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 breastTumor

Supervised Classification on breastTumor

Task 3709 Supervised Classification breastTumor 508 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
Issue #Downvotes for this reason By


Metric:

508 Runs

Fetching data
Fetching data
Search runs in more detail run
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5671, f_measure: 0.5362, kappa: 0.0507, kb_relative_information_score: 10.7283, mean_absolute_error: 0.4642, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5377, predictive_accuracy: 0.535, prior_entropy: 0.9815, recall: 0.535, relative_absolute_error: 0.953, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5494, root_relative_squared_error: 1.1132, scimark_benchmark: 942.9518, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5074, f_measure: 0.4726, kappa: 0.0167, kb_relative_information_score: 34.7715, mean_absolute_error: 0.4231, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5379, predictive_accuracy: 0.5769, prior_entropy: 0.9815, recall: 0.5769, relative_absolute_error: 0.8685, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.6504, root_relative_squared_error: 1.318, scimark_benchmark: 930.5999, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4263, kb_relative_information_score: 36.8471, mean_absolute_error: 0.4196, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.3369, predictive_accuracy: 0.5804, prior_entropy: 0.9815, recall: 0.5804, relative_absolute_error: 0.8613, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.6478, root_relative_squared_error: 1.3126, scimark_benchmark: 938.9967, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6276, f_measure: 0.6314, kappa: 0.2512, kb_relative_information_score: 65.9062, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6365, predictive_accuracy: 0.6294, prior_entropy: 0.9815, recall: 0.6294, relative_absolute_error: 0.7608, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.6088, root_relative_squared_error: 1.2336, scimark_benchmark: 1386.5717, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6377, f_measure: 0.6203, kappa: 0.2175, kb_relative_information_score: 27.9045, mean_absolute_error: 0.4435, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6192, predictive_accuracy: 0.6224, prior_entropy: 0.9815, recall: 0.6224, relative_absolute_error: 0.9105, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4792, root_relative_squared_error: 0.971, scimark_benchmark: 1304.9611, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5557, f_measure: 0.5712, kappa: 0.1162, kb_relative_information_score: 40.9984, mean_absolute_error: 0.4126, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.574, predictive_accuracy: 0.5874, prior_entropy: 0.9815, recall: 0.5874, relative_absolute_error: 0.8469, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.6423, root_relative_squared_error: 1.3016, scimark_benchmark: 916.5955, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5766, f_measure: 0.5615, kappa: 0.0975, kb_relative_information_score: 17.369, mean_absolute_error: 0.4558, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5605, predictive_accuracy: 0.5629, prior_entropy: 0.9815, recall: 0.5629, relative_absolute_error: 0.9356, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5266, root_relative_squared_error: 1.067, scimark_benchmark: 915.9324, usercpu_time_millis: 1470, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6675, f_measure: 0.6107, kappa: 0.2106, kb_relative_information_score: 43.8994, mean_absolute_error: 0.4153, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6168, predictive_accuracy: 0.6084, prior_entropy: 0.9815, recall: 0.6084, relative_absolute_error: 0.8526, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4912, root_relative_squared_error: 0.9953, scimark_benchmark: 1337.7959, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6688, f_measure: 0.6175, kappa: 0.2229, kb_relative_information_score: 44.3444, mean_absolute_error: 0.4152, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6226, predictive_accuracy: 0.6154, prior_entropy: 0.9815, recall: 0.6154, relative_absolute_error: 0.8524, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4911, root_relative_squared_error: 0.9952, scimark_benchmark: 1372.2145, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5158, f_measure: 0.5215, kappa: 0.0115, kb_relative_information_score: 1.828, mean_absolute_error: 0.4802, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5186, predictive_accuracy: 0.528, prior_entropy: 0.9815, recall: 0.528, relative_absolute_error: 0.9858, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5448, root_relative_squared_error: 1.104, scimark_benchmark: 1331.6907, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4698, f_measure: 0.4991, kappa: -0.0301, kb_relative_information_score: -15.3777, mean_absolute_error: 0.5085, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.4983, predictive_accuracy: 0.5, prior_entropy: 0.9815, recall: 0.5, relative_absolute_error: 1.0439, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.6985, root_relative_squared_error: 1.4154, scimark_benchmark: 1315.0767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.5314, kappa: 0.0316, kb_relative_information_score: 6.3899, mean_absolute_error: 0.4754, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5289, predictive_accuracy: 0.542, prior_entropy: 0.9815, recall: 0.542, relative_absolute_error: 0.9758, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5175, root_relative_squared_error: 1.0487, scimark_benchmark: 1320.2556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.4765, kappa: -0.0027, kb_relative_information_score: -0.9395, mean_absolute_error: 0.4877, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5101, predictive_accuracy: 0.5629, prior_entropy: 0.9815, recall: 0.5629, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4991, root_relative_squared_error: 1.0113, scimark_benchmark: 1310.8451, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5348, f_measure: 0.5493, kappa: 0.0704, kb_relative_information_score: 20.242, mean_absolute_error: 0.4476, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5474, predictive_accuracy: 0.5524, prior_entropy: 0.9815, recall: 0.5524, relative_absolute_error: 0.9187, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.669, root_relative_squared_error: 1.3556, scimark_benchmark: 1307.4861, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5079, f_measure: 0.5135, kappa: 0.0154, kb_relative_information_score: -4.6657, mean_absolute_error: 0.4895, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5206, predictive_accuracy: 0.5105, prior_entropy: 0.9815, recall: 0.5105, relative_absolute_error: 1.0048, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.6997, root_relative_squared_error: 1.4178, scimark_benchmark: 1335.4072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5224, f_measure: 0.5273, kappa: 0.0245, kb_relative_information_score: 6.5682, mean_absolute_error: 0.4729, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.525, predictive_accuracy: 0.5315, prior_entropy: 0.9815, recall: 0.5315, relative_absolute_error: 0.9707, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5691, root_relative_squared_error: 1.1532, scimark_benchmark: 1358.4523, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4959, f_measure: 0.5109, kappa: -0.0083, kb_relative_information_score: -2.5901, mean_absolute_error: 0.486, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5089, predictive_accuracy: 0.514, prior_entropy: 0.9815, recall: 0.514, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.6971, root_relative_squared_error: 1.4127, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.507, f_measure: 0.523, kappa: 0.0145, kb_relative_information_score: 9.8638, mean_absolute_error: 0.465, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5203, predictive_accuracy: 0.535, prior_entropy: 0.9815, recall: 0.535, relative_absolute_error: 0.9546, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.6819, root_relative_squared_error: 1.3819, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, f_measure: 0.4263, kb_relative_information_score: -0.0377, mean_absolute_error: 0.4872, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.3369, predictive_accuracy: 0.5804, prior_entropy: 0.9815, recall: 0.5804, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4935, root_relative_squared_error: 1, scimark_benchmark: 1503.3362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5233, f_measure: 0.5218, kappa: 0.0137, kb_relative_information_score: 1.6948, mean_absolute_error: 0.4819, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5201, predictive_accuracy: 0.5385, prior_entropy: 0.9815, recall: 0.5385, relative_absolute_error: 0.9892, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5373, root_relative_squared_error: 1.0888, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6425, f_measure: 0.6368, kappa: 0.2551, kb_relative_information_score: 62.3758, mean_absolute_error: 0.3787, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6372, predictive_accuracy: 0.6364, prior_entropy: 0.9815, recall: 0.6364, relative_absolute_error: 0.7775, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5627, root_relative_squared_error: 1.1402, scimark_benchmark: 927.0753, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6376, f_measure: 0.6247, kappa: 0.2274, kb_relative_information_score: 59.4986, mean_absolute_error: 0.3848, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6238, predictive_accuracy: 0.6259, prior_entropy: 0.9815, recall: 0.6259, relative_absolute_error: 0.7899, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5569, root_relative_squared_error: 1.1284, scimark_benchmark: 945.6434, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6048, f_measure: 0.6088, kappa: 0.1978, kb_relative_information_score: 38.585, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6093, predictive_accuracy: 0.6084, prior_entropy: 0.9815, recall: 0.6084, relative_absolute_error: 0.8664, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5484, root_relative_squared_error: 1.1112, scimark_benchmark: 941.7954, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6125, f_measure: 0.6195, kappa: 0.2202, kb_relative_information_score: 32.3489, mean_absolute_error: 0.4348, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6202, predictive_accuracy: 0.6189, prior_entropy: 0.9815, recall: 0.6189, relative_absolute_error: 0.8925, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5178, root_relative_squared_error: 1.0493, scimark_benchmark: 923.7642, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6122, f_measure: 0.6162, kappa: 0.214, kb_relative_information_score: 30.8481, mean_absolute_error: 0.4379, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6172, predictive_accuracy: 0.6154, prior_entropy: 0.9815, recall: 0.6154, relative_absolute_error: 0.8989, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5134, root_relative_squared_error: 1.0403, scimark_benchmark: 894.7455, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6421, f_measure: 0.5918, kappa: 0.1615, kb_relative_information_score: 47.5327, mean_absolute_error: 0.4048, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6009, predictive_accuracy: 0.6119, prior_entropy: 0.9815, recall: 0.6119, relative_absolute_error: 