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 chscase_census6

Supervised Classification on chscase_census6

Task 3763 Supervised Classification chscase_census6 585 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
Issue #Downvotes for this reason By


Metric:

585 Runs

Fetching data
Fetching data
Search runs in more detail run
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5167, f_measure: 0.5084, kappa: -0.0196, kb_relative_information_score: 0.0393, mean_absolute_error: 0.4767, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5058, predictive_accuracy: 0.5125, prior_entropy: 0.978, recall: 0.5125, relative_absolute_error: 0.9834, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.556, root_relative_squared_error: 1.1295, scimark_benchmark: 1325.2092, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5039, f_measure: 0.4449, kappa: 0.0092, kb_relative_information_score: 57.088, mean_absolute_error: 0.41, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.6213, predictive_accuracy: 0.59, prior_entropy: 0.978, recall: 0.59, relative_absolute_error: 0.8458, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6403, root_relative_squared_error: 1.3007, scimark_benchmark: 1442.7264, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4348, kb_relative_information_score: 54.9977, mean_absolute_error: 0.4125, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6423, root_relative_squared_error: 1.3047, scimark_benchmark: 887.6719, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4348, kb_relative_information_score: 54.9977, mean_absolute_error: 0.4125, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6423, root_relative_squared_error: 1.3047, scimark_benchmark: 1337.7959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, f_measure: 0.4348, kb_relative_information_score: -18.2398, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1.029, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0152, scimark_benchmark: 930.5999, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5042, f_measure: 0.4623, kappa: 0.0097, kb_relative_information_score: 52.9073, mean_absolute_error: 0.415, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5389, predictive_accuracy: 0.585, prior_entropy: 0.978, recall: 0.585, relative_absolute_error: 0.8561, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6442, root_relative_squared_error: 1.3086, scimark_benchmark: 942.6843, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5017, f_measure: 0.4842, kappa: 0.0038, kb_relative_information_score: 0.9157, mean_absolute_error: 0.4828, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5194, predictive_accuracy: 0.5725, prior_entropy: 0.978, recall: 0.5725, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4994, root_relative_squared_error: 1.0145, scimark_benchmark: 934.4732, usercpu_time_millis: 1040, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4811, f_measure: 0.4413, kappa: -0.0434, kb_relative_information_score: 32.0035, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4377, predictive_accuracy: 0.56, prior_entropy: 0.978, recall: 0.56, relative_absolute_error: 0.9077, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3474, scimark_benchmark: 934.0566, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.0512, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.0512, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 1363.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.0512, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 909.3537, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.1035, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 935.1887, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4697, f_measure: 0.4865, kappa: -0.0571, kb_relative_information_score: -9.3489, mean_absolute_error: 0.4902, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4828, predictive_accuracy: 0.52, prior_entropy: 0.978, recall: 0.52, relative_absolute_error: 1.0113, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5143, root_relative_squared_error: 1.0447, scimark_benchmark: 1331.6907, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5048, f_measure: 0.52, kappa: 0.0097, kb_relative_information_score: -1.4425, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.52, predictive_accuracy: 0.52, prior_entropy: 0.978, recall: 0.52, relative_absolute_error: 0.9902, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6928, root_relative_squared_error: 1.4074, scimark_benchmark: 1346.9602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4375, f_measure: 0.4708, kappa: -0.0854, kb_relative_information_score: -23.8745, mean_absolute_error: 0.5075, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.465, predictive_accuracy: 0.51, prior_entropy: 0.978, recall: 0.51, relative_absolute_error: 1.0468, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5635, root_relative_squared_error: 1.1446, scimark_benchmark: 1320.2556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.471, f_measure: 