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
OpenML
Supervised Classification on sleep

Supervised Classification on sleep

Task 3605 Supervised Classification sleep 478 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
Issue #Downvotes for this reason By


Metric:

478 Runs

Fetching data
Fetching data
Search runs in more detail run
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6567, build_cpu_time: 0.005, build_memory: 141980740.9032, f_measure: 0.6899, kappa: 0.378, kb_relative_information_score: 15.0972, mean_absolute_error: 0.3908, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6955, predictive_accuracy: 0.6935, prior_entropy: 0.9972, recall: 0.6935, relative_absolute_error: 0.7848, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0025, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6567, build_cpu_time: 0.0061, build_memory: 632760357.4194, f_measure: 0.6899, kappa: 0.378, kb_relative_information_score: 15.0972, mean_absolute_error: 0.3908, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6955, predictive_accuracy: 0.6935, prior_entropy: 0.9972, recall: 0.6935, relative_absolute_error: 0.7848, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0025, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6348, build_cpu_time: 0.0038, build_memory: 959529264, f_measure: 0.644, kappa: 0.2844, kb_relative_information_score: 11.9024, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6443, predictive_accuracy: 0.6452, prior_entropy: 0.9972, recall: 0.6452, relative_absolute_error: 0.8195, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5438, root_relative_squared_error: 1.0899, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6411, build_cpu_time: 0.0029, build_memory: 431329687.4839, f_measure: 0.644, kappa: 0.2844, kb_relative_information_score: 12.1136, mean_absolute_error: 0.4061, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6443, predictive_accuracy: 0.6452, prior_entropy: 0.9972, recall: 0.6452, relative_absolute_error: 0.8154, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5387, root_relative_squared_error: 1.0796, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6411, build_cpu_time: 0.0036, build_memory: 27187023.871, f_measure: 0.644, kappa: 0.2844, kb_relative_information_score: 12.1136, mean_absolute_error: 0.4061, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6443, predictive_accuracy: 0.6452, prior_entropy: 0.9972, recall: 0.6452, relative_absolute_error: 0.8154, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5387, root_relative_squared_error: 1.0796, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6411, build_cpu_time: 0.004, build_memory: 1124922742.7097, f_measure: 0.644, kappa: 0.2844, kb_relative_information_score: 12.1136, mean_absolute_error: 0.4061, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6443, predictive_accuracy: 0.6452, prior_entropy: 0.9972, recall: 0.6452, relative_absolute_error: 0.8154, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5387, root_relative_squared_error: 1.0796, scimark_benchmark: 943.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6411, build_cpu_time: 0.0056, build_memory: 640365053.4194, f_measure: 0.644, kappa: 0.2844, kb_relative_information_score: 12.1136, mean_absolute_error: 0.4061, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6443, predictive_accuracy: 0.6452, prior_entropy: 0.9972, recall: 0.6452, relative_absolute_error: 0.8154, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5387, root_relative_squared_error: 1.0796, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7247, build_cpu_time: 0.0143, build_memory: 53959777.2903, f_measure: 0.7097, kappa: 0.4169, kb_relative_information_score: 25.129, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7097, predictive_accuracy: 0.7097, prior_entropy: 0.9972, recall: 0.7097, relative_absolute_error: 0.5976, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5297, root_relative_squared_error: 1.0616, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7247, build_cpu_time: 0.0076, build_memory: 938157216, f_measure: 0.7097, kappa: 0.4169, kb_relative_information_score: 25.129, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7097, predictive_accuracy: 0.7097, prior_entropy: 0.9972, recall: 0.7097, relative_absolute_error: 0.5976, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5297, root_relative_squared_error: 1.0616, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7247, build_cpu_time: 0.0046, build_memory: 842505526.4516, f_measure: 0.7097, kappa: 0.4169, kb_relative_information_score: 25.129, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7097, predictive_accuracy: 0.7097, prior_entropy: 0.9972, recall: 0.7097, relative_absolute_error: 0.5976, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5297, root_relative_squared_error: 1.0616, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6217, build_cpu_time: 0.0432, build_memory: 28234505.4194, f_measure: 0.6608, kappa: 0.3183, kb_relative_information_score: 16.3226, mean_absolute_error: 0.3718, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6607, predictive_accuracy: 0.6613, prior_entropy: 0.9972, recall: 0.6613, relative_absolute_error: 0.7467, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5659, root_relative_squared_error: 1.1342, scimark_benchmark: 934.8107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6024, build_cpu_time: 0.1902, build_memory: 1694770217.8065, f_measure: 0.5806, kappa: 0.1578, kb_relative_information_score: 10.6114, mean_absolute_error: 0.4116, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.5806, predictive_accuracy: 0.5806, prior_entropy: 0.9972, recall: 0.5806, relative_absolute_error: 0.8265, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6362, root_relative_squared_error: 1.2751, scimark_benchmark: 899.