DEVELOPMENT...

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: 104
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

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
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

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 gina_prior2

Supervised Classification on gina_prior2

Task 3894 Supervised Classification gina_prior2 286 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • study_1 study_107 study_41 under100k
Issue #Downvotes for this reason By


Metric:

286 Runs

Fetching data
Fetching data
Search runs in more detail run
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9246, kappa: 0.9166, kb_relative_information_score: 3210.6102, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.9264, predictive_accuracy: 0.925, prior_entropy: 3.3188, recall: 0.925, relative_absolute_error: 0.1119, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.1079, root_relative_squared_error: 0.3597, scimark_benchmark: 1442.7264, usercpu_time_millis: 107870, usercpu_time_millis_testing: 107870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.7726, kappa: 0.7486, kb_relative_information_score: 2610.9716, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.7746, predictive_accuracy: 0.7739, prior_entropy: 3.3188, recall: 0.7739, relative_absolute_error: 0.277, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.6516, scimark_benchmark: 937.6212, usercpu_time_millis: 11542970, usercpu_time_millis_testing: 9470, usercpu_time_millis_training: 11533500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.935, kappa: 0.9279, kb_relative_information_score: 1019.3873, mean_absolute_error: 0.1605, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.9353, predictive_accuracy: 0.9351, prior_entropy: 3.3188, recall: 0.9351, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.273, root_relative_squared_error: 0.9102, scimark_benchmark: 1336.3256, usercpu_time_millis: 122580, usercpu_time_millis_testing: 106700, usercpu_time_millis_training: 15880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.8881, kappa: 0.8763, kb_relative_information_score: 1002.055, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.8885, predictive_accuracy: 0.8887, prior_entropy: 3.3188, recall: 0.8887, relative_absolute_error: 0.8945, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.2732, root_relative_squared_error: 0.9109, scimark_benchmark: 1333.5799, usercpu_time_millis: 6210, usercpu_time_millis_testing: 470, usercpu_time_millis_training: 5740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.8827, kappa: 0.8698, kb_relative_information_score: 3023.84, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.8826, predictive_accuracy: 0.8829, prior_entropy: 3.3188, recall: 0.8829, relative_absolute_error: 0.1798, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.1342, root_relative_squared_error: 0.4475, scimark_benchmark: 942.9708, usercpu_time_millis: 229270, usercpu_time_millis_testing: 690, usercpu_time_millis_training: 228580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.8079, kappa: 0.7862, kb_relative_information_score: 2765.0004, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.809, predictive_accuracy: 0.8077, prior_entropy: 3.3188, recall: 0.8077, relative_absolute_error: 0.2138, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.6539, scimark_benchmark: 942.9518, usercpu_time_millis: 4860, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 4810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.022, kb_relative_information_score: 226.7469, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.0122, predictive_accuracy: 0.1104, prior_entropy: 3.3188, recall: 0.1104, relative_absolute_error: 0.9889, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.4218, root_relative_squared_error: 1.4063, scimark_benchmark: 1331.6907, usercpu_time_millis: 131220, usercpu_time_millis_testing: 49850, usercpu_time_millis_training: 81370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.8276, kappa: 0.8086, kb_relative_information_score: 2859.6067, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.8292, predictive_accuracy: 0.8279, prior_entropy: 3.3188, recall: 0.8279, relative_absolute_error: 0.1902, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.6012, scimark_benchmark: 1073.494, usercpu_time_millis: 2990, usercpu_time_millis_testing: 2180, usercpu_time_millis_training: 810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9201, kappa: 0.9112, kb_relative_information_score: 3181.2662, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.9217, predictive_accuracy: 0.9201, prior_entropy: 3.3188, recall: 0.9201, relative_absolute_error: 0.0895, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.123, root_relative_squared_error: 0.4103, scimark_benchmark: 930.067, usercpu_time_millis: 83570, usercpu_time_millis_testing: 63430, usercpu_time_millis_training: 20140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.93, kappa: 0.9224, kb_relative_information_score: 2594.1841, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.9304, predictive_accuracy: 0.9302, prior_entropy: 3.3188, recall: 0.9302, relative_absolute_error: 0.4308, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.1578, root_relative_squared_error: 0.5262, scimark_benchmark: 1361.1055, usercpu_time_millis: 6070, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 5740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8077, f_measure: 0.6532, kappa: 0.6147, kb_relative_information_score: 2202.874, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.6537, predictive_accuracy: 0.6534, prior_entropy: 3.3188, recall: 0.6534, relative_absolute_error: 