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Severity: Warning

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Backtrace:

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Function: fopen

File: /var/www/openml/openml_OS/core/MY_Database_Read_Model.php
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Function: sql

File: /var/www/openml/openml_OS/views/pages/frontend/t/pre.php
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Function: query

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File: /var/www/openml/index.php
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Function: require_once

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Severity: Warning

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Backtrace:

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Function: fopen

File: /var/www/openml/openml_OS/core/MY_Database_Read_Model.php
Line: 30
Function: sql

File: /var/www/openml/openml_OS/views/pages/frontend/t/pre.php
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Function: query

File: /var/www/openml/openml_OS/helpers/cms_helper.php
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Function: view

File: /var/www/openml/openml_OS/controllers/Frontend.php
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Function: loadpage

File: /var/www/openml/index.php
Line: 337
Function: require_once

OpenML
Task
Supervised Classification on audiology

Supervised Classification on audiology

Task 237 Supervised Classification audiology 293 runs submitted
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293 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.4875, kappa: 0.4669, kb_relative_information_score: 37.7423, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5045, predictive_accuracy: 0.5405, prior_entropy: 3.6349, recall: 0.5405, relative_absolute_error: 0.5602, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.827, scimark_benchmark: 882.7843, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7397, f_measure: 0.1993, kappa: 0.2014, kb_relative_information_score: 3.2087, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.1404, predictive_accuracy: 0.3514, prior_entropy: 3.6349, recall: 0.3514, relative_absolute_error: 1.055, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1963, root_relative_squared_error: 1.0196, scimark_benchmark: 1318.5526, usercpu_time_millis: 1360, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 1020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.6785, kappa: 0.6917, kb_relative_information_score: 5.9941, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.6566, predictive_accuracy: 0.7297, prior_entropy: 3.6349, recall: 0.7297, relative_absolute_error: 1.0456, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1945, root_relative_squared_error: 1.0103, scimark_benchmark: 1287.514, usercpu_time_millis: 1040, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.6949, kappa: 0.6935, kb_relative_information_score: 51.0391, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.6872, predictive_accuracy: 0.7297, prior_entropy: 3.6349, recall: 0.7297, relative_absolute_error: 0.2952, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1387, root_relative_squared_error: 0.7202, scimark_benchmark: 895.5332, usercpu_time_millis: 2000, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.7186, kappa: 0.7381, kb_relative_information_score: 51.6657, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.6963, predictive_accuracy: 0.7703, prior_entropy: 3.6349, recall: 0.7703, relative_absolute_error: 0.26, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.7186, scimark_benchmark: 1250.8301, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6282, f_measure: 0.2311, kappa: 0.2552, kb_relative_information_score: 17.2767, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.1691, predictive_accuracy: 0.3919, prior_entropy: 3.6349, recall: 0.3919, relative_absolute_error: 0.6883, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.2251, root_relative_squared_error: 1.1692, scimark_benchmark: 1368.9272, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.5642, kappa: 0.5666, kb_relative_information_score: 37.6148, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5418, predictive_accuracy: 0.6216, prior_entropy: 3.6349, recall: 0.6216, relative_absolute_error: 0.4396, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.8946, scimark_benchmark: 1327.8711, usercpu_time_millis: 14800, usercpu_time_millis_testing: 1010, usercpu_time_millis_training: 13790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.5991, kappa: 0.611, kb_relative_information_score: 40.4358, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5658, predictive_accuracy: 0.6622, prior_entropy: 3.6349, recall: 0.6622, relative_absolute_error: 0.5688, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1386, root_relative_squared_error: 0.7199, scimark_benchmark: 1346.9602, usercpu_time_millis: 190, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7768, f_measure: 0.5457, kappa: 0.5234, kb_relative_information_score: 35.7218, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.53, predictive_accuracy: 0.5811, prior_entropy: 3.6349, recall: 0.5811, relative_absolute_error: 0.4924, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.9531, scimark_benchmark: 1325.