0.4302, kappa: -0.0199, kb_relative_information_score: -3.0967, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3427, predictive_accuracy: 0.5775, prior_entropy: 0.978, recall: 0.5775, relative_absolute_error: 1.0058, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.496, root_relative_squared_error: 1.0075, scimark_benchmark: 1354.2491, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5302, f_measure: 0.5381, kappa: 0.0593, kb_relative_information_score: 11.0998, mean_absolute_error: 0.465, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5444, predictive_accuracy: 0.535, prior_entropy: 0.978, recall: 0.535, relative_absolute_error: 0.9592, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6819, root_relative_squared_error: 1.3852, scimark_benchmark: 1341.5768, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5383, f_measure: 0.5424, kappa: 0.0844, kb_relative_information_score: 63.3592, mean_absolute_error: 0.4025, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5776, predictive_accuracy: 0.5975, prior_entropy: 0.978, recall: 0.5975, relative_absolute_error: 0.8303, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6344, root_relative_squared_error: 1.2887, scimark_benchmark: 1290.1085, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: 0.0012, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5596, f_measure: 0.5781, kappa: 0.1228, kb_relative_information_score: 54.9977, mean_absolute_error: 0.4125, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5767, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6423, root_relative_squared_error: 1.3047, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4785, f_measure: 0.4758, kappa: -0.0474, kb_relative_information_score: 15.2805, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.48, predictive_accuracy: 0.54, prior_entropy: 0.978, recall: 0.54, relative_absolute_error: 0.9489, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6782, root_relative_squared_error: 1.3777, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.1035, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 1445.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: 0.0012, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 1605.6303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4794, f_measure: 0.4994, kappa: 0.0186, kb_relative_information_score: 12.3583, mean_absolute_error: 0.4697, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5321, predictive_accuracy: 0.575, prior_entropy: 0.978, recall: 0.575, relative_absolute_error: 0.9689, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5343, root_relative_squared_error: 1.0853, scimark_benchmark: 927.0753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4831, f_measure: 0.4994, kappa: 0.0186, kb_relative_information_score: 12.5691, mean_absolute_error: 0.4696, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5321, predictive_accuracy: 0.575, prior_entropy: 0.978, recall: 0.575, relative_absolute_error: 0.9688, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5324, root_relative_squared_error: 1.0814, scimark_benchmark: 945.6434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4831, f_measure: 0.4994, kappa: 0.0186, kb_relative_information_score: 12.5691, mean_absolute_error: 0.4696, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5321, predictive_accuracy: 0.575, prior_entropy: 0.978, recall: 0.575, relative_absolute_error: 0.9688, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5324, root_relative_squared_error: 1.0814, scimark_benchmark: 941.7954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4831, f_measure: 0.4994, kappa: 0.0186, kb_relative_information_score: 12.5691, mean_absolute_error: 0.4696, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5321, predictive_accuracy: 0.575, prior_entropy: 0.978, recall: 0.575, relative_absolute_error: 0.9688, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5324, root_relative_squared_error: 1.0814, scimark_benchmark: 923.7642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4831, f_measure: 0.4994, kappa: 0.0186, kb_relative_information_score: 12.5691, mean_absolute_error: 0.4696, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5321, predictive_accuracy: 0.575, prior_entropy: 0.978, recall: 0.575, relative_absolute_error: 0.9688, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5324, root_relative_squared_error: 1.0814, scimark_benchmark: 894.7455, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4412, f_measure: 0.4775, kappa: -0.0427, kb_relative_information_score: 5.7309, mean_absolute_error: 0.4753, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4831, predictive_accuracy: 0.5425, prior_entropy: 0.978, recall: 0.5425, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5868, root_relative_squared_error: 1.1919, scimark_benchmark: 936.6206, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4314, f_measure: 0.4677, kappa: -0.0511, kb_relative_information_score: 