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 fri_c3_500_50

Supervised Classification on fri_c3_500_50

Task 3800 Supervised Classification fri_c3_500_50 582 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:

582 Runs

Fetching data
Fetching data
Search runs in more detail run
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5496, f_measure: 0.5384, kappa: 0.0577, kb_relative_information_score: 29.1573, mean_absolute_error: 0.4607, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.5374, predictive_accuracy: 0.546, prior_entropy: 0.9882, recall: 0.546, relative_absolute_error: 0.9367, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5546, root_relative_squared_error: 1.1183, scimark_benchmark: 1325.2092, usercpu_time_millis: 190, usercpu_time_millis_testing: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5289, f_measure: 0.4744, kappa: 0.0642, kb_relative_information_score: 76.0751, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6404, predictive_accuracy: 0.586, prior_entropy: 0.9882, recall: 0.586, relative_absolute_error: 0.8417, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6434, root_relative_squared_error: 1.2975, scimark_benchmark: 1313.9994, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4068, kb_relative_information_score: 53.5502, mean_absolute_error: 0.436, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.3181, predictive_accuracy: 0.564, prior_entropy: 0.9882, recall: 0.564, relative_absolute_error: 0.8865, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6603, root_relative_squared_error: 1.3316, scimark_benchmark: 1333.5799, usercpu_time_millis: 190, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6139, f_measure: 0.6212, kappa: 0.2286, kb_relative_information_score: 112.934, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6207, predictive_accuracy: 0.622, prior_entropy: 0.9882, recall: 0.622, relative_absolute_error: 0.7685, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6148, root_relative_squared_error: 1.2398, scimark_benchmark: 1287.514, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6866, f_measure: 0.648, kappa: 0.282, kb_relative_information_score: 64.8746, mean_absolute_error: 0.4366, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6476, predictive_accuracy: 0.65, prior_entropy: 0.9882, recall: 0.65, relative_absolute_error: 0.8877, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4703, root_relative_squared_error: 0.9485, scimark_benchmark: 930.5999, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6233, f_measure: 0.6309, kappa: 0.2478, kb_relative_information_score: 123.1726, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6303, predictive_accuracy: 0.632, prior_entropy: 0.9882, recall: 0.632, relative_absolute_error: 0.7482, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6066, root_relative_squared_error: 1.2233, scimark_benchmark: 940.3347, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6745, f_measure: 0.6158, kappa: 0.2163, kb_relative_information_score: 91.2275, mean_absolute_error: 0.4066, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6151, predictive_accuracy: 0.618, prior_entropy: 0.9882, recall: 0.618, relative_absolute_error: 0.8266, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4944, root_relative_squared_error: 0.9971, scimark_benchmark: 887.6719, usercpu_time_millis: 1720, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 1550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6034, f_measure: 0.6127, kappa: 0.2093, kb_relative_information_score: 106.7908, mean_absolute_error: 0.384, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6122, predictive_accuracy: 0.616, prior_entropy: 0.9882, recall: 0.616, relative_absolute_error: 0.7807, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6197, root_relative_squared_error: 1.2496, scimark_benchmark: 1337.7959, usercpu_time_millis: 270, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8936, f_measure: 0.826, kappa: 0.646, kb_relative_information_score: 266.5742, mean_absolute_error: 0.2405, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8259, predictive_accuracy: 0.826, prior_entropy: 0.9882, recall: 0.826, relative_absolute_error: 0.489, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.7169, scimark_benchmark: 934.0566, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.8276, kappa: 0.6488, kb_relative_information_score: 271.1317, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9882, recall: 0.828, relative_absolute_error: 0.48, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7091, scimark_benchmark: 1325.942, usercpu_time_millis: 450, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8958, f_measure: 0.8256, kappa: 0.6449, kb_relative_information_score: 269.3022, mean_absolute_error: 0.2378, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8256, predictive_accuracy: 0.826, prior_entropy: 0.9882, recall: 0.826, relative_absolute_error: 0.4834, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3533, root_relative_squared_error: 0.7125, scimark_benchmark: 929.4938, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.8319, kappa: 0.658, kb_relative_information_score: 292.303, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8318, predictive_accuracy: 0.832, prior_entropy: 0.9882, recall: 0.832, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.7444, scimark_benchmark: 923.3428, usercpu_time_millis: 590, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.8383, kappa: 