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6113, build_cpu_time: 0.1374, build_memory: 1267598552.129, f_measure: 0.5945, kappa: 0.1851, kb_relative_information_score: 10.915, mean_absolute_error: 0.4106, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.5951, predictive_accuracy: 0.5968, prior_entropy: 0.9972, recall: 0.5968, relative_absolute_error: 0.8246, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6275, root_relative_squared_error: 1.2576, scimark_benchmark: 947.9978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6019, build_cpu_time: 0.0896, build_memory: 134011113.5484, f_measure: 0.5945, kappa: 0.1851, kb_relative_information_score: 12.0852, mean_absolute_error: 0.4008, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.5951, predictive_accuracy: 0.5968, prior_entropy: 0.9972, recall: 0.5968, relative_absolute_error: 0.8048, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6067, root_relative_squared_error: 1.2159, scimark_benchmark: 940.9619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5993, build_cpu_time: 0.0249, build_memory: 976907897.9355, f_measure: 0.6129, kappa: 0.2226, kb_relative_information_score: 10.913, mean_absolute_error: 0.4123, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6129, predictive_accuracy: 0.6129, prior_entropy: 0.9972, recall: 0.6129, relative_absolute_error: 0.8279, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5892, root_relative_squared_error: 1.1808, scimark_benchmark: 933.9589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6473, build_cpu_time: 0.018, build_memory: 684413502.4516, f_measure: 0.6919, kappa: 0.3807, kb_relative_information_score: 24.2984, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6934, predictive_accuracy: 0.6935, prior_entropy: 0.9972, recall: 0.6935, relative_absolute_error: 0.6078, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5336, root_relative_squared_error: 1.0694, scimark_benchmark: 933.1799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, build_cpu_time: 0.0003, build_memory: 643186858.5806, f_measure: 0.7243, kappa: 0.4458, kb_relative_information_score: 19.0932, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7262, predictive_accuracy: 0.7258, prior_entropy: 0.9972, recall: 0.7258, relative_absolute_error: 0.7253, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.9006, scimark_benchmark: 933.1799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6698, build_cpu_time: 0.023, build_memory: 981521180.3871, f_measure: 0.6747, kappa: 0.3467, kb_relative_information_score: 10.765, mean_absolute_error: 0.4247, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6777, predictive_accuracy: 0.6774, prior_entropy: 0.9972, recall: 0.6774, relative_absolute_error: 0.8528, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4889, root_relative_squared_error: 0.9799, scimark_benchmark: 942.4411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6808, build_cpu_time: 0.0018, build_memory: 135682782.3226, f_measure: 0.7378, kappa: 0.4751, kb_relative_information_score: 18.3455, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7482, predictive_accuracy: 0.7419, prior_entropy: 0.9972, recall: 0.7419, relative_absolute_error: 0.7427, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4441, root_relative_squared_error: 0.8901, scimark_benchmark: 940.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7247, build_memory: 515825532.9032, f_measure: 0.7097, kappa: 0.4169, kb_relative_information_score: 25.129, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7097, predictive_accuracy: 0.7097, prior_entropy: 0.9972, recall: 0.7097, relative_absolute_error: 0.5976, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5297, root_relative_squared_error: 1.0616, scimark_benchmark: 938.6628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0047, build_memory: 322590326.7097, f_measure: 0.3698, kb_relative_information_score: 3.6605, mean_absolute_error: 0.4677, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.2833, predictive_accuracy: 0.5323, prior_entropy: 0.9972, recall: 0.5323, relative_absolute_error: 0.9393, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6839, root_relative_squared_error: 1.3707, scimark_benchmark: 936.8995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6829, build_cpu_time: 0.0043, build_memory: 342922801.6774, f_measure: 0.6838, kappa: 0.3727, kb_relative_information_score: 23.7736, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7056, predictive_accuracy: 0.6935, prior_entropy: 0.9972, recall: 0.6935, relative_absolute_error: 0.6154, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5536, root_relative_squared_error: 1.1095, scimark_benchmark: 936.7073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7043, build_cpu_time: 0.0031, build_memory: 576468374.0645, f_measure: 0.7072, kappa: 0.412, kb_relative_information_score: 25.785, mean_absolute_error: 0.2903, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7108, predictive_accuracy: 0.7097, prior_entropy: 0.9972, recall: 0.7097, relative_absolute_error: 0.583, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5388, root_relative_squared_error: 1.0799, scimark_benchmark: 926.8365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7064, build_cpu_time: 0.0017, build_memory: 691848339.3548, f_measure: 0.7378, kappa: 0.4751, kb_relative_information_score: 15.3747, mean_absolute_error: 0.3921, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7482, predictive_accuracy: 0.7419, prior_entropy: 0.9972, recall: 0.7419, relative_absolute_error: 0.7875, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4793, root_relative_squared_error: 0.9606, scimark_benchmark: 946.