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Line: 30
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File: /var/www/openml/index.php
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Function: require_once

A PHP Error was encountered

Severity: Warning

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Filename: models/Log.php

Line Number: 37

Backtrace:

File: /var/www/openml/openml_OS/models/Log.php
Line: 37
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: loadpage

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

A PHP Error was encountered

Severity: Warning

Message: fopen(/data/log/sql.log): failed to open stream: Permission denied

Filename: models/Log.php

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Backtrace:

File: /var/www/openml/openml_OS/models/Log.php
Line: 37
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
Line: 117
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
Line: 85
Function: loadpage

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

OpenML
Task
Supervised Classification on cmc

Supervised Classification on cmc

Task 1787 Supervised Classification cmc 301 runs submitted
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301 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6034, f_measure: 0.439, kappa: 0.1266, kb_relative_information_score: 1354.5604, mean_absolute_error: 0.3852, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4378, predictive_accuracy: 0.4443, prior_entropy: 1.5392, recall: 0.4443, relative_absolute_error: 0.8941, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0769, scimark_benchmark: 882.7843, usercpu_time_millis: 210, usercpu_time_millis_testing: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5057, f_measure: 0.2556, kb_relative_information_score: 901.0359, mean_absolute_error: 0.3991, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.1823, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9264, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0791, scimark_benchmark: 876.0664, usercpu_time_millis: 2720, usercpu_time_millis_testing: 770, usercpu_time_millis_training: 1950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6274, f_measure: 0.4799, kappa: 0.1932, kb_relative_information_score: 1577.7858, mean_absolute_error: 0.379, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4794, predictive_accuracy: 0.4809, prior_entropy: 1.5392, recall: 0.4809, relative_absolute_error: 0.8797, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4782, root_relative_squared_error: 1.0305, scimark_benchmark: 1321.527, usercpu_time_millis: 540, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.68, f_measure: 0.4963, kappa: 0.2151, kb_relative_information_score: 1171.1694, mean_absolute_error: 0.3902, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4971, predictive_accuracy: 0.5028, prior_entropy: 1.5392, recall: 0.5028, relative_absolute_error: 0.9056, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4425, root_relative_squared_error: 0.9534, scimark_benchmark: 942.9708, usercpu_time_millis: 420, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5798, f_measure: 0.4481, kappa: 0.1552, kb_relative_information_score: 1549.1954, mean_absolute_error: 0.3698, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4614, predictive_accuracy: 0.4454, prior_entropy: 1.5392, recall: 0.4454, relative_absolute_error: 0.8583, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6081, root_relative_squared_error: 1.3102, scimark_benchmark: 916.9356, usercpu_time_millis: 540, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6628, f_measure: 0.4869, kappa: 0.2067, kb_relative_information_score: 1632.8254, mean_absolute_error: 0.3658, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4877, predictive_accuracy: 0.4862, prior_entropy: 1.5392, recall: 0.4862, relative_absolute_error: 0.849, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4698, root_relative_squared_error: 1.0123, scimark_benchmark: 1355.9413, usercpu_time_millis: 1050, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.684, f_measure: 0.508, kappa: 0.2368, kb_relative_information_score: 1714.3146, mean_absolute_error: 0.3622, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5066, predictive_accuracy: 0.5103, prior_entropy: 1.5392, recall: 0.5103, relative_absolute_error: 0.8408, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9796, scimark_benchmark: 1307.3269, usercpu_time_millis: 460, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5913, f_measure: 0.4654, kappa: 0.1742, kb_relative_information_score: 1718.602, mean_absolute_error: 0.3587, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4667, predictive_accuracy: 0.4644, prior_entropy: 1.5392, recall: 0.4644, relative_absolute_error: 0.8325, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5897, root_relative_squared_error: 1.2707, scimark_benchmark: 1073.494, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.671, f_measure: 0.4995, kappa: 0.2245, kb_relative_information_score: 1524.6256, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4979, predictive_accuracy: 0.5047, prior_entropy: 1.5392, recall: 0.5047, relative_absolute_error: 0.8603, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4549, root_relative_squared_error: 0.9802, scimark_benchmark: 1280.6952, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7058, f_measure: 0.5443, kappa: 0.2926, kb_relative_information_score: 1580.2626, mean_absolute_error: 0.3669, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5496, predictive_accuracy: 0.5454, prior_entropy: 1.5392, recall: 0.5454, relative_absolute_error: 0.8516, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.9361, scimark_benchmark: 1355.7054, usercpu_time_millis: 410, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5861, f_measure: 0.4657, kappa: 0.1716, kb_relative_information_score: 1742.505, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4645, predictive_accuracy: 0.4673, prior_entropy: 1.5392, recall: 0.4673, relative_absolute_error: 0.8242, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5959, root_relative_squared_error: 1.284, scimark_benchmark: 1435.4217, usercpu_time_millis: 560, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5283, f_measure: 0.3669, kappa: 0.0582, kb_relative_information_score: 1218.1234, mean_absolute_error: 0.3803, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.3949, predictive_accuracy: 0.4296, prior_entropy: 1.5392, recall: 0.4296, relative_absolute_error: 0.8826, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6167, root_relative_squared_error: 1.3287, scimark_benchmark: 1384.4418, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6453, f_measure: 0.4931, kappa: 0.2152, kb_relative_information_score: 1830.2707, mean_absolute_error: 0.3545, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4937, predictive_accuracy: 0.4929, prior_entropy: 1.5392, recall: 0.4929, relative_absolute_error: 0.8228, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4966, root_relative_squared_error: 1.0699, scimark_benchmark: 1384.4418, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.534, f_measure: 0.3927, kappa: 0.0672, kb_relative_information_score: 1169.6576, mean_absolute_error: 0.385, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.3969, predictive_accuracy: 0.4225, prior_entropy: 1.5392, recall: 0.4225, relative_absolute_error: 0.8936, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6205, root_relative_squared_error: 1.3369, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6157, f_measure: 0.5002, kappa: 0.2278, kb_relative_information_score: 2104.9421, mean_absolute_error: 0.3319, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4993, predictive_accuracy: 0.5021, prior_entropy: 1.5392, recall: 0.5021, relative_absolute_error: 0.7704, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5761, root_relative_squared_error: 1.2414, scimark_benchmark: 1028.5889, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.2556, kb_relative_information_score: 2.6856, mean_absolute_error: 0.4309, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.1823, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4641, root_relative_squared_error: 1, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6562, f_measure: 0.5107, kappa: 0.2419, kb_relative_information_score: 1760.0843, mean_absolute_error: 0.3597, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5094, predictive_accuracy: 0.5126, prior_entropy: 1.5392, recall: 0.5126, relative_absolute_error: 0.8348, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4792, root_relative_squared_error: 1.0325, scimark_benchmark: 1054.3694, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6159, build_cpu_time: 0.5205, build_memory: 399008587.1739, f_measure: 0.4809, kappa: 0.1946, kb_relative_information_score: 486.0011, mean_absolute_error: 0.4278, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4806, predictive_accuracy: 0.4819, prior_entropy: 1.5392, recall: 0.4819, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4698, root_relative_squared_error: 1.0122, scimark_benchmark: 932.2022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6159, build_cpu_time: 0.4397, build_memory: 815469981.4876, f_measure: 0.4809, kappa: 0.1946, kb_relative_information_score: 486.0011, mean_absolute_error: 0.4278, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4806, predictive_accuracy: 0.4819, prior_entropy: 1.5392, recall: 0.4819, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4698, root_relative_squared_error: 1.0122, scimark_benchmark: 942.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6159, build_cpu_time: 0.5536, build_memory: 1050822842.8644, f_measure: 0.4809, kappa: 0.1946, kb_relative_information_score: 486.0011, mean_absolute_error: 0.4278, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4806, predictive_accuracy: 0.4819, prior_entropy: 1.5392, recall: 0.4819, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4698, root_relative_squared_error: 1.0122, scimark_benchmark: 923.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6159, build_cpu_time: 0.537, build_memory: 798919220.1189, f_measure: 0.4809, kappa: 0.1946, kb_relative_information_score: 486.0011, mean_absolute_error: 0.4278, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4806, predictive_accuracy: 0.4819, prior_entropy: 1.5392, recall: 0.4819, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4698, root_relative_squared_error: 1.0122, scimark_benchmark: 932.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6159, build_cpu_time: 0.4274, build_memory: 734427467.8191, f_measure: 0.4809, kappa: 0.1946, kb_relative_information_score: 486.0011, mean_absolute_error: 0.4278, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4806, predictive_accuracy: 0.4819, prior_entropy: 1.5392, recall: 0.4819, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4698, root_relative_squared_error: 1.0122, scimark_benchmark: 943.1873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, build_cpu_time: 0.0475, build_memory: 888755196.9629, f_measure: 0.5137, kappa: 0.2437, kb_relative_information_score: 1235.3766, mean_absolute_error: 0.3884, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5138, predictive_accuracy: 0.5165, prior_entropy: 1.5392, recall: 0.5165, relative_absolute_error: 0.9016, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4403, root_relative_squared_error: 0.9487, scimark_benchmark: 918.