0.6699, kb_relative_information_score: 144.5887, mean_absolute_error: 0.3733, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8421, predictive_accuracy: 0.84, prior_entropy: 0.9882, recall: 0.84, relative_absolute_error: 0.759, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.397, root_relative_squared_error: 0.8007, scimark_benchmark: 1315.0767, usercpu_time_millis: 300, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6598, f_measure: 0.6629, kappa: 0.3174, kb_relative_information_score: 153.8883, mean_absolute_error: 0.338, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6647, predictive_accuracy: 0.662, prior_entropy: 0.9882, recall: 0.662, relative_absolute_error: 0.6872, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5814, root_relative_squared_error: 1.1724, scimark_benchmark: 1313.5726, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.8213, kappa: 0.6356, kb_relative_information_score: 270.708, mean_absolute_error: 0.2377, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8217, predictive_accuracy: 0.822, prior_entropy: 0.9882, recall: 0.822, relative_absolute_error: 0.4833, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3868, root_relative_squared_error: 0.78, scimark_benchmark: 1369.9744, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.827, kappa: 0.647, kb_relative_information_score: 291.973, mean_absolute_error: 0.2134, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8281, predictive_accuracy: 0.828, prior_entropy: 0.9882, recall: 0.828, relative_absolute_error: 0.4339, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.389, root_relative_squared_error: 0.7844, scimark_benchmark: 1355.7054, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.613, f_measure: 0.5666, kappa: 0.2108, kb_relative_information_score: 74.0274, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.651, predictive_accuracy: 0.584, prior_entropy: 0.9882, recall: 0.584, relative_absolute_error: 0.8458, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.645, root_relative_squared_error: 1.3007, scimark_benchmark: 1341.5768, usercpu_time_millis: 400, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2648, kb_relative_information_score: -77.5036, mean_absolute_error: 0.564, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.1901, predictive_accuracy: 0.436, prior_entropy: 0.9882, recall: 0.436, relative_absolute_error: 1.1467, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.751, root_relative_squared_error: 1.5145, scimark_benchmark: 1363.454, usercpu_time_millis: 530, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.811, f_measure: 0.797, kappa: 0.586, kb_relative_information_score: 286.9472, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.7975, predictive_accuracy: 0.798, prior_entropy: 0.9882, recall: 0.798, relative_absolute_error: 0.426, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.8844, scimark_benchmark: 1465.2979, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7773, f_measure: 0.7832, kappa: 0.558, kb_relative_information_score: 278.799, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.7833, predictive_accuracy: 0.784, prior_entropy: 0.9882, recall: 0.784, relative_absolute_error: 0.4392, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9372, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8133, f_measure: 0.8219, kappa: 0.6365, kb_relative_information_score: 319.7533, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8261, predictive_accuracy: 0.824, prior_entropy: 0.9882, recall: 0.824, relative_absolute_error: 0.3578, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.846, scimark_benchmark: 1353.5686, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, f_measure: 0.4068, kb_relative_information_score: -0.0446, mean_absolute_error: 0.4919, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.3181, predictive_accuracy: 0.564, prior_entropy: 0.9882, recall: 0.564, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4959, root_relative_squared_error: 1, scimark_benchmark: 1358.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.8019, kappa: 0.5972, kb_relative_information_score: 296.7382, mean_absolute_error: 0.1993, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8019, predictive_accuracy: 0.802, prior_entropy: 0.9882, recall: 0.802, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.8622, scimark_benchmark: 1353.5686, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6793, f_measure: 0.6349, kappa: 0.26, kb_relative_information_score: 126.9447, mean_absolute_error: 0.3644, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6363, predictive_accuracy: 0.634, prior_entropy: 0.9882, recall: 0.634, relative_absolute_error: 0.741, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5618, root_relative_squared_error: 1.1329, scimark_benchmark: 931.2336, usercpu_time_millis: 360, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6764, f_measure: 0.6509, kappa: 0.2887, kb_relative_information_score: 137.2312, mean_absolute_error: 0.3562, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6504, predictive_accuracy: 0.652, prior_entropy: 0.9882, recall: 0.652, relative_absolute_error: 0.7242, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5547, root_relative_squared_error: 1.1187, scimark_benchmark: 945.6434, usercpu_time_millis: 680, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.675, f_measure: 0.6625, kappa: 0.3118, kb_relative_information_score: 118.4859, mean_absolute_error: 