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7936, build_cpu_time: 0.0003, build_memory: 124953963.0968, f_measure: 0.6336, kappa: 0.2977, kb_relative_information_score: 19.9586, mean_absolute_error: 0.3367, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7002, predictive_accuracy: 0.6613, prior_entropy: 0.9972, recall: 0.6613, relative_absolute_error: 0.6762, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5643, root_relative_squared_error: 1.1309, scimark_benchmark: 946.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6803, build_cpu_time: 0.004, build_memory: 335860123.3548, f_measure: 0.7201, kappa: 0.4411, kb_relative_information_score: 12.3709, mean_absolute_error: 0.4136, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.734, predictive_accuracy: 0.7258, prior_entropy: 0.9972, recall: 0.7258, relative_absolute_error: 0.8305, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4837, root_relative_squared_error: 0.9694, scimark_benchmark: 934.4754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6803, build_cpu_time: 0.0038, build_memory: 290634550.7097, f_measure: 0.7201, kappa: 0.4411, kb_relative_information_score: 12.3709, mean_absolute_error: 0.4136, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.734, predictive_accuracy: 0.7258, prior_entropy: 0.9972, recall: 0.7258, relative_absolute_error: 0.8305, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4837, root_relative_squared_error: 0.9694, scimark_benchmark: 945.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6803, build_cpu_time: 0.004, build_memory: 291666832, f_measure: 0.7201, kappa: 0.4411, kb_relative_information_score: 12.3709, mean_absolute_error: 0.4136, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.734, predictive_accuracy: 0.7258, prior_entropy: 0.9972, recall: 0.7258, relative_absolute_error: 0.8305, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4837, root_relative_squared_error: 0.9694, scimark_benchmark: 943.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7126, build_cpu_time: 0.0295, build_memory: 38220401.8065, f_measure: 0.7225, kappa: 0.4435, kb_relative_information_score: 17.699, mean_absolute_error: 0.3673, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.729, predictive_accuracy: 0.7258, prior_entropy: 0.9972, recall: 0.7258, relative_absolute_error: 0.7377, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.469, root_relative_squared_error: 0.94, scimark_benchmark: 933.0871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7126, build_cpu_time: 0.003, build_memory: 94216054.1935, f_measure: 0.7225, kappa: 0.4435, kb_relative_information_score: 17.699, mean_absolute_error: 0.3673, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.729, predictive_accuracy: 0.7258, prior_entropy: 0.9972, recall: 0.7258, relative_absolute_error: 0.7377, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.469, root_relative_squared_error: 0.94, scimark_benchmark: 945.1122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7126, build_cpu_time: 0.0032, build_memory: 444798795.6129, f_measure: 0.7225, kappa: 0.4435, kb_relative_information_score: 17.699, mean_absolute_error: 0.3673, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.729, predictive_accuracy: 0.7258, prior_entropy: 0.9972, recall: 0.7258, relative_absolute_error: 0.7377, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.469, root_relative_squared_error: 0.94, scimark_benchmark: 945.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7126, build_cpu_time: 0.0032, build_memory: 111256511.2258, f_measure: 0.7225, kappa: 0.4435, kb_relative_information_score: 17.699, mean_absolute_error: 0.3673, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.729, predictive_accuracy: 0.7258, prior_entropy: 0.9972, recall: 0.7258, relative_absolute_error: 0.7377, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.469, root_relative_squared_error: 0.94, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6317, build_cpu_time: 0.0006, build_memory: 440607800, f_measure: 0.6572, kappa: 0.3126, kb_relative_information_score: 13.967, mean_absolute_error: 0.3994, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.662, predictive_accuracy: 0.6613, prior_entropy: 0.9972, recall: 0.6613, relative_absolute_error: 0.8021, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5048, root_relative_squared_error: 1.0117, scimark_benchmark: 922.2602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6317, build_cpu_time: 0.0009, build_memory: 215776568, f_measure: 0.6572, kappa: 0.3126, kb_relative_information_score: 13.967, mean_absolute_error: 0.3994, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.662, predictive_accuracy: 0.6613, prior_entropy: 0.9972, recall: 0.6613, relative_absolute_error: 0.8021, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5048, root_relative_squared_error: 1.0117, scimark_benchmark: 940.3415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6317, build_cpu_time: 0.0007, build_memory: 770481376, f_measure: 0.6572, kappa: 0.3126, kb_relative_information_score: 13.967, mean_absolute_error: 0.3994, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.662, predictive_accuracy: 0.6613, prior_entropy: 0.9972, recall: 0.6613, relative_absolute_error: 0.8021, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5048, root_relative_squared_error: 1.0117, scimark_benchmark: 922.5645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4519, build_cpu_time: 0.0002, build_memory: 551580816, f_measure: 0.3698, kb_relative_information_score: -0.1155, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.2833, predictive_accuracy: 0.5323, prior_entropy: 0.9972, recall: 0.5323, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0013, scimark_benchmark: 