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 quake

Supervised Classification on quake

Task 3638 Supervised Classification quake 559 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:

559 Runs

Fetching data
Fetching data
Search runs in more detail run
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.518, f_measure: 0.5236, kappa: 0.033, kb_relative_information_score: 39.1636, mean_absolute_error: 0.4837, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5224, predictive_accuracy: 0.5262, prior_entropy: 0.9912, recall: 0.5262, relative_absolute_error: 0.9793, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5691, root_relative_squared_error: 1.1452, scimark_benchmark: 1363.454, usercpu_time_millis: 270, usercpu_time_millis_testing: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3963, kb_relative_information_score: 205.6386, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9912, recall: 0.5551, relative_absolute_error: 0.9007, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422, scimark_benchmark: 1363.454, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3963, kb_relative_information_score: 205.6386, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9912, recall: 0.5551, relative_absolute_error: 0.9007, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422, scimark_benchmark: 887.6719, usercpu_time_millis: 5930, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 5410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3963, kb_relative_information_score: 205.6386, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9912, recall: 0.5551, relative_absolute_error: 0.9007, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422, scimark_benchmark: 1297.6599, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5292, f_measure: 0.4398, kappa: 0.0128, kb_relative_information_score: 8.6206, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5305, predictive_accuracy: 0.5546, prior_entropy: 0.9912, recall: 0.5546, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9989, scimark_benchmark: 938.343, usercpu_time_millis: 330, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5123, f_measure: 0.5185, kappa: 0.0246, kb_relative_information_score: 44.8401, mean_absolute_error: 0.4812, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5182, predictive_accuracy: 0.5188, prior_entropy: 0.9912, recall: 0.5188, relative_absolute_error: 0.9742, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6937, root_relative_squared_error: 1.3958, scimark_benchmark: 1331.6907, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5345, f_measure: 0.4648, kappa: 0.024, kb_relative_information_score: 13.8959, mean_absolute_error: 0.4913, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.535, predictive_accuracy: 0.5556, prior_entropy: 0.9912, recall: 0.5556, relative_absolute_error: 0.9946, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9992, scimark_benchmark: 938.0414, usercpu_time_millis: 48270, usercpu_time_millis_testing: 460, usercpu_time_millis_training: 47810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5042, f_measure: 0.487, kappa: 0.0089, kb_relative_information_score: 134.3987, mean_absolute_error: 0.461, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5125, predictive_accuracy: 0.539, prior_entropy: 0.9912, recall: 0.539, relative_absolute_error: 0.9333, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.679, root_relative_squared_error: 1.3662, scimark_benchmark: 1363.434, usercpu_time_millis: 2830, usercpu_time_millis_testing: 1340, usercpu_time_millis_training: 1490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3963, kb_relative_information_score: 0.0087, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9912, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1325.2092, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3963, kb_relative_information_score: -0.0094, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9912, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1250.8301, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5236, f_measure: 0.5254, kappa: 0.0364, kb_relative_information_score: 37.8911, mean_absolute_error: 0.4844, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5243, predictive_accuracy: 0.5308, prior_entropy: 0.9912, recall: 0.5308, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5328, root_relative_squared_error: 1.0722, scimark_benchmark: 1331.6907, usercpu_time_millis: 960, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5195, f_measure: 0.5242, kappa: 0.0389, kb_relative_information_score: 65.1943, mean_absolute_error: 0.4766, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5253, predictive_accuracy: 0.5234, prior_entropy: 0.9912, recall: 0.5234, relative_absolute_error: 0.9649, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6904, root_relative_squared_error: 1.3892, scimark_benchmark: 1301.9956, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5207, f_measure: 0.5086, kappa: 0.0131, kb_relative_information_score: 24.2872, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5133, predictive_accuracy: 