0.379, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.662, predictive_accuracy: 0.664, prior_entropy: 0.9882, recall: 0.664, relative_absolute_error: 0.7705, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5184, root_relative_squared_error: 1.0454, scimark_benchmark: 876.8277, usercpu_time_millis: 370, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6796, f_measure: 0.6499, kappa: 0.2857, kb_relative_information_score: 106.8819, mean_absolute_error: 0.3909, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6495, predictive_accuracy: 0.652, prior_entropy: 0.9882, recall: 0.652, relative_absolute_error: 0.7948, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5081, root_relative_squared_error: 1.0245, scimark_benchmark: 923.7642, usercpu_time_millis: 370, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6796, f_measure: 0.6499, kappa: 0.2857, kb_relative_information_score: 106.8819, mean_absolute_error: 0.3909, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6495, predictive_accuracy: 0.652, prior_entropy: 0.9882, recall: 0.652, relative_absolute_error: 0.7948, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5081, root_relative_squared_error: 1.0245, scimark_benchmark: 894.7455, usercpu_time_millis: 380, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.8613, kappa: 0.7172, kb_relative_information_score: 350.6106, mean_absolute_error: 0.1483, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8623, predictive_accuracy: 0.862, prior_entropy: 0.9882, recall: 0.862, relative_absolute_error: 0.3014, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3412, root_relative_squared_error: 0.6881, scimark_benchmark: 940.2922, usercpu_time_millis: 1620, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.8468, kappa: 0.6874, kb_relative_information_score: 330.1845, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.849, predictive_accuracy: 0.848, prior_entropy: 0.9882, recall: 0.848, relative_absolute_error: 0.3438, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.7233, scimark_benchmark: 943.2817, usercpu_time_millis: 780, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, f_measure: 0.811, kappa: 0.6145, kb_relative_information_score: 293.7487, mean_absolute_error: 0.2056, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8117, predictive_accuracy: 0.812, prior_entropy: 0.9882, recall: 0.812, relative_absolute_error: 0.418, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.7688, scimark_benchmark: 942.1229, usercpu_time_millis: 380, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.846, f_measure: 0.7836, kappa: 0.5582, kb_relative_information_score: 255.5632, mean_absolute_error: 0.2453, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.7867, predictive_accuracy: 0.786, prior_entropy: 0.9882, recall: 0.786, relative_absolute_error: 0.4987, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.8199, scimark_benchmark: 933.8635, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.7546, kappa: 0.5007, kb_relative_information_score: 224.1557, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.7705, predictive_accuracy: 0.762, prior_entropy: 0.9882, recall: 0.762, relative_absolute_error: 0.5633, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.451, root_relative_squared_error: 0.9094, scimark_benchmark: 938.4278, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.8372, kappa: 0.668, kb_relative_information_score: 328.1056, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.838, predictive_accuracy: 0.838, prior_entropy: 0.9882, recall: 0.838, relative_absolute_error: 0.3494, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3351, root_relative_squared_error: 0.6758, scimark_benchmark: 933.8635, usercpu_time_millis: 1130, usercpu_time_millis_training: 1130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8655, kappa: 0.7257, kb_relative_information_score: 324.3657, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8661, predictive_accuracy: 0.866, prior_entropy: 0.9882, recall: 0.866, relative_absolute_error: 0.3672, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.6456, scimark_benchmark: 924.6116, usercpu_time_millis: 410, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.8755, kappa: 0.7463, kb_relative_information_score: 310.3883, mean_absolute_error: 0.1982, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8761, predictive_accuracy: 0.876, prior_entropy: 0.9882, recall: 0.876, relative_absolute_error: 0.4029, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3119, root_relative_squared_error: 0.629, scimark_benchmark: 924.6116, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8534, kappa: 0.7011, kb_relative_information_score: 282.5841, mean_absolute_error: 0.2283, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.854, predictive_accuracy: 0.854, prior_entropy: 0.9882, recall: 0.854, relative_absolute_error: 0.4642, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.6588, scimark_benchmark: 947.9494, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9005, f_measure: 0.8214, kappa: 0.636, kb_relative_information_score: 235.618, mean_absolute_error: 0.2775, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8216, predictive_accuracy: 0.822, prior_entropy: 0.9882, recall: 0.822, relative_absolute_error: 0.5643, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3545, root_relative_squared_error: 0.715, scimark_benchmark: 931.2336, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, f_measure: 