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_250_50

Supervised Classification on fri_c3_250_50

Task 3737 Supervised Classification fri_c3_250_50 547 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:

547 Runs

Fetching data
Fetching data
Search runs in more detail run
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, build_cpu_time: 1.4913, build_memory: 874727902.4, f_measure: 0.8679, kappa: 0.7307, kb_relative_information_score: 178.6668, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8679, predictive_accuracy: 0.868, prior_entropy: 0.9868, recall: 0.868, relative_absolute_error: 0.2841, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3582, root_relative_squared_error: 0.7232, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, build_cpu_time: 1.1634, build_memory: 1144333420, f_measure: 0.8597, kappa: 0.7138, kb_relative_information_score: 176.6172, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8597, predictive_accuracy: 0.86, prior_entropy: 0.9868, recall: 0.86, relative_absolute_error: 0.2908, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7235, scimark_benchmark: 943.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, build_cpu_time: 0.6659, build_memory: 806610654.4, f_measure: 0.8674, kappa: 0.7289, kb_relative_information_score: 179.2581, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8682, predictive_accuracy: 0.868, prior_entropy: 0.9868, recall: 0.868, relative_absolute_error: 0.2816, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3494, root_relative_squared_error: 0.7053, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, build_cpu_time: 0.3277, build_memory: 323984664, f_measure: 0.8308, kappa: 0.6538, kb_relative_information_score: 165.4768, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8323, predictive_accuracy: 0.832, prior_entropy: 0.9868, recall: 0.832, relative_absolute_error: 0.337, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.7547, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9026, build_cpu_time: 0.2344, build_memory: 205897740, f_measure: 0.8398, kappa: 0.6732, kb_relative_information_score: 165.7033, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8397, predictive_accuracy: 0.84, prior_entropy: 0.9868, recall: 0.84, relative_absolute_error: 0.3357, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.7802, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, build_cpu_time: 0.4272, build_memory: 649623689.6, f_measure: 0.8597, kappa: 0.7138, kb_relative_information_score: 177.7387, mean_absolute_error: 0.1409, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8597, predictive_accuracy: 0.86, prior_entropy: 0.9868, recall: 0.86, relative_absolute_error: 0.2871, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.7471, scimark_benchmark: 943.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, build_cpu_time: 0.9733, build_memory: 1389744247.2, f_measure: 0.8793, kappa: 0.7533, kb_relative_information_score: 186.6639, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8805, predictive_accuracy: 0.88, prior_entropy: 0.9868, recall: 0.88, relative_absolute_error: 0.2518, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.701, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, build_cpu_time: 1.7202, build_memory: 1715523544.8, f_measure: 0.8793, kappa: 0.7533, kb_relative_information_score: 189.7611, mean_absolute_error: 0.1168, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8805, predictive_accuracy: 0.88, prior_entropy: 0.9868, recall: 0.88, relative_absolute_error: 0.238, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3381, root_relative_squared_error: 0.6825, scimark_benchmark: 931.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4865, build_cpu_time: 0.0433, build_memory: 133680927.2, f_measure: 0.496, kappa: -0.027, kb_relative_information_score: -8.7882, mean_absolute_error: 0.504, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.496, predictive_accuracy: 0.496, prior_entropy: 0.9868, recall: 0.496, relative_absolute_error: 1.0268, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.7068, root_relative_squared_error: 1.4269, scimark_benchmark: 919.8064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4865, build_cpu_time: 0.0295, build_memory: 814516307.2, f_measure: 0.496, kappa: -0.027, kb_relative_information_score: -8.7882, mean_absolute_error: 0.504, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.496, predictive_accuracy: 0.496, prior_entropy: 0.9868, recall: 0.496, relative_absolute_error: 1.0268, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.7068, root_relative_squared_error: 1.4269, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4865, build_cpu_time: 0.0253, build_memory: 435692788, f_measure: 0.496, kappa: -0.027, kb_relative_information_score: -8.7882, mean_absolute_error: 0.504, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.496, predictive_accuracy: 0.496, prior_entropy: 0.9868, recall: 0.496, relative_absolute_error: 1.0268, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.7068, root_relative_squared_error: 1.4269, scimark_benchmark: 923.8078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, build_cpu_time: 0.3423, build_memory: 54723532.8, f_measure: 0.8597, kappa: 0.7138, kb_relative_information_score: 