3.5442, mean_absolute_error: 0.4781, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4725, predictive_accuracy: 0.5425, prior_entropy: 0.978, recall: 0.5425, relative_absolute_error: 0.9863, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5824, root_relative_squared_error: 1.1831, scimark_benchmark: 938.2848, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4395, f_measure: 0.451, kappa: -0.0566, kb_relative_information_score: 7.7009, mean_absolute_error: 0.4729, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4519, predictive_accuracy: 0.5475, prior_entropy: 0.978, recall: 0.5475, relative_absolute_error: 0.9756, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5734, root_relative_squared_error: 1.1647, scimark_benchmark: 936.6206, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4291, f_measure: 0.4435, kappa: -0.073, kb_relative_information_score: 2.9982, mean_absolute_error: 0.479, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4354, predictive_accuracy: 0.54, prior_entropy: 0.978, recall: 0.54, relative_absolute_error: 0.988, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5696, root_relative_squared_error: 1.1571, scimark_benchmark: 922.9039, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4365, f_measure: 0.4575, kappa: -0.0176, kb_relative_information_score: 11.973, mean_absolute_error: 0.4686, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4863, predictive_accuracy: 0.57, prior_entropy: 0.978, recall: 0.57, relative_absolute_error: 0.9667, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5695, root_relative_squared_error: 1.1569, scimark_benchmark: 938.9865, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5213, f_measure: 0.53, kappa: 0.0227, kb_relative_information_score: 5.0651, mean_absolute_error: 0.4741, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5266, predictive_accuracy: 0.54, prior_entropy: 0.978, recall: 0.54, relative_absolute_error: 0.9781, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5354, root_relative_squared_error: 1.0875, scimark_benchmark: 933.8635, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4371, f_measure: 0.4576, kappa: -0.1189, kb_relative_information_score: -21.2957, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.449, predictive_accuracy: 0.49, prior_entropy: 0.978, recall: 0.49, relative_absolute_error: 1.0382, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5309, root_relative_squared_error: 1.0784, scimark_benchmark: 947.9494, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4134, f_measure: 0.4537, kappa: -0.1071, kb_relative_information_score: -22.1263, mean_absolute_error: 0.5046, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4451, predictive_accuracy: 0.5075, prior_entropy: 0.978, recall: 0.5075, relative_absolute_error: 1.0409, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.528, root_relative_squared_error: 1.0726, scimark_benchmark: 929.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.1035, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4642, f_measure: 0.2481, kappa: -0.0297, kb_relative_information_score: -38.5924, mean_absolute_error: 0.5175, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3267, predictive_accuracy: 0.4, prior_entropy: 0.978, recall: 0.4, relative_absolute_error: 1.0676, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5265, root_relative_squared_error: 1.0694, scimark_benchmark: 943.2745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4177, f_measure: 0.47, kappa: -0.0709, kb_relative_information_score: -23.4281, mean_absolute_error: 0.5072, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4676, predictive_accuracy: 0.525, prior_entropy: 0.978, recall: 0.525, relative_absolute_error: 1.0463, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5323, root_relative_squared_error: 1.0812, scimark_benchmark: 930.32, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4787, f_measure: 0.5118, kappa: -0.0136, kb_relative_information_score: -10.6319, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5082, predictive_accuracy: 0.53, prior_entropy: 0.978, recall: 0.53, relative_absolute_error: 1.0154, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5545, root_relative_squared_error: 1.1265, scimark_benchmark: 933.8635, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.1035, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4538, f_measure: 0.4336, kappa: -0.0601, kb_relative_information_score: -20.6192, mean_absolute_error: 0.5022, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4123, predictive_accuracy: 0.5525, prior_entropy: 0.978, recall: 0.5525, relative_absolute_error: 1.0359, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5093, root_relative_squared_error: 1.0345, scimark_benchmark: 911.0478, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4348, kb_relative_information_score: 54.9977, mean_absolute_error: 0.4125, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6423, root_relative_squared_error: 