0.4068, kb_relative_information_score: -0.0446, mean_absolute_error: 0.4919, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.3181, predictive_accuracy: 0.564, prior_entropy: 0.9882, recall: 0.564, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4959, root_relative_squared_error: 1, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6805, f_measure: 0.5476, kappa: 0.1886, kb_relative_information_score: 52.5575, mean_absolute_error: 0.4417, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6438, predictive_accuracy: 0.57, prior_entropy: 0.9882, recall: 0.57, relative_absolute_error: 0.8981, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5093, root_relative_squared_error: 1.0271, scimark_benchmark: 934.5243, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.8215, kappa: 0.6364, kb_relative_information_score: 252.2382, mean_absolute_error: 0.2585, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8216, predictive_accuracy: 0.822, prior_entropy: 0.9882, recall: 0.822, relative_absolute_error: 0.5255, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3544, root_relative_squared_error: 0.7146, scimark_benchmark: 933.8635, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8474, f_measure: 0.7789, kappa: 0.5549, kb_relative_information_score: 175.0702, mean_absolute_error: 0.3352, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.7843, predictive_accuracy: 0.778, prior_entropy: 0.9882, recall: 0.778, relative_absolute_error: 0.6815, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.399, root_relative_squared_error: 0.8046, scimark_benchmark: 929.566, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, f_measure: 0.4068, kb_relative_information_score: -0.0446, mean_absolute_error: 0.4919, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.3181, predictive_accuracy: 0.564, prior_entropy: 0.9882, recall: 0.564, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4959, root_relative_squared_error: 1, scimark_benchmark: 929.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9001, f_measure: 0.8274, kappa: 0.6481, kb_relative_information_score: 235.099, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8277, predictive_accuracy: 0.828, prior_entropy: 0.9882, recall: 0.828, relative_absolute_error: 0.566, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3547, root_relative_squared_error: 0.7153, scimark_benchmark: 911.0478, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4068, kb_relative_information_score: 53.5502, mean_absolute_error: 0.436, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.3181, predictive_accuracy: 0.564, prior_entropy: 0.9882, recall: 0.564, relative_absolute_error: 0.8865, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6603, root_relative_squared_error: 1.3316, scimark_benchmark: 947.9494, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.8019, kappa: 0.5972, kb_relative_information_score: 296.7382, mean_absolute_error: 0.1993, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8019, predictive_accuracy: 0.802, prior_entropy: 0.9882, recall: 0.802, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.8622, scimark_benchmark: 904.3001, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.8259, kappa: 0.6457, kb_relative_information_score: 158.5713, mean_absolute_error: 0.3593, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8258, predictive_accuracy: 0.826, prior_entropy: 0.9882, recall: 0.826, relative_absolute_error: 0.7306, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3893, root_relative_squared_error: 0.7851, scimark_benchmark: 947.9494, usercpu_time_millis: 1530, usercpu_time_millis_training: 1530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6815, f_measure: 0.6474, kappa: 0.2856, kb_relative_information_score: 40.1938, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6634, predictive_accuracy: 0.662, prior_entropy: 0.9882, recall: 0.662, relative_absolute_error: 0.9353, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4736, root_relative_squared_error: 0.955, scimark_benchmark: 917.7039, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4068, kb_relative_information_score: 53.5502, mean_absolute_error: 0.436, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.3181, predictive_accuracy: 0.564, prior_entropy: 0.9882, recall: 0.564, relative_absolute_error: 0.8865, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6603, root_relative_squared_error: 1.3316, scimark_benchmark: 941.7954, usercpu_time_millis: 230, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5294, f_measure: 0.509, kappa: 0, kb_relative_information_score: 7.8192, mean_absolute_error: 0.4795, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.5082, predictive_accuracy: 0.51, prior_entropy: 0.9882, recall: 0.51, relative_absolute_error: 0.9749, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5982, root_relative_squared_error: 1.2064, scimark_benchmark: 901.0726, usercpu_time_millis: 10110, usercpu_time_millis_testing: 10110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, f_measure: 0.8632, kappa: 0.7209, kb_relative_information_score: 360.3754, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8647, predictive_accuracy: 0.864, prior_entropy: 0.9882, recall: 0.864, relative_absolute_error: 0.2772, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.7338, scimark_benchmark: 1078.4764, usercpu_time_millis: 8600, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 8560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8863, f_measure: 