0.5294, prior_entropy: 0.9912, recall: 0.5294, relative_absolute_error: 0.9878, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.532, root_relative_squared_error: 1.0705, scimark_benchmark: 1316.0472, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.4146, kappa: -0.0039, kb_relative_information_score: -5.4879, mean_absolute_error: 0.4949, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.4924, predictive_accuracy: 0.55, prior_entropy: 0.9912, recall: 0.55, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4989, root_relative_squared_error: 1.0039, scimark_benchmark: 1290.1085, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.5062, kappa: 0.0008, kb_relative_information_score: -12.1518, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5065, predictive_accuracy: 0.506, prior_entropy: 0.9912, recall: 0.506, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.7029, root_relative_squared_error: 1.4144, scimark_benchmark: 825.5282, usercpu_time_millis: 440, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, f_measure: 0.3992, kappa: 0.0025, kb_relative_information_score: 209.7094, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.6421, predictive_accuracy: 0.556, prior_entropy: 0.9912, recall: 0.556, relative_absolute_error: 0.8989, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6663, root_relative_squared_error: 1.3408, scimark_benchmark: 1355.7054, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3963, kb_relative_information_score: 0.0268, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9912, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1358.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4903, f_measure: 0.4979, kappa: -0.0196, kb_relative_information_score: -24.3643, mean_absolute_error: 0.4968, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.4963, predictive_accuracy: 0.5032, prior_entropy: 0.9912, recall: 0.5032, relative_absolute_error: 1.0058, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.7048, root_relative_squared_error: 1.4183, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5156, f_measure: 0.4841, kappa: 0.0335, kb_relative_information_score: 209.7094, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5371, predictive_accuracy: 0.556, prior_entropy: 0.9912, recall: 0.556, relative_absolute_error: 0.8989, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6663, root_relative_squared_error: 1.3408, scimark_benchmark: 1353.5686, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3963, kb_relative_information_score: -0.0094, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9912, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1503.3362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3963, kb_relative_information_score: 0.0268, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9912, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5083, f_measure: 0.4641, kappa: 0.0152, kb_relative_information_score: 53.9986, mean_absolute_error: 0.4827, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.523, predictive_accuracy: 0.5505, prior_entropy: 0.9912, recall: 0.5505, relative_absolute_error: 0.9773, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5169, root_relative_squared_error: 1.0401, scimark_benchmark: 931.2336, usercpu_time_millis: 100, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5067, f_measure: 0.46, kappa: 0.0189, kb_relative_information_score: 14.21, mean_absolute_error: 0.4912, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5298, predictive_accuracy: 0.5537, prior_entropy: 0.9912, recall: 0.5537, relative_absolute_error: 0.9944, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0079, scimark_benchmark: 945.6434, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5129, f_measure: 0.4589, kappa: 0.0184, kb_relative_information_score: 8.0625, mean_absolute_error: 0.4924, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5297, predictive_accuracy: 0.5537, prior_entropy: 0.9912, recall: 0.5537, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.001, scimark_benchmark: 941.7954, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5129, f_measure: 0.4589, kappa: 0.0184, kb_relative_information_score: 8.0625, mean_absolute_error: 0.4924, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5297, predictive_accuracy: 0.5537, prior_entropy: 0.9912, recall: 0.5537, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.001, scimark_benchmark: 923.7642, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5129, f_measure: 0.4589, kappa: 0.0184, kb_relative_information_score: 8.0625, mean_absolute_error: 0.4924, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5297, predictive_accuracy: 0.5537, prior_entropy: 0.9912, recall: 0.5537, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.001, scimark_benchmark: 894.7455, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5174, f_measure: 0.4734, kappa: 0.0055, kb_relative_information_score: 75.6602, mean_absolute_error: 0.4781, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5108, predictive_accuracy: 0.5418, prior_entropy: 0.9912, recall: 0.5418, relative_absolute_error: 