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 waveform-5000

Supervised Classification on waveform-5000

Task 58 Supervised Classification waveform-5000 14815 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • at2 basic OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_70 study_73 under100k under1m
Issue #Downvotes for this reason By


Metric:

14815 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail run
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, f_measure: 0.7763, kappa: 0.6646, kb_relative_information_score: 3206.0951, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7763, predictive_accuracy: 0.7764, prior_entropy: 1.5849, recall: 0.7764, relative_absolute_error: 0.4071, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3279, root_relative_squared_error: 0.6956, scimark_benchmark: 1363.454, usercpu_time_millis: 12550, usercpu_time_millis_testing: 12550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8506, kappa: 0.7797, kb_relative_information_score: 2693.7367, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8638, predictive_accuracy: 0.853, prior_entropy: 1.5849, recall: 0.853, relative_absolute_error: 0.5736, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.6932, scimark_benchmark: 1297.6599, usercpu_time_millis: 50100, usercpu_time_millis_testing: 17870, usercpu_time_millis_training: 32230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.8641, kappa: 0.7966, kb_relative_information_score: 2728.467, mean_absolute_error: 0.2524, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8648, predictive_accuracy: 0.8644, prior_entropy: 1.5849, recall: 0.8644, relative_absolute_error: 0.5679, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.685, scimark_benchmark: 894.7222, usercpu_time_millis: 460, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.87, kappa: 0.8053, kb_relative_information_score: 3771.5143, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8703, predictive_accuracy: 0.8702, prior_entropy: 1.5849, recall: 0.8702, relative_absolute_error: 0.2999, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2512, root_relative_squared_error: 0.5329, scimark_benchmark: 944.0517, usercpu_time_millis: 2630, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.8687, kappa: 0.8032, kb_relative_information_score: 4102.2941, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8688, predictive_accuracy: 0.8688, prior_entropy: 1.5849, recall: 0.8688, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.6274, scimark_benchmark: 1250.8301, usercpu_time_millis: 2570, usercpu_time_millis_training: 2570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.7887, kappa: 0.7011, kb_relative_information_score: 3622.4864, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8331, predictive_accuracy: 0.8004, prior_entropy: 1.5849, recall: 0.8004, relative_absolute_error: 0.3067, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.71, scimark_benchmark: 1337.7959, usercpu_time_millis: 130, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.791, kappa: 0.6872, kb_relative_information_score: 3418.1587, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7916, predictive_accuracy: 0.7914, prior_entropy: 1.5849, recall: 0.7914, relative_absolute_error: 0.3624, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.322, root_relative_squared_error: 0.6831, scimark_benchmark: 1346.9602, usercpu_time_millis: 17060, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 16820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.8503, kappa: 0.7763, kb_relative_information_score: 3299.2564, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8515, predictive_accuracy: 0.8508, prior_entropy: 1.5849, recall: 0.8508, relative_absolute_error: 0.4266, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.5854, scimark_benchmark: 1298.285, usercpu_time_millis: 4280, usercpu_time_millis_testing: 790, usercpu_time_millis_training: 3490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7946, f_measure: 0.726, kappa: 0.5893, kb_relative_information_score: 3126.3248, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.726, predictive_accuracy: 0.7262, prior_entropy: 1.5849, recall: 0.7262, relative_absolute_error: 0.4107, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.9063, scimark_benchmark: 1315.3881, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.7711, kappa: 0.6575, kb_relative_information_score: 3140.461, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7716, predictive_accuracy: 0.7716, prior_entropy: 1.5849, recall: 0.7716, relative_absolute_error: 0.4343, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.7209, scimark_benchmark: 1066.7184, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.7666, kappa: 0.6506, kb_relative_information_score: 3090.2109, mean_absolute_error: 0.1979, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7669, predictive_accuracy: 0.767, prior_entropy: 1.5849, recall: 0.767, relative_absolute_error: 0.4454, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.7387, scimark_benchmark: 1327.6929, usercpu_time_millis: 2470, usercpu_time_millis_training: 2470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8031, f_measure: 0.7358, kappa: 0.6069, kb_relative_information_score: 3206.191, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.767, predictive_accuracy: 0.7384, prior_entropy: 1.5849, recall: 0.7384, relative_absolute_error: 0.3924, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4176, root_relative_squared_error: 