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_geyser1

Supervised Classification on chscase_geyser1

Task 3758 Supervised Classification chscase_geyser1 937 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:

937 Runs

Fetching data
Fetching data
Search runs in more detail run
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8779, f_measure: 0.8767, kappa: 0.7403, kb_relative_information_score: 141.7207, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8797, predictive_accuracy: 0.8784, prior_entropy: 0.9694, recall: 0.8784, relative_absolute_error: 0.3748, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.677, scimark_benchmark: 1325.2092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.8887, kappa: 0.7649, kb_relative_information_score: 170.8166, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9021, predictive_accuracy: 0.8919, prior_entropy: 0.9694, recall: 0.8919, relative_absolute_error: 0.2258, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.6722, scimark_benchmark: 1363.454, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4544, kb_relative_information_score: 34.6669, mean_absolute_error: 0.3964, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.3643, predictive_accuracy: 0.6036, prior_entropy: 0.9694, recall: 0.6036, relative_absolute_error: 0.828, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.6296, root_relative_squared_error: 1.2871, scimark_benchmark: 1333.5799, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.8887, kappa: 0.7649, kb_relative_information_score: 170.8166, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9021, predictive_accuracy: 0.8919, prior_entropy: 0.9694, recall: 0.8919, relative_absolute_error: 0.2258, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.6722, scimark_benchmark: 1297.6599, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9271, f_measure: 0.8943, kappa: 0.777, kb_relative_information_score: 138.633, mean_absolute_error: 0.1955, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9013, predictive_accuracy: 0.8964, prior_entropy: 0.9694, recall: 0.8964, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.2958, root_relative_squared_error: 0.6046, scimark_benchmark: 930.5999, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.9032, kappa: 0.7955, kb_relative_information_score: 177.1986, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9129, predictive_accuracy: 0.9054, prior_entropy: 0.9694, recall: 0.9054, relative_absolute_error: 0.1976, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3076, root_relative_squared_error: 0.6288, scimark_benchmark: 942.6843, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.8991, kappa: 0.7871, kb_relative_information_score: 146.7173, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9052, predictive_accuracy: 0.9009, prior_entropy: 0.9694, recall: 0.9009, relative_absolute_error: 0.3673, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.5918, scimark_benchmark: 915.9324, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.8614, kappa: 0.7073, kb_relative_information_score: 132.3895, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8707, predictive_accuracy: 0.8649, prior_entropy: 0.9694, recall: 0.8649, relative_absolute_error: 0.4327, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.346, root_relative_squared_error: 0.7072, scimark_benchmark: 1337.7959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.8614, kappa: 0.7073, kb_relative_information_score: 132.9667, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8707, predictive_accuracy: 0.8649, prior_entropy: 0.9694, recall: 0.8649, relative_absolute_error: 0.4293, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3463, root_relative_squared_error: 0.708, scimark_benchmark: 1304.9611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.8614, kappa: 0.7073, kb_relative_information_score: 131.2504, mean_absolute_error: 0.2104, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8707, predictive_accuracy: 0.8649, prior_entropy: 0.9694, recall: 0.8649, relative_absolute_error: 0.4394, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.7061, scimark_benchmark: 1372.2145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8454, kappa: 0.6749, kb_relative_information_score: 136.2286, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8463, predictive_accuracy: 0.8468, prior_entropy: 0.9694, recall: 0.8468, relative_absolute_error: 0.3901, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.7256, scimark_benchmark: 1327.8711, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.8028, kappa: 0.5906, kb_relative_information_score: 131.014, mean_absolute_error: 0.1937, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.805, predictive_accuracy: 0.8018, prior_entropy: 0.9694, recall: 0.8018, relative_absolute_error: 0.4046, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.8518, scimark_benchmark: 1301.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, f_measure: 0.875, kappa: 0.7361, kb_relative_information_score: 139.1745, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8863, predictive_accuracy: 0.8784, prior_entropy: 0.9694, recall: 0.8784, relative_absolute_error: 0.3989, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.6757, scimark_benchmark: 1319.