0.9679, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5214, root_relative_squared_error: 1.0491, scimark_benchmark: 936.6206, usercpu_time_millis: 810, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5213, f_measure: 0.4682, kappa: 0.0163, kb_relative_information_score: 81.8394, mean_absolute_error: 0.4764, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.523, predictive_accuracy: 0.55, prior_entropy: 0.9912, recall: 0.55, relative_absolute_error: 0.9645, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.524, root_relative_squared_error: 1.0543, scimark_benchmark: 936.6206, usercpu_time_millis: 290, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5187, f_measure: 0.4664, kappa: 0.0087, kb_relative_information_score: 77.714, mean_absolute_error: 0.4778, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5147, predictive_accuracy: 0.5459, prior_entropy: 0.9912, recall: 0.5459, relative_absolute_error: 0.9673, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5203, root_relative_squared_error: 1.0469, scimark_benchmark: 942.1229, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5218, f_measure: 0.452, kappa: 0.0229, kb_relative_information_score: 85.7937, mean_absolute_error: 0.4758, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5426, predictive_accuracy: 0.5579, prior_entropy: 0.9912, recall: 0.5579, relative_absolute_error: 0.9633, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5221, root_relative_squared_error: 1.0507, scimark_benchmark: 922.9039, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5244, f_measure: 0.4716, kappa: 0.0277, kb_relative_information_score: 76.859, mean_absolute_error: 0.4781, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5364, predictive_accuracy: 0.556, prior_entropy: 0.9912, recall: 0.556, relative_absolute_error: 0.9679, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.0392, scimark_benchmark: 938.9865, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5113, f_measure: 0.5014, kappa: 0.0086, kb_relative_information_score: 5.5859, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5111, predictive_accuracy: 0.5312, prior_entropy: 0.9912, recall: 0.5312, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5053, root_relative_squared_error: 1.0168, scimark_benchmark: 936.6206, usercpu_time_millis: 310, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5209, f_measure: 0.5018, kappa: 0.0207, kb_relative_information_score: 12.2231, mean_absolute_error: 0.4912, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5193, predictive_accuracy: 0.5404, prior_entropy: 0.9912, recall: 0.5404, relative_absolute_error: 0.9945, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0105, scimark_benchmark: 924.6116, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5238, f_measure: 0.5059, kappa: 0.0387, kb_relative_information_score: 11.396, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5327, predictive_accuracy: 0.5514, prior_entropy: 0.9912, recall: 0.5514, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5013, root_relative_squared_error: 1.0088, scimark_benchmark: 924.6116, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5348, f_measure: 0.5022, kappa: 0.0439, kb_relative_information_score: 16.5352, mean_absolute_error: 0.4908, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5392, predictive_accuracy: 0.5565, prior_entropy: 0.9912, recall: 0.5565, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4993, root_relative_squared_error: 1.0047, scimark_benchmark: 947.9494, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5298, f_measure: 0.4779, kappa: 0.015, kb_relative_information_score: 13.0819, mean_absolute_error: 0.4913, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5191, predictive_accuracy: 0.5464, prior_entropy: 0.9912, recall: 0.5464, relative_absolute_error: 0.9947, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4983, root_relative_squared_error: 1.0028, scimark_benchmark: 929.566, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3963, kb_relative_information_score: -0.0094, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9912, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 943.2817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5241, f_measure: 0.281, kappa: 0.0013, kb_relative_information_score: -77.5208, mean_absolute_error: 0.5062, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5397, predictive_accuracy: 0.4463, prior_entropy: 0.9912, recall: 0.4463, relative_absolute_error: 1.0248, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5114, root_relative_squared_error: 1.0291, scimark_benchmark: 929.566, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5404, f_measure: 0.4914, kappa: 0.0265, kb_relative_information_score: 17.8927, mean_absolute_error: 0.4906, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5267, predictive_accuracy: 0.5491, prior_entropy: 0.9912, recall: 0.5491, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.498, root_relative_squared_error: 1.0021, scimark_benchmark: 933.8635, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.518, f_measure: 