0.831, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.527, root_relative_squared_error: 1.0679, scimark_benchmark: 936.6206, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6441, f_measure: 0.6222, kappa: 0.2202, kb_relative_information_score: 51.0667, mean_absolute_error: 0.4008, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6211, predictive_accuracy: 0.6259, prior_entropy: 0.9815, recall: 0.6259, relative_absolute_error: 0.8228, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.522, root_relative_squared_error: 1.0578, scimark_benchmark: 936.7115, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6488, f_measure: 0.599, kappa: 0.1792, kb_relative_information_score: 50.5786, mean_absolute_error: 0.4006, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6136, predictive_accuracy: 0.6224, prior_entropy: 0.9815, recall: 0.6224, relative_absolute_error: 0.8224, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.516, root_relative_squared_error: 1.0456, scimark_benchmark: 936.6206, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6504, f_measure: 0.6152, kappa: 0.2053, kb_relative_information_score: 50.227, mean_absolute_error: 0.4021, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6178, predictive_accuracy: 0.6259, prior_entropy: 0.9815, recall: 0.6259, relative_absolute_error: 0.8254, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5056, root_relative_squared_error: 1.0245, scimark_benchmark: 934.5243, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6359, f_measure: 0.5155, kappa: 0.0552, kb_relative_information_score: 40.7065, mean_absolute_error: 0.4175, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5604, predictive_accuracy: 0.5839, prior_entropy: 0.9815, recall: 0.5839, relative_absolute_error: 0.8569, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5074, root_relative_squared_error: 1.0282, scimark_benchmark: 938.4278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6153, f_measure: 0.5971, kappa: 0.1682, kb_relative_information_score: 29.4544, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5957, predictive_accuracy: 0.6014, prior_entropy: 0.9815, recall: 0.6014, relative_absolute_error: 0.8984, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5136, root_relative_squared_error: 1.0408, scimark_benchmark: 936.6206, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6091, f_measure: 0.5788, kappa: 0.1325, kb_relative_information_score: 24.8729, mean_absolute_error: 0.4443, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5776, predictive_accuracy: 0.5804, prior_entropy: 0.9815, recall: 0.5804, relative_absolute_error: 0.912, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5087, root_relative_squared_error: 1.0308, scimark_benchmark: 924.6116, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6154, f_measure: 0.5883, kappa: 0.1513, kb_relative_information_score: 25.8084, mean_absolute_error: 0.4439, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5869, predictive_accuracy: 0.5909, prior_entropy: 0.9815, recall: 0.5909, relative_absolute_error: 0.9111, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5021, root_relative_squared_error: 1.0174, scimark_benchmark: 924.6116, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6513, f_measure: 0.6466, kappa: 0.2741, kb_relative_information_score: 33.7412, mean_absolute_error: 0.4339, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6465, predictive_accuracy: 0.6469, prior_entropy: 0.9815, recall: 0.6469, relative_absolute_error: 0.8907, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4847, root_relative_squared_error: 0.9821, scimark_benchmark: 947.9494, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6445, f_measure: 0.6301, kappa: 0.2426, kb_relative_information_score: 27.8548, mean_absolute_error: 0.4448, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6312, predictive_accuracy: 0.6294, prior_entropy: 0.9815, recall: 0.6294, relative_absolute_error: 0.913, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4853, root_relative_squared_error: 0.9833, scimark_benchmark: 931.2336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, f_measure: 0.4263, kb_relative_information_score: -0.0377, mean_absolute_error: 0.4872, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.3369, predictive_accuracy: 0.5804, prior_entropy: 0.9815, recall: 0.5804, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4935, root_relative_squared_error: 1, scimark_benchmark: 943.2817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6182, f_measure: 0.5098, kappa: 0.1268, kb_relative_information_score: 12.8433, mean_absolute_error: 0.4618, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6049, predictive_accuracy: 0.5315, prior_entropy: 0.9815, recall: 0.5315, relative_absolute_error: 0.9479, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5262, root_relative_squared_error: 1.0662, scimark_benchmark: 943.2745, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6443, f_measure: 0.6411, kappa: 0.2665, kb_relative_information_score: 29.0876, mean_absolute_error: 0.4421, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6431, predictive_accuracy: 0.6399, prior_entropy: 0.9815, recall: 0.6399, relative_absolute_error: 0.9075, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4893, root_relative_squared_error: 0.9916, scimark_benchmark: 947.