922.5645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5491, build_cpu_time: 0.0005, build_memory: 162540147.6129, f_measure: 0.5374, kappa: 0.101, kb_relative_information_score: 7.6831, mean_absolute_error: 0.4355, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.5639, predictive_accuracy: 0.5645, prior_entropy: 0.9972, recall: 0.5645, relative_absolute_error: 0.8745, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6599, root_relative_squared_error: 1.3226, scimark_benchmark: 944.7664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6567, build_cpu_time: 7.3015, build_memory: 1669653342.9677, f_measure: 0.7243, kappa: 0.4458, kb_relative_information_score: 15.5977, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7262, predictive_accuracy: 0.7258, prior_entropy: 0.9972, recall: 0.7258, relative_absolute_error: 0.7843, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4689, root_relative_squared_error: 0.9398, scimark_benchmark: 935.5607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7774, build_cpu_time: 0.0302, build_memory: 200470717.4194, f_measure: 0.705, kappa: 0.4095, kb_relative_information_score: 22.624, mean_absolute_error: 0.321, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7142, predictive_accuracy: 0.7097, prior_entropy: 0.9972, recall: 0.7097, relative_absolute_error: 0.6445, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4713, root_relative_squared_error: 0.9445, scimark_benchmark: 942.0094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7456, build_cpu_time: 0.0481, build_memory: 504190961.2903, f_measure: 0.6691, kappa: 0.3411, kb_relative_information_score: 20.6006, mean_absolute_error: 0.3339, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6846, predictive_accuracy: 0.6774, prior_entropy: 0.9972, recall: 0.6774, relative_absolute_error: 0.6704, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5204, root_relative_squared_error: 1.043, scimark_benchmark: 946.5567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7283, build_cpu_time: 0.0822, build_memory: 779810818.8387, f_measure: 0.6691, kappa: 0.3411, kb_relative_information_score: 21.7153, mean_absolute_error: 0.3258, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6846, predictive_accuracy: 0.6774, prior_entropy: 0.9972, recall: 0.6774, relative_absolute_error: 0.6543, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5104, root_relative_squared_error: 1.0229, scimark_benchmark: 941.7372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7638, build_cpu_time: 0.1848, build_memory: 691284335.3548, f_measure: 0.6691, kappa: 0.3411, kb_relative_information_score: 21.925, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6846, predictive_accuracy: 0.6774, prior_entropy: 0.9972, recall: 0.6774, relative_absolute_error: 0.6518, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.0059, scimark_benchmark: 927.4148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7529, build_cpu_time: 0.5765, build_memory: 2777757850.0645, f_measure: 0.6691, kappa: 0.3411, kb_relative_information_score: 21.5496, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6846, predictive_accuracy: 0.6774, prior_entropy: 0.9972, recall: 0.6774, relative_absolute_error: 0.6587, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.504, root_relative_squared_error: 1.0102, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7079, build_cpu_time: 0.0447, build_memory: 105874040.6452, f_measure: 0.7378, kappa: 0.4751, kb_relative_information_score: 12.8228, mean_absolute_error: 0.4134, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7482, predictive_accuracy: 0.7419, prior_entropy: 0.9972, recall: 0.7419, relative_absolute_error: 0.8301, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4597, root_relative_squared_error: 0.9214, scimark_benchmark: 933.4451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7079, build_cpu_time: 0.0551, build_memory: 483828765.6774, f_measure: 0.7378, kappa: 0.4751, kb_relative_information_score: 12.8228, mean_absolute_error: 0.4134, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7482, predictive_accuracy: 0.7419, prior_entropy: 0.9972, recall: 0.7419, relative_absolute_error: 0.8301, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4597, root_relative_squared_error: 0.9214, scimark_benchmark: 941.3563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.709, build_cpu_time: 0.0242, build_memory: 1933804147.3548, f_measure: 0.7225, kappa: 0.4435, kb_relative_information_score: 12.7389, mean_absolute_error: 0.4138, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.729, predictive_accuracy: 0.7258, prior_entropy: 0.9972, recall: 0.7258, relative_absolute_error: 0.831, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4605, root_relative_squared_error: 0.923, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7163, build_cpu_time: 0.0135, build_memory: 1415236826.0645, f_measure: 0.7378, kappa: 0.4751, kb_relative_information_score: 13.5467, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7482, predictive_accuracy: 0.7419, prior_entropy: 0.9972, recall: 0.7419, relative_absolute_error: 0.8193, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4594, root_relative_squared_error: 0.9208, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6949, build_cpu_time: 0.007, build_memory: 585145289.2903, f_measure: 0.7378, kappa: 0.4751, kb_relative_information_score: 14.441, mean_absolute_error: 0.4006, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7482, predictive_accuracy: 0.7419, prior_entropy: 0.9972, recall: 0.7419, relative_absolute_error: 0.8044, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4658, root_relative_squared_error: 0.9335, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6698, build_cpu_time: 0.0117, build_memory: 