0.5162, kappa: 0.0176, kb_relative_information_score: 34.5614, mean_absolute_error: 0.4843, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5149, predictive_accuracy: 0.5197, prior_entropy: 0.9912, recall: 0.5197, relative_absolute_error: 0.9804, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5912, root_relative_squared_error: 1.1896, scimark_benchmark: 929.566, usercpu_time_millis: 230, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, f_measure: 0.4402, kappa: -0.0071, kb_relative_information_score: 0.3131, mean_absolute_error: 0.4933, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.496, predictive_accuracy: 0.5432, prior_entropy: 0.9912, recall: 0.5432, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.0045, scimark_benchmark: 932.3943, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5104, f_measure: 0.4052, kappa: -0.006, kb_relative_information_score: 5.1201, mean_absolute_error: 0.4927, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.4713, predictive_accuracy: 0.5505, prior_entropy: 0.9912, recall: 0.5505, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0007, scimark_benchmark: 911.0478, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3963, kb_relative_information_score: 205.6386, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9912, recall: 0.5551, relative_absolute_error: 0.9007, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422, scimark_benchmark: 929.0255, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3963, kb_relative_information_score: 0.0268, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9912, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 904.3001, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5064, f_measure: 0.3963, kb_relative_information_score: -27.3241, mean_absolute_error: 0.4979, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9912, recall: 0.5551, relative_absolute_error: 1.0081, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4983, root_relative_squared_error: 1.0027, scimark_benchmark: 947.9494, usercpu_time_millis: 560, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5189, f_measure: 0.4379, kappa: 0.008, kb_relative_information_score: 5.3569, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5211, predictive_accuracy: 0.5523, prior_entropy: 0.9912, recall: 0.5523, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0003, scimark_benchmark: 917.7039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5125, f_measure: 0.5189, kappa: 0.0256, kb_relative_information_score: 93.6903, mean_absolute_error: 0.4702, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5193, predictive_accuracy: 0.5298, prior_entropy: 0.9912, recall: 0.5298, relative_absolute_error: 0.9519, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6857, root_relative_squared_error: 1.3798, scimark_benchmark: 891.2195, usercpu_time_millis: 111280, usercpu_time_millis_testing: 580, usercpu_time_millis_training: 110700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3963, kb_relative_information_score: 205.6386, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9912, recall: 0.5551, relative_absolute_error: 0.9007, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422, scimark_benchmark: 941.8057, usercpu_time_millis: 5940, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 5420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3963, kb_relative_information_score: 0.0268, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9912, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 941.7954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3963, kb_relative_information_score: 0.0268, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9912, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 945.3151, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3963, kb_relative_information_score: 0.0268, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9912, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 929.566, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5182, f_measure: 0.5234, kappa: 0.0342, kb_relative_information_score: 36.4331, mean_absolute_error: 0.4835, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.523, predictive_accuracy: 0.5239, prior_entropy: 0.9912, recall: 0.5239, relative_absolute_error: 0.9789, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6281, root_relative_squared_error: 1.2638, scimark_benchmark: 918.4924, usercpu_time_millis: 4570, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5217, f_measure: 0.53, kappa: 0.0482, kb_relative_information_score: -7.0819, mean_absolute_error: 0.4945, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5311, predictive_accuracy: 0.5409, prior_entropy: 0.9912, recall: 0.5409, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5214, root_relative_squared_error: 1.0493, scimark_benchmark: 947.0793, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5295, f_measure: 0.5232, kappa: 0.0422, kb_relative_information_score: 19.5641, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5293, predictive_accuracy: 0.5432, prior_entropy: 0.9912, recall: 0.5432, relative_absolute_error: 