0.8859, scimark_benchmark: 1294.7826, usercpu_time_millis: 77160, usercpu_time_millis_testing: 43560, usercpu_time_millis_training: 33600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1711, kb_relative_information_score: 459.3327, mean_absolute_error: 0.4411, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.1145, predictive_accuracy: 0.3384, prior_entropy: 1.5849, recall: 0.3384, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6641, root_relative_squared_error: 1.4089, scimark_benchmark: 1368.9272, usercpu_time_millis: 11240, usercpu_time_millis_testing: 2220, usercpu_time_millis_training: 9020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.882, f_measure: 0.7822, kappa: 0.6733, kb_relative_information_score: 3466.3968, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7824, predictive_accuracy: 0.7822, prior_entropy: 1.5849, recall: 0.7822, relative_absolute_error: 0.3456, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3501, root_relative_squared_error: 0.7427, scimark_benchmark: 1465.2979, usercpu_time_millis: 2510, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6503, f_measure: 0.5177, kappa: 0.3013, kb_relative_information_score: 1812.7136, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.5124, predictive_accuracy: 0.5338, prior_entropy: 1.5849, recall: 0.5338, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5575, root_relative_squared_error: 1.1827, scimark_benchmark: 1465.2979, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.836, kappa: 0.7543, kb_relative_information_score: 3851.394, mean_absolute_error: 0.1138, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8363, predictive_accuracy: 0.8362, prior_entropy: 1.5849, recall: 0.8362, relative_absolute_error: 0.2561, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3063, root_relative_squared_error: 0.6499, scimark_benchmark: 889.9795, usercpu_time_millis: 365960, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 365600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.7793, kappa: 0.673, kb_relative_information_score: 3508.5569, mean_absolute_error: 0.1455, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.79, predictive_accuracy: 0.7818, prior_entropy: 1.5849, recall: 0.7818, relative_absolute_error: 0.3273, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3814, root_relative_squared_error: 0.8091, scimark_benchmark: 977.6382, usercpu_time_millis: 3600, usercpu_time_millis_training: 3600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.1711, kb_relative_information_score: 0.311, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.1145, predictive_accuracy: 0.3384, prior_entropy: 1.5849, recall: 0.3384, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8196, f_measure: 0.7436, kappa: 0.6154, kb_relative_information_score: 3225.9603, mean_absolute_error: 0.1741, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7436, predictive_accuracy: 0.7436, prior_entropy: 1.5849, recall: 0.7436, relative_absolute_error: 0.3917, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.8511, scimark_benchmark: 1066.833, usercpu_time_millis: 480, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, f_measure: 0.789, kappa: 0.7014, kb_relative_information_score: 3639.0013, mean_absolute_error: 0.1331, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8342, predictive_accuracy: 0.8006, prior_entropy: 1.5849, recall: 0.8006, relative_absolute_error: 0.2994, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.7656, scimark_benchmark: 945.6434, usercpu_time_millis: 3580, usercpu_time_millis_testing: 1150, usercpu_time_millis_training: 2430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.7905, kappa: 0.7029, kb_relative_information_score: 3630.4349, mean_absolute_error: 0.1347, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8345, predictive_accuracy: 0.8016, prior_entropy: 1.5849, recall: 0.8016, relative_absolute_error: 0.303, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.756, scimark_benchmark: 945.6434, usercpu_time_millis: 8580, usercpu_time_millis_testing: 2830, usercpu_time_millis_training: 5750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.788, kappa: 0.7002, kb_relative_information_score: 3168.5347, mean_absolute_error: 0.1952, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8337, predictive_accuracy: 0.7998, prior_entropy: 1.5849, recall: 0.7998, relative_absolute_error: 0.4393, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.6897, scimark_benchmark: 926.6717, usercpu_time_millis: 15320, usercpu_time_millis_testing: 4660, usercpu_time_millis_training: 10660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.7877, kappa: 0.6999, kb_relative_information_score: 3078.7567, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8336, predictive_accuracy: 0.7996, prior_entropy: 1.5849, recall: 0.7996, relative_absolute_error: 0.4664, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.6797, scimark_benchmark: 911.0478, usercpu_time_millis: 6520, usercpu_time_millis_testing: 1860, usercpu_time_millis_training: 4660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.7877, kappa: 0.6999, kb_relative_information_score: 3078.7567, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8336, predictive_accuracy: 0.7996, prior_entropy: 1.5849, recall: 0.7996, relative_absolute_error: 0.4664, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.6797, scimark_benchmark: 939.7623, usercpu_time_millis: 6240, usercpu_time_millis_testing: 1800, usercpu_time_millis_training: 