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.875, kappa: 0.7361, kb_relative_information_score: 140.5006, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8863, predictive_accuracy: 0.8784, prior_entropy: 0.9694, recall: 0.8784, relative_absolute_error: 0.3963, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.6627, scimark_benchmark: 1290.1085, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8082, f_measure: 0.8118, kappa: 0.6092, kb_relative_information_score: 132.5245, mean_absolute_error: 0.1892, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8139, predictive_accuracy: 0.8108, prior_entropy: 0.9694, recall: 0.8108, relative_absolute_error: 0.3952, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.435, root_relative_squared_error: 0.8892, scimark_benchmark: 1341.5768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.8763, kappa: 0.7392, kb_relative_information_score: 164.4345, mean_absolute_error: 0.1216, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8809, predictive_accuracy: 0.8784, prior_entropy: 0.9694, recall: 0.8784, relative_absolute_error: 0.2541, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3487, root_relative_squared_error: 0.713, scimark_benchmark: 1287.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, f_measure: 0.8702, kappa: 0.7257, kb_relative_information_score: 137.0378, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8826, predictive_accuracy: 0.8739, prior_entropy: 0.9694, recall: 0.8739, relative_absolute_error: 0.4121, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.6772, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.8755, kappa: 0.7371, kb_relative_information_score: 164.4345, mean_absolute_error: 0.1216, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8841, predictive_accuracy: 0.8784, prior_entropy: 0.9694, recall: 0.8784, relative_absolute_error: 0.2541, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3487, root_relative_squared_error: 0.713, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.8847, kappa: 0.7566, kb_relative_information_score: 168.6892, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8937, predictive_accuracy: 0.8874, prior_entropy: 0.9694, recall: 0.8874, relative_absolute_error: 0.2352, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.686, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4819, f_measure: 0.4544, kb_relative_information_score: -0.114, mean_absolute_error: 0.4788, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.3643, predictive_accuracy: 0.6036, prior_entropy: 0.9694, recall: 0.6036, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.4892, root_relative_squared_error: 1.0002, scimark_benchmark: 1503.3362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, f_measure: 0.8702, kappa: 0.7257, kb_relative_information_score: 137.0378, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8826, predictive_accuracy: 0.8739, prior_entropy: 0.9694, recall: 0.8739, relative_absolute_error: 0.4121, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.6772, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8903, kappa: 0.7687, kb_relative_information_score: 158.9296, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8943, predictive_accuracy: 0.8919, prior_entropy: 0.9694, recall: 0.8919, relative_absolute_error: 0.2936, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.6217, scimark_benchmark: 927.0753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8903, kappa: 0.7687, kb_relative_information_score: 158.9296, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8943, predictive_accuracy: 0.8919, prior_entropy: 0.9694, recall: 0.8919, relative_absolute_error: 0.2936, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.6217, scimark_benchmark: 945.6434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8903, kappa: 0.7687, kb_relative_information_score: 158.9296, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8943, predictive_accuracy: 0.8919, prior_entropy: 0.9694, recall: 0.8919, relative_absolute_error: 0.2936, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.6217, scimark_benchmark: 941.7954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8903, kappa: 0.7687, kb_relative_information_score: 158.9296, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8943, predictive_accuracy: 0.8919, prior_entropy: 0.9694, recall: 0.8919, relative_absolute_error: 0.2936, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.6217, scimark_benchmark: 923.7642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8903, kappa: 0.7687, kb_relative_information_score: 158.9296, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8943, predictive_accuracy: 0.8919, prior_entropy: 0.9694, recall: 0.8919, relative_absolute_error: 0.2936, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.6217, scimark_benchmark: 894.7455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.8711, kappa: 0.7279, kb_relative_information_score: 162.6338, mean_absolute_error: 0.1255, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8784, predictive_accuracy: 0.8739, prior_entropy: 