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, f_measure: 0.4997, kappa: -0.0277, kb_relative_information_score: -2.7766, mean_absolute_error: 0.4861, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.4994, predictive_accuracy: 0.5, prior_entropy: 0.9815, recall: 0.5, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.6074, root_relative_squared_error: 1.2307, scimark_benchmark: 943.6956, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, f_measure: 0.4263, kb_relative_information_score: -0.0377, mean_absolute_error: 0.4872, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.3369, predictive_accuracy: 0.5804, prior_entropy: 0.9815, recall: 0.5804, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4935, root_relative_squared_error: 1, scimark_benchmark: 929.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5913, f_measure: 0.6032, kappa: 0.191, kb_relative_information_score: 15.1873, mean_absolute_error: 0.4639, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6064, predictive_accuracy: 0.6014, prior_entropy: 0.9815, recall: 0.6014, relative_absolute_error: 0.9523, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4936, root_relative_squared_error: 1.0002, scimark_benchmark: 911.0478, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4263, kb_relative_information_score: 36.8471, mean_absolute_error: 0.4196, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.3369, predictive_accuracy: 0.5804, prior_entropy: 0.9815, recall: 0.5804, relative_absolute_error: 0.8613, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.6478, root_relative_squared_error: 1.3126, scimark_benchmark: 933.8635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5233, f_measure: 0.5218, kappa: 0.0137, kb_relative_information_score: 1.6948, mean_absolute_error: 0.4819, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5201, predictive_accuracy: 0.5385, prior_entropy: 0.9815, recall: 0.5385, relative_absolute_error: 0.9892, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5373, root_relative_squared_error: 1.0888, scimark_benchmark: 904.3001, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5122, f_measure: 0.5411, kappa: 0.0563, kb_relative_information_score: -5.8839, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5404, predictive_accuracy: 0.542, prior_entropy: 0.9815, recall: 0.542, relative_absolute_error: 1.0117, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5107, root_relative_squared_error: 1.0349, scimark_benchmark: 943.2817, usercpu_time_millis: 340, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5669, f_measure: 0.521, kappa: 0.0168, kb_relative_information_score: 7.1156, mean_absolute_error: 0.4752, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5221, predictive_accuracy: 0.5455, prior_entropy: 0.9815, recall: 0.5455, relative_absolute_error: 0.9756, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9928, scimark_benchmark: 917.7039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5096, f_measure: 0.5124, kappa: 0.0209, kb_relative_information_score: 24.3933, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5267, predictive_accuracy: 0.5594, prior_entropy: 0.9815, recall: 0.5594, relative_absolute_error: 0.9044, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.6637, root_relative_squared_error: 1.345, scimark_benchmark: 917.7039, usercpu_time_millis: 240, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4263, kb_relative_information_score: 36.8471, mean_absolute_error: 0.4196, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.3369, predictive_accuracy: 0.5804, prior_entropy: 0.9815, recall: 0.5804, relative_absolute_error: 0.8613, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.6478, root_relative_squared_error: 1.3126, scimark_benchmark: 941.8057, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5151, f_measure: 0.5163, kappa: 0.0047, kb_relative_information_score: 1.6261, mean_absolute_error: 0.4791, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5152, predictive_accuracy: 0.5175, prior_entropy: 0.9815, recall: 0.5175, relative_absolute_error: 0.9835, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.6084, root_relative_squared_error: 1.2328, scimark_benchmark: 943.6956, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5151, f_measure: 0.5163, kappa: 0.0047, kb_relative_information_score: 1.6261, mean_absolute_error: 0.4791, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5152, predictive_accuracy: 0.5175, prior_entropy: 0.9815, recall: 0.5175, relative_absolute_error: 0.9835, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.6084, root_relative_squared_error: 1.2328, scimark_benchmark: 915.2795, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5407, f_measure: 0.5869, kappa: 0.1473, kb_relative_information_score: 24.8605, mean_absolute_error: 0.4447, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5853, predictive_accuracy: 0.5909, prior_entropy: 0.9815, recall: 0.5909, relative_absolute_error: 0.9129, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.593, root_relative_squared_error: 1.2017, scimark_benchmark: 941.8057, usercpu_time_millis: 600, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.546, f_measure: 0.5728, kappa: 0.1181, kb_relative_information_score: 14.6568, mean_absolute_error: 0.4614, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.571, predictive_accuracy: 0.5769, prior_entropy: 0.9815, recall: 0.5769, relative_absolute_error: 0.9472, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5447, root_relative_squared_error: 1.1038, scimark_benchmark: 931.4202, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.609, f_measure: 0.5846, kappa: 0.1487, kb_relative_information_score: 25.0286, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5854, predictive_accuracy: 0.5839, prior_entropy: 0.9815, recall: 0.5839, relative_absolute_error: 0.9139, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5111, root_relative_squared_error: 1.0357, scimark_benchmark: 904.3001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4263, kb_relative_information_score: 