{"run":{"run_id":"766441","uploader":"1","uploader_name":"Jan van Rijn","task_id":"53887","task_type":"Subgroup Discovery","flow_id":"4221","flow_name":"SubgroupDiscovery(1)","setup_id":"7778","error":[],"setup_string":"{\"overall_ranking_loss\":\"0.0\",\"post_processing_count\":\"20\",\"search_depth\":\"1\",\"maximum_time\":\"1.0\",\"search_strategy_width\":\"64\",\"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\":\"8\",\"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":"64","component":"4221"},{"name":"numeric_operators","value":"≤, ≥, =<\/html>","component":"4221"},{"name":"numeric_strategy","value":"best-bins","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":"300","name":"isolet","url":"https:\/\/www.openml.org\/data\/download\/52405\/phpB0xrNj"}},"output_data":{"file":[{"did":"-1","file_id":"2407397","name":"description","url":"https:\/\/www.openml.org\/data\/download\/2407397\/run734216490912460528.xml"},{"did":"-1","file_id":"2407398","name":"subgroups","url":"https:\/\/www.openml.org\/data\/download\/2407398\/subgroups8578041592658583049.csv"}],"evaluation":[{"name":"cortana_quality","value":"0.8995638","array_data":"[0.8995638, 0.8954301, 0.8680966, 0.8640963, 0.8614299, 0.8302294, 0.8198293, 0.8120955, 0.7990289, 0.7920955, 0.784095, 0.7799119, 0.7764453, 0.7729785, 0.7659117, 0.762445, 0.7589782, 0.7521782, 0.7470282, 0.741778, 0.738178, 0.7380446, 0.703244, 0.693244, 0.6928438, 0.6861771, 0.6828438, 0.6655102, 0.6515099, 0.6499934, 0.6465266, 0.6359931, 0.6305763, 0.6237762, 0.6187928, 0.6031092, 0.6025757, 0.5996425, 0.5979925, 0.594259, 0.5927091, 0.589109, 0.5868414, 0.5787088, 0.5785754, 0.5737255, 0.5666587, 0.5633253, 0.563192, 0.563192, 0.5563919, 0.5562585, 0.5494584, 0.5423916, 0.5423916, 0.5286582, 0.5249246, 0.5199413, 0.5147913, 0.5146579, 0.5127411, 0.5113245, 0.5077244, 0.5026077, 0.5026077, 0.4835908, 0.4834574, 0.4799907, 0.4765239, 0.4762572, 0.4731906, 0.4697239, 0.46839, 0.4662572, 0.4610071, 0.4608737, 0.4593237, 0.4591903, 0.4589236, 0.4580392, 0.4575404, 0.4539402, 0.4518567, 0.4471402, 0.4400734, 0.43839, 0.43674, 0.4350567, 0.4349233, 0.4332733, 0.4298066, 0.4262065, 0.4251394, 0.4227398, 0.4223836, 0.4212725, 0.4159397, 0.4159397, 0.4159397, 0.4156729]"},{"name":"coverage","value":"975","array_data":"[975, 980, 977, 981, 975, 975, 975, 981, 975, 975, 983, 1950, 1950, 1950, 1951, 1951, 1951, 1950, 975, 1950, 1951, 1952, 1953, 1950, 1953, 1951, 1950, 1950, 1951, 2924, 2924, 2925, 1952, 1951, 2924, 1950, 1954, 1950, 2924, 2926, 1950, 1951, 1968, 1951, 1952, 2924, 2925, 2924, 2925, 2925, 2924, 2925, 2924, 2925, 2925, 2924, 2926, 3899, 2924, 2925, 3901, 2924, 2925, 3899, 3899, 2924, 2925, 2925, 2925, 2927, 2924, 2924, 2934, 2924, 3899, 3900, 2924, 2925, 2927, 1972, 3899, 3900, 2928, 3899, 3900, 2925, 3899, 2924, 2925, 3899, 3899, 3900, 3908, 3900, 3045, 3911, 3899, 3899, 3899, 3901]"},{"name":"positives","value":"297","array_data":"[297, 296, 288, 287, 286, 277, 274, 272, 268, 266, 264, 300, 299, 298, 296, 295, 294, 292, 253, 289, 288, 288, 278, 275, 275, 273, 272, 267, 263, 300, 299, 296, 257, 255, 291, 249, 249, 248, 285, 284, 246, 245, 245, 242, 242, 278, 276, 275, 275, 275, 273, 273, 271, 269, 269, 265, 264, 300, 261, 261, 298, 260, 259, 295, 295, 252, 252, 251, 250, 250, 249, 248, 248, 247, 283, 283, 245, 245, 245, 208, 282, 281, 243, 279, 277, 239, 276, 238, 238, 275, 274, 273, 273, 272, 239, 272, 270, 270, 270, 270]"},{"name":"probability","value":"0.3046154","array_data":"[0.3046154, 0.3020408, 0.2947799, 0.2925586, 0.2933333, 0.2841026, 0.2810256, 0.2772681, 0.2748718, 0.2728205, 0.2685656, 0.1538462, 0.1533333, 0.1528205, 0.1517171, 0.1512045, 0.150692, 0.1497436, 0.2594872, 0.1482051, 0.1476166, 0.147541, 0.1423451, 0.1410256, 0.140809, 0.1399282, 0.1394872, 0.1369231, 0.1348027, 0.1025992, 0.1022572, 0.1011966, 0.1316598, 0.1307022, 0.0995212, 0.1276923, 0.1274309, 0.1271795, 0.0974692, 0.0970608, 0.1261538, 0.1255766, 0.1244919, 0.124039, 0.1239754, 0.0950752, 0.094359, 0.0940492, 0.0940171, 0.0940171, 0.0933653, 0.0933333, 0.0926813, 0.0919658, 0.0919658, 0.0906293, 0.0902256, 0.0769428, 0.0892613, 0.0892308, 0.0763907, 0.0889193, 0.088547, 0.0756604, 0.0756604, 0.0861833, 0.0861538, 0.085812, 0.0854701, 0.0854117, 0.0851573, 0.0848153, 0.0845262, 0.0844733, 0.0725827, 0.0725641, 0.0837893, 0.0837607, 0.0837035, 0.1054767, 0.0723262, 0.0720513, 0.0829918, 0.0715568, 0.0710256, 0.0817094, 0.0707874, 0.0813953, 0.0813675, 0.0705309, 0.0702744, 0.07, 0.0698567, 0.0697436, 0.0784893, 0.0695474, 0.0692485, 0.0692485, 0.0692485, 0.069213]"},{"name":"joint_entropy","value":"8.505592027223296"},{"name":"pattern_team_auroc10","value":"0.8011491263171935"}]}}}