0.9694, recall: 0.8739, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.7098, scimark_benchmark: 936.6206, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.8759, kappa: 0.7382, kb_relative_information_score: 162.9748, mean_absolute_error: 0.1252, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8823, predictive_accuracy: 0.8784, prior_entropy: 0.9694, recall: 0.8784, relative_absolute_error: 0.2616, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3432, root_relative_squared_error: 0.7017, scimark_benchmark: 938.2848, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8711, kappa: 0.7279, kb_relative_information_score: 163.035, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8784, predictive_accuracy: 0.8739, prior_entropy: 0.9694, recall: 0.8739, relative_absolute_error: 0.2597, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3451, root_relative_squared_error: 0.7056, scimark_benchmark: 938.2848, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, f_measure: 0.8759, kappa: 0.7382, kb_relative_information_score: 164.1618, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8823, predictive_accuracy: 0.8784, prior_entropy: 0.9694, recall: 0.8784, relative_absolute_error: 0.2565, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3378, root_relative_squared_error: 0.6905, scimark_benchmark: 922.9039, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.8711, kappa: 0.7279, kb_relative_information_score: 163.8965, mean_absolute_error: 0.1224, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8784, predictive_accuracy: 0.8739, prior_entropy: 0.9694, recall: 0.8739, relative_absolute_error: 0.2557, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3423, root_relative_squared_error: 0.6997, scimark_benchmark: 938.4278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.8415, kappa: 0.6673, kb_relative_information_score: 138.3696, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8415, predictive_accuracy: 0.8423, prior_entropy: 0.9694, recall: 0.8423, relative_absolute_error: 0.3802, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.7261, scimark_benchmark: 933.8635, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.8624, kappa: 0.7097, kb_relative_information_score: 142.3567, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8674, predictive_accuracy: 0.8649, prior_entropy: 0.9694, recall: 0.8649, relative_absolute_error: 0.3731, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3264, root_relative_squared_error: 0.6672, scimark_benchmark: 932.3943, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.8716, kappa: 0.729, kb_relative_information_score: 144.8379, mean_absolute_error: 0.1752, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8769, predictive_accuracy: 0.8739, prior_entropy: 0.9694, recall: 0.8739, relative_absolute_error: 0.3659, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.647, scimark_benchmark: 931.2336, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4819, f_measure: 0.4544, kb_relative_information_score: -0.114, mean_absolute_error: 0.4788, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.3643, predictive_accuracy: 0.6036, prior_entropy: 0.9694, recall: 0.6036, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.4892, root_relative_squared_error: 1.0002, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.8847, kappa: 0.7566, kb_relative_information_score: 152.4764, mean_absolute_error: 0.1588, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8937, predictive_accuracy: 0.8874, prior_entropy: 0.9694, recall: 0.8874, relative_absolute_error: 0.3316, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.6, scimark_benchmark: 929.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8882, f_measure: 0.8667, kappa: 0.7188, kb_relative_information_score: 143.1427, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8729, predictive_accuracy: 0.8694, prior_entropy: 0.9694, recall: 0.8694, relative_absolute_error: 0.3694, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.337, root_relative_squared_error: 0.6889, scimark_benchmark: 930.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.8028, kappa: 0.5906, kb_relative_information_score: 131.014, mean_absolute_error: 0.1937, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.805, predictive_accuracy: 0.8018, prior_entropy: 0.9694, recall: 0.8018, relative_absolute_error: 0.4046, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.8518, scimark_benchmark: 933.8635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4819, f_measure: 0.4544, kb_relative_information_score: -0.114, mean_absolute_error: 0.4788, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.3643, predictive_accuracy: 0.6036, prior_entropy: 0.9694, recall: 0.6036, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.4892, root_relative_squared_error: 1.0002, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.8759, kappa: 0.7382, kb_relative_information_score: 142.6176, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8823, predictive_accuracy: 0.8784, prior_entropy: 0.9694, recall: 0.8784, relative_absolute_error: 0.3809, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3146, root_relative_squared_error: 