164.952, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8597, predictive_accuracy: 0.86, prior_entropy: 0.9868, recall: 0.86, relative_absolute_error: 0.3448, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3346, root_relative_squared_error: 0.6755, scimark_benchmark: 943.4024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, build_cpu_time: 0.6752, build_memory: 383238618.4, f_measure: 0.8437, kappa: 0.6811, kb_relative_information_score: 167.9781, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8437, predictive_accuracy: 0.844, prior_entropy: 0.9868, recall: 0.844, relative_absolute_error: 0.3283, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3491, root_relative_squared_error: 0.7048, scimark_benchmark: 945.0554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, build_cpu_time: 4.3453, build_memory: 1141462315.2, f_measure: 0.8355, kappa: 0.664, kb_relative_information_score: 165.7371, mean_absolute_error: 0.1638, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8356, predictive_accuracy: 0.836, prior_entropy: 0.9868, recall: 0.836, relative_absolute_error: 0.3338, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.8028, scimark_benchmark: 914.1182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, build_cpu_time: 2.0449, build_memory: 940966837.6, f_measure: 0.8039, kappa: 0.6002, kb_relative_information_score: 149.8054, mean_absolute_error: 0.1949, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8038, predictive_accuracy: 0.804, prior_entropy: 0.9868, recall: 0.804, relative_absolute_error: 0.397, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.8578, scimark_benchmark: 946.6735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, build_cpu_time: 1.0368, build_memory: 319436840.8, f_measure: 0.8039, kappa: 0.6002, kb_relative_information_score: 147.2196, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8038, predictive_accuracy: 0.804, prior_entropy: 0.9868, recall: 0.804, relative_absolute_error: 0.409, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.8613, scimark_benchmark: 939.6177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, build_cpu_time: 0.651, build_memory: 1144000764.8, f_measure: 0.7915, kappa: 0.5743, kb_relative_information_score: 141.3717, mean_absolute_error: 0.2131, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.7914, predictive_accuracy: 0.792, prior_entropy: 0.9868, recall: 0.792, relative_absolute_error: 0.4342, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8378, scimark_benchmark: 906.4221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6251, build_cpu_time: 0.4536, build_memory: 964641932, f_measure: 0.589, kappa: 0.1651, kb_relative_information_score: 33.8665, mean_absolute_error: 0.4241, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.5904, predictive_accuracy: 0.588, prior_entropy: 0.9868, recall: 0.588, relative_absolute_error: 0.8641, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5434, root_relative_squared_error: 1.097, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, build_cpu_time: 0.6002, build_memory: 572274063.2, f_measure: 0.8277, kappa: 0.6483, kb_relative_information_score: 163.032, mean_absolute_error: 0.1699, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9868, recall: 0.828, relative_absolute_error: 0.3462, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3854, root_relative_squared_error: 0.7781, scimark_benchmark: 945.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, build_cpu_time: 0.0572, build_memory: 345489177.6, f_measure: 0.8523, kappa: 0.7001, kb_relative_information_score: 148.1775, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8534, predictive_accuracy: 0.852, prior_entropy: 0.9868, recall: 0.852, relative_absolute_error: 0.4227, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.655, scimark_benchmark: 913.4921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4865, build_cpu_time: 0.0003, build_memory: 641616812.8, f_measure: 0.496, kappa: -0.027, kb_relative_information_score: -8.7882, mean_absolute_error: 0.504, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.496, predictive_accuracy: 0.496, prior_entropy: 0.9868, recall: 0.496, relative_absolute_error: 1.0268, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.7068, root_relative_squared_error: 1.4269, scimark_benchmark: 932.1837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0313, build_memory: 844546626.4, f_measure: 0.4115, kb_relative_information_score: 28.1628, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.3226, predictive_accuracy: 0.568, prior_entropy: 0.9868, recall: 0.568, relative_absolute_error: 0.8802, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6573, root_relative_squared_error: 1.3269, scimark_benchmark: 942.9279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6114, build_cpu_time: 0.0295, build_memory: 330597018.4, f_measure: 0.6213, kappa: 0.2252, kb_relative_information_score: 56.9126, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6205, predictive_accuracy: 0.624, prior_entropy: 0.9868, recall: 0.624, relative_absolute_error: 0.7661, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6132, root_relative_squared_error: 1.2379, scimark_benchmark: 915.7861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6022, build_cpu_time: 0.0653, build_memory: 320839286.4, f_measure: 0.5975, kappa: 