{"run":{"run_id":"1116322","uploader":"1","uploader_name":"Jan van Rijn","task_id":"55135","task_type":"Subgroup Discovery","flow_id":"4221","flow_name":"SubgroupDiscovery(1)","setup_id":"8161","error":[],"setup_string":"{\"overall_ranking_loss\":\"0.0\",\"post_processing_count\":\"20\",\"search_depth\":\"2\",\"maximum_time\":\"1.0\",\"search_strategy_width\":\"256\",\"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":"256","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":"1491","name":"one-hundred-plants-margin","url":"https:\/\/www.openml.org\/data\/download\/1592283\/phpCsX3fx"}},"output_data":{"file":[{"did":"-1","file_id":"3107268","name":"description","url":"https:\/\/www.openml.org\/data\/download\/3107268\/run8232057819343621523.xml"},{"did":"-1","file_id":"3107269","name":"subgroups","url":"https:\/\/www.openml.org\/data\/download\/3107269\/subgroups8059371145874510325.csv"}],"evaluation":[{"name":"cortana_quality","value":"0.9728535","array_data":"[0.9728535, 0.9652778, 0.959596, 0.9583333, 0.9406565, 0.9387626, 0.9387626, 0.9375, 0.9356061, 0.925505, 0.9141414, 0.9141414, 0.9090909, 0.9034091, 0.8996212, 0.8989899, 0.8989899, 0.8977273, 0.8939394, 0.8933081, 0.8907828, 0.8895202, 0.8888889, 0.8863636, 0.8857324, 0.8838384, 0.8838384, 0.8838384, 0.8813131, 0.8794192, 0.8794192, 0.8794192, 0.8775253, 0.8756313, 0.8737374, 0.8724747, 0.8699495, 0.8686869, 0.8686869, 0.8686869, 0.8686869, 0.8680556, 0.8680556, 0.8674242, 0.8667929, 0.8667929, 0.8667929, 0.8667929, 0.8667929, 0.8655303, 0.864899, 0.863005, 0.8623737, 0.8611111, 0.8611111, 0.8611111, 0.8611111, 0.8611111, 0.8598485, 0.8598485, 0.8592172, 0.8592172, 0.8592172, 0.8592172, 0.8585858, 0.8579546, 0.8579546, 0.8579546, 0.8573232, 0.8573232, 0.8566919, 0.8566919, 0.8566919, 0.8566919, 0.8566919, 0.8560606, 0.8560606, 0.8560606, 0.8560606, 0.8560606, 0.8560606, 0.8554293, 0.854798, 0.854798, 0.8541667, 0.8541667, 0.8541667, 0.852904, 0.852904, 0.8522727, 0.8516414, 0.8510101, 0.8510101, 0.8510101, 0.8503788, 0.8503788, 0.8503788, 0.8491161, 0.8491161, 0.8484849]"},{"name":"coverage","value":"59","array_data":"[59, 71, 80, 82, 110, 113, 113, 115, 118, 134, 52, 52, 160, 169, 75, 176, 176, 178, 184, 185, 189, 191, 192, 196, 197, 200, 100, 100, 204, 207, 207, 207, 210, 213, 216, 218, 222, 224, 224, 224, 224, 125, 125, 226, 227, 227, 227, 127, 127, 229, 230, 233, 234, 236, 236, 136, 136, 36, 238, 38, 239, 239, 239, 39, 240, 241, 241, 241, 242, 42, 243, 243, 243, 243, 143, 244, 244, 244, 244, 244, 144, 245, 246, 146, 247, 247, 47, 249, 149, 250, 251, 252, 252, 152, 253, 253, 253, 255, 155, 256]"},{"name":"positives","value":"16","array_data":"[16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 15, 15, 16, 16, 15, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 15, 15, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 15, 15, 16, 16, 16, 16, 15, 15, 16, 16, 16, 16, 16, 16, 15, 15, 14, 16, 14, 16, 16, 16, 14, 16, 16, 16, 16, 16, 14, 16, 16, 16, 16, 15, 16, 16, 16, 16, 16, 15, 16, 16, 15, 16, 16, 14, 16, 15, 16, 16, 16, 16, 15, 16, 16, 16, 16, 15, 16]"},{"name":"probability","value":"0.2711864","array_data":"[0.2711864, 0.2253521, 0.2, 0.195122, 0.1454545, 0.1415929, 0.1415929, 0.1391304, 0.1355932, 0.119403, 0.2884615, 0.2884615, 0.1, 0.0946746, 0.2, 0.0909091, 0.0909091, 0.0898876, 0.0869565, 0.0864865, 0.0846561, 0.0837696, 0.0833333, 0.0816327, 0.0812183, 0.08, 0.15, 0.15, 0.0784314, 0.0772947, 0.0772947, 0.0772947, 0.0761905, 0.0751174, 0.0740741, 0.0733945, 0.0720721, 0.0714286, 0.0714286, 0.0714286, 0.0714286, 0.12, 0.12, 0.0707965, 0.0704846, 0.0704846, 0.0704846, 0.1181102, 0.1181102, 0.069869, 0.0695652, 0.0686695, 0.0683761, 0.0677966, 0.0677966, 0.1102941, 0.1102941, 0.3888889, 0.0672269, 0.3684211, 0.0669456, 0.0669456, 0.0669456, 0.3589744, 0.0666667, 0.06639, 0.06639, 0.06639, 0.0661157, 0.3333333, 0.0658436, 0.0658436, 0.0658436, 0.0658436, 0.1048951, 0.0655738, 0.0655738, 0.0655738, 0.0655738, 0.0655738, 0.1041667, 0.0653061, 0.0650407, 0.1027397, 0.0647773, 0.0647773, 0.2978723, 0.064257, 0.1006711, 0.064, 0.063745, 0.0634921, 0.0634921, 0.0986842, 0.0632411, 0.0632411, 0.0632411, 0.0627451, 0.0967742, 0.0625]"},{"name":"joint_entropy","value":"4.673300545122271"},{"name":"pattern_team_auroc10","value":"0.9343434343434344"}]}}}