0.6431, 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: 0.4544, kb_relative_information_score: 34.6669, mean_absolute_error: 0.3964, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.3643, predictive_accuracy: 0.6036, prior_entropy: 0.9694, recall: 0.6036, relative_absolute_error: 0.828, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.6296, root_relative_squared_error: 1.2871, scimark_benchmark: 929.0255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, f_measure: 0.8702, kappa: 0.7257, kb_relative_information_score: 137.0378, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8826, predictive_accuracy: 0.8739, prior_entropy: 0.9694, recall: 0.8739, relative_absolute_error: 0.4121, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.6772, scimark_benchmark: 904.3001, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.8843, kappa: 0.7556, kb_relative_information_score: 82.0581, mean_absolute_error: 0.3318, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.896, predictive_accuracy: 0.8874, prior_entropy: 0.9694, recall: 0.8874, relative_absolute_error: 0.693, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3575, root_relative_squared_error: 0.7309, scimark_benchmark: 933.8635, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.8891, kappa: 0.7659, kb_relative_information_score: 143.9061, mean_absolute_error: 0.1832, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8996, predictive_accuracy: 0.8919, prior_entropy: 0.9694, recall: 0.8919, relative_absolute_error: 0.3827, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.2963, root_relative_squared_error: 0.6057, scimark_benchmark: 901.0726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, f_measure: 0.8191, kappa: 0.6205, kb_relative_information_score: 135.1483, mean_absolute_error: 0.1863, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8188, predictive_accuracy: 0.8198, prior_entropy: 0.9694, recall: 0.8198, relative_absolute_error: 0.3892, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.7511, scimark_benchmark: 932.236, usercpu_time_millis: 130, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8245, f_measure: 0.8614, kappa: 0.7073, kb_relative_information_score: 133.2785, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8707, predictive_accuracy: 0.8649, prior_entropy: 0.9694, recall: 0.8649, relative_absolute_error: 0.4279, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3432, root_relative_squared_error: 0.7017, scimark_benchmark: 942.1229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.8585, kappa: 0.7018, kb_relative_information_score: 139.609, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8611, predictive_accuracy: 0.8604, prior_entropy: 0.9694, recall: 0.8604, relative_absolute_error: 0.3773, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3474, root_relative_squared_error: 0.7101, scimark_benchmark: 935.8834, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.8552, kappa: 0.6964, kb_relative_information_score: 144.5833, mean_absolute_error: 0.1673, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8552, predictive_accuracy: 0.8559, prior_entropy: 0.9694, recall: 0.8559, relative_absolute_error: 0.3495, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.7575, scimark_benchmark: 883.7187, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6565, f_measure: 0.6304, kappa: 0.2369, kb_relative_information_score: 38.7173, mean_absolute_error: 0.4041, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.6799, predictive_accuracy: 0.6712, prior_entropy: 0.9694, recall: 0.6712, relative_absolute_error: 0.844, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.4616, root_relative_squared_error: 0.9437, scimark_benchmark: 917.1386, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.8454, kappa: 0.6749, kb_relative_information_score: 144.3442, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8463, predictive_accuracy: 0.8468, prior_entropy: 0.9694, recall: 0.8468, relative_absolute_error: 0.3469, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.361, root_relative_squared_error: 0.738, scimark_benchmark: 935.8986, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.8614, kappa: 0.7073, kb_relative_information_score: 132.9667, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8707, predictive_accuracy: 0.8649, prior_entropy: 0.9694, recall: 0.8649, relative_absolute_error: 0.4293, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3463, root_relative_squared_error: 0.708, scimark_benchmark: 935.8986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4544, kb_relative_information_score: 34.6669, mean_absolute_error: 0.3964, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.3643, predictive_accuracy: 0.6036, prior_entropy: 0.9694, recall: 0.6036, relative_absolute_error: 0.828, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.6296, root_relative_squared_error: 1.2871, scimark_benchmark: 935.8986, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.9032, kappa: 0.7955, kb_relative_information_score: 177.1986, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9129, predictive_accuracy: 0.9054, prior_entropy: 0.9694, recall: 