4440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.6558, kappa: 0.5238, kb_relative_information_score: 1151.6093, mean_absolute_error: 0.3771, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7232, predictive_accuracy: 0.6818, prior_entropy: 1.5849, recall: 0.6818, relative_absolute_error: 0.8486, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8711, scimark_benchmark: 942.1229, usercpu_time_millis: 500, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.6558, kappa: 0.5238, kb_relative_information_score: 1151.6093, mean_absolute_error: 0.3771, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7232, predictive_accuracy: 0.6818, prior_entropy: 1.5849, recall: 0.6818, relative_absolute_error: 0.8486, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8711, scimark_benchmark: 936.6206, usercpu_time_millis: 670, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.6384, kappa: 0.5068, kb_relative_information_score: 1301.8565, mean_absolute_error: 0.3644, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7198, predictive_accuracy: 0.6704, prior_entropy: 1.5849, recall: 0.6704, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.8575, scimark_benchmark: 922.9039, usercpu_time_millis: 420, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.5815, kappa: 0.4583, kb_relative_information_score: 1687.8449, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7171, predictive_accuracy: 0.6378, prior_entropy: 1.5849, recall: 0.6378, relative_absolute_error: 0.7424, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.398, root_relative_squared_error: 0.8443, scimark_benchmark: 939.7623, usercpu_time_millis: 1250, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, f_measure: 0.5107, kappa: 0.3913, kb_relative_information_score: 1625.8063, mean_absolute_error: 0.3364, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.6341, predictive_accuracy: 0.5928, prior_entropy: 1.5849, recall: 0.5928, relative_absolute_error: 0.757, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4048, root_relative_squared_error: 0.8586, scimark_benchmark: 933.8635, usercpu_time_millis: 660, usercpu_time_millis_training: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.8488, kappa: 0.7735, kb_relative_information_score: 3788.4064, mean_absolute_error: 0.1268, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8489, predictive_accuracy: 0.849, prior_entropy: 1.5849, recall: 0.849, relative_absolute_error: 0.2852, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2668, root_relative_squared_error: 0.5661, scimark_benchmark: 902.4773, usercpu_time_millis: 12940, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 12930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, f_measure: 0.848, kappa: 0.7723, kb_relative_information_score: 3749.1259, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8481, predictive_accuracy: 0.8482, prior_entropy: 1.5849, recall: 0.8482, relative_absolute_error: 0.2966, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2666, root_relative_squared_error: 0.5655, scimark_benchmark: 910.8389, usercpu_time_millis: 6110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 6100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.8435, kappa: 0.7654, kb_relative_information_score: 3669.3983, mean_absolute_error: 0.1409, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8435, predictive_accuracy: 0.8436, prior_entropy: 1.5849, recall: 0.8436, relative_absolute_error: 0.3169, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2702, root_relative_squared_error: 0.5731, scimark_benchmark: 940.2922, usercpu_time_millis: 3260, usercpu_time_millis_training: 3260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.832, kappa: 0.7483, kb_relative_information_score: 3521.2209, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8323, predictive_accuracy: 0.8322, prior_entropy: 1.5849, recall: 0.8322, relative_absolute_error: 0.355, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2781, root_relative_squared_error: 0.59, scimark_benchmark: 938.9865, usercpu_time_millis: 1310, usercpu_time_millis_training: 1310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.1711, kb_relative_information_score: 0.311, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.1145, predictive_accuracy: 0.3384, prior_entropy: 1.5849, recall: 0.3384, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1, scimark_benchmark: 938.9865, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.8233, kappa: 0.7348, kb_relative_information_score: 3316.4958, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8237, predictive_accuracy: 0.8232, prior_entropy: 1.5849, recall: 0.8232, relative_absolute_error: 0.409, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2903, root_relative_squared_error: 0.6158, scimark_benchmark: 902.4773, usercpu_time_millis: 720, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.8098, kappa: 0.7147, kb_relative_information_score: 3393.2475, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8099, predictive_accuracy: 0.8098, prior_entropy: 1.5849, recall: 0.8098, relative_absolute_error: 0.3794, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.6362, scimark_benchmark: 938.9865, usercpu_time_millis: 330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.832, kappa: 0.7483, kb_relative_information_score: 3521.2209, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8323, predictive_accuracy: 0.8322, prior_entropy: 1.5849, recall: 0.8322, relative_absolute_error: 0.355, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2781, root_relative_squared_error: 