36.8471, mean_absolute_error: 0.4196, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.3369, predictive_accuracy: 0.5804, prior_entropy: 0.9815, recall: 0.5804, relative_absolute_error: 0.8613, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.6478, root_relative_squared_error: 1.3126, scimark_benchmark: 945.6434, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6163, f_measure: 0.6209, kappa: 0.2291, kb_relative_information_score: 59.6792, mean_absolute_error: 0.3811, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6255, predictive_accuracy: 0.6189, prior_entropy: 0.9815, recall: 0.6189, relative_absolute_error: 0.7823, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.6173, root_relative_squared_error: 1.251, scimark_benchmark: 945.0164, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6212, build_cpu_time: 0.3228, build_memory: 718792084.7552, f_measure: 0.5971, kappa: 0.1682, kb_relative_information_score: 30.6031, mean_absolute_error: 0.4373, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5957, predictive_accuracy: 0.6014, prior_entropy: 0.9815, recall: 0.6014, relative_absolute_error: 0.8976, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.0142, scimark_benchmark: 941.8181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6212, build_cpu_time: 0.4293, build_memory: 1593447150.2378, f_measure: 0.5971, kappa: 0.1682, kb_relative_information_score: 30.6031, mean_absolute_error: 0.4373, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5957, predictive_accuracy: 0.6014, prior_entropy: 0.9815, recall: 0.6014, relative_absolute_error: 0.8976, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.0142, scimark_benchmark: 923.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6203, build_cpu_time: 0.3112, build_memory: 1217360456.5315, f_measure: 0.601, kappa: 0.1764, kb_relative_information_score: 30.1719, mean_absolute_error: 0.4379, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5997, predictive_accuracy: 0.6049, prior_entropy: 0.9815, recall: 0.6049, relative_absolute_error: 0.899, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5012, root_relative_squared_error: 1.0155, scimark_benchmark: 947.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.624, build_cpu_time: 0.2252, build_memory: 513679833.4545, f_measure: 0.6165, kappa: 0.2093, kb_relative_information_score: 31.3052, mean_absolute_error: 0.4367, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6153, predictive_accuracy: 0.6189, prior_entropy: 0.9815, recall: 0.6189, relative_absolute_error: 0.8965, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4976, root_relative_squared_error: 1.0084, scimark_benchmark: 942.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5519, build_cpu_time: 0.0097, build_memory: 85679273.4825, f_measure: 0.5336, kappa: 0.0362, kb_relative_information_score: 11.1896, mean_absolute_error: 0.4653, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.531, predictive_accuracy: 0.542, prior_entropy: 0.9815, recall: 0.542, relative_absolute_error: 0.9552, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5271, root_relative_squared_error: 1.0681, scimark_benchmark: 942.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5508, build_cpu_time: 0.0107, build_memory: 949579185.035, f_measure: 0.5295, kappa: 0.0277, kb_relative_information_score: 11.1351, mean_absolute_error: 0.4656, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5268, predictive_accuracy: 0.5385, prior_entropy: 0.9815, recall: 0.5385, relative_absolute_error: 0.9557, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5281, root_relative_squared_error: 1.0702, scimark_benchmark: 940.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5508, build_cpu_time: 0.0149, build_memory: 406364107.021, f_measure: 0.5295, kappa: 0.0277, kb_relative_information_score: 11.1351, mean_absolute_error: 0.4656, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5268, predictive_accuracy: 0.5385, prior_entropy: 0.9815, recall: 0.5385, relative_absolute_error: 0.9557, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5281, root_relative_squared_error: 1.0702, scimark_benchmark: 943.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5508, build_cpu_time: 0.0108, build_memory: 100701851.1049, f_measure: 0.5295, kappa: 0.0277, kb_relative_information_score: 11.1351, mean_absolute_error: 0.4656, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5268, predictive_accuracy: 0.5385, prior_entropy: 0.9815, recall: 0.5385, relative_absolute_error: 0.9557, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5281, root_relative_squared_error: 1.0702, scimark_benchmark: 942.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5508, build_cpu_time: 0.0118, build_memory: 136796362.4615, f_measure: 0.5295, kappa: 0.0277, kb_relative_information_score: 11.1351, mean_absolute_error: 0.4656, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5268, predictive_accuracy: 0.5385, prior_entropy: 0.9815, recall: 0.5385, relative_absolute_error: 0.9557, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5281, root_relative_squared_error: 1.0702, scimark_benchmark: 943.1873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5508, build_cpu_time: 0.013, build_memory: 124393846.965, f_measure: 0.5295, kappa: 0.0277, kb_relative_information_score: 11.1351, mean_absolute_error: 0.4656, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5268, predictive_accuracy: 0.5385, prior_entropy: 0.9815, recall: 0.5385, relative_absolute_error: 0.9557, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5281, root_relative_squared_error: 1.0702, scimark_benchmark: 945.1987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5097, build_cpu_time: 0.1092, build_memory: 641640438.2937, f_measure: 0.5061, kappa: -0.0157, kb_relative_information_score: -10.4624, mean_absolute_error: 0.5006, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5053, predictive_accuracy: 0.507, prior_entropy: 0.9815, recall: 0.507, relative_absolute_error: 1.0276, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.6929, root_relative_squared_error: 1.404, scimark_benchmark: 926.