0.199, kb_relative_information_score: 42.5377, mean_absolute_error: 0.404, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6109, predictive_accuracy: 0.596, prior_entropy: 0.9868, recall: 0.596, relative_absolute_error: 0.8231, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6356, root_relative_squared_error: 1.2831, scimark_benchmark: 948.6597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6281, build_cpu_time: 0.0275, build_memory: 157467858.4, f_measure: 0.5947, kappa: 0.1722, kb_relative_information_score: 33.4951, mean_absolute_error: 0.4265, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.5939, predictive_accuracy: 0.596, prior_entropy: 0.9868, recall: 0.596, relative_absolute_error: 0.8689, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5211, root_relative_squared_error: 1.0519, scimark_benchmark: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6354, build_cpu_time: 0.0068, build_memory: 24875336.8, f_measure: 0.6049, kappa: 0.1975, kb_relative_information_score: 31.079, mean_absolute_error: 0.4311, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6063, predictive_accuracy: 0.604, prior_entropy: 0.9868, recall: 0.604, relative_absolute_error: 0.8784, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5045, root_relative_squared_error: 1.0184, scimark_benchmark: 945.8881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, build_cpu_time: 0.0574, build_memory: 75785144, f_measure: 0.8566, kappa: 0.7098, kb_relative_information_score: 120.7375, mean_absolute_error: 0.2725, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8599, predictive_accuracy: 0.856, prior_entropy: 0.9868, recall: 0.856, relative_absolute_error: 0.5552, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.6957, scimark_benchmark: 940.7816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, build_cpu_time: 0.0411, build_memory: 26564186.4, f_measure: 0.8566, kappa: 0.7098, kb_relative_information_score: 120.7375, mean_absolute_error: 0.2725, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8599, predictive_accuracy: 0.856, prior_entropy: 0.9868, recall: 0.856, relative_absolute_error: 0.5552, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.6957, scimark_benchmark: 933.4176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7894, build_cpu_time: 0.0048, build_memory: 361445660, f_measure: 0.7953, kappa: 0.582, kb_relative_information_score: 145.2153, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.7953, predictive_accuracy: 0.796, prior_entropy: 0.9868, recall: 0.796, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9118, scimark_benchmark: 943.4022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7894, build_cpu_time: 0.0058, build_memory: 257944689.6, f_measure: 0.7953, kappa: 0.582, kb_relative_information_score: 145.2153, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.7953, predictive_accuracy: 0.796, prior_entropy: 0.9868, recall: 0.796, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9118, scimark_benchmark: 947.5974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7894, build_cpu_time: 0.0052, build_memory: 934207304.8, f_measure: 0.7953, kappa: 0.582, kb_relative_information_score: 145.2153, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.7953, predictive_accuracy: 0.796, prior_entropy: 0.9868, recall: 0.796, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9118, scimark_benchmark: 946.3269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, build_cpu_time: 0.0108, build_memory: 27219887.2, f_measure: 0.8758, kappa: 0.7465, kb_relative_information_score: 180.1028, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8758, predictive_accuracy: 0.876, prior_entropy: 0.9868, recall: 0.876, relative_absolute_error: 0.2846, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.7009, scimark_benchmark: 947.5974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.487, build_memory: 426900058.4, f_measure: 0.4115, kb_relative_information_score: -0.0698, mean_absolute_error: 0.4909, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.3226, predictive_accuracy: 0.568, prior_entropy: 0.9868, recall: 0.568, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4954, root_relative_squared_error: 1.0001, scimark_benchmark: 940.3415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6354, build_cpu_time: 0.003, build_memory: 605625561.6, f_measure: 0.6049, kappa: 0.1975, kb_relative_information_score: 31.079, mean_absolute_error: 0.4311, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6063, predictive_accuracy: 0.604, prior_entropy: 0.9868, recall: 0.604, relative_absolute_error: 0.8784, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5045, root_relative_squared_error: 1.0184, scimark_benchmark: 946.