0.9054, relative_absolute_error: 0.1976, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3076, root_relative_squared_error: 0.6288, scimark_benchmark: 908.0036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, build_cpu_time: 0.0348, build_memory: 1191477317.6216, f_measure: 0.8887, kappa: 0.7649, kb_relative_information_score: 149.2042, mean_absolute_error: 0.1707, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9021, predictive_accuracy: 0.8919, prior_entropy: 0.9694, recall: 0.8919, relative_absolute_error: 0.3566, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.6121, scimark_benchmark: 941.7891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, build_cpu_time: 0.0335, build_memory: 1127603009.946, f_measure: 0.8887, kappa: 0.7649, kb_relative_information_score: 149.2042, mean_absolute_error: 0.1707, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9021, predictive_accuracy: 0.8919, prior_entropy: 0.9694, recall: 0.8919, relative_absolute_error: 0.3566, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.6121, scimark_benchmark: 929.9115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, build_cpu_time: 0.0303, build_memory: 879038096.2523, f_measure: 0.8887, kappa: 0.7649, kb_relative_information_score: 149.2042, mean_absolute_error: 0.1707, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9021, predictive_accuracy: 0.8919, prior_entropy: 0.9694, recall: 0.8919, relative_absolute_error: 0.3566, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.6121, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, build_cpu_time: 0.0355, build_memory: 1149618969.5135, f_measure: 0.8887, kappa: 0.7649, kb_relative_information_score: 149.2042, mean_absolute_error: 0.1707, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9021, predictive_accuracy: 0.8919, prior_entropy: 0.9694, recall: 0.8919, relative_absolute_error: 0.3566, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.6121, scimark_benchmark: 940.9906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, build_cpu_time: 0.0042, build_memory: 794531707.0991, f_measure: 0.8807, kappa: 0.7484, kb_relative_information_score: 148.2455, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8863, predictive_accuracy: 0.8829, prior_entropy: 0.9694, recall: 0.8829, relative_absolute_error: 0.3437, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3313, root_relative_squared_error: 0.6773, scimark_benchmark: 925.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, build_cpu_time: 0.0065, build_memory: 1247547622.0541, f_measure: 0.8767, kappa: 0.7403, kb_relative_information_score: 148.9693, mean_absolute_error: 0.1616, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8797, predictive_accuracy: 0.8784, prior_entropy: 0.9694, recall: 0.8784, relative_absolute_error: 0.3377, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.6732, scimark_benchmark: 943.1873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, build_cpu_time: 0.007, build_memory: 1721269781.1892, f_measure: 0.8767, kappa: 0.7403, kb_relative_information_score: 148.9693, mean_absolute_error: 0.1616, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8797, predictive_accuracy: 0.8784, prior_entropy: 0.9694, recall: 0.8784, relative_absolute_error: 0.3377, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.6732, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, build_cpu_time: 0.0075, build_memory: 116581417.8378, f_measure: 0.8767, kappa: 0.7403, kb_relative_information_score: 148.9693, mean_absolute_error: 0.1616, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8797, predictive_accuracy: 0.8784, prior_entropy: 0.9694, recall: 0.8784, relative_absolute_error: 0.3377, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.6732, scimark_benchmark: 942.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, build_cpu_time: 0.0091, build_memory: 52044258.6667, f_measure: 0.8767, kappa: 0.7403, kb_relative_information_score: 148.9693, mean_absolute_error: 0.1616, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8797, predictive_accuracy: 0.8784, prior_entropy: 0.9694, recall: 0.8784, relative_absolute_error: 0.3377, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.6732, scimark_benchmark: 944.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, build_cpu_time: 0.1058, build_memory: 498635035.3874, f_measure: 0.8324, kappa: 0.6483, kb_relative_information_score: 139.3414, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8324, predictive_accuracy: 0.8333, prior_entropy: 0.9694, recall: 0.8333, relative_absolute_error: 0.3678, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8247, scimark_benchmark: 939.