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8557, f_measure: 0.5645, kappa: 0.5803, kb_relative_information_score: 42.1225, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5192, predictive_accuracy: 0.6351, prior_entropy: 3.6349, recall: 0.6351, relative_absolute_error: 0.4834, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.8199, scimark_benchmark: 1335.4072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.6194, kappa: 0.6312, kb_relative_information_score: 45.4043, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5943, predictive_accuracy: 0.6757, prior_entropy: 3.6349, recall: 0.6757, relative_absolute_error: 0.4252, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1544, root_relative_squared_error: 0.8019, scimark_benchmark: 1327.6929, usercpu_time_millis: 680, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7676, f_measure: 0.5453, kappa: 0.5328, kb_relative_information_score: 36.805, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5161, predictive_accuracy: 0.5946, prior_entropy: 3.6349, recall: 0.5946, relative_absolute_error: 0.4589, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.9546, scimark_benchmark: 1315.395, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6206, f_measure: 0.2729, kappa: 0.2131, kb_relative_information_score: 12.7705, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.3996, predictive_accuracy: 0.2568, prior_entropy: 3.6349, recall: 0.2568, relative_absolute_error: 0.8412, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.2489, root_relative_squared_error: 1.2926, scimark_benchmark: 1368.9272, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.639, kappa: 0.6445, kb_relative_information_score: 48.7105, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.6151, predictive_accuracy: 0.6892, prior_entropy: 3.6349, recall: 0.6892, relative_absolute_error: 0.3602, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.7503, scimark_benchmark: 1466.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6224, f_measure: 0.2244, kappa: 0.2395, kb_relative_information_score: 15.9829, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.1659, predictive_accuracy: 0.3784, prior_entropy: 3.6349, recall: 0.3784, relative_absolute_error: 0.7036, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.2276, root_relative_squared_error: 1.1821, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8028, f_measure: 0.5907, kappa: 0.5975, kb_relative_information_score: 39.9822, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5848, predictive_accuracy: 0.6486, prior_entropy: 3.6349, recall: 0.6486, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.8887, scimark_benchmark: 1028.5889, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0769, kb_relative_information_score: 0.6771, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.0467, predictive_accuracy: 0.2162, prior_entropy: 3.6349, recall: 0.2162, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1932, root_relative_squared_error: 1.0036, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, f_measure: 0.6649, kappa: 0.6767, kb_relative_information_score: 48.5826, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.6398, predictive_accuracy: 0.7162, prior_entropy: 3.6349, recall: 0.7162, relative_absolute_error: 0.3725, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1435, root_relative_squared_error: 0.7455, scimark_benchmark: 1054.3694, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, build_cpu_time: 0.775, build_memory: 559714576, f_measure: 0.6785, kappa: 0.6917, kb_relative_information_score: 5.9941, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.6566, predictive_accuracy: 0.7297, prior_entropy: 3.6349, recall: 0.7297, relative_absolute_error: 1.0456, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1945, root_relative_squared_error: 1.0103, scimark_benchmark: 933.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, build_cpu_time: 0.71, build_memory: 434222680, f_measure: 0.6785, kappa: 0.6917, kb_relative_information_score: 5.9941, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.6566, predictive_accuracy: 0.7297, prior_entropy: 3.6349, recall: 0.7297, relative_absolute_error: 1.0456, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1945, root_relative_squared_error: 1.0103, scimark_benchmark: 918.9027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, build_cpu_time: 0.59, build_memory: 620136216, f_measure: 0.6785, kappa: 0.6917, kb_relative_information_score: 5.9941, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.6566, predictive_accuracy: 0.7297, prior_entropy: 3.6349, recall: 0.7297, relative_absolute_error: 1.0456, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1945, root_relative_squared_error: 1.0103, scimark_benchmark: 919.6575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, build_cpu_time: 0.615, build_memory: 904533544, f_measure: 0.6785, kappa: 0.6917, kb_relative_information_score: 5.9941, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.6566, predictive_accuracy: 0.7297, prior_entropy: 3.6349, recall: 0.7297, relative_absolute_error: 1.0456, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1945, root_relative_squared_error: 1.0103, scimark_benchmark: 874.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, build_cpu_time: 0.611, build_memory: 192326200, f_measure: 0.6785, kappa: 0.6917, kb_relative_information_score: 5.9941, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.6566, predictive_accuracy: 0.7297, prior_entropy: 3.6349, recall: 0.7297, relative_absolute_error: 1.0456, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1945, root_relative_squared_error: 1.0103, scimark_benchmark: 943.1873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, build_cpu_time: 0.038, build_memory: 66501392, f_measure: 0.6536, kappa: 0.6608, kb_relative_information_score: 44.1099, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.6311, predictive_accuracy: 0.7027, prior_entropy: 3.6349, recall: 0.7027, relative_absolute_error: 0.4773, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.7365, scimark_benchmark: 926.9332,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7302, build_cpu_time: 0.005, build_memory: 33273984, f_measure: 0.2244, kappa: 0.2395, kb_relative_information_score: 16.4022, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.1659, predictive_accuracy: 0.3784, prior_entropy: 3.6349, recall: 0.3784, relative_absolute_error: 0.8362, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.9441, scimark_benchmark: 920.7965,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8782, build_cpu_time: 10.928, build_memory: 1157158656, f_measure: 0.7076, kappa: 0.7223, kb_relative_information_score: 51.504, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.6821, predictive_accuracy: 0.7568, prior_entropy: 3.6349, recall: 0.7568, relative_absolute_error: 0.2753, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.142, root_relative_squared_error: 0.7375, scimark_benchmark: 931.