 0.9330808, 0.9324495, 0.9324495, 0.9305556, 0.9299242, 0.927399, 0.927399, 0.9267676, 0.925505, 0.9236111, 0.9217172, 0.9198232, 0.9191919, 0.9191919, 0.9185606, 0.9179293, 0.915404, 0.9135101, 0.9122475, 0.9116161, 0.9090909, 0.9090909, 0.9078283, 0.9065657, 0.905303, 0.905303, 0.9040404, 0.9034091, 0.9034091, 0.9034091, 0.9021465, 0.9008839, 0.8989899, 0.8989899, 0.8983586, 0.8964646, 0.8964646, 0.8958333, 0.8958333, 0.895202, 0.8945707, 0.8939394, 0.8914142, 0.8914142, 0.8907828, 0.8901515, 0.8901515, 0.8895202, 0.8895202, 0.8895202, 0.8888889, 0.8888889, 0.8876263, 0.886995, 0.8863636, 0.8857324, 0.8857324, 0.8844697, 0.8844697, 0.8844697, 0.8844697, 0.8844697, 0.8844697, 0.8844697, 0.8838384, 0.8832071, 0.8832071, 0.8825758, 0.8819444, 0.8819444, 0.8813131, 0.8813131, 0.8813131, 0.8813131, 0.8806818, 0.8806818, 0.8800505, 0.8794192]"},{"name":"coverage","value":"72","array_data":"[72, 77, 82, 82, 85, 89, 94, 95, 97, 98, 100, 101, 102, 106, 106, 109, 110, 113, 113, 117, 119, 121, 122, 123, 123, 126, 127, 131, 131, 132, 134, 137, 140, 143, 144, 144, 145, 146, 150, 153, 155, 156, 160, 160, 162, 164, 166, 166, 168, 169, 169, 169, 171, 173, 176, 176, 177, 180, 180, 181, 181, 182, 183, 184, 188, 88, 189, 190, 190, 191, 191, 191, 192, 192, 194, 195, 96, 197, 197, 199, 199, 199, 199, 199, 99, 99, 200, 201, 101, 202, 203, 103, 204, 204, 204, 204, 205, 205, 206, 207]"},{"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, 15, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 15, 16, 16, 16, 16, 16, 16, 16, 15, 15, 16, 16, 15, 16, 16, 15, 16, 16, 16, 16, 16, 16, 16, 16]"},{"name":"probability","value":"0.2222222","array_data":"[0.2222222, 0.2077922, 0.195122, 0.195122, 0.1882353, 0.1797753, 0.1702128, 0.1684211, 0.1649485, 0.1632653, 0.16, 0.1584158, 0.1568627, 0.1509434, 0.1509434, 0.146789, 0.1454545, 0.1415929, 0.1415929, 0.1367521, 0.1344538, 0.1322314, 0.1311475, 0.1300813, 0.1300813, 0.1269841, 0.1259843, 0.1221374, 0.1221374, 0.1212121, 0.119403, 0.1167883, 0.1142857, 0.1118881, 0.1111111, 0.1111111, 0.1103448, 0.109589, 0.1066667, 0.1045752, 0.1032258, 0.1025641, 0.1, 0.1, 0.0987654, 0.097561, 0.0963855, 0.0963855, 0.0952381, 0.0946746, 0.0946746, 0.0946746, 0.0935673, 0.0924855, 0.0909091, 0.0909091, 0.0903955, 0.0888889, 0.0888889, 0.0883978, 0.0883978, 0.0879121, 0.0874317, 0.0869565, 0.0851064, 0.1704545, 0.0846561, 0.0842105, 0.0842105, 0.0837696, 0.0837696, 0.0837696, 0.0833333, 0.0833333, 0.0824742, 0.0820513, 0.15625, 0.0812183, 0.0812183, 0.080402, 0.080402, 0.080402, 0.080402, 0.080402, 0.1515152, 0.1515152, 0.08, 0.079602, 0.1485149, 0.0792079, 0.0788177, 0.1456311, 0.0784314, 0.0784314, 0.0784314, 0.0784314, 0.0780488, 0.0780488, 0.0776699, 0.0772947]"},{"name":"joint_entropy","value":"2.762300821788781"},{"name":"pattern_team_auroc10","value":"0.9517045454545455"}]}}}