0.59, scimark_benchmark: 941.7954, usercpu_time_millis: 1490, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1711, kb_relative_information_score: 459.3327, mean_absolute_error: 0.4411, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.1145, predictive_accuracy: 0.3384, prior_entropy: 1.5849, recall: 0.3384, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6641, root_relative_squared_error: 1.4089, scimark_benchmark: 929.0255, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9225, f_measure: 0.7776, kappa: 0.6667, kb_relative_information_score: 3382.8309, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7776, predictive_accuracy: 0.7778, prior_entropy: 1.5849, recall: 0.7778, relative_absolute_error: 0.3708, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.6821, scimark_benchmark: 930.32, usercpu_time_millis: 1430, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 1330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.807, kappa: 0.7115, kb_relative_information_score: 2758.1072, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8077, predictive_accuracy: 0.8076, prior_entropy: 1.5849, recall: 0.8076, relative_absolute_error: 0.5356, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3191, root_relative_squared_error: 0.6769, scimark_benchmark: 929.566, usercpu_time_millis: 39650, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 39530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.8395, kappa: 0.7597, kb_relative_information_score: 3898.689, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8399, predictive_accuracy: 0.8398, prior_entropy: 1.5849, recall: 0.8398, relative_absolute_error: 0.2421, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3231, root_relative_squared_error: 0.6855, scimark_benchmark: 945.3151, usercpu_time_millis: 40440, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 40150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.8469, kappa: 0.7712, kb_relative_information_score: 3956.2732, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.848, predictive_accuracy: 0.8474, prior_entropy: 1.5849, recall: 0.8474, relative_absolute_error: 0.2291, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.6722, scimark_benchmark: 942.0096, usercpu_time_millis: 85010, usercpu_time_millis_testing: 600, usercpu_time_millis_training: 84410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.8514, kappa: 0.7781, kb_relative_information_score: 3990.3034, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.853, predictive_accuracy: 0.852, prior_entropy: 1.5849, recall: 0.852, relative_absolute_error: 0.2215, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.6629, scimark_benchmark: 1185.6503, usercpu_time_millis: 210440, usercpu_time_millis_testing: 3110, usercpu_time_millis_training: 207330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.8236, kappa: 0.7357, kb_relative_information_score: 3808.4891, mean_absolute_error: 0.1167, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8237, predictive_accuracy: 0.8238, prior_entropy: 1.5849, recall: 0.8238, relative_absolute_error: 0.2626, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.6932, scimark_benchmark: 891.2195, usercpu_time_millis: 48420, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 48380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.8126, kappa: 0.7192, kb_relative_information_score: 3726.9912, mean_absolute_error: 0.1258, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8127, predictive_accuracy: 0.8128, prior_entropy: 1.5849, recall: 0.8128, relative_absolute_error: 0.283, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.6975, scimark_benchmark: 917.1386, usercpu_time_millis: 25460, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 25430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8506, kappa: 0.7797, kb_relative_information_score: 2693.7367, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8638, predictive_accuracy: 0.853, prior_entropy: 1.5849, recall: 0.853, relative_absolute_error: 0.5736, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.6932, scimark_benchmark: 799.2185, usercpu_time_millis: 44250, usercpu_time_millis_testing: 10650, usercpu_time_millis_training: 33600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, build_cpu_time: 4.7336, build_memory: 656992488, f_measure: 0.8641, kappa: 0.7966, kb_relative_information_score: 3654.031, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8648, predictive_accuracy: 0.8644, prior_entropy: 1.5849, recall: 0.8644, relative_absolute_error: 0.3309, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.5854, scimark_benchmark: 945.1987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, build_cpu_time: 4.7001, build_memory: 990752115.2, f_measure: 0.8641, kappa: 0.7966, kb_relative_information_score: 3654.031, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8648, predictive_accuracy: 0.8644, prior_entropy: 1.5849, recall: 0.8644, relative_absolute_error: 0.3309, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.5854, scimark_benchmark: 929.9115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, build_cpu_time: 5.1862, build_memory: 565470124.8, f_measure: 0.8641, kappa: 0.7966, kb_relative_information_score: 3654.031, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8648, predictive_accuracy: 0.8644, prior_entropy: 1.5849, recall: 0.8644, relative_absolute_error: 0.3309, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.5854, scimark_benchmark: 919.6575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, build_cpu_time: 4.9904, build_memory: 784585507.2, f_measure: 0.8641, kappa: 0.7966, kb_relative_information_score: 3654.031, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8648, predictive_accuracy: 0.8644, prior_entropy: 1.5849, recall: 0.8644, relative_absolute_error: 0.3309, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.5854, scimark_benchmark: 926.