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Severity: Warning

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Backtrace:

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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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Line: 85
Function: loadpage

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

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
Line: 124
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

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
Line: 117
Function: query

File: /var/www/openml/openml_OS/helpers/cms_helper.php
Line: 19
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 balance-scale

Supervised Classification on balance-scale

Task 241 Supervised Classification balance-scale 302 runs submitted
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302 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, f_measure: 0.7816, kappa: 0.671, kb_relative_information_score: 116.7252, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7633, predictive_accuracy: 0.8155, prior_entropy: 1.3212, recall: 0.8155, relative_absolute_error: 0.4009, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.6706, scimark_benchmark: 854.5188, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.781, kappa: 0.6763, kb_relative_information_score: 62.809, mean_absolute_error: 0.2848, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7634, predictive_accuracy: 0.8204, prior_entropy: 1.3212, recall: 0.8204, relative_absolute_error: 0.7383, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.8356, scimark_benchmark: 1318.5526, usercpu_time_millis: 230, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, f_measure: 0.7946, kappa: 0.709, kb_relative_information_score: 65.3498, mean_absolute_error: 0.2805, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7544, predictive_accuracy: 0.8398, prior_entropy: 1.3212, recall: 0.8398, relative_absolute_error: 0.7271, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.8223, scimark_benchmark: 1321.527, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.7899, kappa: 0.6851, kb_relative_information_score: 147.3693, mean_absolute_error: 0.1283, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.8545, predictive_accuracy: 0.8252, prior_entropy: 1.3212, recall: 0.8252, relative_absolute_error: 0.3326, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.2554, root_relative_squared_error: 0.5772, scimark_benchmark: 938.9967, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.7709, kappa: 0.6584, kb_relative_information_score: 127.5077, mean_absolute_error: 0.1262, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7482, predictive_accuracy: 0.8107, prior_entropy: 1.3212, recall: 0.8107, relative_absolute_error: 0.3272, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3553, root_relative_squared_error: 0.8031, scimark_benchmark: 939.449, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.6935, kappa: 0.5193, kb_relative_information_score: 69.8804, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.6787, predictive_accuracy: 0.733, prior_entropy: 1.3212, recall: 0.733, relative_absolute_error: 0.6817, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.353, root_relative_squared_error: 0.7979, scimark_benchmark: 1073.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.6935, kappa: 0.5193, kb_relative_information_score: 69.5953, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.6787, predictive_accuracy: 0.733, prior_entropy: 1.3212, recall: 0.733, relative_absolute_error: 0.6836, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3531, root_relative_squared_error: 0.7982, scimark_benchmark: 1319.5177, usercpu_time_millis: 280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.7921, kappa: 0.675, kb_relative_information_score: 115.3749, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7705, predictive_accuracy: 0.8155, prior_entropy: 1.3212, recall: 0.8155, relative_absolute_error: 0.4256, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.6633, scimark_benchmark: 1307.4861, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.7465, kappa: 0.5847, kb_relative_information_score: 112.3006, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7322, predictive_accuracy: 0.7621, prior_entropy: 1.3212, recall: 0.7621, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.9002, scimark_benchmark: 1319.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.7304, kappa: 0.5851, kb_relative_information_score: 100.4849, mean_absolute_error: 0.202, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.6932, predictive_accuracy: 0.7718, prior_entropy: 1.3212, recall: 0.7718, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.818, scimark_benchmark: 1319.6463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8146, f_measure: 0.7442, kappa: 0.6123, kb_relative_information_score: 100.6489, mean_absolute_error: 0.2005, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7071, predictive_accuracy: 0.7864, prior_entropy: 1.3212, recall: 0.7864, relative_absolute_error: 0.5199, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3537, root_relative_squared_error: 0.7996, scimark_benchmark: 1327.6929, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.7644, kappa: 0.6306, kb_relative_information_score: 121.4249, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7414, predictive_accuracy: 0.7913, prior_entropy: 1.3212, recall: 0.7913, relative_absolute_error: 0.3608, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.373, root_relative_squared_error: 0.8433, scimark_benchmark: 1315.395, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.589, f_measure: 0.4683, kappa: 0.1742, kb_relative_information_score: 40.8276, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.5406, predictive_accuracy: 0.534, prior_entropy: 1.3212, recall: 0.534, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.5574, root_relative_squared_error: 1.26, scimark_benchmark: 1368.