0.875, kappa: 0.7449, kb_relative_information_score: 373.7224, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8776, predictive_accuracy: 0.876, prior_entropy: 0.9882, recall: 0.876, relative_absolute_error: 0.2504, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3493, root_relative_squared_error: 0.7044, scimark_benchmark: 945.9253, usercpu_time_millis: 11460, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 11420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.8357, kappa: 0.6655, kb_relative_information_score: 329.9413, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8357, predictive_accuracy: 0.836, prior_entropy: 0.9882, recall: 0.836, relative_absolute_error: 0.3391, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.377, root_relative_squared_error: 0.7602, scimark_benchmark: 918.4924, usercpu_time_millis: 1570, usercpu_time_millis_training: 1570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.634, f_measure: 0.5981, kappa: 0.183, kb_relative_information_score: 63.4525, mean_absolute_error: 0.433, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.5982, predictive_accuracy: 0.598, prior_entropy: 0.9882, recall: 0.598, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5089, root_relative_squared_error: 1.0263, scimark_benchmark: 948.1045, usercpu_time_millis: 800, usercpu_time_millis_training: 800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.8557, kappa: 0.706, kb_relative_information_score: 342.5379, mean_absolute_error: 0.1552, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8558, predictive_accuracy: 0.856, prior_entropy: 0.9882, recall: 0.856, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7285, scimark_benchmark: 938.9865, usercpu_time_millis: 1530, usercpu_time_millis_training: 1530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.8276, kappa: 0.6488, kb_relative_information_score: 271.1317, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9882, recall: 0.828, relative_absolute_error: 0.48, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7091, scimark_benchmark: 915.2795, usercpu_time_millis: 670, usercpu_time_millis_testing: 590, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4068, kb_relative_information_score: 53.5502, mean_absolute_error: 0.436, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.3181, predictive_accuracy: 0.564, prior_entropy: 0.9882, recall: 0.564, relative_absolute_error: 0.8865, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6603, root_relative_squared_error: 1.3316, scimark_benchmark: 934.6252, usercpu_time_millis: 370, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5952, f_measure: 0.6049, kappa: 0.1969, kb_relative_information_score: 108.8386, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6124, predictive_accuracy: 0.618, prior_entropy: 0.9882, recall: 0.618, relative_absolute_error: 0.7767, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6181, root_relative_squared_error: 1.2464, scimark_benchmark: 939.0833, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.636, build_cpu_time: 0.486, build_memory: 921639771.2, f_measure: 0.6226, kappa: 0.2307, kb_relative_information_score: 79.0945, mean_absolute_error: 0.4201, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6219, predictive_accuracy: 0.624, prior_entropy: 0.9882, recall: 0.624, relative_absolute_error: 0.8542, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5088, root_relative_squared_error: 1.026, scimark_benchmark: 945.1987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.636, build_cpu_time: 0.5468, build_memory: 536537414.4, f_measure: 0.6226, kappa: 0.2307, kb_relative_information_score: 79.0945, mean_absolute_error: 0.4201, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6219, predictive_accuracy: 0.624, prior_entropy: 0.9882, recall: 0.624, relative_absolute_error: 0.8542, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5088, root_relative_squared_error: 1.026, scimark_benchmark: 941.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.636, build_cpu_time: 0.5615, build_memory: 684542578.4, f_measure: 0.6226, kappa: 0.2307, kb_relative_information_score: 79.0945, mean_absolute_error: 0.4201, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6219, predictive_accuracy: 0.624, prior_entropy: 0.9882, recall: 0.624, relative_absolute_error: 0.8542, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5088, root_relative_squared_error: 1.026, scimark_benchmark: 926.9332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6366, build_cpu_time: 0.4741, build_memory: 1328882195.2, f_measure: 0.6226, kappa: 0.2307, kb_relative_information_score: 78.8875, mean_absolute_error: 0.4202, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6219, predictive_accuracy: 0.624, prior_entropy: 0.9882, recall: 0.624, relative_absolute_error: 0.8543, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5086, root_relative_squared_error: 1.0257, scimark_benchmark: 940.9906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, build_cpu_time: 0.2392, build_memory: 1123620244.8, f_measure: 0.8419, kappa: 0.6782, kb_relative_information_score: 321.3556, mean_absolute_error: 0.1784, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8418, predictive_accuracy: 0.842, prior_entropy: 0.9882, recall: 0.842, relative_absolute_error: 0.3628, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.7392, scimark_benchmark: 943.