{"run":{"run_id":"1158179","uploader":"1","uploader_name":"Jan van Rijn","task_id":"56599","task_type":"Subgroup Discovery","flow_id":"4221","flow_name":"SubgroupDiscovery(1)","setup_id":"8207","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\":\"all\",\"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\":\"8\",\"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":"all","component":"4221"},{"name":"nr_bins","value":"8","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":"3190993","name":"description","url":"https:\/\/www.openml.org\/data\/download\/3190993\/run7329505545301248444.xml"},{"did":"-1","file_id":"3190994","name":"subgroups","url":"https:\/\/www.openml.org\/data\/download\/3190994\/subgroups5936699780662035198.csv"}],"evaluation":[{"name":"cortana_quality","value":"0.885034","array_data":"[0.885034, 0.8782313, 0.8782313, 0.8761905, 0.8761905, 0.8734694, 0.8707483, 0.8707483, 0.8693877, 0.8680272, 0.8680272, 0.8673469, 0.8666667, 0.8659864, 0.8653061, 0.8646259, 0.8639456, 0.862585, 0.8605442, 0.8605442, 0.8598639, 0.8578231, 0.8578231, 0.8578231, 0.8578231, 0.8578231, 0.8571429, 0.8564626, 0.8564626, 0.8564626, 0.8557823, 0.8551021, 0.8551021, 0.8551021, 0.8544218, 0.8544218, 0.8544218, 0.8544218, 0.8544218, 0.8537415, 0.8537415, 0.8530612, 0.8530612, 0.8530612, 0.8530612, 0.8530612, 0.8530612, 0.8523809, 0.8523809, 0.8523809, 0.8517007, 0.8517007, 0.8510204, 0.8510204, 0.8503401, 0.8503401, 0.8496599, 0.8496599, 0.8496599, 0.8496599, 0.8496599, 0.8496599, 0.8496599, 0.8496599, 0.8496599, 0.8489796, 0.8489796, 0.8482993, 0.8482993, 0.8482993, 0.8482993, 0.8482993, 0.8482993, 0.8482993, 0.8482993, 0.8476191, 0.8476191, 0.8476191, 0.8476191, 0.8476191, 0.8469388, 0.8469388, 0.8462585, 0.8462585, 0.8462585, 0.8462585, 0.8462585, 0.8462585, 0.8462585, 0.8455783, 0.8455783, 0.8455783, 0.8455783, 0.8455783, 0.844898, 0.844898, 0.844898, 0.844898, 0.844898, 0.844898]"},{"name":"coverage","value":"149","array_data":"[149, 159, 109, 162, 112, 166, 120, 120, 172, 174, 174, 175, 176, 177, 178, 179, 180, 182, 185, 135, 186, 189, 189, 189, 189, 189, 190, 191, 191, 191, 192, 193, 193, 93, 194, 194, 194, 194, 144, 195, 195, 196, 196, 196, 196, 196, 196, 197, 197, 197, 198, 198, 199, 149, 200, 200, 201, 201, 201, 201, 201, 201, 201, 201, 201, 202, 102, 203, 203, 203, 203, 203, 203, 153, 103, 204, 204, 204, 204, 204, 205, 155, 206, 206, 206, 206, 206, 156, 106, 207, 207, 207, 207, 207, 208, 208, 208, 208, 208, 208]"},{"name":"positives","value":"29","array_data":"[29, 29, 28, 29, 28, 29, 28, 28, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 28, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 27, 29, 29, 29, 29, 28, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 28, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 27, 29, 29, 29, 29, 29, 29, 28, 27, 29, 29, 29, 29, 29, 29, 28, 29, 29, 29, 29, 29, 28, 27, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29]"},{"name":"probability","value":"0.1946309","array_data":"[0.1946309, 0.1823899, 0.2568807, 0.1790123, 0.25, 0.1746988, 0.2333333, 0.2333333, 0.1686047, 0.1666667, 0.1666667, 0.1657143, 0.1647727, 0.1638418, 0.1629213, 0.1620112, 0.1611111, 0.1593407, 0.1567568, 0.2074074, 0.155914, 0.1534392, 0.1534392, 0.1534392, 0.1534392, 0.1534392, 0.1526316, 0.1518325, 0.1518325, 0.1518325, 0.1510417, 0.1502591, 0.1502591, 0.2903226, 0.1494845, 0.1494845, 0.1494845, 0.1494845, 0.1944444, 0.1487179, 0.1487179, 0.1479592, 0.1479592, 0.1479592, 0.1479592, 0.1479592, 0.1479592, 0.1472081, 0.1472081, 0.1472081, 0.1464646, 0.1464646, 0.1457286, 0.1879195, 0.145, 0.145, 0.1442786, 0.1442786, 0.1442786, 0.1442786, 0.1442786, 0.1442786, 0.1442786, 0.1442786, 0.1442786, 0.1435644, 0.2647059, 0.1428571, 0.1428571, 0.1428571, 0.1428571, 0.1428571, 0.1428571, 0.1830065, 0.2621359, 0.1421569, 0.1421569, 0.1421569, 0.1421569, 0.1421569, 0.1414634, 0.1806452, 0.1407767, 0.1407767, 0.1407767, 0.1407767, 0.1407767, 0.1794872, 0.254717, 0.1400966, 0.1400966, 0.1400966, 0.1400966, 0.1400966, 0.1394231, 0.1394231, 0.1394231, 0.1394231, 0.1394231, 0.1394231]"},{"name":"joint_entropy","value":"1.9776716001779935"},{"name":"pattern_team_auroc10","value":"0.9501360544217688"}]}}}