0.3853, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.2633, root_relative_squared_error: 0.8778, scimark_benchmark: 1346.9602, usercpu_time_millis: 140, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.7342, kappa: 0.7054, kb_relative_information_score: 2399.2482, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.7342, predictive_accuracy: 0.735, prior_entropy: 3.3188, recall: 0.735, relative_absolute_error: 0.3867, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.6873, scimark_benchmark: 1319.9043, usercpu_time_millis: 2990, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.7406, kappa: 0.7121, kb_relative_information_score: 2431.0548, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.741, predictive_accuracy: 0.7411, prior_entropy: 3.3188, recall: 0.7411, relative_absolute_error: 0.3639, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.6961, scimark_benchmark: 1290.1085, usercpu_time_millis: 20130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8417, f_measure: 0.7153, kappa: 0.6832, kb_relative_information_score: 2428.6007, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.7763, predictive_accuracy: 0.7151, prior_entropy: 3.3188, recall: 0.7151, relative_absolute_error: 0.3167, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.2387, root_relative_squared_error: 0.7959, scimark_benchmark: 1307.4861, usercpu_time_millis: 192560, usercpu_time_millis_testing: 120000, usercpu_time_millis_training: 72560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, f_measure: 0.024, kappa: 0.0022, kb_relative_information_score: 222.3476, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.1215, predictive_accuracy: 0.1073, prior_entropy: 3.3188, recall: 0.1073, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.4225, root_relative_squared_error: 1.4088, scimark_benchmark: 1361.1055, usercpu_time_millis: 471220, usercpu_time_millis_testing: 94470, usercpu_time_millis_training: 376750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, f_measure: 0.7881, kappa: 0.7647, kb_relative_information_score: 2682.7178, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.7885, predictive_accuracy: 0.7884, prior_entropy: 3.3188, recall: 0.7884, relative_absolute_error: 0.2478, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.6712, scimark_benchmark: 1392.1129, usercpu_time_millis: 28280, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 28260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5763, f_measure: 0.1615, kappa: 0.1521, kb_relative_information_score: 696.294, mean_absolute_error: 0.1518, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.1679, predictive_accuracy: 0.2408, prior_entropy: 3.3188, recall: 0.2408, relative_absolute_error: 0.844, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.3897, root_relative_squared_error: 1.2992, scimark_benchmark: 1351.788, usercpu_time_millis: 290, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8468, f_measure: 0.7224, kappa: 0.6931, kb_relative_information_score: 2459.0286, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.7238, predictive_accuracy: 0.724, prior_entropy: 3.3188, recall: 0.724, relative_absolute_error: 0.3068, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.7833, scimark_benchmark: 1353.5686, usercpu_time_millis: 664820, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 664810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4971, f_measure: 0.022, kb_relative_information_score: 0.724, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.0122, predictive_accuracy: 0.1104, prior_entropy: 3.3188, recall: 0.1104, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.2999, root_relative_squared_error: 1, scimark_benchmark: 1418.5826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8678, f_measure: 0.7564, kappa: 0.7298, kb_relative_information_score: 2571.9403, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.7564, predictive_accuracy: 0.7569, prior_entropy: 3.3188, recall: 0.7569, relative_absolute_error: 0.2903, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.7033, scimark_benchmark: 1605.6303, usercpu_time_millis: 5240, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 5220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, f_measure: 0.7138, kappa: 0.6849, kb_relative_information_score: 2361.7119, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.7416, predictive_accuracy: 0.7168, prior_entropy: 3.3188, recall: 0.7168, relative_absolute_error: 0.3739, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.7352, scimark_benchmark: 927.0753, usercpu_time_millis: 178890, usercpu_time_millis_testing: 66920, usercpu_time_millis_training: 111970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.7139, kappa: 0.6846, kb_relative_information_score: 1105.2964, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.7404, predictive_accuracy: 0.7166, prior_entropy: 3.3188, recall: 0.7166, relative_absolute_error: 0.8592, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.8711, scimark_benchmark: 945.6434, usercpu_time_millis: 67080, usercpu_time_millis_testing: 20210, usercpu_time_millis_training: 46870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.7139, kappa: 0.6846, kb_relative_information_score: 1105.2964, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.7404, predictive_accuracy: 0.7166, prior_entropy: 3.3188, recall: 0.7166, relative_absolute_error: 0.8592, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.8711, scimark_benchmark: 941.7954, usercpu_time_millis: 66950, usercpu_time_millis_testing: 20720, usercpu_time_millis_training: 46230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.7139, kappa: 0.6846, kb_relative_information_score: 