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8507, build_cpu_time: 0.0786, build_memory: 41910507.027, f_measure: 0.8418, kappa: 0.6686, kb_relative_information_score: 139.1993, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8417, predictive_accuracy: 0.8423, prior_entropy: 0.9694, recall: 0.8423, relative_absolute_error: 0.3688, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8245, scimark_benchmark: 877.9084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, build_cpu_time: 0.0457, build_memory: 1293020647.4955, f_measure: 0.8324, kappa: 0.6483, kb_relative_information_score: 138.2738, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8324, predictive_accuracy: 0.8333, prior_entropy: 0.9694, recall: 0.8333, relative_absolute_error: 0.3734, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.8261, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, build_cpu_time: 0.0139, build_memory: 2640013217.4054, f_measure: 0.8324, kappa: 0.6483, kb_relative_information_score: 136.3162, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8324, predictive_accuracy: 0.8333, prior_entropy: 0.9694, recall: 0.8333, relative_absolute_error: 0.3822, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8335, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, build_cpu_time: 0.0106, build_memory: 1136183277.6216, f_measure: 0.8238, kappa: 0.6307, kb_relative_information_score: 133.9416, mean_absolute_error: 0.1883, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8235, predictive_accuracy: 0.8243, prior_entropy: 0.9694, recall: 0.8243, relative_absolute_error: 0.3933, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.8417, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, build_cpu_time: 0.3061, build_memory: 327890761.7297, f_measure: 0.8418, kappa: 0.6686, kb_relative_information_score: 143.0127, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8417, predictive_accuracy: 0.8423, prior_entropy: 0.9694, recall: 0.8423, relative_absolute_error: 0.3522, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3912, root_relative_squared_error: 0.7997, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8748, build_cpu_time: 0.5639, build_memory: 1105793516.4324, f_measure: 0.8465, kappa: 0.6787, kb_relative_information_score: 143.3243, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8464, predictive_accuracy: 0.8468, prior_entropy: 0.9694, recall: 0.8468, relative_absolute_error: 0.3513, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3909, root_relative_squared_error: 0.7992, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8773, build_cpu_time: 1.0421, build_memory: 1459601684.7928, f_measure: 0.8465, kappa: 0.6787, kb_relative_information_score: 143.1422, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8464, predictive_accuracy: 0.8468, prior_entropy: 0.9694, recall: 0.8468, relative_absolute_error: 0.3519, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3917, root_relative_squared_error: 0.8008, scimark_benchmark: 920.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, build_cpu_time: 1.8493, build_memory: 286334949.8018, f_measure: 0.8509, kappa: 0.6875, kb_relative_information_score: 142.9394, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8507, predictive_accuracy: 0.8514, prior_entropy: 0.9694, recall: 0.8514, relative_absolute_error: 0.3527, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.8019, scimark_benchmark: 946.4503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, build_cpu_time: 3.1767, build_memory: 669677094.991, f_measure: 0.8422, kappa: 0.6699, kb_relative_information_score: 142.794, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8421, predictive_accuracy: 0.8423, prior_entropy: 0.9694, recall: 0.8423, relative_absolute_error: 0.3532, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3927, root_relative_squared_error: 0.8028, scimark_benchmark: 915.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, build_cpu_time: 0.0174, build_memory: 1196847472.0721, f_measure: 0.8552, kappa: 0.6964, kb_relative_information_score: 146.2337, mean_absolute_error: 0.1639, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8552, predictive_accuracy: 0.8559, prior_entropy: 0.9694, recall: 0.8559, relative_absolute_error: 0.3423, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3465, root_relative_squared_error: 0.7084, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, build_cpu_time: 0.0098, build_memory: 866240827.2432, f_measure: 0.8552, kappa: 0.6964, kb_relative_information_score: 146.2337, mean_absolute_error: 0.1639, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8552, predictive_accuracy: 0.8559, prior_entropy: 0.9694, recall: 0.8559, relative_absolute_error: 0.3423, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3465, root_relative_squared_error: 0.7084, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, build_cpu_time: 0.0141, build_memory: 1196866723.2432, f_measure: 0.8505, kappa: 0.6863, kb_relative_information_score: 146.3391, mean_absolute_error: 0.1637, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8506, predictive_accuracy: 0.8514, prior_entropy: 0.9694, recall: 0.8514, relative_absolute_error: 0.3419, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.7065, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, build_cpu_time: 0.0056, build_memory: 1160660711.2793, f_measure: 0.8458, kappa: 0.6762, kb_relative_information_score: 146.3947, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8461, predictive_accuracy: 0.8468, prior_entropy: 0.9694, recall: 0.8468, relative_absolute_error: 0.3406, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3411, root_relative_squared_error: 