1.3047, scimark_benchmark: 901.0726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: 0.0012, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 929.0255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4389, f_measure: 0.4337, kappa: -0.0353, kb_relative_information_score: -14.3445, mean_absolute_error: 0.4956, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4094, predictive_accuracy: 0.5675, prior_entropy: 0.978, recall: 0.5675, relative_absolute_error: 1.0223, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4965, root_relative_squared_error: 1.0085, scimark_benchmark: 933.8635, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4409, f_measure: 0.4656, kappa: -0.0459, kb_relative_information_score: -8.413, mean_absolute_error: 0.4911, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4731, predictive_accuracy: 0.5475, prior_entropy: 0.978, recall: 0.5475, relative_absolute_error: 1.0131, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0184, scimark_benchmark: 917.7039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.1035, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 947.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.519, f_measure: 0.5019, kappa: -0.0224, kb_relative_information_score: -6.1328, mean_absolute_error: 0.4828, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5044, predictive_accuracy: 0.5, prior_entropy: 0.978, recall: 0.5, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5822, root_relative_squared_error: 1.1827, scimark_benchmark: 932.236, usercpu_time_millis: 590, usercpu_time_millis_testing: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: 0.0012, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 935.8834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.538, kappa: 0.0395, kb_relative_information_score: 3.7334, mean_absolute_error: 0.4758, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.535, predictive_accuracy: 0.5475, prior_entropy: 0.978, recall: 0.5475, relative_absolute_error: 0.9816, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6295, root_relative_squared_error: 1.2788, scimark_benchmark: 938.4285, usercpu_time_millis: 320, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4973, f_measure: 0.2537, kappa: -0.0045, kb_relative_information_score: -91.3286, mean_absolute_error: 0.5875, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4634, predictive_accuracy: 0.4125, prior_entropy: 0.978, recall: 0.4125, relative_absolute_error: 1.2119, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.7665, root_relative_squared_error: 1.557, scimark_benchmark: 935.8834, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5055, f_measure: 0.535, kappa: 0.0406, kb_relative_information_score: -2.6771, mean_absolute_error: 0.4836, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.535, predictive_accuracy: 0.535, prior_entropy: 0.978, recall: 0.535, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5635, root_relative_squared_error: 1.1446, scimark_benchmark: 945.6434, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4348, kb_relative_information_score: -0.0512, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0001, scimark_benchmark: 923.9763, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4348, kb_relative_information_score: 54.9977, mean_absolute_error: 0.4125, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6423, root_relative_squared_error: 1.3047, scimark_benchmark: 934.6252, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4348, kb_relative_information_score: 54.9977, mean_absolute_error: 0.4125, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.3452, predictive_accuracy: 0.5875, prior_entropy: 0.978, recall: 0.5875, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6423, root_relative_squared_error: 1.3047, scimark_benchmark: 799.2185, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4326, build_cpu_time: 0.0792, build_memory: 1324849224, f_measure: 0.4572, kappa: 0.0027, kb_relative_information_score: -5.6253, mean_absolute_error: 0.4891, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5223, predictive_accuracy: 0.5825, prior_entropy: 0.978, recall: 0.5825, relative_absolute_error: 1.0089, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4994, root_relative_squared_error: 1.0146, scimark_benchmark: 941.7891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4326, build_cpu_time: 0.0777, build_memory: 1259795553.6, f_measure: 0.4572, kappa: 0.0027, kb_relative_information_score: -5.6253, mean_absolute_error: 0.4891, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5223, predictive_accuracy: 0.5825, prior_entropy: 0.978, recall: 0.5825, relative_absolute_error: 1.0089, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4994, root_relative_squared_error: 1.0146, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4326, build_cpu_time: 0.0716, build_memory: 748706512.8, f_measure: 0.4572, kappa: 0.0027, kb_relative_information_score: -5.6253, mean_absolute_error: 0.4891, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5223, predictive_accuracy: 0.5825, prior_entropy: 0.978, recall: 0.5825, relative_absolute_error: 1.0089, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4994, root_relative_squared_error: 1.0146, scimark_benchmark: 943.1873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4385, build_cpu_time: 0.0531, build_memory: 562595660.8, f_measure: 0.4507, kappa: -0.0093, kb_relative_information_score: -5.2894, mean_absolute_error: 0.4887, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4913, predictive_accuracy: 0.5775, prior_entropy: 0.978, recall: 0.5775, relative_absolute_error: 1.008, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.4981, root_relative_squared_error: 1.0118, scimark_benchmark: 940.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5129, build_cpu_time: 0.0525, build_memory: 1046075572.8, f_measure: 0.5352, kappa: 0.0353, kb_relative_information_score: 2.731, mean_absolute_error: 0.4763, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5326, predictive_accuracy: 0.54, prior_entropy: 0.978, recall: 0.54, relative_absolute_error: 0.9826, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5697, root_relative_squared_error: 1.1573, scimark_benchmark: 940.5101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5475, build_cpu_time: 0.0955, build_memory: 248112032, f_measure: 0.5556, kappa: 0.0765, kb_relative_information_score: 24.0068, mean_absolute_error: 0.4522, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5531, predictive_accuracy: 0.5625, prior_entropy: 0.978, recall: 0.5625, relative_absolute_error: 0.9328, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.576, root_relative_squared_error: 1.1701, scimark_benchmark: 925.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5268, build_cpu_time: 0.1285, build_memory: 291310501.6, f_measure: 0.5403, kappa: 0.0457, kb_relative_information_score: 13.5054, mean_absolute_error: 0.463, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5377, predictive_accuracy: 0.545, prior_entropy: 0.978, recall: 0.545, relative_absolute_error: 0.9551, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.607, root_relative_squared_error: 1.233, scimark_benchmark: 918.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5336, build_cpu_time: 0.154, build_memory: 1023344806.4, f_measure: 0.5367, kappa: 0.0379, kb_relative_information_score: 13.0294, mean_absolute_error: 0.4624, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5339, predictive_accuracy: 0.5425, prior_entropy: 0.978, recall: 0.5425, relative_absolute_error: 0.9538, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6088, root_relative_squared_error: 1.2367, scimark_benchmark: 940.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5336, build_cpu_time: 0.1946, build_memory: 57519146.4, f_measure: 0.5367, kappa: 0.0379, kb_relative_information_score: 13.0294, mean_absolute_error: 0.4624, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5339, predictive_accuracy: 0.5425, prior_entropy: 0.978, recall: 0.5425, relative_absolute_error: 0.9538, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6088, root_relative_squared_error: 1.2367, scimark_benchmark: 939.9885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5082, build_cpu_time: 0.0089, build_memory: 1058546864.8, f_measure: 0.5241, kappa: 0.0164, kb_relative_information_score: 2.7383, mean_absolute_error: 0.475, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5233, predictive_accuracy: 0.525, prior_entropy: 0.978, recall: 0.525, relative_absolute_error: 0.9799, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6892, root_relative_squared_error: 1.4, scimark_benchmark: 874.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5082, build_cpu_time: 0.0071, build_memory: 109416436.8, f_measure: 0.5241, kappa: 0.0164, kb_relative_information_score: 2.7383, mean_absolute_error: 0.475, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5233, predictive_accuracy: 0.525, prior_entropy: 0.978, recall: 0.525, relative_absolute_error: 0.9799, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6892, root_relative_squared_error: 1.4, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5082, build_cpu_time: 0.0067, build_memory: 1743247299.2, f_measure: 0.5241, kappa: 0.0164, kb_relative_information_score: 2.7383, mean_absolute_error: 0.475, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5233, predictive_accuracy: 0.525, prior_entropy: 0.978, recall: 0.525, relative_absolute_error: 0.9799, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6892, root_relative_squared_error: 1.4, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5082, build_cpu_time: 0.0038, build_memory: 2867281337.6, f_measure: 0.5241, kappa: 0.0164, kb_relative_information_score: 2.7383, mean_absolute_error: 0.475, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5233, predictive_accuracy: 0.525, prior_entropy: 0.978, recall: 