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6106, build_cpu_time: 0.0402, build_memory: 109064881.6, f_measure: 0.6098, kappa: 0.2169, kb_relative_information_score: 48.6984, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6179, predictive_accuracy: 0.608, prior_entropy: 0.9868, recall: 0.608, relative_absolute_error: 0.7987, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6261, root_relative_squared_error: 1.2639, scimark_benchmark: 933.1047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6106, build_cpu_time: 0.0454, build_memory: 160076342.4, f_measure: 0.6098, kappa: 0.2169, kb_relative_information_score: 48.6984, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6179, predictive_accuracy: 0.608, prior_entropy: 0.9868, recall: 0.608, relative_absolute_error: 0.7987, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6261, root_relative_squared_error: 1.2639, scimark_benchmark: 937.2747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6106, build_cpu_time: 0.0411, build_memory: 1380447745.6, f_measure: 0.6098, kappa: 0.2169, kb_relative_information_score: 48.6984, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6179, predictive_accuracy: 0.608, prior_entropy: 0.9868, recall: 0.608, relative_absolute_error: 0.7987, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6261, root_relative_squared_error: 1.2639, scimark_benchmark: 939.7937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6106, build_cpu_time: 0.0418, build_memory: 591968870.4, f_measure: 0.6098, kappa: 0.2169, kb_relative_information_score: 48.6984, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6179, predictive_accuracy: 0.608, prior_entropy: 0.9868, recall: 0.608, relative_absolute_error: 0.7987, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6261, root_relative_squared_error: 1.2639, scimark_benchmark: 931.4894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5914, build_cpu_time: 0.6956, build_memory: 741142990.4, f_measure: 0.5733, kappa: 0.1346, kb_relative_information_score: 24.4211, mean_absolute_error: 0.4424, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.5755, predictive_accuracy: 0.572, prior_entropy: 0.9868, recall: 0.572, relative_absolute_error: 0.9013, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.534, root_relative_squared_error: 1.0779, scimark_benchmark: 936.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5679, build_cpu_time: 0.3013, build_memory: 338923553.6, f_measure: 0.5749, kappa: 0.1322, kb_relative_information_score: 20.9779, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.5742, predictive_accuracy: 0.576, prior_entropy: 0.9868, recall: 0.576, relative_absolute_error: 0.9176, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5533, root_relative_squared_error: 1.117, scimark_benchmark: 895.5844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5679, build_cpu_time: 0.3284, build_memory: 408574576, f_measure: 0.5749, kappa: 0.1322, kb_relative_information_score: 20.9779, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.5742, predictive_accuracy: 0.576, prior_entropy: 0.9868, recall: 0.576, relative_absolute_error: 0.9176, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5533, root_relative_squared_error: 1.117, scimark_benchmark: 939.7809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5679, build_cpu_time: 0.2991, build_memory: 365985068.8, f_measure: 0.5749, kappa: 0.1322, kb_relative_information_score: 20.9779, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.5742, predictive_accuracy: 0.576, prior_entropy: 0.9868, recall: 0.576, relative_absolute_error: 0.9176, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5533, root_relative_squared_error: 1.117, scimark_benchmark: 932.0191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5884, build_cpu_time: 0.6421, build_memory: 667789444, f_measure: 0.5675, kappa: 0.1178, kb_relative_information_score: 22.8085, mean_absolute_error: 0.4462, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.5671, predictive_accuracy: 0.568, prior_entropy: 0.9868, recall: 0.568, relative_absolute_error: 0.9091, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5398, root_relative_squared_error: 1.0898, scimark_benchmark: 927.4148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6099, build_cpu_time: 1.2727, build_memory: 251102592, f_measure: 0.591, kappa: 0.1649, kb_relative_information_score: 28.5636, mean_absolute_error: 0.436, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.5903, predictive_accuracy: 0.592, prior_entropy: 0.9868, recall: 0.592, relative_absolute_error: 0.8883, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5278, root_relative_squared_error: 1.0654, scimark_benchmark: 939.7937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6099, build_cpu_time: 1.3223, build_memory: 597181744, f_measure: 0.591, kappa: 0.1649, kb_relative_information_score: 28.5636, mean_absolute_error: 0.436, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.5903, predictive_accuracy: 0.592, prior_entropy: 0.9868, recall: 0.592, relative_absolute_error: 0.8883, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5278, root_relative_squared_error: 1.0654, scimark_benchmark: 919.3675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6225, build_cpu_time: 4.7403, build_memory: 1032032080.8, f_measure: 0.5743, kappa: 0.1302, kb_relative_information_score: 31.9976, mean_absolute_error: 0.4296, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.5733, predictive_accuracy: 0.576, prior_entropy: 0.9868, recall: 0.576, relative_absolute_error: 0.8753, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5189, root_relative_squared_error: 1.0475, scimark_benchmark: 902.5808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, build_cpu_time: 0.6991, build_memory: 689647262.4, f_measure: 0.8517, kappa: 0.6974, kb_relative_information_score: 118.0776, mean_absolute_error: 