917013223.7419, f_measure: 0.6572, kappa: 0.3126, kb_relative_information_score: 10.8906, mean_absolute_error: 0.4241, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.662, predictive_accuracy: 0.6613, prior_entropy: 0.9972, recall: 0.6613, relative_absolute_error: 0.8516, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4939, root_relative_squared_error: 0.9899, scimark_benchmark: 929.0404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6787, build_cpu_time: 0.0266, build_memory: 718941420.7742, f_measure: 0.6919, kappa: 0.3807, kb_relative_information_score: 11.6655, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6934, predictive_accuracy: 0.6935, prior_entropy: 0.9972, recall: 0.6935, relative_absolute_error: 0.8434, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4865, root_relative_squared_error: 0.9751, scimark_benchmark: 940.4855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.675, build_cpu_time: 2.0765, build_memory: 2934108783.2258, f_measure: 0.7072, kappa: 0.412, kb_relative_information_score: 10.6127, mean_absolute_error: 0.4284, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7108, predictive_accuracy: 0.7097, prior_entropy: 0.9972, recall: 0.7097, relative_absolute_error: 0.8602, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4829, root_relative_squared_error: 0.9678, scimark_benchmark: 904.8448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6729, build_cpu_time: 1.0784, build_memory: 516117113.1613, f_measure: 0.6723, kappa: 0.3439, kb_relative_information_score: 10.1981, mean_absolute_error: 0.431, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6802, predictive_accuracy: 0.6774, prior_entropy: 0.9972, recall: 0.6774, relative_absolute_error: 0.8656, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4859, root_relative_squared_error: 0.9739, scimark_benchmark: 943.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6761, build_cpu_time: 0.537, build_memory: 610038275.6129, f_measure: 0.6899, kappa: 0.378, kb_relative_information_score: 10.371, mean_absolute_error: 0.4298, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6955, predictive_accuracy: 0.6935, prior_entropy: 0.9972, recall: 0.6935, relative_absolute_error: 0.8631, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4856, root_relative_squared_error: 0.9732, scimark_benchmark: 921.6453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6761, build_cpu_time: 0.4907, build_memory: 761107285.2903, f_measure: 0.6899, kappa: 0.378, kb_relative_information_score: 10.371, mean_absolute_error: 0.4298, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6955, predictive_accuracy: 0.6935, prior_entropy: 0.9972, recall: 0.6935, relative_absolute_error: 0.8631, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4856, root_relative_squared_error: 0.9732, scimark_benchmark: 871.6268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6688, build_cpu_time: 0.3588, build_memory: 114367317.2903, f_measure: 0.6691, kappa: 0.3411, kb_relative_information_score: 10.5658, mean_absolute_error: 0.428, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6846, predictive_accuracy: 0.6774, prior_entropy: 0.9972, recall: 0.6774, relative_absolute_error: 0.8595, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4876, root_relative_squared_error: 0.9773, scimark_benchmark: 930.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.675, build_cpu_time: 0.1589, build_memory: 1262847273.4194, f_measure: 0.6691, kappa: 0.3411, kb_relative_information_score: 10.5415, mean_absolute_error: 0.4263, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6846, predictive_accuracy: 0.6774, prior_entropy: 0.9972, recall: 0.6774, relative_absolute_error: 0.8561, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4894, root_relative_squared_error: 0.9808, scimark_benchmark: 942.3187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6641, build_cpu_time: 0.0041, build_memory: 1107521995.6129, f_measure: 0.6747, kappa: 0.3467, kb_relative_information_score: 14.8004, mean_absolute_error: 0.3903, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6777, predictive_accuracy: 0.6774, prior_entropy: 0.9972, recall: 0.6774, relative_absolute_error: 0.7838, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.509, root_relative_squared_error: 1.02, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, build_cpu_time: 0.0044, build_memory: 420370951.3548, f_measure: 0.7225, kappa: 0.4435, kb_relative_information_score: 16.7048, mean_absolute_error: 0.3786, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.729, predictive_accuracy: 0.7258, prior_entropy: 0.9972, recall: 0.7258, relative_absolute_error: 0.7603, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4824, root_relative_squared_error: 0.9669, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, build_cpu_time: 0.0092, build_memory: 1389167154.3226, f_measure: 0.7243, kappa: 0.4458, kb_relative_information_score: 15.9787, mean_absolute_error: 0.3863, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7262, predictive_accuracy: 0.7258, prior_entropy: 0.9972, recall: 0.7258, relative_absolute_error: 0.7757, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.482, root_relative_squared_error: 0.9661, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7356, build_cpu_time: 0.0128, build_memory: 347115300.9032, f_measure: 0.7254, kappa: 0.4482, kb_relative_information_score: 17.3774, mean_absolute_error: 0.3751, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7255, predictive_accuracy: 0.7258, prior_entropy: 0.9972, recall: 0.7258, relative_absolute_error: 0.7532, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4557, root_relative_squared_error: 0.9133, scimark_benchmark: 934.