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A PHP Error was encountered

Severity: Warning

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

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

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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
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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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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
OpenML
Supervised Classification on kc2

Supervised Classification on kc2

Task 3913 Supervised Classification kc2 174023 runs submitted
0 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_98 study_99 under100k under1m
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174023 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, build_cpu_time: 0.2158, build_memory: 878168760.9655, f_measure: 0.8181, kappa: 0.4139, kb_relative_information_score: 154.7712, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8148, predictive_accuracy: 0.8295, prior_entropy: 0.734, recall: 0.8295, relative_absolute_error: 0.6262, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.358, root_relative_squared_error: 0.8869, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7884, build_cpu_time: 0.1723, build_memory: 1098513761.3027, f_measure: 0.8159, kappa: 0.4146, kb_relative_information_score: 156.1911, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8119, predictive_accuracy: 0.8238, prior_entropy: 0.734, recall: 0.8238, relative_absolute_error: 0.6264, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3565, root_relative_squared_error: 0.883, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7305, build_cpu_time: 0.1072, build_memory: 245558921.7165, f_measure: 0.8111, kappa: 0.4115, kb_relative_information_score: 153.1888, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8086, predictive_accuracy: 0.8142, prior_entropy: 0.734, recall: 0.8142, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.9947, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7305, build_cpu_time: 0.1116, build_memory: 1877536960.3065, f_measure: 0.8111, kappa: 0.4115, kb_relative_information_score: 152.8967, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8086, predictive_accuracy: 0.8142, prior_entropy: 0.734, recall: 0.8142, relative_absolute_error: 0.62, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.9956, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7305, build_cpu_time: 0.1701, build_memory: 1464046574.4828, f_measure: 0.8111, kappa: 0.4115, kb_relative_information_score: 152.8967, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8086, predictive_accuracy: 0.8142, prior_entropy: 0.734, recall: 0.8142, relative_absolute_error: 0.62, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.9956, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7305, build_cpu_time: 0.1046, build_memory: 1138606535.3717, f_measure: 0.8111, kappa: 0.4115, kb_relative_information_score: 152.8967, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8086, predictive_accuracy: 0.8142, prior_entropy: 0.734, recall: 0.8142, relative_absolute_error: 0.62, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.9956, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7305, build_cpu_time: 0.1, build_memory: 202614183.4176, f_measure: 0.8111, kappa: 0.4115, kb_relative_information_score: 152.8967, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8086, predictive_accuracy: 0.8142, prior_entropy: 0.734, recall: 0.8142, relative_absolute_error: 0.62, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.9956, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6445, build_cpu_time: 10.8371, build_memory: 375631657.977, f_measure: 0.8102, kappa: 0.4117, kb_relative_information_score: 152.0571, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8084, predictive_accuracy: 0.8123, prior_entropy: 0.734, recall: 0.8123, relative_absolute_error: 0.6211, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4356, root_relative_squared_error: 1.0792, scimark_benchmark: 919.8064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6343, build_cpu_time: 2.7187, build_memory: 88104105.2261, f_measure: 0.8102, kappa: 0.4117, kb_relative_information_score: 152.2168, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8084, predictive_accuracy: 0.8123, prior_entropy: 0.734, recall: 0.8123, relative_absolute_error: 0.6209, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4356, root_relative_squared_error: 1.0791, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7871, build_cpu_time: 0.3257, build_memory: 24447300.7356, f_measure: 0.8215, kappa: 0.4315, kb_relative_information_score: 155.8805, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8178, predictive_accuracy: 0.8295, prior_entropy: 0.734, recall: 0.8295, relative_absolute_error: 0.6327, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3479, root_relative_squared_error: 