0.9916, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.01, scimark_benchmark: 902.4773, usercpu_time_millis: 410, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3963, kb_relative_information_score: 0.0087, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9912, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 935.8986, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3963, kb_relative_information_score: 205.6386, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9912, recall: 0.5551, relative_absolute_error: 0.9007, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422, scimark_benchmark: 934.6252, usercpu_time_millis: 6020, usercpu_time_millis_testing: 630, usercpu_time_millis_training: 5390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3963, kb_relative_information_score: 205.6386, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9912, recall: 0.5551, relative_absolute_error: 0.9007, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.667, root_relative_squared_error: 1.3422, scimark_benchmark: 945.0164, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5289, build_cpu_time: 0.4438, build_memory: 363038472.9293, f_measure: 0.4893, kappa: 0.0354, kb_relative_information_score: 8.2966, mean_absolute_error: 0.4921, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5366, predictive_accuracy: 0.5556, prior_entropy: 0.9912, recall: 0.5556, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 940.2036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5289, build_cpu_time: 0.4418, build_memory: 1309561352.3967, f_measure: 0.4893, kappa: 0.0354, kb_relative_information_score: 8.2966, mean_absolute_error: 0.4921, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5366, predictive_accuracy: 0.5556, prior_entropy: 0.9912, recall: 0.5556, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5289, build_cpu_time: 0.4862, build_memory: 1535651842.7695, f_measure: 0.4893, kappa: 0.0354, kb_relative_information_score: 8.2966, mean_absolute_error: 0.4921, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5366, predictive_accuracy: 0.5556, prior_entropy: 0.9912, recall: 0.5556, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 929.9115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5236, build_cpu_time: 0.3728, build_memory: 855300603.8972, f_measure: 0.4802, kappa: 0.0286, kb_relative_information_score: 7.483, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5332, predictive_accuracy: 0.5542, prior_entropy: 0.9912, recall: 0.5542, relative_absolute_error: 0.9967, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0004, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.511, build_cpu_time: 0.1723, build_memory: 273850823.989, f_measure: 0.5141, kappa: 0.0136, kb_relative_information_score: 23.7385, mean_absolute_error: 0.4878, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5129, predictive_accuracy: 0.5202, prior_entropy: 0.9912, recall: 0.5202, relative_absolute_error: 0.9876, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5393, root_relative_squared_error: 1.0852, scimark_benchmark: 939.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5113, build_cpu_time: 0.3237, build_memory: 352109286.6777, f_measure: 0.5151, kappa: 0.0157, kb_relative_information_score: 22.5893, mean_absolute_error: 0.4877, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.514, predictive_accuracy: 0.522, prior_entropy: 0.9912, recall: 0.522, relative_absolute_error: 0.9874, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.55, root_relative_squared_error: 1.1068, scimark_benchmark: 918.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5104, build_cpu_time: 0.38, build_memory: 111603418.4242, f_measure: 0.5196, kappa: 0.0247, kb_relative_information_score: 22.2606, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5185, predictive_accuracy: 0.5257, prior_entropy: 0.9912, recall: 0.5257, relative_absolute_error: 0.9872, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5551, root_relative_squared_error: 1.1171, scimark_benchmark: 942.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5085, build_cpu_time: 0.4932, build_memory: 767466338.5785, f_measure: 0.5173, kappa: 0.0201, kb_relative_information_score: 19.0767, mean_absolute_error: 0.4882, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5162, predictive_accuracy: 0.5239, prior_entropy: 0.9912, recall: 0.5239, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5569, root_relative_squared_error: 1.1205, scimark_benchmark: 918.9027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5105, build_cpu_time: 0.5847, build_memory: 941570252.4628, f_measure: 0.5196, kappa: 0.0247, kb_relative_information_score: 24.4001, mean_absolute_error: 0.4872, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5186, predictive_accuracy: 0.5262, prior_entropy: 0.9912, recall: 0.5262, relative_absolute_error: 0.9863, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5561, root_relative_squared_error: 1.119, scimark_benchmark: 915.3856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5097, build_cpu_time: 23.9718, build_memory: 