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, build_cpu_time: 4.8095, build_memory: 253087879.2, f_measure: 0.8641, kappa: 0.7966, kb_relative_information_score: 3654.031, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8648, predictive_accuracy: 0.8644, prior_entropy: 1.5849, recall: 0.8644, relative_absolute_error: 0.3309, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.5854, scimark_benchmark: 945.1987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, build_cpu_time: 2.9029, build_memory: 279098908.8, f_measure: 0.8179, kappa: 0.727, kb_relative_information_score: 3683.7979, mean_absolute_error: 0.1316, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8179, predictive_accuracy: 0.818, prior_entropy: 1.5849, recall: 0.818, relative_absolute_error: 0.2962, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.6781, scimark_benchmark: 941.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, build_cpu_time: 6.5446, build_memory: 877956489.6, f_measure: 0.8205, kappa: 0.7312, kb_relative_information_score: 3759.1824, mean_absolute_error: 0.1224, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8209, predictive_accuracy: 0.8208, prior_entropy: 1.5849, recall: 0.8208, relative_absolute_error: 0.2753, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.6794, scimark_benchmark: 874.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, build_cpu_time: 12.9245, build_memory: 148662316.8, f_measure: 0.8278, kappa: 0.742, kb_relative_information_score: 3825.0647, mean_absolute_error: 0.1153, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8279, predictive_accuracy: 0.828, prior_entropy: 1.5849, recall: 0.828, relative_absolute_error: 0.2593, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.6795, scimark_benchmark: 907.3828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, build_cpu_time: 22.2257, build_memory: 504310212.8, f_measure: 0.8376, kappa: 0.757, kb_relative_information_score: 3885.691, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 1.5849, recall: 0.838, relative_absolute_error: 0.2456, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.6761, scimark_benchmark: 939.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, build_cpu_time: 48.1447, build_memory: 79105728, f_measure: 0.8415, kappa: 0.7627, kb_relative_information_score: 3914.6866, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8419, predictive_accuracy: 0.8418, prior_entropy: 1.5849, recall: 0.8418, relative_absolute_error: 0.2387, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.676, scimark_benchmark: 941.8181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, build_cpu_time: 0.0882, build_memory: 973031394.4, f_measure: 0.7338, kappa: 0.6007, kb_relative_information_score: 3178.0689, mean_absolute_error: 0.1775, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7338, predictive_accuracy: 0.7338, prior_entropy: 1.5849, recall: 0.7338, relative_absolute_error: 0.3993, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4213, root_relative_squared_error: 0.8937, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, build_cpu_time: 0.1069, build_memory: 2254236490.4, f_measure: 0.7338, kappa: 0.6007, kb_relative_information_score: 3178.0689, mean_absolute_error: 0.1775, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7338, predictive_accuracy: 0.7338, prior_entropy: 1.5849, recall: 0.7338, relative_absolute_error: 0.3993, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4213, root_relative_squared_error: 0.8937, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, build_cpu_time: 0.0914, build_memory: 1107158961.6, f_measure: 0.7338, kappa: 0.6007, kb_relative_information_score: 3178.0689, mean_absolute_error: 0.1775, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7338, predictive_accuracy: 0.7338, prior_entropy: 1.5849, recall: 0.7338, relative_absolute_error: 0.3993, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4213, root_relative_squared_error: 0.8937, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, build_cpu_time: 0.062, build_memory: 203313736.8, f_measure: 0.7338, kappa: 0.6007, kb_relative_information_score: 3178.0689, mean_absolute_error: 0.1775, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7338, predictive_accuracy: 0.7338, prior_entropy: 1.5849, recall: 0.7338, relative_absolute_error: 0.3993, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4213, root_relative_squared_error: 0.8937, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, build_cpu_time: 0.0835, build_memory: 541433481.6, f_measure: 0.7338, kappa: 0.6007, kb_relative_information_score: 3178.0689, mean_absolute_error: 0.1775, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7338, predictive_accuracy: 0.7338, prior_entropy: 1.5849, recall: 0.7338, relative_absolute_error: 0.3993, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4213, root_relative_squared_error: 0.8937, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, build_cpu_time: 3.4537, build_memory: 1286494136.8, f_measure: 0.8539, kappa: 0.7817, kb_relative_information_score: 