0.8617, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7364, build_cpu_time: 1.8896, build_memory: 800547384.2452, f_measure: 0.8143, kappa: 0.4195, kb_relative_information_score: 153.1016, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8114, predictive_accuracy: 0.818, prior_entropy: 0.734, recall: 0.818, relative_absolute_error: 0.6125, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4051, root_relative_squared_error: 1.0035, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7353, build_cpu_time: 1.6556, build_memory: 1158925494.6054, f_measure: 0.8143, kappa: 0.4195, kb_relative_information_score: 151.7892, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8114, predictive_accuracy: 0.818, prior_entropy: 0.734, recall: 0.818, relative_absolute_error: 0.6144, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4054, root_relative_squared_error: 1.0043, scimark_benchmark: 939.7798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7314, build_cpu_time: 1.0317, build_memory: 1547115761.7471, f_measure: 0.8017, kappa: 0.3783, kb_relative_information_score: 146.8041, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7982, predictive_accuracy: 0.8065, prior_entropy: 0.734, recall: 0.8065, relative_absolute_error: 0.6233, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4091, root_relative_squared_error: 1.0134, scimark_benchmark: 943.1304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7342, build_cpu_time: 0.5376, build_memory: 1109559177.931, f_measure: 0.7963, kappa: 0.3675, kb_relative_information_score: 140.8384, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7941, predictive_accuracy: 0.7989, prior_entropy: 0.734, recall: 0.7989, relative_absolute_error: 0.6354, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4103, root_relative_squared_error: 1.0163, scimark_benchmark: 930.7694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2722, build_cpu_time: 0.0255, build_memory: 255517602.6973, f_measure: 0.401, kappa: -0.2898, kb_relative_information_score: -707.0849, mean_absolute_error: 0.6609, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.5216, predictive_accuracy: 0.3391, prior_entropy: 0.734, recall: 0.3391, relative_absolute_error: 2.0237, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.813, root_relative_squared_error: 2.0139, scimark_benchmark: 905.4188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7452, build_cpu_time: 0.4932, build_memory: 1055677367.1111, f_measure: 0.7891, kappa: 0.3366, kb_relative_information_score: 139.5672, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7847, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.6439, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.9705, scimark_benchmark: 944.3832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8263, build_cpu_time: 0.0175, build_memory: 985162374.1916, f_measure: 0.8151, kappa: 0.4102, kb_relative_information_score: 178.4904, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.811, predictive_accuracy: 0.8238, prior_entropy: 0.734, recall: 0.8238, relative_absolute_error: 0.5833, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3494, root_relative_squared_error: 0.8656, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, build_cpu_time: 0.0043, build_memory: 586316700.2299, f_measure: 0.8159, kappa: 0.4191, kb_relative_information_score: 167.8545, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8122, predictive_accuracy: 0.8218, prior_entropy: 0.734, recall: 0.8218, relative_absolute_error: 0.6, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.8834, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, build_cpu_time: 0.2257, build_memory: 1014350385.4713, f_measure: 0.8239, kappa: 0.4358, kb_relative_information_score: 126.6814, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8206, predictive_accuracy: 0.8333, prior_entropy: 0.734, recall: 0.8333, relative_absolute_error: 0.6755, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.8625, scimark_benchmark: 942.4411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7005, build_cpu_time: 0.0263, build_memory: 678851188.3218, f_measure: 0.8183, kappa: 0.4231, kb_relative_information_score: 126.4292, mean_absolute_error: 0.2405, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8145, predictive_accuracy: 0.8257, prior_entropy: 0.734, recall: 0.8257, relative_absolute_error: 0.7363, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.8981, scimark_benchmark: 938.6628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6552, build_cpu_time: 0.0004, build_memory: 262751838.8046, f_measure: 0.8102, kappa: 0.4117, kb_relative_information_score: 151.1505, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8084, predictive_accuracy: 0.8123, prior_entropy: 0.734, recall: 0.8123, relative_absolute_error: 0.6236, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4348, root_relative_squared_error: 1.0771, scimark_benchmark: 936.8525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5047, build_cpu_time: 0.0773, build_memory: 286312386.2989, f_measure: 0.7088, kappa: 0.0148, kb_relative_information_score: 143.2888, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8382, predictive_accuracy: 0.7969, prior_entropy: 0.734, recall: 0.7969, relative_absolute_error: 0.6218, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4506, root_relative_squared_error: 1.1163, scimark_benchmark: 906.