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5057, build_cpu_time: 0.0562, build_memory: 122966923.1888, f_measure: 0.5022, kappa: -0.0241, kb_relative_information_score: -12.0561, mean_absolute_error: 0.5027, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5012, predictive_accuracy: 0.5035, prior_entropy: 0.9815, recall: 0.5035, relative_absolute_error: 1.0319, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.6935, root_relative_squared_error: 1.4053, scimark_benchmark: 907.3828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5033, build_cpu_time: 0.0443, build_memory: 2392283171.6364, f_measure: 0.5029, kappa: -0.0217, kb_relative_information_score: -14.6057, mean_absolute_error: 0.5065, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5023, predictive_accuracy: 0.5035, prior_entropy: 0.9815, recall: 0.5035, relative_absolute_error: 1.0398, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.6953, root_relative_squared_error: 1.4088, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, build_cpu_time: 0.0159, build_memory: 1999078815.5245, f_measure: 0.4863, kappa: -0.0541, kb_relative_information_score: -16.6783, mean_absolute_error: 0.5088, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.4866, predictive_accuracy: 0.486, prior_entropy: 0.9815, recall: 0.486, relative_absolute_error: 1.0444, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.6966, root_relative_squared_error: 1.4115, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, build_cpu_time: 0.0138, build_memory: 830978747.1888, f_measure: 0.4799, kappa: -0.0659, kb_relative_information_score: -18.6473, mean_absolute_error: 0.512, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.4808, predictive_accuracy: 0.479, prior_entropy: 0.9815, recall: 0.479, relative_absolute_error: 1.051, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.6993, root_relative_squared_error: 1.417, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5148, build_cpu_time: 0.4786, build_memory: 830009327.6923, f_measure: 0.5335, kappa: 0.0368, kb_relative_information_score: 8.0646, mean_absolute_error: 0.4693, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5311, predictive_accuracy: 0.5385, prior_entropy: 0.9815, recall: 0.5385, relative_absolute_error: 0.9634, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.6741, root_relative_squared_error: 1.366, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5136, build_cpu_time: 0.7989, build_memory: 1254713066.1539, f_measure: 0.5295, kappa: 0.0284, kb_relative_information_score: 8.4411, mean_absolute_error: 0.468, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5269, predictive_accuracy: 0.535, prior_entropy: 0.9815, recall: 0.535, relative_absolute_error: 0.9607, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.6733, root_relative_squared_error: 1.3644, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5168, build_cpu_time: 1.3111, build_memory: 1434100844.1119, f_measure: 0.5295, kappa: 0.0284, kb_relative_information_score: 8.8284, mean_absolute_error: 0.4673, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5269, predictive_accuracy: 0.535, prior_entropy: 0.9815, recall: 0.535, relative_absolute_error: 0.9591, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.6736, root_relative_squared_error: 1.365, scimark_benchmark: 920.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5172, build_cpu_time: 2.3789, build_memory: 907614570.7413, f_measure: 0.5295, kappa: 0.0284, kb_relative_information_score: 9.8789, mean_absolute_error: 0.4653, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5269, predictive_accuracy: 0.535, prior_entropy: 0.9815, recall: 0.535, relative_absolute_error: 0.955, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.6729, root_relative_squared_error: 1.3636, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5182, build_cpu_time: 4.1861, build_memory: 662854373.3427, f_measure: 0.5295, kappa: 0.0284, kb_relative_information_score: 10.011, mean_absolute_error: 0.465, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5269, predictive_accuracy: 0.535, prior_entropy: 0.9815, recall: 0.535, relative_absolute_error: 0.9544, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.6728, root_relative_squared_error: 1.3634, scimark_benchmark: 915.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6008, build_cpu_time: 0.0281, build_memory: 594200952.028, f_measure: 0.6168, kappa: 0.2082, kb_relative_information_score: 25.0928, mean_absolute_error: 0.4478, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6162, predictive_accuracy: 0.6224, prior_entropy: 0.9815, recall: 0.6224, relative_absolute_error: 0.9193, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5129, root_relative_squared_error: 1.0393, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6008, build_cpu_time: 0.0174, build_memory: 518794942.3776, f_measure: 0.6168, kappa: 0.2082, kb_relative_information_score: 25.0928, mean_absolute_error: 0.4478, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6162, predictive_accuracy: 0.6224, prior_entropy: 0.9815, recall: 0.6224, relative_absolute_error: 0.9193, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5129, root_relative_squared_error: 1.0393, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5954, build_cpu_time: 