1105.2964, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.7404, predictive_accuracy: 0.7166, prior_entropy: 3.3188, recall: 0.7166, relative_absolute_error: 0.8592, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.8711, scimark_benchmark: 942.3168, usercpu_time_millis: 68040, usercpu_time_millis_testing: 21120, usercpu_time_millis_training: 46920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.7139, kappa: 0.6846, kb_relative_information_score: 1105.2964, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.7404, predictive_accuracy: 0.7166, prior_entropy: 3.3188, recall: 0.7166, relative_absolute_error: 0.8592, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.8711, scimark_benchmark: 934.5243, usercpu_time_millis: 66920, usercpu_time_millis_testing: 20060, usercpu_time_millis_training: 46860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6415, f_measure: 0.0752, kappa: 0.1116, kb_relative_information_score: 540.3413, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.0462, predictive_accuracy: 0.2079, prior_entropy: 3.3188, recall: 0.2079, relative_absolute_error: 0.9547, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.9773, scimark_benchmark: 894.7455, usercpu_time_millis: 570, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6415, f_measure: 0.0752, kappa: 0.1116, kb_relative_information_score: 540.3413, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.0462, predictive_accuracy: 0.2079, prior_entropy: 3.3188, recall: 0.2079, relative_absolute_error: 0.9547, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.9773, scimark_benchmark: 876.8277, usercpu_time_millis: 610, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6415, f_measure: 0.0752, kappa: 0.1116, kb_relative_information_score: 540.3413, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.0462, predictive_accuracy: 0.2079, prior_entropy: 3.3188, recall: 0.2079, relative_absolute_error: 0.9547, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.9773, scimark_benchmark: 911.3823, usercpu_time_millis: 620, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6415, f_measure: 0.0752, kappa: 0.1116, kb_relative_information_score: 540.3413, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.0462, predictive_accuracy: 0.2079, prior_entropy: 3.3188, recall: 0.2079, relative_absolute_error: 0.9547, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.9773, scimark_benchmark: 938.4285, usercpu_time_millis: 620, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6415, f_measure: 0.0752, kappa: 0.1116, kb_relative_information_score: 540.3413, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.0462, predictive_accuracy: 0.2079, prior_entropy: 3.3188, recall: 0.2079, relative_absolute_error: 0.9547, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.9773, scimark_benchmark: 938.4278, usercpu_time_millis: 590, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.8794, kappa: 0.866, kb_relative_information_score: 3058.4349, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.8794, predictive_accuracy: 0.8795, prior_entropy: 3.3188, recall: 0.8795, relative_absolute_error: 0.1463, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.4595, scimark_benchmark: 936.6206, usercpu_time_millis: 770290, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 770280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.8701, kappa: 0.8557, kb_relative_information_score: 3015.8532, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.8702, predictive_accuracy: 0.8702, prior_entropy: 3.3188, recall: 0.8702, relative_absolute_error: 0.171, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.1397, root_relative_squared_error: 0.4656, scimark_benchmark: 924.6116, usercpu_time_millis: 490440, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 490430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.8615, kappa: 0.8461, kb_relative_information_score: 2946.9633, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.8617, predictive_accuracy: 0.8616, prior_entropy: 3.3188, recall: 0.8616, relative_absolute_error: 0.2085, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.1439, root_relative_squared_error: 0.4797, scimark_benchmark: 924.6116, usercpu_time_millis: 235850, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 235830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.8392, kappa: 0.8217, kb_relative_information_score: 2837.9146, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.8392, predictive_accuracy: 0.8397, prior_entropy: 3.3188, recall: 0.8397, relative_absolute_error: 0.2625, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.153, root_relative_squared_error: 0.51, scimark_benchmark: 902.4773, usercpu_time_millis: 122940, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 122920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.7887, kappa: 0.7666, kb_relative_information_score: 2617.8095, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.7886, predictive_accuracy: 0.7901, prior_entropy: 3.3188, recall: 0.7901, relative_absolute_error: 0.354, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.5742, scimark_benchmark: 929.566, usercpu_time_millis: 63050, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 63040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4971, f_measure: 0.022, kb_relative_information_score: 0.724, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.0122, predictive_accuracy: 0.1104, prior_entropy: 3.3188, recall: 0.1104, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.2999, root_relative_squared_error: 1, scimark_benchmark: 932.3943, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.8808, kappa: 0.8686, kb_relative_information_score: 2636.9576, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.8817, predictive_accuracy: 