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7565, build_cpu_time: 0.0222, build_memory: 709652745.0323, f_measure: 0.6198, kappa: 0.2659, kb_relative_information_score: 20.3353, mean_absolute_error: 0.3343, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6714, predictive_accuracy: 0.6452, prior_entropy: 0.9972, recall: 0.6452, relative_absolute_error: 0.6712, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5221, root_relative_squared_error: 1.0465, scimark_benchmark: 932.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, build_cpu_time: 0.0092, build_memory: 105511397.0323, f_measure: 0.7552, kappa: 0.509, kb_relative_information_score: 14.4345, mean_absolute_error: 0.3993, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7625, predictive_accuracy: 0.7581, prior_entropy: 0.9972, recall: 0.7581, relative_absolute_error: 0.8018, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4884, root_relative_squared_error: 0.9789, scimark_benchmark: 926.5157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, build_cpu_time: 0.0087, build_memory: 295989311.4839, f_measure: 0.7552, kappa: 0.509, kb_relative_information_score: 14.4345, mean_absolute_error: 0.3993, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7625, predictive_accuracy: 0.7581, prior_entropy: 0.9972, recall: 0.7581, relative_absolute_error: 0.8018, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4884, root_relative_squared_error: 0.9789, scimark_benchmark: 933.3942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7696, build_cpu_time: 0.0018, build_memory: 134293115.4839, f_measure: 0.6336, kappa: 0.2977, kb_relative_information_score: 19.4513, mean_absolute_error: 0.3423, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7002, predictive_accuracy: 0.6613, prior_entropy: 0.9972, recall: 0.6613, relative_absolute_error: 0.6874, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.556, root_relative_squared_error: 1.1144, scimark_benchmark: 942.5344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7858, build_cpu_time: 5.3863, build_memory: 677958029.8065, f_measure: 0.7419, kappa: 0.4817, kb_relative_information_score: 22.3152, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7419, predictive_accuracy: 0.7419, prior_entropy: 0.9972, recall: 0.7419, relative_absolute_error: 0.6654, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4335, root_relative_squared_error: 0.8689, scimark_benchmark: 864.1117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, build_cpu_time: 7.81, build_memory: 390353213.4194, f_measure: 0.7419, kappa: 0.4817, kb_relative_information_score: 22.357, mean_absolute_error: 0.3304, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7419, predictive_accuracy: 0.7419, prior_entropy: 0.9972, recall: 0.7419, relative_absolute_error: 0.6635, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8707, scimark_benchmark: 943.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7262, build_cpu_time: 0.0217, build_memory: 956356644.2581, f_measure: 0.7411, kappa: 0.4795, kb_relative_information_score: 16.712, mean_absolute_error: 0.3837, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7419, predictive_accuracy: 0.7419, prior_entropy: 0.9972, recall: 0.7419, relative_absolute_error: 0.7706, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9095, scimark_benchmark: 1248.2043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7356, build_cpu_time: 0.0093, build_memory: 2530021278.4516, f_measure: 0.7411, kappa: 0.4795, kb_relative_information_score: 16.915, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7419, predictive_accuracy: 0.7419, prior_entropy: 0.9972, recall: 0.7419, relative_absolute_error: 0.7672, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9074, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.733, build_cpu_time: 0.0509, build_memory: 261655032.2581, f_measure: 0.7411, kappa: 0.4795, kb_relative_information_score: 19.4643, mean_absolute_error: 0.3561, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7419, predictive_accuracy: 0.7419, prior_entropy: 0.9972, recall: 0.7419, relative_absolute_error: 0.7151, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4667, root_relative_squared_error: 0.9353, scimark_benchmark: 929.2431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7356, build_cpu_time: 0.0083, build_memory: 60547420.9032, f_measure: 0.7411, kappa: 0.4795, kb_relative_information_score: 16.8003, mean_absolute_error: 0.3816, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7419, predictive_accuracy: 0.7419, prior_entropy: 0.9972, recall: 0.7419, relative_absolute_error: 0.7663, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4565, root_relative_squared_error: 0.9149, scimark_benchmark: 943.8359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.756, build_cpu_time: 0.0624, build_memory: 2313969920.2581, f_measure: 0.7567, kappa: 0.511, kb_relative_information_score: 24.7653, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.759, predictive_accuracy: 0.7581, prior_entropy: 0.9972, recall: 0.7581, relative_absolute_error: 0.6196, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4639, root_relative_squared_error: 0.9298, scimark_benchmark: 942.3742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7315, build_cpu_time: 0.0042, build_memory: 892160082.9677, f_measure: 0.7398, kappa: 0.4773, kb_relative_information_score: 15.8927, mean_absolute_error: 0.3871, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7439, predictive_accuracy: 0.7419, prior_entropy: 0.9972, recall: 0.7419, relative_absolute_error: 0.7774, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4624, root_relative_squared_error: 0.9268, scimark_benchmark: 939.0518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7393, build_cpu_time: 0.0522, build_memory: 