0.0202, build_memory: 1377795668.7552, f_measure: 0.6049, kappa: 0.1847, kb_relative_information_score: 23.191, mean_absolute_error: 0.4507, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6036, predictive_accuracy: 0.6084, prior_entropy: 0.9815, recall: 0.6084, relative_absolute_error: 0.9252, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5135, root_relative_squared_error: 1.0406, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5715, build_cpu_time: 0.0081, build_memory: 1224532146.6294, f_measure: 0.5749, kappa: 0.1243, kb_relative_information_score: 13.5035, mean_absolute_error: 0.4645, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5736, predictive_accuracy: 0.5769, prior_entropy: 0.9815, recall: 0.5769, relative_absolute_error: 0.9535, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5167, root_relative_squared_error: 1.047, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5827, build_cpu_time: 0.0034, build_memory: 409542800.4476, f_measure: 0.5813, kappa: 0.1368, kb_relative_information_score: 16.5451, mean_absolute_error: 0.4616, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5798, predictive_accuracy: 0.5839, prior_entropy: 0.9815, recall: 0.5839, relative_absolute_error: 0.9475, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5081, root_relative_squared_error: 1.0295, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.608, build_cpu_time: 0.0093, build_memory: 2112625652.4476, f_measure: 0.6268, kappa: 0.2363, kb_relative_information_score: 30.2079, mean_absolute_error: 0.4396, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6282, predictive_accuracy: 0.6259, prior_entropy: 0.9815, recall: 0.6259, relative_absolute_error: 0.9024, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.512, root_relative_squared_error: 1.0375, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.61, build_cpu_time: 0.0134, build_memory: 553790235.4965, f_measure: 0.6235, kappa: 0.23, kb_relative_information_score: 30.7286, mean_absolute_error: 0.4383, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6252, predictive_accuracy: 0.6224, prior_entropy: 0.9815, recall: 0.6224, relative_absolute_error: 0.8996, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5134, root_relative_squared_error: 1.0403, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6122, build_cpu_time: 0.0154, build_memory: 1438640691.972, f_measure: 0.6162, kappa: 0.214, kb_relative_information_score: 30.8481, mean_absolute_error: 0.4379, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6172, predictive_accuracy: 0.6154, prior_entropy: 0.9815, recall: 0.6154, relative_absolute_error: 0.8989, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5134, root_relative_squared_error: 1.0403, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6122, build_cpu_time: 0.0152, build_memory: 917564562.6573, f_measure: 0.6162, kappa: 0.214, kb_relative_information_score: 30.8481, mean_absolute_error: 0.4379, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6172, predictive_accuracy: 0.6154, prior_entropy: 0.9815, recall: 0.6154, relative_absolute_error: 0.8989, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5134, root_relative_squared_error: 1.0403, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6122, build_cpu_time: 0.0169, build_memory: 2565412058.2937, f_measure: 0.6162, kappa: 0.214, kb_relative_information_score: 30.8481, mean_absolute_error: 0.4379, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.6172, predictive_accuracy: 0.6154, prior_entropy: 0.9815, recall: 0.6154, relative_absolute_error: 0.8989, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5134, root_relative_squared_error: 1.0403, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5408, build_cpu_time: 1.2449, build_memory: 859938311.1049, f_measure: 0.5331, kappa: 0.0356, kb_relative_information_score: 11.9309, mean_absolute_error: 0.4619, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5311, predictive_accuracy: 0.5455, prior_entropy: 0.9815, recall: 0.5455, relative_absolute_error: 0.9482, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.574, root_relative_squared_error: 1.1631, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5558, build_cpu_time: 2.7434, build_memory: 26143888.3357, f_measure: 0.5519, kappa: 0.0741, kb_relative_information_score: 20.6289, mean_absolute_error: 0.4495, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5498, predictive_accuracy: 0.5594, prior_entropy: 0.9815, recall: 0.5594, relative_absolute_error: 0.9228, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5875, root_relative_squared_error: 1.1906, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5541, build_cpu_time: 5.0715, build_memory: 3246791969.5944, f_measure: 0.5578, kappa: 0.0868, kb_relative_information_score: 22.6833, mean_absolute_error: 0.4454, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5557, predictive_accuracy: 0.5629, prior_entropy: 0.9815, recall: 0.5629, relative_absolute_error: 0.9143, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.6132, root_relative_squared_error: 1.2426, scimark_benchmark: 924.