0.8818, prior_entropy: 3.3188, recall: 0.8818, relative_absolute_error: 0.3918, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.5389, scimark_benchmark: 902.4773, usercpu_time_millis: 1090, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9216, f_measure: 0.6305, kappa: 0.5916, kb_relative_information_score: 2042.1422, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.631, predictive_accuracy: 0.6326, prior_entropy: 3.3188, recall: 0.6326, relative_absolute_error: 0.5457, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.7497, scimark_benchmark: 929.566, usercpu_time_millis: 9600, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 9570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.7887, kappa: 0.7666, kb_relative_information_score: 2617.8095, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.7886, predictive_accuracy: 0.7901, prior_entropy: 3.3188, recall: 0.7901, relative_absolute_error: 0.354, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.5742, scimark_benchmark: 943.6956, usercpu_time_millis: 60800, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.022, kb_relative_information_score: 226.7469, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.0122, predictive_accuracy: 0.1104, prior_entropy: 3.3188, recall: 0.1104, relative_absolute_error: 0.9889, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.4218, root_relative_squared_error: 1.4063, scimark_benchmark: 947.9494, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9057, kappa: 0.8952, kb_relative_information_score: 2856.6166, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.9061, predictive_accuracy: 0.9057, prior_entropy: 3.3188, recall: 0.9057, relative_absolute_error: 0.2976, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.4582, scimark_benchmark: 929.0255, usercpu_time_millis: 187860, usercpu_time_millis_testing: 550, usercpu_time_millis_training: 187310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.8385, kappa: 0.8208, kb_relative_information_score: 2664.0755, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.8392, predictive_accuracy: 0.8388, prior_entropy: 3.3188, recall: 0.8388, relative_absolute_error: 0.3562, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.5432, scimark_benchmark: 947.9494, usercpu_time_millis: 5338240, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 5337990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, f_measure: 0.3255, kappa: 0.3222, kb_relative_information_score: 477.8413, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.3649, predictive_accuracy: 0.3933, prior_entropy: 3.3188, recall: 0.3933, relative_absolute_error: 0.9547, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.9607, scimark_benchmark: 917.7039, usercpu_time_millis: 500, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9215, kappa: 0.9128, kb_relative_information_score: 3208.2277, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.9229, predictive_accuracy: 0.9216, prior_entropy: 3.3188, recall: 0.9216, relative_absolute_error: 0.103, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.108, root_relative_squared_error: 0.36, scimark_benchmark: 941.8057, usercpu_time_millis: 2614760, usercpu_time_millis_testing: 2614710, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.936, kappa: 0.9288, kb_relative_information_score: 3234.8959, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.9365, predictive_accuracy: 0.936, prior_entropy: 3.3188, recall: 0.936, relative_absolute_error: 0.0721, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.1121, root_relative_squared_error: 0.3739, scimark_benchmark: 889.9795, usercpu_time_millis: 873020, usercpu_time_millis_testing: 980, usercpu_time_millis_training: 872040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9388, kappa: 0.932, kb_relative_information_score: 3244.8563, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.9393, predictive_accuracy: 0.9389, prior_entropy: 3.3188, recall: 0.9389, relative_absolute_error: 0.0685, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.1102, root_relative_squared_error: 0.3673, scimark_benchmark: 915.2795, usercpu_time_millis: 1726910, usercpu_time_millis_testing: 2450, usercpu_time_millis_training: 1724460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.935, kappa: 0.9279, kb_relative_information_score: 1019.4132, mean_absolute_error: 0.1605, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.9353, predictive_accuracy: 0.9351, prior_entropy: 3.3188, recall: 0.9351, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.273, root_relative_squared_error: 0.9102, scimark_benchmark: 933.1776, usercpu_time_millis: 177930, usercpu_time_millis_testing: 156490, usercpu_time_millis_training: 21440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, build_cpu_time: 209238.6976, build_memory: 271004106.699, f_measure: 0.8846, kappa: 0.8718, kb_relative_information_score: 3047.5197, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.8849, predictive_accuracy: 0.8847, prior_entropy: 3.3188, recall: 0.8847, relative_absolute_error: 0.1282, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.1515, root_relative_squared_error: 0.5051, scimark_benchmark: 924.2934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, build_cpu_time: 9.9082, build_memory: 762163088.7082, f_measure: 0.8881, kappa: 0.8763, kb_relative_information_score: 1002.055, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.8885, predictive_accuracy: 0.8887, prior_entropy: 3.3188, recall: 0.8887, relative_absolute_error: 0.8945, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.2732, root_relative_squared_error: 0.9109, scimark_benchmark: 943.0278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, build_cpu_time: 