1927999181.9355, f_measure: 0.7567, kappa: 0.511, kb_relative_information_score: 29.472, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.759, predictive_accuracy: 0.7581, prior_entropy: 0.9972, recall: 0.7581, relative_absolute_error: 0.5307, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.479, root_relative_squared_error: 0.9599, scimark_benchmark: 942.6348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7126, build_cpu_time: 0.004, build_memory: 2353265494.4516, f_measure: 0.6872, kappa: 0.3754, kb_relative_information_score: 15.041, mean_absolute_error: 0.3914, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6995, predictive_accuracy: 0.6935, prior_entropy: 0.9972, recall: 0.6935, relative_absolute_error: 0.786, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4706, root_relative_squared_error: 0.9431, scimark_benchmark: 941.5509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.744, build_cpu_time: 0.1878, build_memory: 109265318.7097, f_measure: 0.705, kappa: 0.4095, kb_relative_information_score: 16.678, mean_absolute_error: 0.3767, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7142, predictive_accuracy: 0.7097, prior_entropy: 0.9972, recall: 0.7097, relative_absolute_error: 0.7565, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4584, root_relative_squared_error: 0.9187, scimark_benchmark: 821.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7659, build_cpu_time: 0.4332, build_memory: 94158919.3548, f_measure: 0.7225, kappa: 0.4435, kb_relative_information_score: 17.4106, mean_absolute_error: 0.3738, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.729, predictive_accuracy: 0.7258, prior_entropy: 0.9972, recall: 0.7258, relative_absolute_error: 0.7507, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4475, root_relative_squared_error: 0.8968, scimark_benchmark: 942.6348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7649, build_cpu_time: 0.7463, build_memory: 1915412763.2258, f_measure: 0.7552, kappa: 0.509, kb_relative_information_score: 17.5338, mean_absolute_error: 0.3751, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7625, predictive_accuracy: 0.7581, prior_entropy: 0.9972, recall: 0.7581, relative_absolute_error: 0.7531, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4412, root_relative_squared_error: 0.8841, scimark_benchmark: 942.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7555, build_cpu_time: 1.499, build_memory: 747172793.1613, f_measure: 0.7398, kappa: 0.4773, kb_relative_information_score: 17.0399, mean_absolute_error: 0.3779, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7439, predictive_accuracy: 0.7419, prior_entropy: 0.9972, recall: 0.7419, relative_absolute_error: 0.7588, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.8883, scimark_benchmark: 935.2997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7586, build_cpu_time: 3.0177, build_memory: 1127292860.6452, f_measure: 0.7225, kappa: 0.4435, kb_relative_information_score: 16.8718, mean_absolute_error: 0.3786, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.729, predictive_accuracy: 0.7258, prior_entropy: 0.9972, recall: 0.7258, relative_absolute_error: 0.7603, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4438, root_relative_squared_error: 0.8895, scimark_benchmark: 941.2105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6447, build_cpu_time: 0.2851, build_memory: 3110824357.6774, f_measure: 0.627, kappa: 0.2503, kb_relative_information_score: 15.7331, mean_absolute_error: 0.3709, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6279, predictive_accuracy: 0.629, prior_entropy: 0.9972, recall: 0.629, relative_absolute_error: 0.7448, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.609, root_relative_squared_error: 1.2205, scimark_benchmark: 941.8931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6447, build_cpu_time: 0.2534, build_memory: 412952804, f_measure: 0.627, kappa: 0.2503, kb_relative_information_score: 15.7331, mean_absolute_error: 0.3709, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6279, predictive_accuracy: 0.629, prior_entropy: 0.9972, recall: 0.629, relative_absolute_error: 0.7448, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.609, root_relative_squared_error: 1.2205, scimark_benchmark: 946.2416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6745, build_cpu_time: 0.1283, build_memory: 805552922.3226, f_measure: 0.644, kappa: 0.2844, kb_relative_information_score: 17.9185, mean_absolute_error: 0.353, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6443, predictive_accuracy: 0.6452, prior_entropy: 0.9972, recall: 0.6452, relative_absolute_error: 0.7088, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5927, root_relative_squared_error: 1.1879, scimark_benchmark: 938.0657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6703, build_cpu_time: 0.0676, build_memory: 55275496.5161, f_measure: 0.6899, kappa: 0.378, kb_relative_information_score: 22.9675, mean_absolute_error: 0.3137, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6955, predictive_accuracy: 0.6935, prior_entropy: 0.9972, recall: 0.6935, relative_absolute_error: 0.63, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5556, root_relative_squared_error: 1.1135, scimark_benchmark: 939.6491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6755, build_cpu_time: 0.0326, build_memory: 1298217803.871, f_measure: 0.6572, kappa: 0.3126, kb_relative_information_score: 21.2752, mean_absolute_error: 0.3262, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.662, predictive_accuracy: 0.6613, prior_entropy: 0.9972, recall: 0.6613, relative_absolute_error: 0.655, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5626, root_relative_squared_error: 1.1275, scimark_benchmark: 