0.525, relative_absolute_error: 0.9799, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6892, root_relative_squared_error: 1.4, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5082, build_cpu_time: 0.0055, build_memory: 672293156, f_measure: 0.5241, kappa: 0.0164, kb_relative_information_score: 2.7383, mean_absolute_error: 0.475, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5233, predictive_accuracy: 0.525, prior_entropy: 0.978, recall: 0.525, relative_absolute_error: 0.9799, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6892, root_relative_squared_error: 1.4, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4627, build_cpu_time: 0.1491, build_memory: 340412176, f_measure: 0.4896, kappa: -0.0531, kb_relative_information_score: -12.0627, mean_absolute_error: 0.4932, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4857, predictive_accuracy: 0.52, prior_entropy: 0.978, recall: 0.52, relative_absolute_error: 1.0173, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.047, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4627, build_cpu_time: 0.1551, build_memory: 1190528115.2, f_measure: 0.4896, kappa: -0.0531, kb_relative_information_score: -12.0627, mean_absolute_error: 0.4932, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4857, predictive_accuracy: 0.52, prior_entropy: 0.978, recall: 0.52, relative_absolute_error: 1.0173, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.047, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4627, build_cpu_time: 0.1717, build_memory: 1114734408, f_measure: 0.4896, kappa: -0.0531, kb_relative_information_score: -12.0627, mean_absolute_error: 0.4932, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4857, predictive_accuracy: 0.52, prior_entropy: 0.978, recall: 0.52, relative_absolute_error: 1.0173, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.047, scimark_benchmark: 920.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4627, build_cpu_time: 0.1639, build_memory: 618947992.8, f_measure: 0.4896, kappa: -0.0531, kb_relative_information_score: -12.0627, mean_absolute_error: 0.4932, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4857, predictive_accuracy: 0.52, prior_entropy: 0.978, recall: 0.52, relative_absolute_error: 1.0173, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.047, scimark_benchmark: 940.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4627, build_cpu_time: 0.17, build_memory: 909971931.2, f_measure: 0.4896, kappa: -0.0531, kb_relative_information_score: -12.0627, mean_absolute_error: 0.4932, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.4857, predictive_accuracy: 0.52, prior_entropy: 0.978, recall: 0.52, relative_absolute_error: 1.0173, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.047, scimark_benchmark: 915.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5727, build_cpu_time: 0.1536, build_memory: 754057140.8, f_measure: 0.575, kappa: 0.1196, kb_relative_information_score: 42.6269, mean_absolute_error: 0.4279, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5735, predictive_accuracy: 0.5775, prior_entropy: 0.978, recall: 0.5775, relative_absolute_error: 0.8827, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6443, root_relative_squared_error: 1.3088, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5708, build_cpu_time: 0.0749, build_memory: 1116513277.6, f_measure: 0.5683, kappa: 0.1064, kb_relative_information_score: 40.6278, mean_absolute_error: 0.4302, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.567, predictive_accuracy: 0.57, prior_entropy: 0.978, recall: 0.57, relative_absolute_error: 0.8875, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6284, root_relative_squared_error: 1.2765, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.583, build_cpu_time: 0.0561, build_memory: 207116712, f_measure: 0.5655, kappa: 0.1004, kb_relative_information_score: 47.2034, mean_absolute_error: 0.4211, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5641, predictive_accuracy: 0.5675, prior_entropy: 0.978, recall: 0.5675, relative_absolute_error: 0.8686, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6028, root_relative_squared_error: 1.2244, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5625, build_cpu_time: 0.0283, build_memory: 1022440155.2, f_measure: 0.5667, kappa: 0.1015, kb_relative_information_score: 31.5612, mean_absolute_error: 0.4418, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5648, predictive_accuracy: 0.57, prior_entropy: 0.978, recall: 0.57, relative_absolute_error: 0.9114, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5961, root_relative_squared_error: 1.2108, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.531, build_cpu_time: 0.0091, build_memory: 1088794336, f_measure: 0.5336, kappa: 0.0354, kb_relative_information_score: 10.9254, mean_absolute_error: 0.4662, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5325, predictive_accuracy: 0.535, prior_entropy: 0.978, recall: 0.535, relative_absolute_error: 