9.0101, build_memory: 1317747502.2907, f_measure: 0.8881, kappa: 0.8763, kb_relative_information_score: 1002.055, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.8885, predictive_accuracy: 0.8887, prior_entropy: 3.3188, recall: 0.8887, relative_absolute_error: 0.8945, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.2732, root_relative_squared_error: 0.9109, scimark_benchmark: 918.9027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, build_cpu_time: 423.3743, build_memory: 492580255.8524, f_measure: 0.9357, kappa: 0.9285, kb_relative_information_score: 3245.561, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.9358, predictive_accuracy: 0.9357, prior_entropy: 3.3188, recall: 0.9357, relative_absolute_error: 0.071, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.108, root_relative_squared_error: 0.36, scimark_benchmark: 926.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, build_cpu_time: 9.3359, build_memory: 635855039.8408, f_measure: 0.8881, kappa: 0.8763, kb_relative_information_score: 1002.055, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.8885, predictive_accuracy: 0.8887, prior_entropy: 3.3188, recall: 0.8887, relative_absolute_error: 0.8945, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.2732, root_relative_squared_error: 0.9109, scimark_benchmark: 920.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, build_cpu_time: 228.8471, build_memory: 496815737.3379, f_measure: 0.9302, kappa: 0.9224, kb_relative_information_score: 3227.0159, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.9304, predictive_accuracy: 0.9302, prior_entropy: 3.3188, recall: 0.9302, relative_absolute_error: 0.0786, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.1108, root_relative_squared_error: 0.3695, scimark_benchmark: 941.8181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, build_cpu_time: 134.3506, build_memory: 1485641685.6286, f_measure: 0.9265, kappa: 0.9183, kb_relative_information_score: 3210.599, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.9268, predictive_accuracy: 0.9265, prior_entropy: 3.3188, recall: 0.9265, relative_absolute_error: 0.0878, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.1117, root_relative_squared_error: 0.3724, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, build_cpu_time: 9.4278, build_memory: 1397408450.4291, f_measure: 0.8881, kappa: 0.8763, kb_relative_information_score: 1002.055, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.8885, predictive_accuracy: 0.8887, prior_entropy: 3.3188, recall: 0.8887, relative_absolute_error: 0.8945, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.2732, root_relative_squared_error: 0.9109, scimark_benchmark: 941.7891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, build_cpu_time: 59.4454, build_memory: 708066783.6102, f_measure: 0.9077, kappa: 0.8974, kb_relative_information_score: 3141.8871, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.9081, predictive_accuracy: 0.9077, prior_entropy: 3.3188, recall: 0.9077, relative_absolute_error: 0.1177, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.1199, root_relative_squared_error: 0.3998, scimark_benchmark: 874.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, build_cpu_time: 25.8852, build_memory: 672317897.6309, f_measure: 0.8839, kappa: 0.8711, kb_relative_information_score: 2995.7139, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.8842, predictive_accuracy: 0.8841, prior_entropy: 3.3188, recall: 0.8841, relative_absolute_error: 0.1845, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.1329, root_relative_squared_error: 0.4431, scimark_benchmark: 943.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, build_cpu_time: 0.1203, build_memory: 667533381.9723, f_measure: 0.641, kappa: 0.6018, kb_relative_information_score: 2159.7731, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.6412, predictive_accuracy: 0.6419, prior_entropy: 3.3188, recall: 0.6419, relative_absolute_error: 0.3981, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.2676, root_relative_squared_error: 0.8923, scimark_benchmark: 923.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, build_cpu_time: 0.1165, build_memory: 199271143.7047, f_measure: 0.641, kappa: 0.6018, kb_relative_information_score: 2159.7731, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.6412, predictive_accuracy: 0.6419, prior_entropy: 3.3188, recall: 0.6419, relative_absolute_error: 0.3981, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.2676, root_relative_squared_error: 0.8923, scimark_benchmark: 947.5446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, build_cpu_time: 0.1256, build_memory: 2076680627.8132, f_measure: 0.641, kappa: 0.6018, kb_relative_information_score: 2159.7731, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.6412, predictive_accuracy: 0.6419, prior_entropy: 3.3188, recall: 0.6419, relative_absolute_error: 0.3981, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.2676, root_relative_squared_error: 0.8923, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, build_cpu_time: 0.1396, build_memory: 2555776583.7532, f_measure: 0.641, kappa: 0.6018, kb_relative_information_score: 2159.7731, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.6412, predictive_accuracy: 0.6419, prior_entropy: 3.3188, recall: 0.6419, relative_absolute_error: 0.3981, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.2676, root_relative_squared_error: 0.8923, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, build_cpu_time: 0.1048, build_memory: 1546457300.3945, f_measure: 0.641, kappa: 0.6018, kb_relative_information_score: 2159.7731, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.6412, predictive_accuracy: 