3295.3696, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8554, predictive_accuracy: 0.8544, prior_entropy: 1.5849, recall: 0.8544, relative_absolute_error: 0.4279, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2762, root_relative_squared_error: 0.586, scimark_benchmark: 939.9709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, build_cpu_time: 3.7879, build_memory: 1474732033.6, f_measure: 0.8539, kappa: 0.7817, kb_relative_information_score: 3295.3696, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8554, predictive_accuracy: 0.8544, prior_entropy: 1.5849, recall: 0.8544, relative_absolute_error: 0.4279, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2762, root_relative_squared_error: 0.586, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, build_cpu_time: 3.3431, build_memory: 2272917914.4, f_measure: 0.8539, kappa: 0.7817, kb_relative_information_score: 3295.3696, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8554, predictive_accuracy: 0.8544, prior_entropy: 1.5849, recall: 0.8544, relative_absolute_error: 0.4279, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2762, root_relative_squared_error: 0.586, scimark_benchmark: 872.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, build_cpu_time: 3.7906, build_memory: 1572398794.4, f_measure: 0.8539, kappa: 0.7817, kb_relative_information_score: 3295.3696, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8554, predictive_accuracy: 0.8544, prior_entropy: 1.5849, recall: 0.8544, relative_absolute_error: 0.4279, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2762, root_relative_squared_error: 0.586, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, build_cpu_time: 4.0937, build_memory: 1216185333.6, f_measure: 0.8539, kappa: 0.7817, kb_relative_information_score: 3295.3696, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8554, predictive_accuracy: 0.8544, prior_entropy: 1.5849, recall: 0.8544, relative_absolute_error: 0.4279, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2762, root_relative_squared_error: 0.586, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, build_cpu_time: 6.995, build_memory: 1199666896, f_measure: 0.7651, kappa: 0.6488, kb_relative_information_score: 3337.3436, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7656, predictive_accuracy: 0.7658, prior_entropy: 1.5849, recall: 0.7658, relative_absolute_error: 0.3727, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3558, root_relative_squared_error: 0.7548, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, build_cpu_time: 3.6052, build_memory: 1111832864.8, f_measure: 0.7552, kappa: 0.6341, kb_relative_information_score: 3164.2671, mean_absolute_error: 0.1861, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7555, predictive_accuracy: 0.756, prior_entropy: 1.5849, recall: 0.756, relative_absolute_error: 0.4188, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.7423, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, build_cpu_time: 1.8205, build_memory: 1486873812, f_measure: 0.7258, kappa: 0.5903, kb_relative_information_score: 2816.082, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.726, predictive_accuracy: 0.7268, prior_entropy: 1.5849, recall: 0.7268, relative_absolute_error: 0.5054, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.7532, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8699, build_cpu_time: 0.9131, build_memory: 852528490.4, f_measure: 0.6985, kappa: 0.5495, kb_relative_information_score: 2317.625, mean_absolute_error: 0.2761, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.6984, predictive_accuracy: 0.6996, prior_entropy: 1.5849, recall: 0.6996, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.7817, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, build_cpu_time: 0.4954, build_memory: 323615132, f_measure: 0.6503, kappa: 0.4775, kb_relative_information_score: 1684.4529, mean_absolute_error: 0.3336, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.6499, predictive_accuracy: 0.6516, prior_entropy: 1.5849, recall: 0.6516, relative_absolute_error: 0.7506, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.8364, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, build_cpu_time: 2.5122, build_memory: 1810069107.2, f_measure: 0.7877, kappa: 0.6999, kb_relative_information_score: 3071.0631, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8336, predictive_accuracy: 0.7996, prior_entropy: 1.5849, recall: 0.7996, relative_absolute_error: 0.4684, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.6802, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, build_cpu_time: 3.0626, build_memory: 817911905.6, f_measure: 0.7877, kappa: 0.6999, kb_relative_information_score: 3078.7567, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8336, predictive_accuracy: 0.7996, prior_entropy: 1.5849, recall: 0.7996, relative_absolute_error: 0.4664, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.6797, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, build_cpu_time: 3.3038, build_memory: 828016788, f_measure: 0.7877, kappa: 0.6999, kb_relative_information_score: 3078.7567, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8336, predictive_accuracy: 0.7996, prior_entropy: 1.5849, recall: 0.7996, relative_absolute_error: 0.4664, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.6797, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, build_cpu_time: 3.4028, build_memory: 370092964, f_measure: 0.7877, kappa: 0.6999, kb_relative_information_score: 