0.282, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8517, predictive_accuracy: 0.852, prior_entropy: 0.9868, recall: 0.852, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.6735, scimark_benchmark: 941.3563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, build_cpu_time: 0.3951, build_memory: 1075846024.8, f_measure: 0.8441, kappa: 0.6825, kb_relative_information_score: 115.9526, mean_absolute_error: 0.2863, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8442, predictive_accuracy: 0.844, prior_entropy: 0.9868, recall: 0.844, relative_absolute_error: 0.5832, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3362, root_relative_squared_error: 0.6788, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, build_cpu_time: 0.1951, build_memory: 975253566.4, f_measure: 0.8396, kappa: 0.6725, kb_relative_information_score: 117.5158, mean_absolute_error: 0.281, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8396, predictive_accuracy: 0.84, prior_entropy: 0.9868, recall: 0.84, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3373, root_relative_squared_error: 0.6809, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8227, build_cpu_time: 0.0215, build_memory: 79622596, f_measure: 0.7686, kappa: 0.5304, kb_relative_information_score: 66.7165, mean_absolute_error: 0.3748, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.7701, predictive_accuracy: 0.768, prior_entropy: 0.9868, recall: 0.768, relative_absolute_error: 0.7636, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4191, root_relative_squared_error: 0.846, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8227, build_cpu_time: 0.0219, build_memory: 1142889926.4, f_measure: 0.7686, kappa: 0.5304, kb_relative_information_score: 66.7165, mean_absolute_error: 0.3748, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.7701, predictive_accuracy: 0.768, prior_entropy: 0.9868, recall: 0.768, relative_absolute_error: 0.7636, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4191, root_relative_squared_error: 0.846, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, build_cpu_time: 0.0415, build_memory: 564910710.4, f_measure: 0.7824, kappa: 0.5549, kb_relative_information_score: 71.2859, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.7834, predictive_accuracy: 0.784, prior_entropy: 0.9868, recall: 0.784, relative_absolute_error: 0.7542, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8154, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, build_cpu_time: 0.0864, build_memory: 434582389.6, f_measure: 0.7905, kappa: 0.5714, kb_relative_information_score: 69.6879, mean_absolute_error: 0.3751, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.7916, predictive_accuracy: 0.792, prior_entropy: 0.9868, recall: 0.792, relative_absolute_error: 0.7642, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.8073, scimark_benchmark: 946.5543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, build_cpu_time: 0.1292, build_memory: 889129846.4, f_measure: 0.8343, kappa: 0.6609, kb_relative_information_score: 74.6188, mean_absolute_error: 0.3684, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8374, predictive_accuracy: 0.836, prior_entropy: 0.9868, recall: 0.836, relative_absolute_error: 0.7506, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.7882, scimark_benchmark: 874.7213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, build_cpu_time: 6.8177, build_memory: 708450036, f_measure: 0.804, kappa: 0.599, kb_relative_information_score: 55.0941, mean_absolute_error: 0.4046, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8135, predictive_accuracy: 0.808, prior_entropy: 0.9868, recall: 0.808, relative_absolute_error: 0.8242, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4177, root_relative_squared_error: 0.8432, scimark_benchmark: 904.8448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, build_cpu_time: 7.8983, build_memory: 1057854740, f_measure: 0.804, kappa: 0.599, kb_relative_information_score: 55.0941, mean_absolute_error: 0.4046, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8135, predictive_accuracy: 0.808, prior_entropy: 0.9868, recall: 0.808, relative_absolute_error: 0.8242, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4177, root_relative_squared_error: 0.8432, scimark_benchmark: 927.5628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, build_cpu_time: 7.7796, build_memory: 984498647.2, f_measure: 0.804, kappa: 0.599, kb_relative_information_score: 55.0941, mean_absolute_error: 0.4046, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8135, predictive_accuracy: 0.808, prior_entropy: 0.9868, recall: 0.808, relative_absolute_error: 0.8242, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4177, root_relative_squared_error: 0.8432, scimark_benchmark: 885.3617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, build_cpu_time: 6.8151, build_memory: 840807380, f_measure: 0.804, kappa: 0.599, kb_relative_information_score: 55.0941, mean_absolute_error: 0.4046, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8135, predictive_accuracy: 0.808, prior_entropy: 0.9868, recall: 0.808, relative_absolute_error: 0.8242, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4177, root_relative_squared_error: 0.8432, scimark_benchmark: 927.3358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, build_cpu_time: 