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, build_cpu_time: 0.0365, build_memory: 762432227.2521, f_measure: 0.5123, kappa: 0.2415, kb_relative_information_score: 1277.4281, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5124, predictive_accuracy: 0.5153, prior_entropy: 1.5392, recall: 0.5153, relative_absolute_error: 0.896, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.9476, scimark_benchmark: 938.8409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, build_cpu_time: 0.042, build_memory: 61348377.4056, f_measure: 0.5123, kappa: 0.2415, kb_relative_information_score: 1277.4281, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5124, predictive_accuracy: 0.5153, prior_entropy: 1.5392, recall: 0.5153, relative_absolute_error: 0.896, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.9476, scimark_benchmark: 941.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, build_cpu_time: 0.0447, build_memory: 1739756494.3012, f_measure: 0.5123, kappa: 0.2415, kb_relative_information_score: 1277.4281, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5124, predictive_accuracy: 0.5153, prior_entropy: 1.5392, recall: 0.5153, relative_absolute_error: 0.896, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.9476, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, build_cpu_time: 0.0394, build_memory: 521534037.5332, f_measure: 0.5123, kappa: 0.2415, kb_relative_information_score: 1277.4281, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5124, predictive_accuracy: 0.5153, prior_entropy: 1.5392, recall: 0.5153, relative_absolute_error: 0.896, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.9476, scimark_benchmark: 882.4531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6457, build_cpu_time: 0.1786, build_memory: 1044824420.1743, f_measure: 0.4936, kappa: 0.2156, kb_relative_information_score: 2001.3384, mean_absolute_error: 0.3402, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4928, predictive_accuracy: 0.4946, prior_entropy: 1.5392, recall: 0.4946, relative_absolute_error: 0.7895, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5535, root_relative_squared_error: 1.1926, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6458, build_cpu_time: 0.1495, build_memory: 2667587005.9177, f_measure: 0.4931, kappa: 0.2148, kb_relative_information_score: 1999.4813, mean_absolute_error: 0.3403, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4923, predictive_accuracy: 0.4941, prior_entropy: 1.5392, recall: 0.4941, relative_absolute_error: 0.7898, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5531, root_relative_squared_error: 1.1918, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6458, build_cpu_time: 0.0765, build_memory: 2803983520.8896, f_measure: 0.493, kappa: 0.2147, kb_relative_information_score: 1997.5737, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4921, predictive_accuracy: 0.494, prior_entropy: 1.5392, recall: 0.494, relative_absolute_error: 0.7903, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5529, root_relative_squared_error: 1.1912, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6458, build_cpu_time: 0.0715, build_memory: 1721713686.2849, f_measure: 0.4932, kappa: 0.2152, kb_relative_information_score: 1997.4041, mean_absolute_error: 0.3407, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4925, predictive_accuracy: 0.494, prior_entropy: 1.5392, recall: 0.494, relative_absolute_error: 0.7908, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5525, root_relative_squared_error: 1.1904, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6454, build_cpu_time: 0.036, build_memory: 534316624.1771, f_measure: 0.4906, kappa: 0.2113, kb_relative_information_score: 1985.6992, mean_absolute_error: 0.3414, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.49, predictive_accuracy: 0.4914, prior_entropy: 1.5392, recall: 0.4914, relative_absolute_error: 0.7925, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5523, root_relative_squared_error: 1.19, scimark_benchmark: 939.084,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6818, build_cpu_time: 2.4673, build_memory: 1258186685.3084, f_measure: 0.5033, kappa: 0.2305, kb_relative_information_score: 1973.3131, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5014, predictive_accuracy: 0.506, prior_entropy: 1.5392, recall: 0.506, relative_absolute_error: 0.7966, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4897, root_relative_squared_error: 1.0552, scimark_benchmark: 945.7844,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5057, build_cpu_time: 0.4818, build_memory: 959493385.0026, f_measure: 0.2556, kb_relative_information_score: 901.0359, mean_absolute_error: 0.3991, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.1823, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9264, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0791, scimark_benchmark: 935.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6274, build_cpu_time: 0.1612, build_memory: 588871945.1449, f_measure: 0.4799, kappa: 0.1932, kb_relative_information_score: 1577.7858, mean_absolute_error: 0.379, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4794, predictive_accuracy: 0.4809, prior_entropy: 1.5392, recall: 0.4809, relative_absolute_error: 0.8797, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4782, root_relative_squared_error: 1.0305, scimark_benchmark: 940.4464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6896, build_cpu_time: 0.0793, build_memory: 65007884.7848, f_measure: 0.5062, kappa: 0.2309, kb_relative_information_score: 1387.3052, mean_absolute_error: 0.3796, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5067, predictive_accuracy: 0.5103, prior_entropy: 1.5392, recall: 0.5103, relative_absolute_error: 0.8811, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.9498, scimark_benchmark: 939.7798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6968, build_cpu_time: 0.0595, build_memory: 972289095.572, f_measure: 0.5146, kappa: 0.245, kb_relative_information_score: 1620.0306, mean_absolute_error: 0.3666, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5142, predictive_accuracy: 0.518, prior_entropy: 1.5392, recall: 0.518, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4403, root_relative_squared_error: 0.9486, scimark_benchmark: 943.