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8779, build_cpu_time: 5.343, build_memory: 1585238792, f_measure: 0.7208, kappa: 0.7378, kb_relative_information_score: 52.111, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.6928, predictive_accuracy: 0.7703, prior_entropy: 3.6349, recall: 0.7703, relative_absolute_error: 0.2628, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.7049, scimark_benchmark: 937.4026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, build_cpu_time: 2.476, build_memory: 870239056, f_measure: 0.6915, kappa: 0.7059, kb_relative_information_score: 51.5518, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.6629, predictive_accuracy: 0.7432, prior_entropy: 3.6349, recall: 0.7432, relative_absolute_error: 0.2772, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.7103, scimark_benchmark: 939.4404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, build_cpu_time: 1.443, build_memory: 1391711296, f_measure: 0.6777, kappa: 0.6908, kb_relative_information_score: 48.4997, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.6493, predictive_accuracy: 0.7297, prior_entropy: 3.6349, recall: 0.7297, relative_absolute_error: 0.324, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.7408, scimark_benchmark: 945.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, build_cpu_time: 0.011, build_memory: 669847888, f_measure: 0.5876, kappa: 0.5813, kb_relative_information_score: 38.6093, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5814, predictive_accuracy: 0.6351, prior_entropy: 3.6349, recall: 0.6351, relative_absolute_error: 0.454, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.16, root_relative_squared_error: 0.8312, scimark_benchmark: 933.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, build_cpu_time: 0.724, build_memory: 19190200, f_measure: 0.5991, kappa: 0.611, kb_relative_information_score: 40.4358, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5658, predictive_accuracy: 0.6622, prior_entropy: 3.6349, recall: 0.6622, relative_absolute_error: 0.5688, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1386, root_relative_squared_error: 0.7199, scimark_benchmark: 946.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, build_cpu_time: 0.108, build_memory: 1874852400, f_measure: 0.5991, kappa: 0.611, kb_relative_information_score: 40.4358, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5658, predictive_accuracy: 0.6622, prior_entropy: 3.6349, recall: 0.6622, relative_absolute_error: 0.5688, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1386, root_relative_squared_error: 0.7199, scimark_benchmark: 915.0385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, build_cpu_time: 0.033, build_memory: 580233072, f_measure: 0.5576, kappa: 0.5776, kb_relative_information_score: 38.9601, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5158, predictive_accuracy: 0.6351, prior_entropy: 3.6349, recall: 0.6351, relative_absolute_error: 0.5121, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1575, root_relative_squared_error: 0.818, scimark_benchmark: 906.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8499, build_cpu_time: 0.001, build_memory: 331288096, f_measure: 0.6275, kappa: 0.626, kb_relative_information_score: 42.7907, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.6374, predictive_accuracy: 0.6757, prior_entropy: 3.6349, recall: 0.6757, relative_absolute_error: 0.4606, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.757, scimark_benchmark: 945.4085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7397, build_cpu_time: 0.533, build_memory: 218062024, f_measure: 0.1993, kappa: 0.2014, kb_relative_information_score: 3.2087, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.1404, predictive_accuracy: 0.3514, prior_entropy: 3.6349, recall: 0.3514, relative_absolute_error: 1.055, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1963, root_relative_squared_error: 1.0196, scimark_benchmark: 945.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, build_cpu_time: 0.792, build_memory: 1079550552, f_measure: 0.6785, kappa: 0.6917, kb_relative_information_score: 5.9941, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.6566, predictive_accuracy: 0.7297, prior_entropy: 3.6349, recall: 0.7297, relative_absolute_error: 1.0456, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1945, root_relative_squared_error: 1.0103, scimark_benchmark: 915.7861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, build_cpu_time: 9.442, build_memory: 837616664, f_measure: 0.689, kappa: 0.6669, kb_relative_information_score: 48.422, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.7153, predictive_accuracy: 0.7027, prior_entropy: 3.6349, recall: 0.7027, relative_absolute_error: 0.3229, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.7615, scimark_benchmark: 945.