6.5517, build_memory: 886411656.8, f_measure: 0.804, kappa: 0.599, kb_relative_information_score: 55.0941, mean_absolute_error: 0.4046, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8135, predictive_accuracy: 0.808, prior_entropy: 0.9868, recall: 0.808, relative_absolute_error: 0.8242, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4177, root_relative_squared_error: 0.8432, scimark_benchmark: 935.3052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, build_cpu_time: 0.909, build_memory: 1967311907.2, f_measure: 0.7979, kappa: 0.5873, kb_relative_information_score: 55.9502, mean_absolute_error: 0.4022, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8158, predictive_accuracy: 0.804, prior_entropy: 0.9868, recall: 0.804, relative_absolute_error: 0.8194, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4173, root_relative_squared_error: 0.8424, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, build_cpu_time: 0.0258, build_memory: 360679936.8, f_measure: 0.7989, kappa: 0.5888, kb_relative_information_score: 126.0125, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.7995, predictive_accuracy: 0.8, prior_entropy: 0.9868, recall: 0.8, relative_absolute_error: 0.5102, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7616, scimark_benchmark: 926.9727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, build_cpu_time: 0.0265, build_memory: 635650004.8, f_measure: 0.7989, kappa: 0.5888, kb_relative_information_score: 126.0125, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.7995, predictive_accuracy: 0.8, prior_entropy: 0.9868, recall: 0.8, relative_absolute_error: 0.5102, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7616, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, build_cpu_time: 0.0519, build_memory: 528794387.2, f_measure: 0.7908, kappa: 0.5724, kb_relative_information_score: 126.029, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.7914, predictive_accuracy: 0.792, prior_entropy: 0.9868, recall: 0.792, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.7482, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8892, build_cpu_time: 0.1576, build_memory: 199531386.4, f_measure: 0.7943, kappa: 0.5792, kb_relative_information_score: 126.6537, mean_absolute_error: 0.2496, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.7958, predictive_accuracy: 0.796, prior_entropy: 0.9868, recall: 0.796, relative_absolute_error: 0.5085, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7446, scimark_benchmark: 932.7461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8892, build_cpu_time: 0.1597, build_memory: 159668150.4, f_measure: 0.7943, kappa: 0.5792, kb_relative_information_score: 126.6537, mean_absolute_error: 0.2496, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.7958, predictive_accuracy: 0.796, prior_entropy: 0.9868, recall: 0.796, relative_absolute_error: 0.5085, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7446, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6322, build_cpu_time: 0.3328, build_memory: 766170728, f_measure: 0.5873, kappa: 0.1577, kb_relative_information_score: 27.8391, mean_absolute_error: 0.4381, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.5867, predictive_accuracy: 0.588, prior_entropy: 0.9868, recall: 0.588, relative_absolute_error: 0.8925, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4965, root_relative_squared_error: 1.0024, scimark_benchmark: 905.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5839, build_cpu_time: 0.0543, build_memory: 200703945.6, f_measure: 0.5677, kappa: 0.1151, kb_relative_information_score: 20.5615, mean_absolute_error: 0.4483, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.5664, predictive_accuracy: 0.572, prior_entropy: 0.9868, recall: 0.572, relative_absolute_error: 0.9134, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5533, root_relative_squared_error: 1.117, scimark_benchmark: 940.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5839, build_cpu_time: 0.0404, build_memory: 292441875.2, f_measure: 0.5677, kappa: 0.1151, kb_relative_information_score: 20.5615, mean_absolute_error: 0.4483, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.5664, predictive_accuracy: 0.572, prior_entropy: 0.9868, recall: 0.572, relative_absolute_error: 0.9134, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5533, root_relative_squared_error: 1.117, scimark_benchmark: 930.9336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.611, build_cpu_time: 317.6196, build_memory: 426473375.2, f_measure: 0.5824, kappa: 0.1466, kb_relative_information_score: 26.3942, mean_absolute_error: 0.4403, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.5814, predictive_accuracy: 0.584, prior_entropy: 0.9868, recall: 0.584, relative_absolute_error: 0.897, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.521, root_relative_squared_error: 1.0517, scimark_benchmark: 935.9032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6253, build_cpu_time: 698.9413, build_memory: 298475620, f_measure: 0.5904, kappa: 0.1631, kb_relative_information_score: 29.6841, mean_absolute_error: 0.4345, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.5895, predictive_accuracy: 0.592, prior_entropy: 0.9868, recall: 0.592, relative_absolute_error: 0.8851, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5143, root_relative_squared_error: 1.0383, scimark_benchmark: 945.6653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7634, build_cpu_time: 0.0272, build_memory: 91269692, f_measure: 0.6834, kappa: 0.3539, kb_relative_information_score: 40.8984, mean_absolute_error: 0.4235, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6831, predictive_accuracy: 0.684, prior_entropy: 0.9868, recall: 0.684, relative_absolute_error: 0.8628, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9092, scimark_benchmark: 1223.