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5921, build_cpu_time: 0.0081, build_memory: 465679581.8084, f_measure: 0.7803, kappa: 0.2562, kb_relative_information_score: 196.6595, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8227, predictive_accuracy: 0.8257, prior_entropy: 0.734, recall: 0.8257, relative_absolute_error: 0.5338, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4175, root_relative_squared_error: 1.0343, scimark_benchmark: 931.9838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6479, build_cpu_time: 0.0432, build_memory: 533352467.0345, f_measure: 0.8116, kappa: 0.3719, kb_relative_information_score: 218.0078, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8237, predictive_accuracy: 0.8372, prior_entropy: 0.734, recall: 0.8372, relative_absolute_error: 0.4986, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4035, root_relative_squared_error: 0.9996, scimark_benchmark: 935.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8052, build_cpu_time: 0.0361, build_memory: 85413861.5019, f_measure: 0.8029, kappa: 0.3594, kb_relative_information_score: 131.8957, mean_absolute_error: 0.2277, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.799, predictive_accuracy: 0.818, prior_entropy: 0.734, recall: 0.818, relative_absolute_error: 0.6971, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3586, root_relative_squared_error: 0.8883, scimark_benchmark: 948.6597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7181, build_cpu_time: 0.0104, build_memory: 21921102.4215, f_measure: 0.8191, kappa: 0.4083, kb_relative_information_score: 217.5181, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8193, predictive_accuracy: 0.8352, prior_entropy: 0.734, recall: 0.8352, relative_absolute_error: 0.4994, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.99, scimark_benchmark: 945.4085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7181, build_cpu_time: 0.0024, build_memory: 451997736.0613, f_measure: 0.8191, kappa: 0.4083, kb_relative_information_score: 217.5181, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8193, predictive_accuracy: 0.8352, prior_entropy: 0.734, recall: 0.8352, relative_absolute_error: 0.4994, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.99, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8169, build_cpu_time: 0.0335, build_memory: 1279761391.249, f_measure: 0.8122, kappa: 0.3912, kb_relative_information_score: 137.0289, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.809, predictive_accuracy: 0.8257, prior_entropy: 0.734, recall: 0.8257, relative_absolute_error: 0.6715, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3423, root_relative_squared_error: 0.848, scimark_benchmark: 945.1122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7154, build_cpu_time: 0.0161, build_memory: 209027775.1111, f_measure: 0.8096, kappa: 0.3982, kb_relative_information_score: 128.5027, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8055, predictive_accuracy: 0.8161, prior_entropy: 0.734, recall: 0.8161, relative_absolute_error: 0.7073, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3884, root_relative_squared_error: 0.9621, scimark_benchmark: 922.5645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7154, build_cpu_time: 0.0168, build_memory: 791725401.3793, f_measure: 0.8096, kappa: 0.3982, kb_relative_information_score: 128.5027, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8055, predictive_accuracy: 0.8161, prior_entropy: 0.734, recall: 0.8161, relative_absolute_error: 0.7073, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3884, root_relative_squared_error: 0.9621, scimark_benchmark: 922.2602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, build_cpu_time: 0.0001, build_memory: 233041090.2069, f_measure: 0.7042, kb_relative_information_score: -1.1394, mean_absolute_error: 0.3267, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6321, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001, scimark_benchmark: 946.