498112538.6667, f_measure: 0.5107, kappa: 0.0081, kb_relative_information_score: 12.9347, mean_absolute_error: 0.4882, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5101, predictive_accuracy: 0.5115, prior_entropy: 0.9912, recall: 0.5115, relative_absolute_error: 0.9884, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6854, root_relative_squared_error: 1.3793, scimark_benchmark: 877.9084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5094, build_cpu_time: 9.0458, build_memory: 323610031.8127, f_measure: 0.5127, kappa: 0.0124, kb_relative_information_score: 13.6838, mean_absolute_error: 0.4884, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5122, predictive_accuracy: 0.5133, prior_entropy: 0.9912, recall: 0.5133, relative_absolute_error: 0.9887, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.685, root_relative_squared_error: 1.3784, scimark_benchmark: 941.8828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5104, build_cpu_time: 3.0963, build_memory: 1863188301.7668, f_measure: 0.5109, kappa: 0.0087, kb_relative_information_score: 9.3691, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5104, predictive_accuracy: 0.5115, prior_entropy: 0.9912, recall: 0.5115, relative_absolute_error: 0.9907, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6853, root_relative_squared_error: 1.379, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5098, build_cpu_time: 0.7745, build_memory: 2180141847.0413, f_measure: 0.5085, kappa: 0.004, kb_relative_information_score: -1.0755, mean_absolute_error: 0.4915, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.508, predictive_accuracy: 0.5092, prior_entropy: 0.9912, recall: 0.5092, relative_absolute_error: 0.995, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6867, root_relative_squared_error: 1.3817, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5087, build_cpu_time: 0.2321, build_memory: 1490100957.8292, f_measure: 0.5103, kappa: 0.0073, kb_relative_information_score: -1.5301, mean_absolute_error: 0.4915, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5097, predictive_accuracy: 0.511, prior_entropy: 0.9912, recall: 0.511, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6863, root_relative_squared_error: 1.381, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5341, build_cpu_time: 8.8696, build_memory: 858696761.8916, f_measure: 0.5339, kappa: 0.0535, kb_relative_information_score: 135.7434, mean_absolute_error: 0.4608, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5329, predictive_accuracy: 0.5386, prior_entropy: 0.9912, recall: 0.5386, relative_absolute_error: 0.933, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6688, root_relative_squared_error: 1.3458, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5344, build_cpu_time: 15.0285, build_memory: 522635845.2929, f_measure: 0.5356, kappa: 0.057, kb_relative_information_score: 131.9639, mean_absolute_error: 0.4615, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5346, predictive_accuracy: 0.5399, prior_entropy: 0.9912, recall: 0.5399, relative_absolute_error: 0.9344, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6699, root_relative_squared_error: 1.348, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5336, build_cpu_time: 23.0835, build_memory: 819445402.0349, f_measure: 0.5348, kappa: 0.0553, kb_relative_information_score: 135.4773, mean_absolute_error: 0.4607, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5337, predictive_accuracy: 0.539, prior_entropy: 0.9912, recall: 0.539, relative_absolute_error: 0.9327, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6695, root_relative_squared_error: 1.3473, scimark_benchmark: 920.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5322, build_cpu_time: 39.9307, build_memory: 892879176.4004, f_measure: 0.5348, kappa: 0.0553, kb_relative_information_score: 136.0081, mean_absolute_error: 0.4606, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5337, predictive_accuracy: 0.539, prior_entropy: 0.9912, recall: 0.539, relative_absolute_error: 0.9325, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6696, root_relative_squared_error: 1.3475, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5324, build_cpu_time: 67.0485, build_memory: 1219977755.629, f_measure: 0.5341, kappa: 0.0538, kb_relative_information_score: 134.1607, mean_absolute_error: 0.4609, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.533, predictive_accuracy: 0.5381, prior_entropy: 0.9912, recall: 0.5381, relative_absolute_error: 0.933, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.67, root_relative_squared_error: 1.3482, scimark_benchmark: 892.8005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5213, build_cpu_time: 0.5788, build_memory: 277920913.3039, f_measure: 0.5114, kappa: 0.0094, kb_relative_information_score: 33.9932, mean_absolute_error: 0.4832, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5107, predictive_accuracy: 0.5124, prior_entropy: 0.9912, recall: 0.5124, relative_absolute_error: 0.9782, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6648, root_relative_squared_error: 