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7581, build_cpu_time: 0.0114, build_memory: 1101563304, f_measure: 0.6914, kappa: 0.3703, kb_relative_information_score: 40.3414, mean_absolute_error: 0.4245, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6911, predictive_accuracy: 0.692, prior_entropy: 0.9868, recall: 0.692, relative_absolute_error: 0.8649, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4512, root_relative_squared_error: 0.9109, scimark_benchmark: 941.3226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7617, build_cpu_time: 0.0059, build_memory: 674766640.8, f_measure: 0.6872, kappa: 0.3614, kb_relative_information_score: 43.4075, mean_absolute_error: 0.4189, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6868, predictive_accuracy: 0.688, prior_entropy: 0.9868, recall: 0.688, relative_absolute_error: 0.8535, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.45, root_relative_squared_error: 0.9085, scimark_benchmark: 929.2431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6062, build_cpu_time: 1.043, build_memory: 2484237985.6, f_measure: 0.6015, kappa: 0.1849, kb_relative_information_score: 41.0909, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6005, predictive_accuracy: 0.604, prior_entropy: 0.9868, recall: 0.604, relative_absolute_error: 0.8316, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6007, root_relative_squared_error: 1.2126, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7617, build_cpu_time: 0.0053, build_memory: 1749853769.6, f_measure: 0.6914, kappa: 0.3703, kb_relative_information_score: 42.4716, mean_absolute_error: 0.4205, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6911, predictive_accuracy: 0.692, prior_entropy: 0.9868, recall: 0.692, relative_absolute_error: 0.8568, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4498, root_relative_squared_error: 0.908, scimark_benchmark: 942.7079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7583, build_cpu_time: 0.003, build_memory: 265381988, f_measure: 0.682, kappa: 0.3496, kb_relative_information_score: 42.0807, mean_absolute_error: 0.4204, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6818, predictive_accuracy: 0.684, prior_entropy: 0.9868, recall: 0.684, relative_absolute_error: 0.8566, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4501, root_relative_squared_error: 0.9086, scimark_benchmark: 939.0518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, build_cpu_time: 2.7493, build_memory: 239710171.2, f_measure: 0.8108, kappa: 0.6131, kb_relative_information_score: 107.316, mean_absolute_error: 0.2944, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8118, predictive_accuracy: 0.812, prior_entropy: 0.9868, recall: 0.812, relative_absolute_error: 0.5998, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.7731, scimark_benchmark: 1216.8013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, build_cpu_time: 7.9181, build_memory: 72605553.6, f_measure: 0.7982, kappa: 0.587, kb_relative_information_score: 101.8134, mean_absolute_error: 0.3061, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8002, predictive_accuracy: 0.8, prior_entropy: 0.9868, recall: 0.8, relative_absolute_error: 0.6236, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3867, root_relative_squared_error: 0.7806, scimark_benchmark: 1216.8013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8751, build_cpu_time: 13.2086, build_memory: 998695804, f_measure: 0.8069, kappa: 0.6053, kb_relative_information_score: 106.3962, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8076, predictive_accuracy: 0.808, prior_entropy: 0.9868, recall: 0.808, relative_absolute_error: 0.6069, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7588, scimark_benchmark: 943.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, build_cpu_time: 25.1179, build_memory: 189028988.8, f_measure: 0.8194, kappa: 0.6312, kb_relative_information_score: 107.6874, mean_absolute_error: 0.2962, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8195, predictive_accuracy: 0.82, prior_entropy: 0.9868, recall: 0.82, relative_absolute_error: 0.6035, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.7493, scimark_benchmark: 909.9339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8838, build_cpu_time: 52.8818, build_memory: 70477987.2, f_measure: 0.8153, kappa: 0.6226, kb_relative_information_score: 107.3708, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8155, predictive_accuracy: 0.816, prior_entropy: 0.9868, recall: 0.816, relative_absolute_error: 0.6045, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.7492, scimark_benchmark: 934.3289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, build_cpu_time: 8.8161, build_memory: 1821853428.8, f_measure: 0.8801, kappa: 0.756, kb_relative_information_score: 187.4045, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8804, predictive_accuracy: 0.88, prior_entropy: 0.9868, recall: 0.88, relative_absolute_error: 0.2486, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.6973, scimark_benchmark: 944.