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8545, f_measure: 0.7462, kappa: 0.6005, kb_relative_information_score: 113.7522, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7364, predictive_accuracy: 0.7767, prior_entropy: 1.3212, recall: 0.7767, relative_absolute_error: 0.4508, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.8227, scimark_benchmark: 1466.6185, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6343, f_measure: 0.5561, kappa: 0.2664, kb_relative_information_score: 59.076, mean_absolute_error: 0.2718, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.5434, predictive_accuracy: 0.5922, prior_entropy: 1.3212, recall: 0.5922, relative_absolute_error: 0.7047, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.5214, root_relative_squared_error: 1.1786, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.748, f_measure: 0.6856, kappa: 0.4888, kb_relative_information_score: 98.4267, mean_absolute_error: 0.1909, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.6831, predictive_accuracy: 0.7136, prior_entropy: 1.3212, recall: 0.7136, relative_absolute_error: 0.495, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.437, root_relative_squared_error: 0.9878, scimark_benchmark: 1028.5889, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2557, kb_relative_information_score: 2.0184, mean_absolute_error: 0.3835, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.1825, predictive_accuracy: 0.4272, prior_entropy: 1.3212, recall: 0.4272, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.4432, root_relative_squared_error: 1.0018, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.7362, kappa: 0.5773, kb_relative_information_score: 104.1459, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7123, predictive_accuracy: 0.7621, prior_entropy: 1.3212, recall: 0.7621, relative_absolute_error: 0.484, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.8365, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, build_cpu_time: 0.09, build_memory: 958567256, f_measure: 0.7946, kappa: 0.709, kb_relative_information_score: 144.7544, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7544, predictive_accuracy: 0.8398, prior_entropy: 1.3212, recall: 0.8398, relative_absolute_error: 0.3495, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.2677, root_relative_squared_error: 0.6052, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, build_cpu_time: 0.112, build_memory: 844690744, f_measure: 0.7946, kappa: 0.709, kb_relative_information_score: 144.7544, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7544, predictive_accuracy: 0.8398, prior_entropy: 1.3212, recall: 0.8398, relative_absolute_error: 0.3495, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.2677, root_relative_squared_error: 0.6052, scimark_benchmark: 918.9027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, build_cpu_time: 0.084, build_memory: 1016931456, f_measure: 0.7946, kappa: 0.709, kb_relative_information_score: 144.7544, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7544, predictive_accuracy: 0.8398, prior_entropy: 1.3212, recall: 0.8398, relative_absolute_error: 0.3495, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.2677, root_relative_squared_error: 0.6052, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, build_cpu_time: 0.104, build_memory: 1347944432, f_measure: 0.7946, kappa: 0.709, kb_relative_information_score: 144.7544, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7544, predictive_accuracy: 0.8398, prior_entropy: 1.3212, recall: 0.8398, relative_absolute_error: 0.3495, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.2677, root_relative_squared_error: 0.6052, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, build_cpu_time: 0.099, build_memory: 634967976, f_measure: 0.7946, kappa: 0.709, kb_relative_information_score: 144.7544, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7544, predictive_accuracy: 0.8398, prior_entropy: 1.3212, recall: 0.8398, relative_absolute_error: 0.3495, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.2677, root_relative_squared_error: 0.6052, scimark_benchmark: 941.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, build_cpu_time: 0.019, build_memory: 922441184, f_measure: 0.7683, kappa: 0.6441, kb_relative_information_score: 120.5312, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7388, predictive_accuracy: 0.801, prior_entropy: 1.3212, recall: 0.801, relative_absolute_error: 0.3915, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3056, root_relative_squared_error: 0.6907, scimark_benchmark: 940.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, build_cpu_time: 0.012, build_memory: 228082552, f_measure: 0.7683, kappa: 0.6441, kb_relative_information_score: 120.5312, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7388, predictive_accuracy: 0.801, prior_entropy: 1.3212, recall: 0.801, relative_absolute_error: 0.3915, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3056, root_relative_squared_error: 0.6907, scimark_benchmark: 926.4124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, build_cpu_time: 0.013, build_memory: 1046049680, f_measure: 0.7683, kappa: 0.6441, kb_relative_information_score: 120.5312, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7388, predictive_accuracy: 0.801, prior_entropy: 1.3212, recall: 0.801, relative_absolute_error: 0.3915, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3056, root_relative_squared_error: 0.6907, scimark_benchmark: 947.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, build_cpu_time: 0.019, build_memory: 947881480, f_measure: 0.7683, kappa: 0.6441, kb_relative_information_score: 120.5312, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7388, predictive_accuracy: 0.801, prior_entropy: 1.3212, recall: 0.801, relative_absolute_error: 0.3915, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3056, root_relative_squared_error: 0.6907, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, build_cpu_time: 0.021, build_memory: 115875680, f_measure: 0.7683, kappa: 0.6441, kb_relative_information_score: 120.5312, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7388, predictive_accuracy: 0.801, prior_entropy: 1.3212, recall: 0.801, relative_absolute_error: 0.3915, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3056, root_relative_squared_error: 0.6907, scimark_benchmark: 938.8409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8057, build_cpu_time: 0.005, build_memory: 416891320, f_measure: 0.7485, kappa: 0.5846, kb_relative_information_score: 113.6337, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7367, predictive_accuracy: 0.7621, prior_entropy: 1.3212, recall: 0.7621, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.9002, scimark_benchmark: 941.8828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8057, build_cpu_time: 0.006, build_memory: 2206495960, f_measure: 0.7485, kappa: 0.5846, kb_relative_information_score: 113.6337, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7367, predictive_accuracy: 0.7621, prior_entropy: 1.3212, recall: 0.7621, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.9002, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8057, build_cpu_time: 0.002, build_memory: 2592671776, f_measure: 0.7485, kappa: 0.5846, kb_relative_information_score: 113.6337, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7367, predictive_accuracy: 0.7621, prior_entropy: 1.3212, recall: 0.7621, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.9002, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8057, build_cpu_time: 0.003, build_memory: 1184277816, f_measure: 0.7485, kappa: 0.5846, kb_relative_information_score: 113.6337, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7367, predictive_accuracy: 0.7621, prior_entropy: 1.3212, recall: 0.7621, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.9002, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8057, build_cpu_time: 0.002, build_memory: 467259344, f_measure: 0.7485, kappa: 0.5846, kb_relative_information_score: 113.6337, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7367, predictive_accuracy: 0.7621, prior_entropy: 1.3212, recall: 0.7621, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.9002, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, build_cpu_time: 0.138, build_memory: 1772741640, f_measure: 0.7854, kappa: 0.6654, kb_relative_information_score: 113.3741, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.762, predictive_accuracy: 0.8107, prior_entropy: 1.3212, recall: 0.8107, relative_absolute_error: 0.4348, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.2987, root_relative_squared_error: 0.6753, scimark_benchmark: 943.8094,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8998, build_cpu_time: 0.995, build_memory: 170830920, f_measure: 0.7749, kappa: 0.6358, kb_relative_information_score: 121.8551, mean_absolute_error: 0.1416, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7607, predictive_accuracy: 0.7913, prior_entropy: 1.3212, recall: 0.7913, relative_absolute_error: 0.3671, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.8196, scimark_benchmark: 943.5054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, build_cpu_time: 0.249, build_memory: 1101807064, f_measure: 0.7652, kappa: 0.6188, kb_relative_information_score: 115.7219, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7506, predictive_accuracy: 0.7816, prior_entropy: 1.3212, recall: 0.7816, relative_absolute_error: 0.3958, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.8259, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, build_cpu_time: 0.001, build_memory: 289923304, f_measure: 0.6935, kappa: 0.5193, kb_relative_information_score: 76.7712, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.6787, predictive_accuracy: 0.733, prior_entropy: 1.3212, recall: 0.733, relative_absolute_error: 0.642, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3492, root_relative_squared_error: 0.7894, scimark_benchmark: 912.1058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, build_cpu_time: 0.115, build_memory: 892956720, f_measure: 0.7921, kappa: 0.675, kb_relative_information_score: 115.3749, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7705, predictive_accuracy: 0.8155, prior_entropy: 1.3212, recall: 0.8155, relative_absolute_error: 0.4256, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.6633, scimark_benchmark: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8182, build_cpu_time: 0.013, build_memory: 251930520, f_measure: 0.7623, kappa: 0.648, kb_relative_information_score: 109.3973, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7253, predictive_accuracy: 0.8058, prior_entropy: 1.3212, recall: 0.8058, relative_absolute_error: 0.4704, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3396, root_relative_squared_error: 0.7677, scimark_benchmark: 912.1058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, build_memory: 352148528, f_measure: 0.7759, kappa: 0.6559, kb_relative_information_score: 116.7528, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7626, predictive_accuracy: 0.8058, prior_entropy: 1.3212, recall: 0.8058, relative_absolute_error: 0.395, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.2979, root_relative_squared_error: 0.6735, scimark_benchmark: 945.4085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, build_cpu_time: 0.093, build_memory: 663434840, f_measure: 0.781, kappa: 0.6763, kb_relative_information_score: 62.809, mean_absolute_error: 0.2848, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7634, predictive_accuracy: 0.8204, prior_entropy: 1.3212, recall: 0.8204, relative_absolute_error: 0.7383, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.8356, scimark_benchmark: 945.4085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, build_cpu_time: 0.015, build_memory: 898041728, f_measure: 0.7946, kappa: 0.709, kb_relative_information_score: 65.3498, mean_absolute_error: 0.2805, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7544, predictive_accuracy: 0.8398, prior_entropy: 1.3212, recall: 0.8398, relative_absolute_error: 0.7271, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.8223, scimark_benchmark: 909.8271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, build_cpu_time: 0.012, build_memory: 665608872, f_measure: 0.8588, kappa: 0.7549, kb_relative_information_score: 160.4355, mean_absolute_error: 0.1095, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.8692, predictive_accuracy: 0.8544, prior_entropy: 1.3212, recall: 0.8544, relative_absolute_error: 0.2839, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.2463, root_relative_squared_error: 0.5568, scimark_benchmark: 945.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, build_cpu_time: 0.013, build_memory: 1258738960, f_measure: 0.7674, kappa: 0.6565, kb_relative_information_score: 100.629, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7297, predictive_accuracy: 0.8107, prior_entropy: 1.3212, recall: 0.8107, relative_absolute_error: 0.5214, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3081, root_relative_squared_error: 0.6964, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, build_cpu_time: 0.016, build_memory: 1276910544, f_measure: 0.7674, kappa: 0.6565, kb_relative_information_score: 100.629, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7297, predictive_accuracy: 0.8107, prior_entropy: 1.3212, recall: 0.8107, relative_absolute_error: 0.5214, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3081, root_relative_squared_error: 0.6964, scimark_benchmark: 943.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, build_cpu_time: 0.006, build_memory: 664382320, f_measure: 0.6982, kappa: 0.5231, kb_relative_information_score: 56.1051, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.6627, predictive_accuracy: 0.7379, prior_entropy: 1.3212, recall: 0.7379, relative_absolute_error: 0.8019, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.825, scimark_benchmark: 945.1122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6343, build_memory: 496383912, f_measure: 0.5561, kappa: 0.2664, kb_relative_information_score: 59.076, mean_absolute_error: 0.2718, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.5434, predictive_accuracy: 0.5922, prior_entropy: 1.3212, recall: 0.5922, relative_absolute_error: 0.7047, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.5214, root_relative_squared_error: 1.1786, scimark_benchmark: 927.6633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6343, build_memory: 666439008, f_measure: 0.5561, kappa: 0.2664, kb_relative_information_score: 59.076, mean_absolute_error: 0.2718, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.5434, predictive_accuracy: 0.5922, prior_entropy: 1.3212, recall: 0.5922, relative_absolute_error: 0.7047, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.5214, root_relative_squared_error: 1.1786, scimark_benchmark: 943.9113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_memory: 458012544, f_measure: 0.2557, kb_relative_information_score: 2.0184, mean_absolute_error: 0.3835, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.1825, predictive_accuracy: 0.4272, prior_entropy: 1.3212, recall: 0.4272, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.4432, root_relative_squared_error: 1.0018, scimark_benchmark: 940.3415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, build_cpu_time: 0.144, build_memory: 744591408, f_measure: 0.791, kappa: 0.7014, kb_relative_information_score: 64.2512, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7572, predictive_accuracy: 0.835, prior_entropy: 1.3212, recall: 0.835, relative_absolute_error: 0.7321, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3542, root_relative_squared_error: 0.8007, scimark_benchmark: 926.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, build_cpu_time: 0.153, build_memory: 704407672, f_measure: 0.791, kappa: 0.7014, kb_relative_information_score: 64.2512, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7572, predictive_accuracy: 0.835, prior_entropy: 1.3212, recall: 0.835, relative_absolute_error: 0.7321, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3542, root_relative_squared_error: 0.8007, scimark_benchmark: 895.5844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, build_cpu_time: 0.136, build_memory: 252896720, f_measure: 0.791, kappa: 0.7014, kb_relative_information_score: 64.2512, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7572, predictive_accuracy: 0.835, prior_entropy: 1.3212, recall: 0.835, relative_absolute_error: 0.7321, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3542, root_relative_squared_error: 0.8007, scimark_benchmark: 931.4894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, build_cpu_time: 0.169, build_memory: 2120848848, f_measure: 0.791, kappa: 0.7014, kb_relative_information_score: 64.2512, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7572, predictive_accuracy: 0.835, prior_entropy: 1.3212, recall: 0.835, relative_absolute_error: 0.7321, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3542, root_relative_squared_error: 0.8007, scimark_benchmark: 943.4668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8802, build_cpu_time: 0.513, build_memory: 969273256, f_measure: 0.7917, kappa: 0.7014, kb_relative_information_score: 64.0827, mean_absolute_error: 0.2827, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7583, predictive_accuracy: 0.835, prior_entropy: 1.3212, recall: 0.835, relative_absolute_error: 0.7328, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3517, root_relative_squared_error: 0.7949, scimark_benchmark: 921.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, build_cpu_time: 0.573, build_memory: 738304752, f_measure: 0.7792, kappa: 0.6759, kb_relative_information_score: 63.7249, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7555, predictive_accuracy: 0.8204, prior_entropy: 1.3212, recall: 0.8204, relative_absolute_error: 0.7342, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3517, root_relative_squared_error: 0.7951, scimark_benchmark: 942.0094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, build_cpu_time: 0.746, build_memory: 464621368, f_measure: 0.7792, kappa: 0.6759, kb_relative_information_score: 63.7249, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7555, predictive_accuracy: 0.8204, prior_entropy: 1.3212, recall: 0.8204, relative_absolute_error: 0.7342, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3517, root_relative_squared_error: 0.7951, scimark_benchmark: 928.8874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8724, build_cpu_time: 1.349, build_memory: 759032040, f_measure: 0.7841, kappa: 0.6844, kb_relative_information_score: 63.6269, mean_absolute_error: 0.2834, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7577, predictive_accuracy: 0.8252, prior_entropy: 1.3212, recall: 0.8252, relative_absolute_error: 0.7346, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3517, root_relative_squared_error: 0.7949, scimark_benchmark: 937.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8724, build_cpu_time: 1.35, build_memory: 3574595720, f_measure: 0.7841, kappa: 0.6844, kb_relative_information_score: 63.6269, mean_absolute_error: 0.2834, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7577, predictive_accuracy: 0.8252, prior_entropy: 1.3212, recall: 0.8252, relative_absolute_error: 0.7346, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3517, root_relative_squared_error: 0.7949, scimark_benchmark: 943.8315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, build_cpu_time: 2.579, build_memory: 868565376, f_measure: 0.7855, kappa: 0.6849, kb_relative_information_score: 63.7351, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7661, predictive_accuracy: 0.8252, prior_entropy: 1.3212, recall: 0.8252, relative_absolute_error: 0.7342, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.3511, root_relative_squared_error: 0.7936, scimark_benchmark: 944.9156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, build_cpu_time: 0.189, build_memory: 1048523920, f_measure: 0.7953, kappa: 0.7094, kb_relative_information_score: 103.9013, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.3857, number_of_instances: 206, precision: 0.7564, predictive_accuracy: 0.8398, prior_entropy: 1.3212, recall: 0.8398, relative_absolute_error: 0.5018, root_mean_prior_squared_error: 0.4424, root_mean_squared_error: 0.2942, root_relative_squared_error: 0.665, scimark_benchmark: 902.5808,

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