0.6419, prior_entropy: 3.3188, recall: 0.6419, relative_absolute_error: 0.3981, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.2676, root_relative_squared_error: 0.8923, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, build_cpu_time: 5.7272, build_memory: 631423053.6632, f_measure: 0.9257, kappa: 0.9176, kb_relative_information_score: 2595.7322, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.9259, predictive_accuracy: 0.9259, prior_entropy: 3.3188, recall: 0.9259, relative_absolute_error: 0.4301, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.1576, root_relative_squared_error: 0.5256, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, build_cpu_time: 21859.8336, build_memory: 544967223.3587, f_measure: 0.6468, kappa: 0.6119, kb_relative_information_score: 1194.6965, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.679, predictive_accuracy: 0.6517, prior_entropy: 3.3188, recall: 0.6517, relative_absolute_error: 0.8348, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.2565, root_relative_squared_error: 0.8554, scimark_benchmark: 939.4403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, build_cpu_time: 5.8059, build_memory: 2956385529.3702, f_measure: 0.9257, kappa: 0.9176, kb_relative_information_score: 2595.7322, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.9259, predictive_accuracy: 0.9259, prior_entropy: 3.3188, recall: 0.9259, relative_absolute_error: 0.4301, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.1576, root_relative_squared_error: 0.5256, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, build_cpu_time: 5.6982, build_memory: 691212874.2491, f_measure: 0.9257, kappa: 0.9176, kb_relative_information_score: 2595.7322, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.9259, predictive_accuracy: 0.9259, prior_entropy: 3.3188, recall: 0.9259, relative_absolute_error: 0.4301, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.1576, root_relative_squared_error: 0.5256, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, build_cpu_time: 25619.736, build_memory: 446947794.3806, f_measure: 0.6496, kappa: 0.6148, kb_relative_information_score: 1206.3488, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.6806, predictive_accuracy: 0.6543, prior_entropy: 3.3188, recall: 0.6543, relative_absolute_error: 0.8315, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.2559, root_relative_squared_error: 0.8532, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, build_cpu_time: 5.8081, build_memory: 1529948107.5686, f_measure: 0.9257, kappa: 0.9176, kb_relative_information_score: 2595.7322, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.9259, predictive_accuracy: 0.9259, prior_entropy: 3.3188, recall: 0.9259, relative_absolute_error: 0.4301, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.1576, root_relative_squared_error: 0.5256, scimark_benchmark: 940.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, build_cpu_time: 5.7701, build_memory: 553792306.4152, f_measure: 0.9257, kappa: 0.9176, kb_relative_information_score: 2595.7322, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.9259, predictive_accuracy: 0.9259, prior_entropy: 3.3188, recall: 0.9259, relative_absolute_error: 0.4301, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.1576, root_relative_squared_error: 0.5256, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5685, build_cpu_time: 0.4425, build_memory: 950698892.0692, f_measure: 0.1594, kappa: 0.1366, kb_relative_information_score: 646.2141, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.1542, predictive_accuracy: 0.2261, prior_entropy: 3.3188, recall: 0.2261, relative_absolute_error: 0.8603, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.3934, root_relative_squared_error: 1.3118, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5685, build_cpu_time: 0.4581, build_memory: 1281390728.8051, f_measure: 0.1594, kappa: 0.1366, kb_relative_information_score: 646.2141, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.1542, predictive_accuracy: 0.2261, prior_entropy: 3.3188, recall: 0.2261, relative_absolute_error: 0.8603, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.3934, root_relative_squared_error: 1.3118, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5685, build_cpu_time: 0.4151, build_memory: 762324859.2595, f_measure: 0.1594, kappa: 0.1366, kb_relative_information_score: 646.2141, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.1542, predictive_accuracy: 0.2261, prior_entropy: 3.3188, recall: 0.2261, relative_absolute_error: 0.8603, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.3934, root_relative_squared_error: 1.3118, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5685, build_cpu_time: 0.3933, build_memory: 1477473292.3322, f_measure: 0.1594, kappa: 0.1366, kb_relative_information_score: 646.2141, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.1542, predictive_accuracy: 0.2261, prior_entropy: 3.3188, recall: 0.2261, relative_absolute_error: 0.8603, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.3934, root_relative_squared_error: 1.3118, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5685, build_cpu_time: 0.3948, build_memory: 491762817.9377, f_measure: 0.1594, kappa: 0.1366, kb_relative_information_score: 646.2141, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.1542, predictive_accuracy: 0.2261, prior_entropy: 3.3188, recall: 0.2261, relative_absolute_error: 0.8603, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.3934, root_relative_squared_error: 1.3118, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, build_cpu_time: 47.1311, build_memory: 1672515945.2803, f_measure: 0.7139, kappa: 0.6846, kb_relative_information_score: 