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, build_cpu_time: 4.4952, build_memory: 1630915881.6, f_measure: 0.8758, kappa: 0.7465, kb_relative_information_score: 186.306, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8758, predictive_accuracy: 0.876, prior_entropy: 0.9868, recall: 0.876, relative_absolute_error: 0.2525, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3513, root_relative_squared_error: 0.7092, scimark_benchmark: 941.2906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8953, build_cpu_time: 2.2069, build_memory: 1362243310.4, f_measure: 0.8758, kappa: 0.7465, kb_relative_information_score: 185.5206, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8758, predictive_accuracy: 0.876, prior_entropy: 0.9868, recall: 0.876, relative_absolute_error: 0.2566, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.7, scimark_benchmark: 944.0892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, build_cpu_time: 1.2046, build_memory: 653042273.6, f_measure: 0.8596, kappa: 0.7131, kb_relative_information_score: 179.9984, mean_absolute_error: 0.1357, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8598, predictive_accuracy: 0.86, prior_entropy: 0.9868, recall: 0.86, relative_absolute_error: 0.2765, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3547, root_relative_squared_error: 0.7161, scimark_benchmark: 942.9632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, build_cpu_time: 1.1325, build_memory: 1120478809.6, f_measure: 0.8596, kappa: 0.7131, kb_relative_information_score: 179.9984, mean_absolute_error: 0.1357, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8598, predictive_accuracy: 0.86, prior_entropy: 0.9868, recall: 0.86, relative_absolute_error: 0.2765, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3547, root_relative_squared_error: 0.7161, scimark_benchmark: 939.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, build_cpu_time: 0.5426, build_memory: 1157250355.2, f_measure: 0.8637, kappa: 0.7216, kb_relative_information_score: 180.9292, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8638, predictive_accuracy: 0.864, prior_entropy: 0.9868, recall: 0.864, relative_absolute_error: 0.2738, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3345, root_relative_squared_error: 0.6752, scimark_benchmark: 890.4487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, build_cpu_time: 2.3976, build_memory: 316405077.6, f_measure: 0.8591, kappa: 0.7118, kb_relative_information_score: 126.4545, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8605, predictive_accuracy: 0.86, prior_entropy: 0.9868, recall: 0.86, relative_absolute_error: 0.5369, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.6594, scimark_benchmark: 902.3853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, build_cpu_time: 4.604, build_memory: 216983023.2, f_measure: 0.8511, kappa: 0.6954, kb_relative_information_score: 125.3432, mean_absolute_error: 0.2661, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8524, predictive_accuracy: 0.852, prior_entropy: 0.9868, recall: 0.852, relative_absolute_error: 0.5421, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.6638, scimark_benchmark: 936.5779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, build_cpu_time: 1.4509, build_memory: 195703054.4, f_measure: 0.8519, kappa: 0.6981, kb_relative_information_score: 135.6603, mean_absolute_error: 0.2414, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8519, predictive_accuracy: 0.852, prior_entropy: 0.9868, recall: 0.852, relative_absolute_error: 0.4919, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3214, root_relative_squared_error: 0.6489, scimark_benchmark: 946.4394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, build_cpu_time: 0.7399, build_memory: 2831963909.6, f_measure: 0.8478, kappa: 0.6896, kb_relative_information_score: 134.7501, mean_absolute_error: 0.2439, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8478, predictive_accuracy: 0.848, prior_entropy: 0.9868, recall: 0.848, relative_absolute_error: 0.4969, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.6477, scimark_benchmark: 944.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, build_cpu_time: 0.3949, build_memory: 47047004, f_measure: 0.8435, kappa: 0.6803, kb_relative_information_score: 138.8304, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8437, predictive_accuracy: 0.844, prior_entropy: 0.9868, recall: 0.844, relative_absolute_error: 0.4793, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.314, root_relative_squared_error: 0.6338, scimark_benchmark: 946.8247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, build_cpu_time: 0.2042, build_memory: 205796900.8, f_measure: 0.8388, kappa: 0.6703, kb_relative_information_score: 135.3037, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8405, predictive_accuracy: 0.84, prior_entropy: 0.9868, recall: 0.84, relative_absolute_error: 0.4943, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.6448, scimark_benchmark: 933.3831,

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