3078.7567, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8336, predictive_accuracy: 0.7996, prior_entropy: 1.5849, recall: 0.7996, relative_absolute_error: 0.4664, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.6797, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, build_cpu_time: 3.0539, build_memory: 708432542.4, f_measure: 0.7877, kappa: 0.6999, kb_relative_information_score: 3078.7567, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8336, predictive_accuracy: 0.7996, prior_entropy: 1.5849, recall: 0.7996, relative_absolute_error: 0.4664, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.6797, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, build_cpu_time: 1857.7335, build_memory: 53958072, f_measure: 0.7131, kappa: 0.5669, kb_relative_information_score: 1949.2999, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7304, predictive_accuracy: 0.7116, prior_entropy: 1.5849, recall: 0.7116, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.7796, scimark_benchmark: 872.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, build_cpu_time: 2125.7505, build_memory: 729088828.8, f_measure: 0.7131, kappa: 0.5669, kb_relative_information_score: 1949.2999, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7304, predictive_accuracy: 0.7116, prior_entropy: 1.5849, recall: 0.7116, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.7796, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, build_cpu_time: 2041.5333, build_memory: 713312116, f_measure: 0.7131, kappa: 0.5669, kb_relative_information_score: 1949.2999, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7304, predictive_accuracy: 0.7116, prior_entropy: 1.5849, recall: 0.7116, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.7796, scimark_benchmark: 939.8137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, build_cpu_time: 1972.16, build_memory: 31887944, f_measure: 0.7131, kappa: 0.5669, kb_relative_information_score: 1949.2999, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7304, predictive_accuracy: 0.7116, prior_entropy: 1.5849, recall: 0.7116, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.7796, scimark_benchmark: 941.6106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, build_cpu_time: 4187.3441, build_memory: 1272958792, f_measure: 0.8572, kappa: 0.7861, kb_relative_information_score: 4024.4623, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8576, predictive_accuracy: 0.8574, prior_entropy: 1.5849, recall: 0.8574, relative_absolute_error: 0.214, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.307, root_relative_squared_error: 0.6512, scimark_benchmark: 942.0692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, build_cpu_time: 2228.6604, build_memory: 833902325.6, f_measure: 0.854, kappa: 0.7813, kb_relative_information_score: 3998.5139, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8543, predictive_accuracy: 0.8542, prior_entropy: 1.5849, recall: 0.8542, relative_absolute_error: 0.2199, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3101, root_relative_squared_error: 0.6578, scimark_benchmark: 941.4456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9191, build_cpu_time: 1064.3947, build_memory: 158719217.6, f_measure: 0.8488, kappa: 0.7735, kb_relative_information_score: 3970.6033, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.849, predictive_accuracy: 0.849, prior_entropy: 1.5849, recall: 0.849, relative_absolute_error: 0.2259, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.6614, scimark_benchmark: 889.6909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, build_cpu_time: 498.9313, build_memory: 358355166.4, f_measure: 0.8432, kappa: 0.7651, kb_relative_information_score: 3922.033, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8433, predictive_accuracy: 0.8434, prior_entropy: 1.5849, recall: 0.8434, relative_absolute_error: 0.2373, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.6679, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, build_cpu_time: 246.4452, build_memory: 1049250143.2, f_measure: 0.8317, kappa: 0.7477, kb_relative_information_score: 3854.6368, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8317, predictive_accuracy: 0.8318, prior_entropy: 1.5849, recall: 0.8318, relative_absolute_error: 0.2526, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.6731, scimark_benchmark: 924.2473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, build_cpu_time: 36.6227, build_memory: 226055540, f_measure: 0.826, kappa: 0.7393, kb_relative_information_score: 3637.8061, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8261, predictive_accuracy: 0.8262, prior_entropy: 1.5849, recall: 0.8262, relative_absolute_error: 0.3161, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.6147, scimark_benchmark: 937.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, build_cpu_time: 64.7695, build_memory: 292354572.8, f_measure: 0.8355, kappa: 0.7534, kb_relative_information_score: 3751.1856, mean_absolute_error: 0.1275, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8355, predictive_accuracy: 0.8356, prior_entropy: 1.5849, recall: 0.8356, relative_absolute_error: 0.287, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2861, root_relative_squared_error: 0.6069, scimark_benchmark: 937.