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, build_cpu_time: 0.0001, build_memory: 341120712.4138, f_measure: 0.7042, kb_relative_information_score: -1.1394, mean_absolute_error: 0.3267, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6321, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001, scimark_benchmark: 940.3415,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, build_cpu_time: 0.2639, build_memory: 994854536.3525, f_measure: 0.8179, kappa: 0.409, kb_relative_information_score: 211.6532, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8156, predictive_accuracy: 0.8314, prior_entropy: 0.734, recall: 0.8314, relative_absolute_error: 0.5062, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.386, root_relative_squared_error: 0.9562, scimark_benchmark: 947.3846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8152, build_cpu_time: 0.1214, build_memory: 188261826.2529, f_measure: 0.807, kappa: 0.3729, kb_relative_information_score: 140.0168, mean_absolute_error: 0.2238, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8037, predictive_accuracy: 0.8218, prior_entropy: 0.734, recall: 0.8218, relative_absolute_error: 0.6852, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.8796, scimark_benchmark: 933.3942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8152, build_cpu_time: 0.1485, build_memory: 193847655.6322, f_measure: 0.807, kappa: 0.3729, kb_relative_information_score: 140.0168, mean_absolute_error: 0.2238, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8037, predictive_accuracy: 0.8218, prior_entropy: 0.734, recall: 0.8218, relative_absolute_error: 0.6852, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.8796, scimark_benchmark: 938.6306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, build_cpu_time: 150.4084, build_memory: 1547956057.272, f_measure: 0.8259, kappa: 0.4313, kb_relative_information_score: 146.2667, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8267, predictive_accuracy: 0.841, prior_entropy: 0.734, recall: 0.841, relative_absolute_error: 0.6684, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3419, root_relative_squared_error: 0.8469, scimark_benchmark: 911.5913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, build_cpu_time: 343.1528, build_memory: 1916997272.0613, f_measure: 0.8291, kappa: 0.4405, kb_relative_information_score: 143.7281, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8315, predictive_accuracy: 0.8448, prior_entropy: 0.734, recall: 0.8448, relative_absolute_error: 0.6733, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.8478, scimark_benchmark: 941.5509,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8169, build_cpu_time: 0.0101, build_memory: 744212300.9195, f_measure: 0.8338, kappa: 0.4806, kb_relative_information_score: 113.8862, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8314, predictive_accuracy: 0.8372, prior_entropy: 0.734, recall: 0.8372, relative_absolute_error: 0.7283, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3424, root_relative_squared_error: 0.8482, scimark_benchmark: 1306.6944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7916, build_cpu_time: 0.781, build_memory: 2107406339.4176, f_measure: 0.8213, kappa: 0.4126, kb_relative_information_score: 178.8283, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8241, predictive_accuracy: 0.8391, prior_entropy: 0.734, recall: 0.8391, relative_absolute_error: 0.5853, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.9013, scimark_benchmark: 942.9616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8146, build_cpu_time: 0.003, build_memory: 1346222630.9885, f_measure: 0.8285, kappa: 0.4606, kb_relative_information_score: 118.5731, mean_absolute_error: 0.2357, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8255, predictive_accuracy: 0.8333, prior_entropy: 0.734, recall: 0.8333, relative_absolute_error: 0.7217, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.849, scimark_benchmark: 821.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8089, build_cpu_time: 0.5972, build_memory: 1953848805.7471, f_measure: 0.8143, kappa: 0.3891, kb_relative_information_score: 216.1091, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8164, predictive_accuracy: 0.8333, prior_entropy: 0.734, recall: 0.8333, relative_absolute_error: 0.5037, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3815, root_relative_squared_error: 0.9451, scimark_benchmark: 942.6348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, build_cpu_time: 0.0014, build_memory: 61902456.0613, f_measure: 0.8396, kappa: 0.5035, kb_relative_information_score: 119.0929, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8383, predictive_accuracy: 0.841, prior_entropy: 0.734, recall: 0.841, relative_absolute_error: 0.7186, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.8494, scimark_benchmark: 1228.4184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8099, build_cpu_time: 3.1891, build_memory: 95321084.7969, f_measure: 0.8222, kappa: 0.427, kb_relative_information_score: 146.1918, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8193, predictive_accuracy: 0.8333, prior_entropy: 0.734, recall: 0.8333, relative_absolute_error: 0.648, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.8558, scimark_benchmark: 821.