{"run":{"run_id":"1068851","uploader":"1","uploader_name":"Jan van Rijn","task_id":"56599","task_type":"Subgroup Discovery","flow_id":"4221","flow_name":"SubgroupDiscovery(1)","setup_id":"8112","error":[],"setup_string":"{\"overall_ranking_loss\":\"0.0\",\"post_processing_count\":\"20\",\"search_depth\":\"2\",\"maximum_time\":\"1.0\",\"search_strategy_width\":\"64\",\"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\":\"32\",\"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":"64","component":"4221"},{"name":"numeric_operators","value":"≤, ≥, =<\/html>","component":"4221"},{"name":"numeric_strategy","value":"bins","component":"4221"},{"name":"nr_bins","value":"32","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":"1457","name":"amazon-commerce-reviews","url":"https:\/\/www.openml.org\/data\/download\/1586202\/phpr1uf8O"}},"output_data":{"file":[{"did":"-1","file_id":"3012256","name":"description","url":"https:\/\/www.openml.org\/data\/download\/3012256\/run2970252589270025322.xml"},{"did":"-1","file_id":"3012257","name":"subgroups","url":"https:\/\/www.openml.org\/data\/download\/3012257\/subgroups6628372882752990796.csv"}],"evaluation":[{"name":"cortana_quality","value":"0.8666667","array_data":"[0.8666667, 0.8605442, 0.8510204, 0.8244898, 0.8190476, 0.8176871, 0.8170068, 0.8170068, 0.8156462, 0.8156462, 0.8142857, 0.8142857, 0.8142857, 0.8136054, 0.8115646, 0.8095238, 0.8088436, 0.8088436, 0.8081633, 0.8081633, 0.807483, 0.807483, 0.8068027, 0.8054422, 0.8054422, 0.8054422, 0.8054422, 0.8047619, 0.8013605, 0.8013605, 0.8, 0.8, 0.8, 0.8, 0.8, 0.7993197, 0.7993197, 0.7993197, 0.7993197, 0.7986395, 0.7986395, 0.7986395, 0.7979592, 0.7972789, 0.7972789, 0.7965986, 0.7959183, 0.7959183, 0.7959183, 0.7959183, 0.7959183, 0.7952381, 0.7952381, 0.7952381, 0.7952381, 0.7952381, 0.7952381, 0.7952381, 0.7945578, 0.7945578, 0.7945578, 0.7945578, 0.7945578, 0.7938775, 0.7938775, 0.7938775, 0.7938775, 0.7938775, 0.7931973, 0.7931973, 0.7931973, 0.7931973, 0.7931973, 0.792517, 0.792517, 0.792517, 0.7918367, 0.7918367, 0.7918367, 0.7918367, 0.7918367, 0.7918367, 0.7918367, 0.7918367, 0.7918367, 0.7918367, 0.7911565, 0.7911565, 0.7911565, 0.7904762, 0.7904762, 0.7904762, 0.7904762, 0.7904762, 0.7904762, 0.7904762, 0.7904762, 0.7904762, 0.7897959, 0.7897959]"},{"name":"coverage","value":"176","array_data":"[176, 185, 149, 138, 146, 148, 299, 299, 151, 151, 153, 153, 103, 104, 157, 160, 161, 161, 162, 162, 113, 113, 164, 166, 166, 166, 116, 167, 272, 272, 174, 174, 174, 174, 174, 175, 175, 175, 125, 176, 176, 176, 127, 178, 178, 179, 180, 180, 180, 180, 130, 181, 181, 181, 181, 181, 181, 181, 182, 182, 182, 182, 182, 183, 183, 183, 183, 133, 184, 184, 184, 184, 134, 185, 185, 135, 336, 336, 186, 186, 186, 186, 186, 186, 186, 86, 287, 237, 187, 288, 188, 188, 188, 188, 188, 188, 188, 188, 289, 189]"},{"name":"positives","value":"29","array_data":"[29, 29, 28, 27, 27, 27, 30, 30, 27, 27, 27, 27, 26, 26, 27, 27, 27, 27, 27, 27, 26, 26, 27, 27, 27, 27, 26, 27, 29, 29, 27, 27, 27, 27, 27, 27, 27, 27, 26, 27, 27, 27, 26, 27, 27, 27, 27, 27, 27, 27, 26, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 26, 27, 27, 27, 27, 26, 27, 27, 26, 30, 30, 27, 27, 27, 27, 27, 27, 27, 25, 29, 28, 27, 29, 27, 27, 27, 27, 27, 27, 27, 27, 29, 27]"},{"name":"probability","value":"0.1647727","array_data":"[0.1647727, 0.1567568, 0.1879195, 0.1956522, 0.1849315, 0.1824324, 0.1003344, 0.1003344, 0.1788079, 0.1788079, 0.1764706, 0.1764706, 0.2524272, 0.25, 0.1719745, 0.16875, 0.1677019, 0.1677019, 0.1666667, 0.1666667, 0.2300885, 0.2300885, 0.1646341, 0.1626506, 0.1626506, 0.1626506, 0.2241379, 0.1616766, 0.1066176, 0.1066176, 0.1551724, 0.1551724, 0.1551724, 0.1551724, 0.1551724, 0.1542857, 0.1542857, 0.1542857, 0.208, 0.1534091, 0.1534091, 0.1534091, 0.2047244, 0.1516854, 0.1516854, 0.150838, 0.15, 0.15, 0.15, 0.15, 0.2, 0.1491713, 0.1491713, 0.1491713, 0.1491713, 0.1491713, 0.1491713, 0.1491713, 0.1483516, 0.1483516, 0.1483516, 0.1483516, 0.1483516, 0.147541, 0.147541, 0.147541, 0.147541, 0.1954887, 0.1467391, 0.1467391, 0.1467391, 0.1467391, 0.1940299, 0.1459459, 0.1459459, 0.1925926, 0.0892857, 0.0892857, 0.1451613, 0.1451613, 0.1451613, 0.1451613, 0.1451613, 0.1451613, 0.1451613, 0.2906977, 0.1010453, 0.1181435, 0.144385, 0.1006944, 0.143617, 0.143617, 0.143617, 0.143617, 0.143617, 0.143617, 0.143617, 0.143617, 0.100346, 0.1428571]"},{"name":"joint_entropy","value":"3.568179010849374"},{"name":"pattern_team_auroc10","value":"0.9484807256235828"}]}}}