0.9617, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5808, root_relative_squared_error: 1.1798, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4831, build_cpu_time: 0.0043, build_memory: 536176462.4, f_measure: 0.4994, kappa: 0.0186, kb_relative_information_score: 12.5691, mean_absolute_error: 0.4696, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5321, predictive_accuracy: 0.575, prior_entropy: 0.978, recall: 0.575, relative_absolute_error: 0.9688, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5324, root_relative_squared_error: 1.0814, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4831, build_cpu_time: 0.0048, build_memory: 923240918.4, f_measure: 0.4994, kappa: 0.0186, kb_relative_information_score: 12.5691, mean_absolute_error: 0.4696, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5321, predictive_accuracy: 0.575, prior_entropy: 0.978, recall: 0.575, relative_absolute_error: 0.9688, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5324, root_relative_squared_error: 1.0814, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4831, build_cpu_time: 0.0052, build_memory: 621419416.8, f_measure: 0.4994, kappa: 0.0186, kb_relative_information_score: 12.5691, mean_absolute_error: 0.4696, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5321, predictive_accuracy: 0.575, prior_entropy: 0.978, recall: 0.575, relative_absolute_error: 0.9688, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5324, root_relative_squared_error: 1.0814, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4831, build_cpu_time: 0.0087, build_memory: 2018720420.8, f_measure: 0.4994, kappa: 0.0186, kb_relative_information_score: 12.5691, mean_absolute_error: 0.4696, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5321, predictive_accuracy: 0.575, prior_entropy: 0.978, recall: 0.575, relative_absolute_error: 0.9688, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5324, root_relative_squared_error: 1.0814, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4831, build_cpu_time: 0.0072, build_memory: 2822597437.6, f_measure: 0.4994, kappa: 0.0186, kb_relative_information_score: 12.5691, mean_absolute_error: 0.4696, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5321, predictive_accuracy: 0.575, prior_entropy: 0.978, recall: 0.575, relative_absolute_error: 0.9688, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5324, root_relative_squared_error: 1.0814, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4638, build_cpu_time: 6.6135, build_memory: 17822084, f_measure: 0.5037, kappa: -0.0277, kb_relative_information_score: -18.3894, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5004, predictive_accuracy: 0.5275, prior_entropy: 0.978, recall: 0.5275, relative_absolute_error: 1.0316, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.532, root_relative_squared_error: 1.0806, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.485, build_cpu_time: 13.4282, build_memory: 28433476.8, f_measure: 0.5257, kappa: 0.0139, kb_relative_information_score: -9.8732, mean_absolute_error: 0.4927, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5222, predictive_accuracy: 0.535, prior_entropy: 0.978, recall: 0.535, relative_absolute_error: 1.0163, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5425, root_relative_squared_error: 1.102, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4873, build_cpu_time: 28.807, build_memory: 69240053.6, f_measure: 0.5107, kappa: -0.0166, kb_relative_information_score: -9.864, mean_absolute_error: 0.4908, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5072, predictive_accuracy: 0.5175, prior_entropy: 0.978, recall: 0.5175, relative_absolute_error: 1.0125, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5673, root_relative_squared_error: 1.1524, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5234, build_cpu_time: 104.6517, build_memory: 763936374.4, f_measure: 0.5259, kappa: 0.015, kb_relative_information_score: 10.8395, mean_absolute_error: 0.4653, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5227, predictive_accuracy: 0.5325, prior_entropy: 0.978, recall: 0.5325, relative_absolute_error: 0.9598, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6066, root_relative_squared_error: 1.2321, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, build_cpu_time: 25.4575, build_memory: 278120680.8, f_measure: 0.5107, kappa: -0.0173, kb_relative_information_score: -9.7028, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5066, predictive_accuracy: 0.5225, prior_entropy: 0.978, recall: 0.5225, relative_absolute_error: 1.0142, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6442, root_relative_squared_error: 1.3086, scimark_benchmark: 943.4163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, build_cpu_time: 11.7129, build_memory: 145238709.6, f_measure: 0.5107, kappa: -0.0173, kb_relative_information_score: -7.2994, mean_absolute_error: 0.4884, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5066, predictive_accuracy: 0.5225, prior_entropy: 0.978, recall: 0.5225, relative_absolute_error: 1.0075, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6401, root_relative_squared_error: 1.3002, scimark_benchmark: 935.1241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5289, build_cpu_time: 3.4994, build_memory: 805068401.6, f_measure: 0.5431, kappa: 0.0519, kb_relative_information_score: 11.237, mean_absolute_error: 0.4671, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5406, predictive_accuracy: 0.5475, prior_entropy: 0.978, recall: 0.5475, relative_absolute_error: 0.9636, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5997, root_relative_squared_error: 1.2182, scimark_benchmark: 942.