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, build_cpu_time: 8.5252, build_memory: 705466568, f_measure: 0.8245, kappa: 0.4314, kb_relative_information_score: 141.2465, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8228, predictive_accuracy: 0.8372, prior_entropy: 0.734, recall: 0.8372, relative_absolute_error: 0.6588, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.8517, scimark_benchmark: 1035.3076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, build_cpu_time: 12.9269, build_memory: 416281679.0498, f_measure: 0.8197, kappa: 0.4182, kb_relative_information_score: 141.4843, mean_absolute_error: 0.2169, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8168, predictive_accuracy: 0.8314, prior_entropy: 0.734, recall: 0.8314, relative_absolute_error: 0.6641, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.8517, scimark_benchmark: 943.4191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, build_cpu_time: 28.0883, build_memory: 1875845828.8276, f_measure: 0.8254, kappa: 0.4358, kb_relative_information_score: 142.1539, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8233, predictive_accuracy: 0.8372, prior_entropy: 0.734, recall: 0.8372, relative_absolute_error: 0.6639, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.8488, scimark_benchmark: 942.9632,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7457, build_cpu_time: 7.1126, build_memory: 1365482440.8582, f_measure: 0.8238, kappa: 0.4314, kb_relative_information_score: 211.2837, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8213, predictive_accuracy: 0.8352, prior_entropy: 0.734, recall: 0.8352, relative_absolute_error: 0.506, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.9843, scimark_benchmark: 945.0342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, build_cpu_time: 3.1808, build_memory: 1082358426.2222, f_measure: 0.8247, kappa: 0.4358, kb_relative_information_score: 214.9878, mean_absolute_error: 0.1638, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8218, predictive_accuracy: 0.8352, prior_entropy: 0.734, recall: 0.8352, relative_absolute_error: 0.5017, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.9771, scimark_benchmark: 938.2803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.771, build_cpu_time: 1.4176, build_memory: 659814139.8008, f_measure: 0.8169, kappa: 0.4042, kb_relative_information_score: 214.2923, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8152, predictive_accuracy: 0.8314, prior_entropy: 0.734, recall: 0.8314, relative_absolute_error: 0.504, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.9754, scimark_benchmark: 943.8925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7962, build_cpu_time: 0.7168, build_memory: 83355716.5824, f_measure: 0.8272, kappa: 0.4445, kb_relative_information_score: 209.2299, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8244, predictive_accuracy: 0.8372, prior_entropy: 0.734, recall: 0.8372, relative_absolute_error: 0.5115, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.9737, scimark_benchmark: 941.7327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7822, build_cpu_time: 0.3461, build_memory: 144924848.6437, f_measure: 0.8156, kappa: 0.405, kb_relative_information_score: 200.173, mean_absolute_error: 0.1714, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8122, predictive_accuracy: 0.8276, prior_entropy: 0.734, recall: 0.8276, relative_absolute_error: 0.5249, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.9879, scimark_benchmark: 944.2618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8191, build_cpu_time: 2.5854, build_memory: 1360944330.3908, f_measure: 0.8319, kappa: 0.4538, kb_relative_information_score: 138.5024, mean_absolute_error: 0.2226, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8318, predictive_accuracy: 0.8448, prior_entropy: 0.734, recall: 0.8448, relative_absolute_error: 0.6817, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.8401, scimark_benchmark: 945.8718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8208, build_cpu_time: 5.0087, build_memory: 1210704331.295, f_measure: 0.8249, kappa: 0.4266, kb_relative_information_score: 139.1281, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8266, predictive_accuracy: 0.841, prior_entropy: 0.734, recall: 0.841, relative_absolute_error: 0.6811, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.839, scimark_benchmark: 944.7521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, build_cpu_time: 1.4497, build_memory: 363774851.5402, f_measure: 0.8287, kappa: 0.4448, kb_relative_information_score: 147.4395, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8274, predictive_accuracy: 0.841, prior_entropy: 0.734, recall: 0.841, relative_absolute_error: 0.6553, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3376, root_relative_squared_error: 0.8363, scimark_benchmark: 944.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8224, build_cpu_time: 0.7541, build_memory: 717781833.6552, f_measure: 0.8295, kappa: 0.4491, kb_relative_information_score: 146.125, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8278, predictive_accuracy: 0.841, prior_entropy: 0.734, recall: 0.841, relative_absolute_error: 0.6537, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3374, root_relative_squared_error: 0.8358, scimark_benchmark: 944.6131,

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