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, build_cpu_time: 125.5361, build_memory: 865064356, f_measure: 0.8377, kappa: 0.7567, kb_relative_information_score: 3808.1668, mean_absolute_error: 0.1208, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8377, predictive_accuracy: 0.8378, prior_entropy: 1.5849, recall: 0.8378, relative_absolute_error: 0.2719, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2851, root_relative_squared_error: 0.6048, scimark_benchmark: 938.1146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, build_cpu_time: 245.4311, build_memory: 445431452, f_measure: 0.8417, kappa: 0.7627, kb_relative_information_score: 3842.8491, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8417, predictive_accuracy: 0.8418, prior_entropy: 1.5849, recall: 0.8418, relative_absolute_error: 0.263, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2854, root_relative_squared_error: 0.6054, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, build_cpu_time: 477.4126, build_memory: 611756653.6, f_measure: 0.8412, kappa: 0.7621, kb_relative_information_score: 3865.2469, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8414, predictive_accuracy: 0.8414, prior_entropy: 1.5849, recall: 0.8414, relative_absolute_error: 0.2568, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2864, root_relative_squared_error: 0.6076, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, build_cpu_time: 281.1498, build_memory: 557658578.4, f_measure: 0.8487, kappa: 0.7732, kb_relative_information_score: 3961.3881, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8487, predictive_accuracy: 0.8488, prior_entropy: 1.5849, recall: 0.8488, relative_absolute_error: 0.2286, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3076, root_relative_squared_error: 0.6526, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, build_cpu_time: 158.8887, build_memory: 853277080, f_measure: 0.8441, kappa: 0.7663, kb_relative_information_score: 3933.6949, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8441, predictive_accuracy: 0.8442, prior_entropy: 1.5849, recall: 0.8442, relative_absolute_error: 0.2352, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.308, root_relative_squared_error: 0.6533, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, build_cpu_time: 71.5961, build_memory: 723882662.4, f_measure: 0.8381, kappa: 0.7573, kb_relative_information_score: 3886.518, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8381, predictive_accuracy: 0.8382, prior_entropy: 1.5849, recall: 0.8382, relative_absolute_error: 0.2459, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3091, root_relative_squared_error: 0.6556, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, build_cpu_time: 38.6962, build_memory: 105361711.2, f_measure: 0.8315, kappa: 0.7474, kb_relative_information_score: 3823.7829, mean_absolute_error: 0.1162, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8315, predictive_accuracy: 0.8316, prior_entropy: 1.5849, recall: 0.8316, relative_absolute_error: 0.2614, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3103, root_relative_squared_error: 0.6582, scimark_benchmark: 942.0692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, build_cpu_time: 21.5185, build_memory: 1029841001.6, f_measure: 0.826, kappa: 0.7393, kb_relative_information_score: 3762.693, mean_absolute_error: 0.1235, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.826, predictive_accuracy: 0.8262, prior_entropy: 1.5849, recall: 0.8262, relative_absolute_error: 0.2778, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3086, root_relative_squared_error: 0.6547, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, build_cpu_time: 7.2049, build_memory: 397812662.4, f_measure: 0.8089, kappa: 0.7138, kb_relative_information_score: 3701.246, mean_absolute_error: 0.1271, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8091, predictive_accuracy: 0.8092, prior_entropy: 1.5849, recall: 0.8092, relative_absolute_error: 0.286, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.7195, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, build_cpu_time: 14.956, build_memory: 547239735.2, f_measure: 0.8295, kappa: 0.7447, kb_relative_information_score: 3850.0486, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8299, predictive_accuracy: 0.8298, prior_entropy: 1.5849, recall: 0.8298, relative_absolute_error: 0.2526, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6894, scimark_benchmark: 916.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, build_cpu_time: 33.9807, build_memory: 899677026.4, f_measure: 0.8395, kappa: 0.7597, kb_relative_information_score: 3898.689, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8399, predictive_accuracy: 0.8398, prior_entropy: 1.5849, recall: 0.8398, relative_absolute_error: 0.2421, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3231, root_relative_squared_error: 0.6855, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, build_cpu_time: 66.5119, build_memory: 137353332.8, f_measure: 0.8469, kappa: 0.7712, kb_relative_information_score: 3956.2732, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.848, predictive_accuracy: 0.8474, prior_entropy: 1.5849, recall: 0.8474, relative_absolute_error: 0.2291, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.6722, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, build_cpu_time: 129.0273, build_memory: 1131970037.6, f_measure: 0.8514, kappa: 0.7781, kb_relative_information_score: 3990.3034, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.853, predictive_accuracy: 0.852, prior_entropy: 1.5849, recall: 0.852, relative_absolute_error: 0.2215, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.6629, scimark_benchmark: 907.4175,

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