1.3378, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5192, build_cpu_time: 0.3289, build_memory: 1190193488.4408, f_measure: 0.5172, kappa: 0.021, kb_relative_information_score: 33.1466, mean_absolute_error: 0.484, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5164, predictive_accuracy: 0.5184, prior_entropy: 0.9912, recall: 0.5184, relative_absolute_error: 0.9798, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6506, root_relative_squared_error: 1.3092, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5271, build_cpu_time: 0.2229, build_memory: 474753059.9118, f_measure: 0.5244, kappa: 0.0346, kb_relative_information_score: 68.2637, mean_absolute_error: 0.4762, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5232, predictive_accuracy: 0.5266, prior_entropy: 0.9912, recall: 0.5266, relative_absolute_error: 0.9641, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6171, root_relative_squared_error: 1.2418, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5136, build_cpu_time: 0.107, build_memory: 947092961.8659, f_measure: 0.5096, kappa: 0.0046, kb_relative_information_score: 22.1552, mean_absolute_error: 0.486, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5084, predictive_accuracy: 0.5119, prior_entropy: 0.9912, recall: 0.5119, relative_absolute_error: 0.984, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6016, root_relative_squared_error: 1.2106, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5156, build_cpu_time: 0.0384, build_memory: 933234312.8742, f_measure: 0.5197, kappa: 0.0254, kb_relative_information_score: 29.5396, mean_absolute_error: 0.4849, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5187, predictive_accuracy: 0.5216, prior_entropy: 0.9912, recall: 0.5216, relative_absolute_error: 0.9818, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5734, root_relative_squared_error: 1.1539, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5131, build_cpu_time: 0.0395, build_memory: 723698030.9275, f_measure: 0.4589, kappa: 0.0184, kb_relative_information_score: 8.1543, mean_absolute_error: 0.4924, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5297, predictive_accuracy: 0.5537, prior_entropy: 0.9912, recall: 0.5537, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.001, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5129, build_cpu_time: 0.0427, build_memory: 1271822792.382, f_measure: 0.4589, kappa: 0.0184, kb_relative_information_score: 8.0625, mean_absolute_error: 0.4924, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5297, predictive_accuracy: 0.5537, prior_entropy: 0.9912, recall: 0.5537, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.001, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5129, build_cpu_time: 0.0418, build_memory: 1648811532.4628, f_measure: 0.4589, kappa: 0.0184, kb_relative_information_score: 8.0625, mean_absolute_error: 0.4924, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5297, predictive_accuracy: 0.5537, prior_entropy: 0.9912, recall: 0.5537, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.001, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5129, build_cpu_time: 0.0416, build_memory: 1024460036.4738, f_measure: 0.4589, kappa: 0.0184, kb_relative_information_score: 8.0625, mean_absolute_error: 0.4924, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5297, predictive_accuracy: 0.5537, prior_entropy: 0.9912, recall: 0.5537, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.001, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5129, build_cpu_time: 0.0686, build_memory: 1227254867.3388, f_measure: 0.4589, kappa: 0.0184, kb_relative_information_score: 8.0625, mean_absolute_error: 0.4924, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5297, predictive_accuracy: 0.5537, prior_entropy: 0.9912, recall: 0.5537, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.001, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5483, build_cpu_time: 99.9739, build_memory: 431844411.416, f_measure: 0.5289, kappa: 0.073, kb_relative_information_score: 35.1613, mean_absolute_error: 0.4873, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5524, predictive_accuracy: 0.5647, prior_entropy: 0.9912, recall: 0.5647, relative_absolute_error: 0.9865, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0006, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5459, build_cpu_time: 218.3528, build_memory: 783794710.3581, f_measure: 0.5222, kappa: 0.0548, kb_relative_information_score: 31.8001, mean_absolute_error: 0.4878, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5396, predictive_accuracy: 0.5546, prior_entropy: 0.9912, recall: 0.5546, relative_absolute_error: 0.9877, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4981, root_relative_squared_error: 1.0023, scimark_benchmark: 940.3132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5287, build_cpu_time: 386.4073, build_memory: 2537352106.1451, f_measure: 0.5173, kappa: 0.0432, kb_relative_information_score: 21.3239, mean_absolute_error: 0.4897, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5322, predictive_accuracy: 0.5487, prior_entropy: 0.9912, recall: 0.5487, relative_absolute_error: 0.9914, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5028, root_relative_squared_error: 1.0117, scimark_benchmark: 942.