0.6973, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, build_cpu_time: 0.0028, build_memory: 754954945.2973, f_measure: 0.8502, kappa: 0.6851, kb_relative_information_score: 146.8815, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8508, predictive_accuracy: 0.8514, prior_entropy: 0.9694, recall: 0.8514, relative_absolute_error: 0.3416, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.6694, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, build_cpu_time: 0.0015, build_memory: 499599843.027, f_measure: 0.8903, kappa: 0.7687, kb_relative_information_score: 158.9296, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8943, predictive_accuracy: 0.8919, prior_entropy: 0.9694, recall: 0.8919, relative_absolute_error: 0.2936, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.6217, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, build_cpu_time: 0.0016, build_memory: 1831302544.8649, f_measure: 0.8903, kappa: 0.7687, kb_relative_information_score: 158.9296, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8943, predictive_accuracy: 0.8919, prior_entropy: 0.9694, recall: 0.8919, relative_absolute_error: 0.2936, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.6217, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, build_cpu_time: 0.0019, build_memory: 744021580.8288, f_measure: 0.8903, kappa: 0.7687, kb_relative_information_score: 158.9296, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8943, predictive_accuracy: 0.8919, prior_entropy: 0.9694, recall: 0.8919, relative_absolute_error: 0.2936, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.6217, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, build_cpu_time: 0.0031, build_memory: 976265334.991, f_measure: 0.8903, kappa: 0.7687, kb_relative_information_score: 158.9296, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8943, predictive_accuracy: 0.8919, prior_entropy: 0.9694, recall: 0.8919, relative_absolute_error: 0.2936, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.6217, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, build_cpu_time: 0.0042, build_memory: 2611674075.6036, f_measure: 0.8903, kappa: 0.7687, kb_relative_information_score: 158.9296, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8943, predictive_accuracy: 0.8919, prior_entropy: 0.9694, recall: 0.8919, relative_absolute_error: 0.2936, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.6217, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8853, build_cpu_time: 0.5514, build_memory: 53799816, f_measure: 0.8943, kappa: 0.777, kb_relative_information_score: 145.4354, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.9013, predictive_accuracy: 0.8964, prior_entropy: 0.9694, recall: 0.8964, relative_absolute_error: 0.3594, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.6727, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, build_cpu_time: 1.1171, build_memory: 46750050.4505, f_measure: 0.8811, kappa: 0.7494, kb_relative_information_score: 150.0393, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8849, predictive_accuracy: 0.8829, prior_entropy: 0.9694, recall: 0.8829, relative_absolute_error: 0.3326, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.6736, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8921, build_cpu_time: 2.2082, build_memory: 1192758083.5676, f_measure: 0.8545, kappa: 0.694, kb_relative_information_score: 148.87, mean_absolute_error: 0.1582, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8555, predictive_accuracy: 0.8559, prior_entropy: 0.9694, recall: 0.8559, relative_absolute_error: 0.3306, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3462, root_relative_squared_error: 0.7077, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, build_cpu_time: 1.2545, build_memory: 68554019.964, f_measure: 0.8458, kappa: 0.6762, kb_relative_information_score: 140.3411, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8461, predictive_accuracy: 0.8468, prior_entropy: 0.9694, recall: 0.8468, relative_absolute_error: 0.3664, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.7664, scimark_benchmark: 925.7673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, build_cpu_time: 1.3369, build_memory: 301045665.9459, f_measure: 0.8458, kappa: 0.6762, kb_relative_information_score: 140.3411, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8461, predictive_accuracy: 0.8468, prior_entropy: 0.9694, recall: 0.8468, relative_absolute_error: 0.3664, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.7664, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, build_cpu_time: 1.2565, build_memory: 904542114.8829, f_measure: 0.8462, kappa: 0.6774, kb_relative_information_score: 141.4403, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8461, predictive_accuracy: 0.8468, prior_entropy: 0.9694, recall: 0.8468, relative_absolute_error: 0.362, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.7613, scimark_benchmark: 942.