1105.2964, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.7404, predictive_accuracy: 0.7166, prior_entropy: 3.3188, recall: 0.7166, relative_absolute_error: 0.8592, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.8711, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, build_cpu_time: 46.9086, build_memory: 999853410.9458, f_measure: 0.7139, kappa: 0.6846, kb_relative_information_score: 1105.2964, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.7404, predictive_accuracy: 0.7166, prior_entropy: 3.3188, recall: 0.7166, relative_absolute_error: 0.8592, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.8711, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, build_cpu_time: 44.2018, build_memory: 920618930.4983, f_measure: 0.7139, kappa: 0.6846, kb_relative_information_score: 1105.2964, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.7404, predictive_accuracy: 0.7166, prior_entropy: 3.3188, recall: 0.7166, relative_absolute_error: 0.8592, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.8711, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, build_cpu_time: 47.7961, build_memory: 1192675215.1949, f_measure: 0.7139, kappa: 0.6846, kb_relative_information_score: 1105.2964, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.7404, predictive_accuracy: 0.7166, prior_entropy: 3.3188, recall: 0.7166, relative_absolute_error: 0.8592, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.8711, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, build_cpu_time: 48.8914, build_memory: 258053045.2388, f_measure: 0.7139, kappa: 0.6846, kb_relative_information_score: 1105.2964, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.7404, predictive_accuracy: 0.7166, prior_entropy: 3.3188, recall: 0.7166, relative_absolute_error: 0.8592, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.8711, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, build_cpu_time: 109452.3063, build_memory: 483781590.0438, f_measure: 0.8821, kappa: 0.8689, kb_relative_information_score: 3039.9164, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.8824, predictive_accuracy: 0.8821, prior_entropy: 3.3188, recall: 0.8821, relative_absolute_error: 0.1311, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.1524, root_relative_squared_error: 0.508, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, build_cpu_time: 24958.4016, build_memory: 867782448.323, f_measure: 0.6496, kappa: 0.6148, kb_relative_information_score: 1206.3488, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.6806, predictive_accuracy: 0.6543, prior_entropy: 3.3188, recall: 0.6543, relative_absolute_error: 0.8315, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.2559, root_relative_squared_error: 0.8532, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, build_cpu_time: 25116.0097, build_memory: 964827530.7405, f_measure: 0.6496, kappa: 0.6148, kb_relative_information_score: 1206.3488, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.6806, predictive_accuracy: 0.6543, prior_entropy: 3.3188, recall: 0.6543, relative_absolute_error: 0.8315, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.2559, root_relative_squared_error: 0.8532, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, build_cpu_time: 26416.0534, build_memory: 589651730.902, f_measure: 0.6496, kappa: 0.6148, kb_relative_information_score: 1206.3488, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.6806, predictive_accuracy: 0.6543, prior_entropy: 3.3188, recall: 0.6543, relative_absolute_error: 0.8315, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.2559, root_relative_squared_error: 0.8532, scimark_benchmark: 919.0358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, build_cpu_time: 50794.4941, build_memory: 485999621.0704, f_measure: 0.8788, kappa: 0.8654, kb_relative_information_score: 3031.5023, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.879, predictive_accuracy: 0.8789, prior_entropy: 3.3188, recall: 0.8789, relative_absolute_error: 0.1341, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.1537, root_relative_squared_error: 0.5123, scimark_benchmark: 888.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, build_cpu_time: 24616.1287, build_memory: 467239333.9815, f_measure: 0.8803, kappa: 0.867, kb_relative_information_score: 3044.0149, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.8805, predictive_accuracy: 0.8803, prior_entropy: 3.3188, recall: 0.8803, relative_absolute_error: 0.1328, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.1506, root_relative_squared_error: 0.502, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, build_cpu_time: 7872.7097, build_memory: 825226137.5409, f_measure: 0.9221, kappa: 0.9131, kb_relative_information_score: 3183.2909, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.9232, predictive_accuracy: 0.9219, prior_entropy: 3.3188, recall: 0.9219, relative_absolute_error: 0.0874, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.1242, root_relative_squared_error: 0.4141, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, build_cpu_time: 1007.3932, build_memory: 462805435.1488, f_measure: 0.7371, kappa: 0.7113, kb_relative_information_score: 1460.7549, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.7381, predictive_accuracy: 0.7405, prior_entropy: 3.3188, recall: 0.7405, relative_absolute_error: 0.7784, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.2399, root_relative_squared_error: 0.7999, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, build_cpu_time: 1073.4731, build_memory: 1625142395.6378, f_measure: 0.738, kappa: 0.7123, kb_relative_information_score: 1464.3544, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.7388, predictive_accuracy: 