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5144, build_cpu_time: 1609.1282, build_memory: 113252723.8531, f_measure: 0.5219, kappa: 0.0315, kb_relative_information_score: 18.3927, mean_absolute_error: 0.4889, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5224, predictive_accuracy: 0.5326, prior_entropy: 0.9912, recall: 0.5326, relative_absolute_error: 0.9897, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5233, root_relative_squared_error: 1.053, scimark_benchmark: 931.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5314, build_cpu_time: 3.9421, build_memory: 350107857.5758, f_measure: 0.4937, kappa: 0.0327, kb_relative_information_score: 19.6953, mean_absolute_error: 0.4902, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5318, predictive_accuracy: 0.5523, prior_entropy: 0.9912, recall: 0.5523, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0006, scimark_benchmark: 931.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5314, build_cpu_time: 3.8812, build_memory: 513192242.5124, f_measure: 0.4937, kappa: 0.0327, kb_relative_information_score: 19.6953, mean_absolute_error: 0.4902, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5318, predictive_accuracy: 0.5523, prior_entropy: 0.9912, recall: 0.5523, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0006, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5314, build_cpu_time: 4.3225, build_memory: 449739590.3361, f_measure: 0.4937, kappa: 0.0327, kb_relative_information_score: 19.6953, mean_absolute_error: 0.4902, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5318, predictive_accuracy: 0.5523, prior_entropy: 0.9912, recall: 0.5523, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0006, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5314, build_cpu_time: 3.9474, build_memory: 1436271643.2911, f_measure: 0.4937, kappa: 0.0327, kb_relative_information_score: 19.6953, mean_absolute_error: 0.4902, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5318, predictive_accuracy: 0.5523, prior_entropy: 0.9912, recall: 0.5523, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0006, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5314, build_cpu_time: 3.9901, build_memory: 985948503.034, f_measure: 0.4937, kappa: 0.0327, kb_relative_information_score: 19.6953, mean_absolute_error: 0.4902, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5318, predictive_accuracy: 0.5523, prior_entropy: 0.9912, recall: 0.5523, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0006, scimark_benchmark: 920.2874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5232, build_cpu_time: 0.887, build_memory: 384875699.9229, f_measure: 0.5236, kappa: 0.0383, kb_relative_information_score: 7.7172, mean_absolute_error: 0.4918, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5264, predictive_accuracy: 0.5386, prior_entropy: 0.9912, recall: 0.5386, relative_absolute_error: 0.9957, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5025, root_relative_squared_error: 1.0111, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5311, build_cpu_time: 1.466, build_memory: 1125727507.0009, f_measure: 0.5232, kappa: 0.0404, kb_relative_information_score: 26.3148, mean_absolute_error: 0.4885, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.528, predictive_accuracy: 0.5413, prior_entropy: 0.9912, recall: 0.5413, relative_absolute_error: 0.9889, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5034, root_relative_squared_error: 1.0129, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5339, build_cpu_time: 2.91, build_memory: 300373918.8393, f_measure: 0.5273, kappa: 0.0437, kb_relative_information_score: 34.4491, mean_absolute_error: 0.4865, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5289, predictive_accuracy: 0.5395, prior_entropy: 0.9912, recall: 0.5395, relative_absolute_error: 0.9849, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5052, root_relative_squared_error: 1.0165, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5248, build_cpu_time: 6.0746, build_memory: 443012335.629, f_measure: 0.5199, kappa: 0.0311, kb_relative_information_score: 32.8443, mean_absolute_error: 0.4865, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5227, predictive_accuracy: 0.5354, prior_entropy: 0.9912, recall: 0.5354, relative_absolute_error: 0.985, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5124, root_relative_squared_error: 1.0311, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5247, build_cpu_time: 0.2998, build_memory: 178256892.4848, f_measure: 0.5184, kappa: 0.0425, kb_relative_information_score: 21.507, mean_absolute_error: 0.4894, mean_prior_absolute_error: 0.4939, number_of_instances: 2178, precision: 0.5312, predictive_accuracy: 0.5473, prior_entropy: 0.9912, recall: 0.5473, relative_absolute_error: 0.9909, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0074, scimark_benchmark: 925.481,

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