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, build_cpu_time: 0.7862, build_memory: 1409750909.5496, f_measure: 0.8462, kappa: 0.6774, kb_relative_information_score: 141.5885, mean_absolute_error: 0.1734, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8461, predictive_accuracy: 0.8468, prior_entropy: 0.9694, recall: 0.8468, relative_absolute_error: 0.3621, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.7552, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, build_cpu_time: 0.0389, build_memory: 431530100.3604, f_measure: 0.8418, kappa: 0.6686, kb_relative_information_score: 144.5339, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8417, predictive_accuracy: 0.8423, prior_entropy: 0.9694, recall: 0.8423, relative_absolute_error: 0.3472, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3695, root_relative_squared_error: 0.7553, scimark_benchmark: 933.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, build_cpu_time: 0.0716, build_memory: 560939165.009, f_measure: 0.8371, kappa: 0.6585, kb_relative_information_score: 141.5108, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.837, predictive_accuracy: 0.8378, prior_entropy: 0.9694, recall: 0.8378, relative_absolute_error: 0.359, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3818, root_relative_squared_error: 0.7806, scimark_benchmark: 874.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8926, build_cpu_time: 0.1378, build_memory: 610901361.9459, f_measure: 0.8371, kappa: 0.6585, kb_relative_information_score: 140.6485, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.837, predictive_accuracy: 0.8378, prior_entropy: 0.9694, recall: 0.8378, relative_absolute_error: 0.3627, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.7945, scimark_benchmark: 924.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, build_cpu_time: 0.2087, build_memory: 1345292876.9369, f_measure: 0.8324, kappa: 0.6483, kb_relative_information_score: 139.678, mean_absolute_error: 0.1751, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8324, predictive_accuracy: 0.8333, prior_entropy: 0.9694, recall: 0.8333, relative_absolute_error: 0.3657, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3925, root_relative_squared_error: 0.8024, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, build_cpu_time: 0.2165, build_memory: 1267551465.2973, f_measure: 0.8324, kappa: 0.6483, kb_relative_information_score: 139.7597, mean_absolute_error: 0.1749, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8324, predictive_accuracy: 0.8333, prior_entropy: 0.9694, recall: 0.8333, relative_absolute_error: 0.3654, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.8021, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, build_cpu_time: 0.0144, build_memory: 703733842.2342, f_measure: 0.8727, kappa: 0.7323, kb_relative_information_score: 148.0085, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8739, predictive_accuracy: 0.8739, prior_entropy: 0.9694, recall: 0.8739, relative_absolute_error: 0.3417, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3273, root_relative_squared_error: 0.6691, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, build_cpu_time: 0.0128, build_memory: 418492377.2613, f_measure: 0.8727, kappa: 0.7323, kb_relative_information_score: 148.0085, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8739, predictive_accuracy: 0.8739, prior_entropy: 0.9694, recall: 0.8739, relative_absolute_error: 0.3417, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3273, root_relative_squared_error: 0.6691, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, build_cpu_time: 0.0121, build_memory: 76625594.8108, f_measure: 0.8727, kappa: 0.7323, kb_relative_information_score: 148.0085, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8739, predictive_accuracy: 0.8739, prior_entropy: 0.9694, recall: 0.8739, relative_absolute_error: 0.3417, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3273, root_relative_squared_error: 0.6691, scimark_benchmark: 919.5971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, build_cpu_time: 0.0124, build_memory: 1032367248.2162, f_measure: 0.8727, kappa: 0.7323, kb_relative_information_score: 148.0085, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8739, predictive_accuracy: 0.8739, prior_entropy: 0.9694, recall: 0.8739, relative_absolute_error: 0.3417, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3273, root_relative_squared_error: 0.6691, scimark_benchmark: 937.5625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, build_cpu_time: 0.0101, build_memory: 333913539.027, f_measure: 0.8727, kappa: 0.7323, kb_relative_information_score: 148.9983, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8739, predictive_accuracy: 0.8739, prior_entropy: 0.9694, recall: 0.8739, relative_absolute_error: 0.337, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.661, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, build_cpu_time: 0.0037, build_memory: 705433095.4234, f_measure: 0.8585, kappa: 0.7018, kb_relative_information_score: 139.609, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.4787, number_of_instances: 222, precision: 0.8611, predictive_accuracy: 0.8604, prior_entropy: 0.9694, recall: 0.8604, relative_absolute_error: 0.3773, root_mean_prior_squared_error: 0.4891, root_mean_squared_error: 0.3474, root_relative_squared_error: 0.7101, scimark_benchmark: 935.6292,

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