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, build_cpu_time: 0.5463, build_memory: 113475210.4, f_measure: 0.8237, kappa: 0.641, kb_relative_information_score: 310.3532, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8236, predictive_accuracy: 0.824, prior_entropy: 0.9882, recall: 0.824, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.7913, scimark_benchmark: 926.9332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, build_cpu_time: 1.0051, build_memory: 71782160, f_measure: 0.8375, kappa: 0.6687, kb_relative_information_score: 331.3925, mean_absolute_error: 0.1652, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8377, predictive_accuracy: 0.838, prior_entropy: 0.9882, recall: 0.838, relative_absolute_error: 0.3358, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.7632, scimark_benchmark: 942.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, build_cpu_time: 1.9318, build_memory: 69825669.6, f_measure: 0.8436, kappa: 0.6815, kb_relative_information_score: 342.4167, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8437, predictive_accuracy: 0.844, prior_entropy: 0.9882, recall: 0.844, relative_absolute_error: 0.313, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.374, root_relative_squared_error: 0.7542, scimark_benchmark: 942.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9213, build_cpu_time: 3.4253, build_memory: 19895768, f_measure: 0.8576, kappa: 0.7099, kb_relative_information_score: 351.783, mean_absolute_error: 0.1452, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8578, predictive_accuracy: 0.858, prior_entropy: 0.9882, recall: 0.858, relative_absolute_error: 0.2953, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.368, root_relative_squared_error: 0.7421, scimark_benchmark: 942.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6589, build_cpu_time: 0.0118, build_memory: 497021345.6, f_measure: 0.6642, kappa: 0.3175, kb_relative_information_score: 155.936, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6644, predictive_accuracy: 0.664, prior_entropy: 0.9882, recall: 0.664, relative_absolute_error: 0.6831, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5797, root_relative_squared_error: 1.1689, scimark_benchmark: 907.3828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6589, build_cpu_time: 0.0099, build_memory: 135833373.6, f_measure: 0.6642, kappa: 0.3175, kb_relative_information_score: 155.936, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6644, predictive_accuracy: 0.664, prior_entropy: 0.9882, recall: 0.664, relative_absolute_error: 0.6831, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5797, root_relative_squared_error: 1.1689, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6589, build_cpu_time: 0.0095, build_memory: 2367079956, f_measure: 0.6642, kappa: 0.3175, kb_relative_information_score: 155.936, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6644, predictive_accuracy: 0.664, prior_entropy: 0.9882, recall: 0.664, relative_absolute_error: 0.6831, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5797, root_relative_squared_error: 1.1689, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6589, build_cpu_time: 0.0078, build_memory: 2278916280, f_measure: 0.6642, kappa: 0.3175, kb_relative_information_score: 155.936, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6644, predictive_accuracy: 0.664, prior_entropy: 0.9882, recall: 0.664, relative_absolute_error: 0.6831, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5797, root_relative_squared_error: 1.1689, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6589, build_cpu_time: 0.0052, build_memory: 1085190102.4, f_measure: 0.6642, kappa: 0.3175, kb_relative_information_score: 155.936, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6644, predictive_accuracy: 0.664, prior_entropy: 0.9882, recall: 0.664, relative_absolute_error: 0.6831, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5797, root_relative_squared_error: 1.1689, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, build_cpu_time: 0.289, build_memory: 638770151.2, f_measure: 0.8372, kappa: 0.668, kb_relative_information_score: 147.8992, mean_absolute_error: 0.3709, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.838, predictive_accuracy: 0.838, prior_entropy: 0.9882, recall: 0.838, relative_absolute_error: 0.7541, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.7941, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, build_cpu_time: 0.2782, build_memory: 945637460.8, f_measure: 0.8372, kappa: 0.668, kb_relative_information_score: 147.8992, mean_absolute_error: 0.3709, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.838, predictive_accuracy: 0.838, prior_entropy: 0.9882, recall: 0.838, relative_absolute_error: 0.7541, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.7941, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, build_cpu_time: 0.2981, build_memory: 1045516933.6, f_measure: 0.8372, kappa: 0.668, kb_relative_information_score: 147.8992, mean_absolute_error: 0.3709, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.838, predictive_accuracy: 0.838, prior_entropy: 0.9882, recall: 0.838, relative_absolute_error: 0.7541, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.7941, scimark_benchmark: 920.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, build_cpu_time: 0.2967, build_memory: 749725568.8, f_measure: 0.8372, kappa: 0.668, kb_relative_information_score: 147.8992, mean_absolute_error: 0.3709, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.838, predictive_accuracy: 0.838, prior_entropy: 0.9882, recall: 0.838, relative_absolute_error: 0.7541, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.7941, scimark_benchmark: 940.