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5545, build_cpu_time: 9.5786, build_memory: 791747941.5944, f_measure: 0.5685, kappa: 0.1119, kb_relative_information_score: 24.9059, mean_absolute_error: 0.4408, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5675, predictive_accuracy: 0.5699, prior_entropy: 0.9815, recall: 0.5699, relative_absolute_error: 0.9049, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.628, root_relative_squared_error: 1.2725, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5425, build_cpu_time: 19.6309, build_memory: 731048393.0909, f_measure: 0.5516, kappa: 0.0744, kb_relative_information_score: 17.0882, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5495, predictive_accuracy: 0.5559, prior_entropy: 0.9815, recall: 0.5559, relative_absolute_error: 0.9328, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.645, root_relative_squared_error: 1.3069, scimark_benchmark: 925.7673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5068, build_cpu_time: 12.5016, build_memory: 1138890763.972, f_measure: 0.5211, kappa: 0.0123, kb_relative_information_score: 3.3458, mean_absolute_error: 0.4759, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.519, predictive_accuracy: 0.5245, prior_entropy: 0.9815, recall: 0.5245, relative_absolute_error: 0.9769, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.6679, root_relative_squared_error: 1.3534, scimark_benchmark: 938.6131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5068, build_cpu_time: 14.2908, build_memory: 1040470684.5594, f_measure: 0.5211, kappa: 0.0123, kb_relative_information_score: 3.3458, mean_absolute_error: 0.4759, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.519, predictive_accuracy: 0.5245, prior_entropy: 0.9815, recall: 0.5245, relative_absolute_error: 0.9769, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.6679, root_relative_squared_error: 1.3534, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.507, build_cpu_time: 9.4646, build_memory: 131237924, f_measure: 0.5211, kappa: 0.0123, kb_relative_information_score: 3.8514, mean_absolute_error: 0.4751, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.519, predictive_accuracy: 0.5245, prior_entropy: 0.9815, recall: 0.5245, relative_absolute_error: 0.9752, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.6666, root_relative_squared_error: 1.3507, scimark_benchmark: 942.0692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.513, build_cpu_time: 4.372, build_memory: 849262465.5944, f_measure: 0.5061, kappa: -0.0191, kb_relative_information_score: -0.5564, mean_absolute_error: 0.4819, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5035, predictive_accuracy: 0.5105, prior_entropy: 0.9815, recall: 0.5105, relative_absolute_error: 0.9893, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.6639, root_relative_squared_error: 1.3453, scimark_benchmark: 942.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5139, build_cpu_time: 2.2133, build_memory: 106195868.7832, f_measure: 0.5405, kappa: 0.0541, kb_relative_information_score: 5.4375, mean_absolute_error: 0.4725, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5393, predictive_accuracy: 0.542, prior_entropy: 0.9815, recall: 0.542, relative_absolute_error: 0.9699, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.6405, root_relative_squared_error: 1.2978, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5699, build_cpu_time: 0.6775, build_memory: 1002064648.1119, f_measure: 0.5528, kappa: 0.076, kb_relative_information_score: 19.3152, mean_absolute_error: 0.4517, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5513, predictive_accuracy: 0.5629, prior_entropy: 0.9815, recall: 0.5629, relative_absolute_error: 0.9272, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5382, root_relative_squared_error: 1.0905, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5795, build_cpu_time: 0.8486, build_memory: 188999830.6573, f_measure: 0.5671, kappa: 0.1056, kb_relative_information_score: 26.6247, mean_absolute_error: 0.4394, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5662, predictive_accuracy: 0.5769, prior_entropy: 0.9815, recall: 0.5769, relative_absolute_error: 0.9019, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5472, root_relative_squared_error: 1.1088, scimark_benchmark: 916.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5509, build_cpu_time: 1.8887, build_memory: 677702445.3706, f_measure: 0.5539, kappa: 0.0809, kb_relative_information_score: 15.822, mean_absolute_error: 0.4571, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5524, predictive_accuracy: 0.5559, prior_entropy: 0.9815, recall: 0.5559, relative_absolute_error: 0.9382, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.5829, root_relative_squared_error: 1.1813, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5297, build_cpu_time: 2.9558, build_memory: 817564172.1399, f_measure: 0.5633, kappa: 0.0994, kb_relative_information_score: 18.3169, mean_absolute_error: 0.4547, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5616, predictive_accuracy: 0.5664, prior_entropy: 0.9815, recall: 0.5664, relative_absolute_error: 0.9334, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.604, root_relative_squared_error: 1.224, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6079, build_cpu_time: 0.0262, build_memory: 646979667.2448, f_measure: 0.5794, kappa: 0.1308, kb_relative_information_score: 24.5115, mean_absolute_error: 0.448, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5784, predictive_accuracy: 0.5874, prior_entropy: 0.9815, recall: 0.5874, relative_absolute_error: 0.9196, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0124, scimark_benchmark: 937.5625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6079, build_cpu_time: 0.0239, build_memory: 633158970.7692, f_measure: 0.5794, kappa: 0.1308, kb_relative_information_score: 24.5115, mean_absolute_error: 0.448, mean_prior_absolute_error: 0.4872, number_of_instances: 286, precision: 0.5784, predictive_accuracy: 0.5874, prior_entropy: 0.9815, recall: 0.5874, relative_absolute_error: 0.9196, root_mean_prior_squared_error: 0.4935, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0124, scimark_benchmark: 930.5854,

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