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6968, build_cpu_time: 0.0485, build_memory: 913527340.775, f_measure: 0.5146, kappa: 0.245, kb_relative_information_score: 1620.0306, mean_absolute_error: 0.3666, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5142, predictive_accuracy: 0.518, prior_entropy: 1.5392, recall: 0.518, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4403, root_relative_squared_error: 0.9486, scimark_benchmark: 930.1524,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, build_cpu_time: 0.0001, build_memory: 1062747273.5218, f_measure: 0.2556, kb_relative_information_score: 2.6856, mean_absolute_error: 0.4309, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.1823, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4641, root_relative_squared_error: 1, scimark_benchmark: 947.7747,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6581, build_cpu_time: 1.4342, build_memory: 380759872.5518, f_measure: 0.4847, kappa: 0.1999, kb_relative_information_score: 1462.2792, mean_absolute_error: 0.3826, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4833, predictive_accuracy: 0.487, prior_entropy: 1.5392, recall: 0.487, relative_absolute_error: 0.8881, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.459, root_relative_squared_error: 0.989, scimark_benchmark: 939.7809,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6645, build_cpu_time: 12.2196, build_memory: 206745503.8827, f_measure: 0.4905, kappa: 0.2088, kb_relative_information_score: 1473.8836, mean_absolute_error: 0.3822, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4899, predictive_accuracy: 0.4918, prior_entropy: 1.5392, recall: 0.4918, relative_absolute_error: 0.8871, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4566, root_relative_squared_error: 0.9838, scimark_benchmark: 935.7354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6662, build_cpu_time: 21.2716, build_memory: 251807085.6429, f_measure: 0.4931, kappa: 0.2131, kb_relative_information_score: 1479.3755, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.4932, predictive_accuracy: 0.4937, prior_entropy: 1.5392, recall: 0.4937, relative_absolute_error: 0.8866, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9829, scimark_benchmark: 946.5993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.712, build_cpu_time: 0.2663, build_memory: 862084150.9518, f_measure: 0.5282, kappa: 0.2661, kb_relative_information_score: 1611.577, mean_absolute_error: 0.3673, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.528, predictive_accuracy: 0.5322, prior_entropy: 1.5392, recall: 0.5322, relative_absolute_error: 0.8525, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4333, root_relative_squared_error: 0.9336, scimark_benchmark: 938.8806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7082, build_cpu_time: 0.1695, build_memory: 1760744280.3661, f_measure: 0.5284, kappa: 0.2663, kb_relative_information_score: 1604.1811, mean_absolute_error: 0.3674, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5284, predictive_accuracy: 0.532, prior_entropy: 1.5392, recall: 0.532, relative_absolute_error: 0.8528, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.9366, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6691, build_cpu_time: 0.0309, build_memory: 2306553918.9323, f_measure: 0.5028, kappa: 0.2292, kb_relative_information_score: 1737.0755, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5011, predictive_accuracy: 0.5056, prior_entropy: 1.5392, recall: 0.5056, relative_absolute_error: 0.8384, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4679, root_relative_squared_error: 1.0082, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6691, build_cpu_time: 0.0323, build_memory: 165095788.0125, f_measure: 0.5028, kappa: 0.2292, kb_relative_information_score: 1737.0755, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5011, predictive_accuracy: 0.5056, prior_entropy: 1.5392, recall: 0.5056, relative_absolute_error: 0.8384, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4679, root_relative_squared_error: 1.0082, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6787, build_cpu_time: 0.0958, build_memory: 335715697.5815, f_measure: 0.507, kappa: 0.2355, kb_relative_information_score: 1706.7322, mean_absolute_error: 0.3629, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5055, predictive_accuracy: 0.5093, prior_entropy: 1.5392, recall: 0.5093, relative_absolute_error: 0.8423, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4576, root_relative_squared_error: 0.986, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6834, build_cpu_time: 0.1728, build_memory: 1264020831.2755, f_measure: 0.5058, kappa: 0.2336, kb_relative_information_score: 1713.5877, mean_absolute_error: 0.3623, mean_prior_absolute_error: 0.4308, number_of_instances: 7365, precision: 0.5047, predictive_accuracy: 0.5074, prior_entropy: 1.5392, recall: 0.5074, relative_absolute_error: 0.8409, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4549, root_relative_squared_error: 0.9803, scimark_benchmark: 931.0999,

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

OpenML bootcamp

From your own software

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

OpenML APIs