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, build_cpu_time: 0.2694, build_memory: 645303286.4, f_measure: 0.8372, kappa: 0.668, kb_relative_information_score: 147.8992, mean_absolute_error: 0.3709, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.838, predictive_accuracy: 0.838, prior_entropy: 0.9882, recall: 0.838, relative_absolute_error: 0.7541, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.7941, scimark_benchmark: 915.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8465, build_cpu_time: 0.9535, build_memory: 755324775.2, f_measure: 0.8026, kappa: 0.5973, kb_relative_information_score: 301.5053, mean_absolute_error: 0.1937, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8039, predictive_accuracy: 0.804, prior_entropy: 0.9882, recall: 0.804, relative_absolute_error: 0.3939, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.431, root_relative_squared_error: 0.8691, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, build_cpu_time: 0.5178, build_memory: 1260058371.2, f_measure: 0.7836, kappa: 0.5582, kb_relative_information_score: 276.9268, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.7867, predictive_accuracy: 0.786, prior_entropy: 0.9882, recall: 0.786, relative_absolute_error: 0.4446, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4484, root_relative_squared_error: 0.9042, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, build_cpu_time: 0.3161, build_memory: 739937728.8, f_measure: 0.7671, kappa: 0.5253, kb_relative_information_score: 257.6407, mean_absolute_error: 0.2375, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.7672, predictive_accuracy: 0.768, prior_entropy: 0.9882, recall: 0.768, relative_absolute_error: 0.4829, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.9295, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, build_cpu_time: 0.1128, build_memory: 1161218969.6, f_measure: 0.7507, kappa: 0.4915, kb_relative_information_score: 237.1684, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.751, predictive_accuracy: 0.752, prior_entropy: 0.9882, recall: 0.752, relative_absolute_error: 0.5245, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4654, root_relative_squared_error: 0.9386, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8109, build_cpu_time: 0.053, build_memory: 462554881.6, f_measure: 0.7472, kappa: 0.4849, kb_relative_information_score: 219.6485, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.7471, predictive_accuracy: 0.748, prior_entropy: 0.9882, recall: 0.748, relative_absolute_error: 0.5641, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4512, root_relative_squared_error: 0.9098, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, build_cpu_time: 0.2094, build_memory: 808618199.2, f_measure: 0.6488, kappa: 0.2842, kb_relative_information_score: 108.3422, mean_absolute_error: 0.3899, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6483, predictive_accuracy: 0.65, prior_entropy: 0.9882, recall: 0.65, relative_absolute_error: 0.7927, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5028, root_relative_squared_error: 1.014, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6796, build_cpu_time: 0.2709, build_memory: 1044136924.8, f_measure: 0.6499, kappa: 0.2857, kb_relative_information_score: 106.8819, mean_absolute_error: 0.3909, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6495, predictive_accuracy: 0.652, prior_entropy: 0.9882, recall: 0.652, relative_absolute_error: 0.7948, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5081, root_relative_squared_error: 1.0245, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6796, build_cpu_time: 0.2684, build_memory: 838155552.8, f_measure: 0.6499, kappa: 0.2857, kb_relative_information_score: 106.8819, mean_absolute_error: 0.3909, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6495, predictive_accuracy: 0.652, prior_entropy: 0.9882, recall: 0.652, relative_absolute_error: 0.7948, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5081, root_relative_squared_error: 1.0245, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6796, build_cpu_time: 0.3027, build_memory: 1595233935.2, f_measure: 0.6499, kappa: 0.2857, kb_relative_information_score: 106.8819, mean_absolute_error: 0.3909, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6495, predictive_accuracy: 0.652, prior_entropy: 0.9882, recall: 0.652, relative_absolute_error: 0.7948, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5081, root_relative_squared_error: 1.0245, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6796, build_cpu_time: 0.2788, build_memory: 2991578211.2, f_measure: 0.6499, kappa: 0.2857, kb_relative_information_score: 106.8819, mean_absolute_error: 0.3909, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.6495, predictive_accuracy: 0.652, prior_entropy: 0.9882, recall: 0.652, relative_absolute_error: 0.7948, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5081, root_relative_squared_error: 1.0245, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, build_cpu_time: 81.2703, build_memory: 18988828, f_measure: 0.7662, kappa: 0.5249, kb_relative_information_score: 243.1357, mean_absolute_error: 0.2553, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.7664, predictive_accuracy: 0.766, prior_entropy: 0.9882, recall: 