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5248, build_cpu_time: 2.34, build_memory: 1588630633.6, f_measure: 0.5382, kappa: 0.0405, kb_relative_information_score: 7.7824, mean_absolute_error: 0.4708, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5352, predictive_accuracy: 0.545, prior_entropy: 0.978, recall: 0.545, relative_absolute_error: 0.9713, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5724, root_relative_squared_error: 1.1628, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.516, build_cpu_time: 0.2146, build_memory: 1140135973.6, f_measure: 0.55, kappa: 0.0716, kb_relative_information_score: -2.2629, mean_absolute_error: 0.4837, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.55, predictive_accuracy: 0.55, prior_entropy: 0.978, recall: 0.55, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5559, root_relative_squared_error: 1.1292, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5332, build_cpu_time: 0.4216, build_memory: 1262334403.2, f_measure: 0.5318, kappa: 0.0328, kb_relative_information_score: 8.6403, mean_absolute_error: 0.4693, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5312, predictive_accuracy: 0.5325, prior_entropy: 0.978, recall: 0.5325, relative_absolute_error: 0.9681, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.576, root_relative_squared_error: 1.17, scimark_benchmark: 874.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5421, build_cpu_time: 0.9644, build_memory: 146316548, f_measure: 0.5231, kappa: 0.0129, kb_relative_information_score: 12.3448, mean_absolute_error: 0.4624, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5216, predictive_accuracy: 0.525, prior_entropy: 0.978, recall: 0.525, relative_absolute_error: 0.9539, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.604, root_relative_squared_error: 1.2269, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5154, build_cpu_time: 1.7156, build_memory: 1271977023.2, f_measure: 0.5368, kappa: 0.0432, kb_relative_information_score: 8.0497, mean_absolute_error: 0.4701, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5362, predictive_accuracy: 0.5375, prior_entropy: 0.978, recall: 0.5375, relative_absolute_error: 0.9698, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6375, root_relative_squared_error: 1.2949, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5137, build_cpu_time: 3.4318, build_memory: 368279845.6, f_measure: 0.5104, kappa: -0.0091, kb_relative_information_score: -10.6915, mean_absolute_error: 0.4904, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5109, predictive_accuracy: 0.51, prior_entropy: 0.978, recall: 0.51, relative_absolute_error: 1.0116, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.6763, root_relative_squared_error: 1.3737, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4785, build_cpu_time: 0.0643, build_memory: 1161974276.8, f_measure: 0.5037, kappa: -0.0277, kb_relative_information_score: -8.8561, mean_absolute_error: 0.491, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5004, predictive_accuracy: 0.5275, prior_entropy: 0.978, recall: 0.5275, relative_absolute_error: 1.0129, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5222, root_relative_squared_error: 1.0607, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4785, build_cpu_time: 0.077, build_memory: 1346260816, f_measure: 0.5037, kappa: -0.0277, kb_relative_information_score: -8.8561, mean_absolute_error: 0.491, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5004, predictive_accuracy: 0.5275, prior_entropy: 0.978, recall: 0.5275, relative_absolute_error: 1.0129, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5222, root_relative_squared_error: 1.0607, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4785, build_cpu_time: 0.0683, build_memory: 981148176, f_measure: 0.5037, kappa: -0.0277, kb_relative_information_score: -8.8561, mean_absolute_error: 0.491, mean_prior_absolute_error: 0.4848, number_of_instances: 400, precision: 0.5004, predictive_accuracy: 0.5275, prior_entropy: 0.978, recall: 0.5275, relative_absolute_error: 1.0129, root_mean_prior_squared_error: 0.4923, root_mean_squared_error: 0.5222, root_relative_squared_error: 1.0607, scimark_benchmark: 937.5625,

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