{"run":{"run_id":"728708","uploader":"1","uploader_name":"Jan van Rijn","task_id":"55631","task_type":"Subgroup Discovery","flow_id":"4221","flow_name":"SubgroupDiscovery(1)","setup_id":"7736","error":[],"setup_string":"{\"overall_ranking_loss\":\"0.0\",\"post_processing_count\":\"20\",\"search_depth\":\"1\",\"maximum_time\":\"1.0\",\"search_strategy_width\":\"16\",\"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":"1","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":"16","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":"1492","name":"one-hundred-plants-shape","url":"https:\/\/www.openml.org\/data\/download\/1592284\/php0FyS2T"}},"output_data":{"file":[{"did":"-1","file_id":"2331928","name":"description","url":"https:\/\/www.openml.org\/data\/download\/2331928\/run8250037274632209283.xml"},{"did":"-1","file_id":"2331929","name":"subgroups","url":"https:\/\/www.openml.org\/data\/download\/2331929\/subgroups6444780296345405179.csv"}],"evaluation":[{"name":"cortana_quality","value":"0.8674242","array_data":"[0.8674242, 0.8598485, 0.8510101, 0.8440657, 0.8358586, 0.8352273, 0.8282828, 0.8263889, 0.8200758, 0.8194444, 0.8125, 0.8118687, 0.8112374, 0.8112374, 0.8106061, 0.8042929, 0.8042929, 0.8042929, 0.8042929, 0.8036616, 0.7967172, 0.7967172, 0.7967172, 0.7960858, 0.7960858, 0.7960858, 0.7954546, 0.7954546, 0.7885101, 0.7885101, 0.7885101, 0.7885101, 0.7878788, 0.7878788, 0.7878788, 0.7878788, 0.7878788, 0.7878788, 0.7878788, 0.7878788, 0.7809343, 0.7809343, 0.7809343, 0.7809343, 0.7809343, 0.7809343, 0.7809343, 0.780303, 0.7796717, 0.7796717, 0.7796717, 0.7796717, 0.7790404, 0.7727273, 0.7727273, 0.7727273, 0.7727273, 0.7727273, 0.7727273, 0.7727273, 0.772096, 0.772096, 0.772096, 0.7714646, 0.7714646, 0.7708333, 0.7708333, 0.7651515, 0.7651515, 0.7651515, 0.7651515, 0.7651515, 0.7645202, 0.7645202, 0.7645202, 0.7645202, 0.7645202, 0.7632576, 0.7626263, 0.7626263, 0.761995, 0.7569444, 0.7569444, 0.7569444, 0.7569444, 0.7569444, 0.7569444, 0.7569444, 0.7569444, 0.7569444, 0.7569444, 0.7569444, 0.7563131, 0.7563131, 0.7563131, 0.7563131, 0.7563131, 0.7563131, 0.7563131, 0.7544192]"},{"name":"coverage","value":"226","array_data":"[226, 238, 252, 263, 276, 277, 288, 291, 301, 302, 213, 314, 315, 215, 316, 326, 326, 326, 326, 227, 338, 338, 338, 339, 239, 239, 340, 340, 351, 351, 351, 251, 352, 352, 352, 252, 252, 252, 252, 152, 363, 363, 363, 363, 263, 263, 263, 364, 365, 265, 265, 165, 366, 376, 376, 376, 276, 276, 276, 176, 377, 377, 377, 378, 178, 379, 279, 388, 288, 288, 288, 188, 389, 389, 389, 389, 289, 391, 392, 192, 393, 401, 401, 401, 401, 301, 301, 201, 201, 201, 201, 201, 402, 402, 402, 402, 302, 302, 202, 205]"},{"name":"positives","value":"16","array_data":"[16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 15, 16, 16, 15, 16, 16, 16, 16, 16, 15, 16, 16, 16, 16, 15, 15, 16, 16, 16, 16, 16, 15, 16, 16, 16, 15, 15, 15, 15, 14, 16, 16, 16, 16, 15, 15, 15, 16, 16, 15, 15, 14, 16, 16, 16, 16, 15, 15, 15, 14, 16, 16, 16, 16, 14, 16, 15, 16, 15, 15, 15, 14, 16, 16, 16, 16, 15, 16, 16, 14, 16, 16, 16, 16, 16, 15, 15, 14, 14, 14, 14, 14, 16, 16, 16, 16, 15, 15, 14, 14]"},{"name":"probability","value":"0.0707965","array_data":"[0.0707965, 0.0672269, 0.0634921, 0.0608365, 0.057971, 0.0577617, 0.0555556, 0.0549828, 0.0531561, 0.0529801, 0.0704225, 0.0509554, 0.0507937, 0.0697674, 0.0506329, 0.0490798, 0.0490798, 0.0490798, 0.0490798, 0.0660793, 0.0473373, 0.0473373, 0.0473373, 0.0471976, 0.0627615, 0.0627615, 0.0470588, 0.0470588, 0.045584, 0.045584, 0.045584, 0.059761, 0.0454545, 0.0454545, 0.0454545, 0.0595238, 0.0595238, 0.0595238, 0.0595238, 0.0921053, 0.0440771, 0.0440771, 0.0440771, 0.0440771, 0.0570342, 0.0570342, 0.0570342, 0.043956, 0.0438356, 0.0566038, 0.0566038, 0.0848485, 0.0437158, 0.0425532, 0.0425532, 0.0425532, 0.0543478, 0.0543478, 0.0543478, 0.0795455, 0.0424403, 0.0424403, 0.0424403, 0.042328, 0.0786517, 0.0422164, 0.0537634, 0.0412371, 0.0520833, 0.0520833, 0.0520833, 0.0744681, 0.0411311, 0.0411311, 0.0411311, 0.0411311, 0.0519031, 0.0409207, 0.0408163, 0.0729167, 0.0407125, 0.0399002, 0.0399002, 0.0399002, 0.0399002, 0.0498339, 0.0498339, 0.0696517, 0.0696517, 0.0696517, 0.0696517, 0.0696517, 0.039801, 0.039801, 0.039801, 0.039801, 0.0496689, 0.0496689, 0.0693069, 0.0682927]"},{"name":"joint_entropy","value":"3.2423703760442844"},{"name":"pattern_team_auroc10","value":"0.9308909406565656"}]}}}