{"run":{"run_id":"1165080","uploader":"1","uploader_name":"Jan van Rijn","task_id":"55459","task_type":"Subgroup Discovery","flow_id":"4221","flow_name":"SubgroupDiscovery(1)","setup_id":"8215","error":[],"setup_string":"{\"overall_ranking_loss\":\"0.0\",\"post_processing_count\":\"20\",\"search_depth\":\"2\",\"maximum_time\":\"1.0\",\"search_strategy_width\":\"1024\",\"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\":\"256\",\"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":"1024","component":"4221"},{"name":"numeric_operators","value":"≤, ≥, =<\/html>","component":"4221"},{"name":"numeric_strategy","value":"best-bins","component":"4221"},{"name":"nr_bins","value":"256","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":"3204798","name":"description","url":"https:\/\/www.openml.org\/data\/download\/3204798\/run4335669682614399182.xml"},{"did":"-1","file_id":"3204799","name":"subgroups","url":"https:\/\/www.openml.org\/data\/download\/3204799\/subgroups2449787957763296283.csv"}],"evaluation":[{"name":"cortana_quality","value":"0.9558081","array_data":"[0.9558081, 0.9558081, 0.9551768, 0.9551768, 0.9551768, 0.9539142, 0.9532828, 0.9513889, 0.9501263, 0.9482324, 0.947601, 0.9469697, 0.9457071, 0.9450758, 0.9438131, 0.9438131, 0.9431818, 0.9425505, 0.9419192, 0.9419192, 0.9412879, 0.9412879, 0.9412879, 0.9412879, 0.9406565, 0.9406565, 0.9406565, 0.9400253, 0.9400253, 0.9400253, 0.9400253, 0.9400253, 0.9400253, 0.9393939, 0.9393939, 0.9393939, 0.9393939, 0.9387626, 0.9387626, 0.9387626, 0.9387626, 0.9387626, 0.9381313, 0.9381313, 0.9381313, 0.9381313, 0.9381313, 0.9375, 0.9375, 0.9368687, 0.9368687, 0.9368687, 0.9368687, 0.9362374, 0.9362374, 0.9362374, 0.9362374, 0.9356061, 0.9356061, 0.9356061, 0.9356061, 0.9356061, 0.9356061, 0.9349747, 0.9349747, 0.9349747, 0.9349747, 0.9349747, 0.9343435, 0.9343435, 0.9343435, 0.9343435, 0.9343435, 0.9337121, 0.9337121, 0.9337121, 0.9337121, 0.9330808, 0.9330808, 0.9330808, 0.9330808, 0.9324495, 0.9324495, 0.9318182, 0.9318182, 0.9318182, 0.9318182, 0.9318182, 0.9318182, 0.9318182, 0.9311869, 0.9311869, 0.9311869, 0.9311869, 0.9311869, 0.9305556, 0.9305556, 0.9305556, 0.9305556, 0.9305556]"},{"name":"coverage","value":"86","array_data":"[86, 86, 87, 87, 87, 89, 90, 93, 95, 98, 99, 100, 102, 103, 105, 105, 106, 107, 108, 108, 109, 109, 109, 109, 110, 110, 110, 111, 111, 111, 111, 111, 111, 112, 112, 112, 112, 113, 113, 113, 113, 113, 114, 114, 114, 114, 114, 115, 115, 116, 116, 116, 116, 117, 117, 117, 117, 118, 118, 118, 118, 118, 118, 119, 119, 119, 119, 119, 120, 120, 120, 120, 120, 121, 121, 121, 121, 122, 122, 122, 122, 123, 123, 124, 124, 124, 124, 124, 124, 124, 125, 125, 125, 125, 125, 126, 126, 126, 126, 126]"},{"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":"0.1860465","array_data":"[0.1860465, 0.1860465, 0.183908, 0.183908, 0.183908, 0.1797753, 0.1777778, 0.172043, 0.1684211, 0.1632653, 0.1616162, 0.16, 0.1568627, 0.1553398, 0.152381, 0.152381, 0.1509434, 0.1495327, 0.1481481, 0.1481481, 0.146789, 0.146789, 0.146789, 0.146789, 0.1454545, 0.1454545, 0.1454545, 0.1441441, 0.1441441, 0.1441441, 0.1441441, 0.1441441, 0.1441441, 0.1428571, 0.1428571, 0.1428571, 0.1428571, 0.1415929, 0.1415929, 0.1415929, 0.1415929, 0.1415929, 0.1403509, 0.1403509, 0.1403509, 0.1403509, 0.1403509, 0.1391304, 0.1391304, 0.137931, 0.137931, 0.137931, 0.137931, 0.1367521, 0.1367521, 0.1367521, 0.1367521, 0.1355932, 0.1355932, 0.1355932, 0.1355932, 0.1355932, 0.1355932, 0.1344538, 0.1344538, 0.1344538, 0.1344538, 0.1344538, 0.1333333, 0.1333333, 0.1333333, 0.1333333, 0.1333333, 0.1322314, 0.1322314, 0.1322314, 0.1322314, 0.1311475, 0.1311475, 0.1311475, 0.1311475, 0.1300813, 0.1300813, 0.1290323, 0.1290323, 0.1290323, 0.1290323, 0.1290323, 0.1290323, 0.1290323, 0.128, 0.128, 0.128, 0.128, 0.128, 0.1269841, 0.1269841, 0.1269841, 0.1269841, 0.1269841]"},{"name":"joint_entropy","value":"1.6626944587863126"},{"name":"pattern_team_auroc10","value":"0.9681186868686869"}]}}}