0.7413, prior_entropy: 3.3188, recall: 0.7413, relative_absolute_error: 0.7775, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.2397, root_relative_squared_error: 0.7992, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, build_cpu_time: 4583.8004, build_memory: 1500702137.1257, f_measure: 0.917, kappa: 0.9077, kb_relative_information_score: 3172.6798, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.9178, predictive_accuracy: 0.917, prior_entropy: 3.3188, recall: 0.917, relative_absolute_error: 0.0916, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.4206, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, build_cpu_time: 1103.3273, build_memory: 475011570.06, f_measure: 0.738, kappa: 0.7123, kb_relative_information_score: 1464.3544, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.7388, predictive_accuracy: 0.7413, prior_entropy: 3.3188, recall: 0.7413, relative_absolute_error: 0.7775, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.2397, root_relative_squared_error: 0.7992, scimark_benchmark: 933.1799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, build_cpu_time: 1074.4649, build_memory: 530156281.7785, f_measure: 0.738, kappa: 0.7123, kb_relative_information_score: 1464.3544, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.7388, predictive_accuracy: 0.7413, prior_entropy: 3.3188, recall: 0.7413, relative_absolute_error: 0.7775, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.2397, root_relative_squared_error: 0.7992, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, build_cpu_time: 1085.8982, build_memory: 1412976220.0231, f_measure: 0.738, kappa: 0.7123, kb_relative_information_score: 1464.3544, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.7388, predictive_accuracy: 0.7413, prior_entropy: 3.3188, recall: 0.7413, relative_absolute_error: 0.7775, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.2397, root_relative_squared_error: 0.7992, scimark_benchmark: 937.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, build_cpu_time: 2096.4459, build_memory: 195051948.5375, f_measure: 0.9154, kappa: 0.9057, kb_relative_information_score: 3163.2318, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.9165, predictive_accuracy: 0.9152, prior_entropy: 3.3188, recall: 0.9152, relative_absolute_error: 0.0952, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.127, root_relative_squared_error: 0.4234, scimark_benchmark: 919.5971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, build_cpu_time: 994.3847, build_memory: 882618770.4775, f_measure: 0.8999, kappa: 0.8884, kb_relative_information_score: 3114.4199, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.9011, predictive_accuracy: 0.8997, prior_entropy: 3.3188, recall: 0.8997, relative_absolute_error: 0.1124, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.1347, root_relative_squared_error: 0.449, scimark_benchmark: 942.0692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, build_cpu_time: 1459.0582, build_memory: 964126142.489, f_measure: 0.9388, kappa: 0.932, kb_relative_information_score: 3244.8563, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.9393, predictive_accuracy: 0.9389, prior_entropy: 3.3188, recall: 0.9389, relative_absolute_error: 0.0685, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.1102, root_relative_squared_error: 0.3673, scimark_benchmark: 907.4175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, build_cpu_time: 501.0073, build_memory: 860642436.4152, f_measure: 0.8801, kappa: 0.866, kb_relative_information_score: 3049.6194, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.8823, predictive_accuracy: 0.8795, prior_entropy: 3.3188, recall: 0.8795, relative_absolute_error: 0.14, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.4731, scimark_benchmark: 945.0554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, build_cpu_time: 814.9804, build_memory: 863169466.2884, f_measure: 0.936, kappa: 0.9288, kb_relative_information_score: 3234.8959, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.9365, predictive_accuracy: 0.936, prior_entropy: 3.3188, recall: 0.936, relative_absolute_error: 0.0721, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.1121, root_relative_squared_error: 0.3739, scimark_benchmark: 914.1182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, build_cpu_time: 373.1515, build_memory: 848162015.7601, f_measure: 0.9267, kappa: 0.9186, kb_relative_information_score: 3203.3361, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.9274, predictive_accuracy: 0.9268, prior_entropy: 3.3188, recall: 0.9268, relative_absolute_error: 0.0823, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.3959, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, build_cpu_time: 189.9112, build_memory: 556677299.4095, f_measure: 0.917, kappa: 0.9077, kb_relative_information_score: 3172.5021, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.9176, predictive_accuracy: 0.917, prior_entropy: 3.3188, recall: 0.917, relative_absolute_error: 0.0938, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.1239, root_relative_squared_error: 0.4131, scimark_benchmark: 937.5625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, build_cpu_time: 48.7243, build_memory: 202340824.3137, f_measure: 0.9218, kappa: 0.9131, kb_relative_information_score: 3177.6882, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.1799, number_of_instances: 3468, precision: 0.9232, predictive_accuracy: 0.9219, prior_entropy: 3.3188, recall: 0.9219, relative_absolute_error: 0.0898, root_mean_prior_squared_error: 0.2999, root_mean_squared_error: 0.1248, root_relative_squared_error: 0.4162, scimark_benchmark: 939.6298,

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