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, build_cpu_time: 0.046, build_memory: 532948632, f_measure: 0.5764, kappa: 0.5954, kb_relative_information_score: 42.3842, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5281, predictive_accuracy: 0.6486, prior_entropy: 3.6349, recall: 0.6486, relative_absolute_error: 0.529, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.7708, scimark_benchmark: 945.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, build_cpu_time: 0.063, build_memory: 1045899752, f_measure: 0.5764, kappa: 0.5954, kb_relative_information_score: 42.3842, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5281, predictive_accuracy: 0.6486, prior_entropy: 3.6349, recall: 0.6486, relative_absolute_error: 0.529, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.7708, scimark_benchmark: 943.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, build_cpu_time: 0.062, build_memory: 1361949496, f_measure: 0.5764, kappa: 0.5954, kb_relative_information_score: 42.3842, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5281, predictive_accuracy: 0.6486, prior_entropy: 3.6349, recall: 0.6486, relative_absolute_error: 0.529, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.7708, scimark_benchmark: 945.1122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, build_cpu_time: 0.049, build_memory: 909596040, f_measure: 0.5764, kappa: 0.5954, kb_relative_information_score: 42.3842, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5281, predictive_accuracy: 0.6486, prior_entropy: 3.6349, recall: 0.6486, relative_absolute_error: 0.529, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.7708, scimark_benchmark: 933.4176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6224, build_cpu_time: 0.001, build_memory: 709826360, f_measure: 0.2244, kappa: 0.2395, kb_relative_information_score: 15.9829, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.1659, predictive_accuracy: 0.3784, prior_entropy: 3.6349, recall: 0.3784, relative_absolute_error: 0.7036, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.2276, root_relative_squared_error: 1.1821, scimark_benchmark: 946.5615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, build_cpu_time: 3.925, build_memory: 1619536208, f_measure: 0.571, kappa: 0.5949, kb_relative_information_score: 4.9439, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5243, predictive_accuracy: 0.6486, prior_entropy: 3.6349, recall: 0.6486, relative_absolute_error: 1.0437, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1943, root_relative_squared_error: 1.0094, scimark_benchmark: 895.5844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, build_cpu_time: 9.852, build_memory: 574318592, f_measure: 0.5955, kappa: 0.6263, kb_relative_information_score: 4.987, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5465, predictive_accuracy: 0.6757, prior_entropy: 3.6349, recall: 0.6757, relative_absolute_error: 1.0434, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1943, root_relative_squared_error: 1.0091, scimark_benchmark: 938.2568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9238, build_cpu_time: 18.46, build_memory: 923298536, f_measure: 0.5926, kappa: 0.6263, kb_relative_information_score: 5.2372, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5424, predictive_accuracy: 0.6757, prior_entropy: 3.6349, recall: 0.6757, relative_absolute_error: 1.0434, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1942, root_relative_squared_error: 1.0088, scimark_benchmark: 928.8874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, build_cpu_time: 33.896, build_memory: 1015432120, f_measure: 0.5907, kappa: 0.6264, kb_relative_information_score: 5.2496, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5403, predictive_accuracy: 0.6757, prior_entropy: 3.6349, recall: 0.6757, relative_absolute_error: 1.0435, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1942, root_relative_squared_error: 1.0089, scimark_benchmark: 937.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, build_cpu_time: 57.672, build_memory: 1206435712, f_measure: 0.6171, kappa: 0.6425, kb_relative_information_score: 5.3288, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5897, predictive_accuracy: 0.6892, prior_entropy: 3.6349, recall: 0.6892, relative_absolute_error: 1.0434, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1942, root_relative_squared_error: 1.0087, scimark_benchmark: 944.9156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, build_cpu_time: 0.658, build_memory: 302741312, f_measure: 0.6089, kappa: 0.6258, kb_relative_information_score: 43.34, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5788, predictive_accuracy: 0.6757, prior_entropy: 3.6349, recall: 0.6757, relative_absolute_error: 0.5138, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.757, scimark_benchmark: 943.2048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, build_cpu_time: 0.18, build_memory: 1398972152, f_measure: 0.5848, kappa: 0.6095, kb_relative_information_score: 43.22, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5321, predictive_accuracy: 0.6622, prior_entropy: 3.6349, recall: 0.6622, relative_absolute_error: 0.5139, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.1462, root_relative_squared_error: 0.7593, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, build_cpu_time: 0.016, build_memory: 841701752, f_measure: 0.5869, kappa: 0.5817, kb_relative_information_score: 39.0196, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.0736, number_of_instances: 74, precision: 0.5842, predictive_accuracy: 0.6351, prior_entropy: 3.6349, recall: 0.6351, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.1925, root_mean_squared_error: 0.148, root_relative_squared_error: 0.7686, scimark_benchmark: 919.2952,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs