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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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File: /var/www/openml/openml_OS/controllers/Frontend.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

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
OpenML
Supervised Classification on jEdit_4.0_4.2

Supervised Classification on jEdit_4.0_4.2

Task 3921 Supervised Classification jEdit_4.0_4.2 551 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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551 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, build_cpu_time: 0.0701, build_memory: 1884140185.8978, f_measure: 0.7149, kappa: 0.4297, kb_relative_information_score: 110.173, mean_absolute_error: 0.3067, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7157, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6137, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4478, root_relative_squared_error: 0.8958, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7905, build_cpu_time: 0.0489, build_memory: 613548570.3942, f_measure: 0.7261, kappa: 0.4519, kb_relative_information_score: 109.7695, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7264, predictive_accuracy: 0.7263, prior_entropy: 0.9997, recall: 0.7263, relative_absolute_error: 0.6164, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4473, root_relative_squared_error: 0.8948, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7914, build_cpu_time: 0.0441, build_memory: 1009076585.9854, f_measure: 0.7225, kappa: 0.4446, kb_relative_information_score: 108.498, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7226, predictive_accuracy: 0.7226, prior_entropy: 0.9997, recall: 0.7226, relative_absolute_error: 0.6205, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4463, root_relative_squared_error: 0.8929, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7663, build_cpu_time: 0.0237, build_memory: 176150926.5401, f_measure: 0.7189, kappa: 0.4374, kb_relative_information_score: 114.1632, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7189, predictive_accuracy: 0.719, prior_entropy: 0.9997, recall: 0.719, relative_absolute_error: 0.5903, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4846, root_relative_squared_error: 0.9695, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, build_cpu_time: 0.0363, build_memory: 238292062.4234, f_measure: 0.7116, kappa: 0.4228, kb_relative_information_score: 114.4083, mean_absolute_error: 0.2936, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7116, predictive_accuracy: 0.7117, prior_entropy: 0.9997, recall: 0.7117, relative_absolute_error: 0.5876, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9688, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, build_cpu_time: 0.0248, build_memory: 119981813.4015, f_measure: 0.7116, kappa: 0.4228, kb_relative_information_score: 114.4083, mean_absolute_error: 0.2936, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7116, predictive_accuracy: 0.7117, prior_entropy: 0.9997, recall: 0.7117, relative_absolute_error: 0.5876, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9688, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, build_cpu_time: 0.0254, build_memory: 1162241309.8394, f_measure: 0.7116, kappa: 0.4228, kb_relative_information_score: 114.4083, mean_absolute_error: 0.2936, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7116, predictive_accuracy: 0.7117, prior_entropy: 0.9997, recall: 0.7117, relative_absolute_error: 0.5876, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9688, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, build_cpu_time: 0.026, build_memory: 2597232237.3139, f_measure: 0.7116, kappa: 0.4228, kb_relative_information_score: 114.4083, mean_absolute_error: 0.2936, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7116, predictive_accuracy: 0.7117, prior_entropy: 0.9997, recall: 0.7117, relative_absolute_error: 0.5876, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9688, scimark_benchmark: 931.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, build_cpu_time: 0.0171, build_memory: 665054417.1387, f_measure: 0.6605, kappa: 0.3205, kb_relative_information_score: 87.3835, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6605, predictive_accuracy: 0.6606, prior_entropy: 0.9997, recall: 0.6606, relative_absolute_error: 0.6816, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5803, root_relative_squared_error: 1.1608, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, build_cpu_time: 0.0144, build_memory: 371956053.0803, f_measure: 0.6605, kappa: 0.3205, kb_relative_information_score: 87.3835, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6605, predictive_accuracy: 0.6606, prior_entropy: 0.9997, recall: 0.6606, relative_absolute_error: 0.6816, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5803, root_relative_squared_error: 1.1608, scimark_benchmark: 919.5971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, build_cpu_time: 0.0088, build_memory: 212596147.0949, f_measure: 0.6605, kappa: 0.3205, kb_relative_information_score: 87.3835, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6605, predictive_accuracy: 0.6606, prior_entropy: 0.9997, recall: 0.6606, relative_absolute_error: 0.6816, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5803, root_relative_squared_error: 1.1608, scimark_benchmark: 937.5625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, build_cpu_time: 0.0134, build_memory: 127775501.4015, f_measure: 0.6605, kappa: 0.3205, kb_relative_information_score: 87.3835, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6605, predictive_accuracy: 0.6606, prior_entropy: 0.9997, recall: 0.6606, relative_absolute_error: 0.6816, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5803, root_relative_squared_error: 1.1608, scimark_benchmark: 924.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, build_cpu_time: 0.0841, build_memory: 64410140.9635, f_measure: 0.7591, kappa: 0.518, kb_relative_information_score: 113.9995, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7591, predictive_accuracy: 0.7591, prior_entropy: 0.9997, recall: 0.7591, relative_absolute_error: 0.6051, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4142, root_relative_squared_error: 0.8287, scimark_benchmark: 926.7725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.779, build_cpu_time: 0.6486, build_memory: 2298183094.2774, f_measure: 0.7263, kappa: 0.4524, kb_relative_information_score: 125.9097, mean_absolute_error: 0.2695, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7263, predictive_accuracy: 0.7263, prior_entropy: 0.9997, recall: 0.7263, relative_absolute_error: 0.5393, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5132, root_relative_squared_error: 1.0267, scimark_benchmark: 925.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7815, build_cpu_time: 0.3096, build_memory: 926268446.8905, f_measure: 0.7373, kappa: 0.4744, kb_relative_information_score: 131.9839, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7374, predictive_accuracy: 0.7372, prior_entropy: 0.9997, recall: 0.7372, relative_absolute_error: 0.5176, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4946, root_relative_squared_error: 0.9895, scimark_benchmark: 931.9838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, build_cpu_time: 0.1302, build_memory: 1356928616.2628, f_measure: 0.7227, kappa: 0.4452, kb_relative_information_score: 119.7092, mean_absolute_error: 0.2819, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7228, predictive_accuracy: 0.7226, prior_entropy: 0.9997, recall: 0.7226, relative_absolute_error: 0.5641, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.0012, scimark_benchmark: 921.4443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4701, build_cpu_time: 0.027, build_memory: 330401482.6861, f_measure: 0.3081, kappa: -0.0585, kb_relative_information_score: -22.2033, mean_absolute_error: 0.5401, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.2317, predictive_accuracy: 0.4599, prior_entropy: 0.9997, recall: 0.4599, relative_absolute_error: 1.0808, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7349, root_relative_squared_error: 1.4702, scimark_benchmark: 945.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, build_cpu_time: 0.0816, build_memory: 1275919512.438, f_measure: 0.7335, kappa: 0.4666, kb_relative_information_score: 124.0784, mean_absolute_error: 0.2764, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7336, predictive_accuracy: 0.7336, prior_entropy: 0.9997, recall: 0.7336, relative_absolute_error: 0.553, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4611, root_relative_squared_error: 0.9223, scimark_benchmark: 944.3832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8089, build_cpu_time: 0.0014, build_memory: 839246325.6934, f_measure: 0.711, kappa: 0.4221, kb_relative_information_score: 100.6969, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7125, predictive_accuracy: 0.7117, prior_entropy: 0.9997, recall: 0.7117, relative_absolute_error: 0.6494, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4289, root_relative_squared_error: 0.858, scimark_benchmark: 906.4221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, build_cpu_time: 0.0632, build_memory: 362569436.6715, f_measure: 0.7844, kappa: 0.57, kb_relative_information_score: 111.7049, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7877, predictive_accuracy: 0.7847, prior_entropy: 0.9997, recall: 0.7847, relative_absolute_error: 0.6175, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.8273, scimark_benchmark: 945.8601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7442, build_cpu_time: 0.019, build_memory: 532189182.3066, f_measure: 0.7149, kappa: 0.4297, kb_relative_information_score: 82.8467, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7157, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.7274, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9079, scimark_benchmark: 936.8995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, build_cpu_time: 0.0002, build_memory: 579868944, f_measure: 0.6605, kappa: 0.3205, kb_relative_information_score: 87.3835, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6605, predictive_accuracy: 0.6606, prior_entropy: 0.9997, recall: 0.6606, relative_absolute_error: 0.6816, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5803, root_relative_squared_error: 1.1608, scimark_benchmark: 938.6628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5039, build_cpu_time: 0.0298, build_memory: 144612925.6642, f_measure: 0.3599, kappa: 0.0079, kb_relative_information_score: 7.8172, mean_absolute_error: 0.4854, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.5881, predictive_accuracy: 0.5146, prior_entropy: 0.9997, recall: 0.5146, relative_absolute_error: 0.9713, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6967, root_relative_squared_error: 1.3937, scimark_benchmark: 946.6735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6675, build_cpu_time: 0.0049, build_memory: 237366939.854, f_measure: 0.6597, kappa: 0.3377, kb_relative_information_score: 93.8759, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6931, predictive_accuracy: 0.6715, prior_entropy: 0.9997, recall: 0.6715, relative_absolute_error: 0.6572, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5731, root_relative_squared_error: 1.1465, scimark_benchmark: 931.9838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7284, build_cpu_time: 0.0132, build_memory: 810765784, f_measure: 0.7284, kappa: 0.458, kb_relative_information_score: 125.8977, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7332, predictive_accuracy: 0.7299, prior_entropy: 0.9997, recall: 0.7299, relative_absolute_error: 0.5404, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0396, scimark_benchmark: 945.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8079, build_cpu_time: 0.004, build_memory: 140890773.0511, f_measure: 0.7147, kappa: 0.4295, kb_relative_information_score: 90.2744, mean_absolute_error: 0.3465, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.716, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6933, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.8499, scimark_benchmark: 926.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7123, build_cpu_time: 0.0103, build_memory: 40986519.1241, f_measure: 0.6577, kappa: 0.3372, kb_relative_information_score: 88.2303, mean_absolute_error: 0.3444, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6977, predictive_accuracy: 0.6715, prior_entropy: 0.9997, recall: 0.6715, relative_absolute_error: 0.6891, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5071, root_relative_squared_error: 1.0144, scimark_benchmark: 946.5639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7123, build_cpu_time: 0.0006, build_memory: 112406922.1898, f_measure: 0.6577, kappa: 0.3372, kb_relative_information_score: 88.2303, mean_absolute_error: 0.3444, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6977, predictive_accuracy: 0.6715, prior_entropy: 0.9997, recall: 0.6715, relative_absolute_error: 0.6891, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5071, root_relative_squared_error: 1.0144, scimark_benchmark: 942.9279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7123, build_cpu_time: 0.0007, build_memory: 615219820.2044, f_measure: 0.6577, kappa: 0.3372, kb_relative_information_score: 88.2303, mean_absolute_error: 0.3444, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6977, predictive_accuracy: 0.6715, prior_entropy: 0.9997, recall: 0.6715, relative_absolute_error: 0.6891, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5071, root_relative_squared_error: 1.0144, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, build_cpu_time: 0.013, build_memory: 1470528894.3942, f_measure: 0.7407, kappa: 0.4811, kb_relative_information_score: 101.6141, mean_absolute_error: 0.3262, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.741, predictive_accuracy: 0.7409, prior_entropy: 0.9997, recall: 0.7409, relative_absolute_error: 0.6527, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.8353, scimark_benchmark: 945.1122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, build_cpu_time: 0.0145, build_memory: 1100508005.1971, f_measure: 0.7407, kappa: 0.4811, kb_relative_information_score: 101.6141, mean_absolute_error: 0.3262, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.741, predictive_accuracy: 0.7409, prior_entropy: 0.9997, recall: 0.7409, relative_absolute_error: 0.6527, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.8353, scimark_benchmark: 943.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, build_cpu_time: 0.0105, build_memory: 35636258.219, f_measure: 0.7259, kappa: 0.4517, kb_relative_information_score: 91.7863, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7266, predictive_accuracy: 0.7263, prior_entropy: 0.9997, recall: 0.7263, relative_absolute_error: 0.6905, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8607, scimark_benchmark: 933.4176,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7852, build_cpu_time: 0.2989, build_memory: 1971764825.5183, f_measure: 0.7263, kappa: 0.4527, kb_relative_information_score: 108.0176, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7268, predictive_accuracy: 0.7263, prior_entropy: 0.9997, recall: 0.7263, relative_absolute_error: 0.6195, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9169, scimark_benchmark: 942.9616,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.821, build_cpu_time: 12.667, build_memory: 1357403686.1898, f_measure: 0.7591, kappa: 0.5185, kb_relative_information_score: 112.6689, mean_absolute_error: 0.3054, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7599, predictive_accuracy: 0.7591, prior_entropy: 0.9997, recall: 0.7591, relative_absolute_error: 0.6112, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.8336, scimark_benchmark: 944.2629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8223, build_cpu_time: 26.7749, build_memory: 49766379.3285, f_measure: 0.7664, kappa: 0.5332, kb_relative_information_score: 112.9856, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7676, predictive_accuracy: 0.7664, prior_entropy: 0.9997, recall: 0.7664, relative_absolute_error: 0.6107, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4151, root_relative_squared_error: 0.8305, scimark_benchmark: 926.9566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, build_cpu_time: 1.5182, build_memory: 132449545.3723, f_measure: 0.7589, kappa: 0.5189, kb_relative_information_score: 140.3298, mean_absolute_error: 0.2439, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7616, predictive_accuracy: 0.7591, prior_entropy: 0.9997, recall: 0.7591, relative_absolute_error: 0.488, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4877, root_relative_squared_error: 0.9756, scimark_benchmark: 944.0386,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, build_cpu_time: 0.2984, build_memory: 99091680.3504, f_measure: 0.7591, kappa: 0.5185, kb_relative_information_score: 141.046, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7599, predictive_accuracy: 0.7591, prior_entropy: 0.9997, recall: 0.7591, relative_absolute_error: 0.4854, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4771, root_relative_squared_error: 0.9544, scimark_benchmark: 941.2105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8089, build_cpu_time: 0.2209, build_memory: 65705404.7591, f_measure: 0.7518, kappa: 0.504, kb_relative_information_score: 138.2297, mean_absolute_error: 0.2481, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.753, predictive_accuracy: 0.7518, prior_entropy: 0.9997, recall: 0.7518, relative_absolute_error: 0.4964, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4792, root_relative_squared_error: 0.9586, scimark_benchmark: 941.9633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8089, build_cpu_time: 0.2362, build_memory: 35285256.3796, f_measure: 0.7518, kappa: 0.504, kb_relative_information_score: 138.2297, mean_absolute_error: 0.2481, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.753, predictive_accuracy: 0.7518, prior_entropy: 0.9997, recall: 0.7518, relative_absolute_error: 0.4964, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4792, root_relative_squared_error: 0.9586, scimark_benchmark: 945.2151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8128, build_cpu_time: 0.08, build_memory: 58975284.3796, f_measure: 0.7444, kappa: 0.4896, kb_relative_information_score: 134.393, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7462, predictive_accuracy: 0.7445, prior_entropy: 0.9997, recall: 0.7445, relative_absolute_error: 0.5118, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4766, root_relative_squared_error: 0.9535, scimark_benchmark: 944.2618,

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