942.6202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6755, build_cpu_time: 0.0417, build_memory: 631015040.3871, f_measure: 0.6572, kappa: 0.3126, kb_relative_information_score: 21.2752, mean_absolute_error: 0.3262, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.662, predictive_accuracy: 0.6613, prior_entropy: 0.9972, recall: 0.6613, relative_absolute_error: 0.655, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5626, root_relative_squared_error: 1.1275, scimark_benchmark: 944.0386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, build_cpu_time: 0.0737, build_memory: 754767777.4194, f_measure: 0.7378, kappa: 0.4751, kb_relative_information_score: 13.7302, mean_absolute_error: 0.4053, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7482, predictive_accuracy: 0.7419, prior_entropy: 0.9972, recall: 0.7419, relative_absolute_error: 0.8139, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4665, root_relative_squared_error: 0.935, scimark_benchmark: 936.0039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7059, build_cpu_time: 0.1973, build_memory: 1306529555.7419, f_measure: 0.7225, kappa: 0.4435, kb_relative_information_score: 14.3098, mean_absolute_error: 0.401, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.729, predictive_accuracy: 0.7258, prior_entropy: 0.9972, recall: 0.7258, relative_absolute_error: 0.8053, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4618, root_relative_squared_error: 0.9255, scimark_benchmark: 948.3771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7059, build_cpu_time: 0.145, build_memory: 241446111.4839, f_measure: 0.7225, kappa: 0.4435, kb_relative_information_score: 14.3098, mean_absolute_error: 0.401, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.729, predictive_accuracy: 0.7258, prior_entropy: 0.9972, recall: 0.7258, relative_absolute_error: 0.8053, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4618, root_relative_squared_error: 0.9255, scimark_benchmark: 942.2516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6855, build_cpu_time: 0.0822, build_memory: 929905549.5484, f_measure: 0.6899, kappa: 0.378, kb_relative_information_score: 13.1444, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6955, predictive_accuracy: 0.6935, prior_entropy: 0.9972, recall: 0.6935, relative_absolute_error: 0.8194, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4753, root_relative_squared_error: 0.9525, scimark_benchmark: 924.0851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6855, build_cpu_time: 0.0556, build_memory: 75793047.0968, f_measure: 0.6899, kappa: 0.378, kb_relative_information_score: 13.1444, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6955, predictive_accuracy: 0.6935, prior_entropy: 0.9972, recall: 0.6935, relative_absolute_error: 0.8194, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4753, root_relative_squared_error: 0.9525, scimark_benchmark: 941.7212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6959, build_cpu_time: 0.0279, build_memory: 279278169.1613, f_measure: 0.6747, kappa: 0.3467, kb_relative_information_score: 13.3112, mean_absolute_error: 0.4063, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6777, predictive_accuracy: 0.6774, prior_entropy: 0.9972, recall: 0.6774, relative_absolute_error: 0.8159, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9512, scimark_benchmark: 933.1895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6959, build_cpu_time: 0.052, build_memory: 84045330.0645, f_measure: 0.6747, kappa: 0.3467, kb_relative_information_score: 13.3112, mean_absolute_error: 0.4063, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6777, predictive_accuracy: 0.6774, prior_entropy: 0.9972, recall: 0.6774, relative_absolute_error: 0.8159, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9512, scimark_benchmark: 916.9535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6959, build_cpu_time: 0.0479, build_memory: 141605169.0323, f_measure: 0.6747, kappa: 0.3467, kb_relative_information_score: 13.3112, mean_absolute_error: 0.4063, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6777, predictive_accuracy: 0.6774, prior_entropy: 0.9972, recall: 0.6774, relative_absolute_error: 0.8159, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9512, scimark_benchmark: 947.3039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6959, build_cpu_time: 0.0285, build_memory: 52033550.3226, f_measure: 0.6747, kappa: 0.3467, kb_relative_information_score: 13.3112, mean_absolute_error: 0.4063, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6777, predictive_accuracy: 0.6774, prior_entropy: 0.9972, recall: 0.6774, relative_absolute_error: 0.8159, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9512, scimark_benchmark: 941.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, build_cpu_time: 0.0168, build_memory: 1750853012.129, f_measure: 0.6899, kappa: 0.378, kb_relative_information_score: 13.2031, mean_absolute_error: 0.4069, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6955, predictive_accuracy: 0.6935, prior_entropy: 0.9972, recall: 0.6935, relative_absolute_error: 0.8171, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.48, root_relative_squared_error: 0.9619, scimark_benchmark: 899.8576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6865, build_cpu_time: 0.0109, build_memory: 213696615.2258, f_measure: 0.6899, kappa: 0.378, kb_relative_information_score: 13.0889, mean_absolute_error: 0.405, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6955, predictive_accuracy: 0.6935, prior_entropy: 0.9972, recall: 0.6935, relative_absolute_error: 0.8132, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4873, root_relative_squared_error: 0.9766, scimark_benchmark: 945.7131,

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