0.766, relative_absolute_error: 0.519, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.428, root_relative_squared_error: 0.8631, scimark_benchmark: 899.4388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, build_cpu_time: 157.6407, build_memory: 21335498.4, f_measure: 0.8033, kappa: 0.599, kb_relative_information_score: 289.4138, mean_absolute_error: 0.2076, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8035, predictive_accuracy: 0.804, prior_entropy: 0.9882, recall: 0.804, relative_absolute_error: 0.422, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8335, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9001, build_cpu_time: 306.6135, build_memory: 814595013.6, f_measure: 0.8312, kappa: 0.6559, kb_relative_information_score: 324.7112, mean_absolute_error: 0.1716, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8318, predictive_accuracy: 0.832, prior_entropy: 0.9882, recall: 0.832, relative_absolute_error: 0.3489, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3913, root_relative_squared_error: 0.7891, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8926, build_cpu_time: 615.2498, build_memory: 788473153.6, f_measure: 0.8517, kappa: 0.6978, kb_relative_information_score: 342.7566, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8517, predictive_accuracy: 0.852, prior_entropy: 0.9882, recall: 0.852, relative_absolute_error: 0.3134, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3801, root_relative_squared_error: 0.7666, scimark_benchmark: 943.8134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8656, build_cpu_time: 1439.6477, build_memory: 722243015.2, f_measure: 0.8294, kappa: 0.6523, kb_relative_information_score: 326.9925, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8297, predictive_accuracy: 0.83, prior_entropy: 0.9882, recall: 0.83, relative_absolute_error: 0.3434, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.817, scimark_benchmark: 940.3132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, build_cpu_time: 201.347, build_memory: 299989285.6, f_measure: 0.8475, kappa: 0.6893, kb_relative_information_score: 343.7383, mean_absolute_error: 0.1525, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8478, predictive_accuracy: 0.848, prior_entropy: 0.9882, recall: 0.848, relative_absolute_error: 0.31, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3878, root_relative_squared_error: 0.782, scimark_benchmark: 943.4163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, build_cpu_time: 95.0948, build_memory: 410981964, f_measure: 0.8417, kappa: 0.6776, kb_relative_information_score: 338.4193, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8417, predictive_accuracy: 0.842, prior_entropy: 0.9882, recall: 0.842, relative_absolute_error: 0.3207, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.7924, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, build_cpu_time: 52.5701, build_memory: 265469687.2, f_measure: 0.8299, kappa: 0.6538, kb_relative_information_score: 324.4694, mean_absolute_error: 0.1714, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8298, predictive_accuracy: 0.83, prior_entropy: 0.9882, recall: 0.83, relative_absolute_error: 0.3485, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.8184, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, build_cpu_time: 23.8418, build_memory: 111298385.6, f_measure: 0.8198, kappa: 0.6332, kb_relative_information_score: 312.0836, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8197, predictive_accuracy: 0.82, prior_entropy: 0.9882, recall: 0.82, relative_absolute_error: 0.3734, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.8256, scimark_benchmark: 916.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, build_cpu_time: 11.6922, build_memory: 1392076568, f_measure: 0.801, kappa: 0.5942, kb_relative_information_score: 296.7559, mean_absolute_error: 0.1984, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8016, predictive_accuracy: 0.802, prior_entropy: 0.9882, recall: 0.802, relative_absolute_error: 0.4033, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8414, scimark_benchmark: 874.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, build_cpu_time: 4.3537, build_memory: 765785699.2, f_measure: 0.8494, kappa: 0.6929, kb_relative_information_score: 340.7575, mean_absolute_error: 0.1561, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8499, predictive_accuracy: 0.85, prior_entropy: 0.9882, recall: 0.85, relative_absolute_error: 0.3174, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.7357, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9215, build_cpu_time: 9.4992, build_memory: 191405927.2, f_measure: 0.856, kappa: 0.7072, kb_relative_information_score: 354.6068, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.856, predictive_accuracy: 0.856, prior_entropy: 0.9882, recall: 0.856, relative_absolute_error: 0.2888, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.7248, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, build_cpu_time: 16.714, build_memory: 571818030.4, f_measure: 0.8659, kappa: 0.7271, kb_relative_information_score: 359.6998, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.4918, number_of_instances: 500, precision: 0.8658, predictive_accuracy: 0.866, prior_entropy: 0.9882, recall: 0.866, relative_absolute_error: 0.2796, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3577, root_relative_squared_error: 0.7214, scimark_benchmark: 924.2473,

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