DEVELOPMENT...

A PHP Error was encountered

Severity: Warning

Message: fopen(/data/log/sql.log): failed to open stream: Permission denied

Filename: models/Log.php

Line Number: 37

Backtrace:

File: /var/www/openml/openml_OS/models/Log.php
Line: 37
Function: fopen

File: /var/www/openml/openml_OS/core/MY_Database_Read_Model.php
Line: 30
Function: sql

File: /var/www/openml/openml_OS/views/pages/frontend/t/pre.php
Line: 104
Function: query

File: /var/www/openml/openml_OS/helpers/cms_helper.php
Line: 19
Function: view

File: /var/www/openml/openml_OS/controllers/Frontend.php
Line: 85
Function: loadpage

File: /var/www/openml/index.php
Line: 337
Function: require_once

A PHP Error was encountered

Severity: Warning

Message: fopen(/data/log/sql.log): failed to open stream: Permission denied

Filename: models/Log.php

Line Number: 37

Backtrace:

File: /var/www/openml/openml_OS/models/Log.php
Line: 37
Function: fopen

File: /var/www/openml/openml_OS/core/MY_Database_Read_Model.php
Line: 30
Function: sql

File: /var/www/openml/openml_OS/views/pages/frontend/t/pre.php
Line: 124
Function: query

File: /var/www/openml/openml_OS/helpers/cms_helper.php
Line: 19
Function: view

File: /var/www/openml/openml_OS/controllers/Frontend.php
Line: 85
Function: loadpage

File: /var/www/openml/index.php
Line: 337
Function: require_once

A PHP Error was encountered

Severity: Warning

Message: fopen(/data/log/sql.log): failed to open stream: Permission denied

Filename: models/Log.php

Line Number: 37

Backtrace:

File: /var/www/openml/openml_OS/models/Log.php
Line: 37
Function: fopen

File: /var/www/openml/openml_OS/core/MY_Database_Read_Model.php
Line: 30
Function: sql

File: /var/www/openml/openml_OS/views/pages/frontend/t/pre.php
Line: 117
Function: query

File: /var/www/openml/openml_OS/helpers/cms_helper.php
Line: 19
Function: view

File: /var/www/openml/openml_OS/controllers/Frontend.php
Line: 85
Function: loadpage

File: /var/www/openml/index.php
Line: 337
Function: require_once

OpenML
OpenML
Supervised Classification on analcatdata_supreme

Supervised Classification on analcatdata_supreme

Task 3594 Supervised Classification analcatdata_supreme 539 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:

539 Runs

Fetching data
Fetching data
Search runs in more detail run
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9859, kappa: 0.9613, kb_relative_information_score: 3849.0979, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9859, predictive_accuracy: 0.9859, prior_entropy: 0.7946, recall: 0.9859, relative_absolute_error: 0.0455, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.1012, root_relative_squared_error: 0.237, scimark_benchmark: 854.5188, usercpu_time_millis: 2360, usercpu_time_millis_testing: 2360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9835, kappa: 0.9549, kb_relative_information_score: 3843.8509, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9836, predictive_accuracy: 0.9835, prior_entropy: 0.7946, recall: 0.9835, relative_absolute_error: 0.0454, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.1286, root_relative_squared_error: 0.3012, scimark_benchmark: 940.3347, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8548, f_measure: 0.9256, kappa: 0.7868, kb_relative_information_score: 3173.228, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9354, predictive_accuracy: 0.9299, prior_entropy: 0.7946, recall: 0.9299, relative_absolute_error: 0.1923, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.2647, root_relative_squared_error: 0.6202, scimark_benchmark: 939.5088, usercpu_time_millis: 13680, usercpu_time_millis_testing: 1190, usercpu_time_millis_training: 12490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9894, kappa: 0.9708, kb_relative_information_score: 3918.0212, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9894, predictive_accuracy: 0.9894, prior_entropy: 0.7946, recall: 0.9894, relative_absolute_error: 0.0291, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.103, root_relative_squared_error: 0.2413, scimark_benchmark: 1386.5717, usercpu_time_millis: 280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9931, kappa: 0.9809, kb_relative_information_score: 3432.8736, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.1602, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.1391, root_relative_squared_error: 0.3259, scimark_benchmark: 1304.9611, usercpu_time_millis: 560, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6569, kb_relative_information_score: 1050.1039, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.5782, predictive_accuracy: 0.7604, prior_entropy: 0.7946, recall: 0.7604, relative_absolute_error: 0.6575, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.4895, root_relative_squared_error: 1.1468, scimark_benchmark: 938.343, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9931, kappa: 0.9809, kb_relative_information_score: 3905.6623, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.0405, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0832, root_relative_squared_error: 0.195, scimark_benchmark: 1250.8301, usercpu_time_millis: 310, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9933, kappa: 0.9817, kb_relative_information_score: 3939.9366, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 0.7946, recall: 0.9933, relative_absolute_error: 0.0271, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.072, root_relative_squared_error: 0.1688, scimark_benchmark: 1280.6952, usercpu_time_millis: 470, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9919, kappa: 0.9777, kb_relative_information_score: 3938.4374, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9919, predictive_accuracy: 0.9919, prior_entropy: 0.7946, recall: 0.9919, relative_absolute_error: 0.0255, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.088, root_relative_squared_error: 0.2063, scimark_benchmark: 1315.0767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9923, kappa: 0.9788, kb_relative_information_score: 3908.0641, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9924, predictive_accuracy: 0.9923, prior_entropy: 0.7946, recall: 0.9923, relative_absolute_error: 0.0373, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0844, root_relative_squared_error: 0.1977, scimark_benchmark: 1073.494, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9923, kappa: 0.9788, kb_relative_information_score: 3912.7458, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9924, predictive_accuracy: 0.9923, prior_entropy: 0.7946, recall: 0.9923, relative_absolute_error: 0.0368, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0846, root_relative_squared_error: 0.1982, scimark_benchmark: 1290.1085, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9931, kappa: 0.981, kb_relative_information_score: 3964.3776, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.019, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.1947, scimark_benchmark: 1339.3974, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0926, kb_relative_information_score: -5470.6992, mean_absolute_error: 0.7604, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.0574, predictive_accuracy: 0.2396, prior_entropy: 0.7946, recall: 0.2396, relative_absolute_error: 2.0861, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.872, root_relative_squared_error: 2.0428, scimark_benchmark: 1308.9788, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9918, kappa: 0.9776, kb_relative_information_score: 3928.4419, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9918, predictive_accuracy: 0.9919, prior_entropy: 0.7946, recall: 0.9919, relative_absolute_error: 0.0297, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0824, root_relative_squared_error: 0.193, scimark_benchmark: 1358.4523, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9931, kappa: 0.9809, kb_relative_information_score: 3964.3776, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.019, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.1947, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9916, kappa: 0.9769, kb_relative_information_score: 3945.835, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9916, predictive_accuracy: 0.9916, prior_entropy: 0.7946, recall: 0.9916, relative_absolute_error: 0.023, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0916, root_relative_squared_error: 0.2146, scimark_benchmark: 1353.5686, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.6569, kb_relative_information_score: -0.4283, mean_absolute_error: 0.3645, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.5782, predictive_accuracy: 0.7604, prior_entropy: 0.7946, recall: 0.7604, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.4269, root_relative_squared_error: 1, scimark_benchmark: 1505.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9921, kappa: 0.9782, kb_relative_information_score: 3917.1454, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 0.7946, recall: 0.9921, relative_absolute_error: 0.0346, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0862, root_relative_squared_error: 0.2018, scimark_benchmark: 1465.2979, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9764, kappa: 0.9357, kb_relative_information_score: 3753.4519, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9767, predictive_accuracy: 0.9763, prior_entropy: 0.7946, recall: 0.9763, relative_absolute_error: 0.0654, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.3566, scimark_benchmark: 931.2336, usercpu_time_millis: 460, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9764, kappa: 0.9357, kb_relative_information_score: 3728.7103, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9767, predictive_accuracy: 0.9763, prior_entropy: 0.7946, recall: 0.9763, relative_absolute_error: 0.0742, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.3434, scimark_benchmark: 932.3943, usercpu_time_millis: 560, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9749, kappa: 0.9315, kb_relative_information_score: 3648.3472, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9751, predictive_accuracy: 0.9748, prior_entropy: 0.7946, recall: 0.9748, relative_absolute_error: 0.0994, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.3423, scimark_benchmark: 941.7954, usercpu_time_millis: 470, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9749, kappa: 0.9315, kb_relative_information_score: 3648.3472, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9751, predictive_accuracy: 0.9748, prior_entropy: 0.7946, recall: 0.9748, relative_absolute_error: 0.0994, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.3423, scimark_benchmark: 923.7642, usercpu_time_millis: 470, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9749, kappa: 0.9315, kb_relative_information_score: 3648.3472, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9751, predictive_accuracy: 0.9748, prior_entropy: 0.7946, recall: 0.9748, relative_absolute_error: 0.0994, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.3423, scimark_benchmark: 894.7455, usercpu_time_millis: 480, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9928, kappa: 0.9802, kb_relative_information_score: 3960.3304, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9929, predictive_accuracy: 0.9928, prior_entropy: 0.7946, recall: 0.9928, relative_absolute_error: 0.0197, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0841, root_relative_squared_error: 0.1969, scimark_benchmark: 936.7115, usercpu_time_millis: 1120, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9931, kappa: 0.9809, kb_relative_information_score: 3964.1456, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.019, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.1947, scimark_benchmark: 936.6206, usercpu_time_millis: 530, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9931, kappa: 0.9809, kb_relative_information_score: 3964.3737, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.019, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.1947, scimark_benchmark: 942.1229, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9931, kappa: 0.9809, kb_relative_information_score: 3964.3751, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.019, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.1947, scimark_benchmark: 922.9039, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9931, kappa: 0.9809, kb_relative_information_score: 3964.3776, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.019, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.1947, scimark_benchmark: 938.9865, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9923, kappa: 0.9789, kb_relative_information_score: 3935.1734, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 0.7946, recall: 0.9923, relative_absolute_error: 0.0281, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0756, root_relative_squared_error: 0.1771, scimark_benchmark: 936.6206, usercpu_time_millis: 780, usercpu_time_millis_training: 780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9921, kappa: 0.9782, kb_relative_information_score: 3926.9576, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 0.7946, recall: 0.9921, relative_absolute_error: 0.0297, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0772, root_relative_squared_error: 0.1809, scimark_benchmark: 924.6116, usercpu_time_millis: 440, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9913, kappa: 0.9762, kb_relative_information_score: 3919.508, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9914, predictive_accuracy: 0.9914, prior_entropy: 0.7946, recall: 0.9914, relative_absolute_error: 0.0316, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.079, root_relative_squared_error: 0.1851, scimark_benchmark: 924.6116, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9916, kappa: 0.9768, kb_relative_information_score: 3913.7249, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9916, predictive_accuracy: 0.9916, prior_entropy: 0.7946, recall: 0.9916, relative_absolute_error: 0.0335, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0798, root_relative_squared_error: 0.1871, scimark_benchmark: 947.9494, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9923, kappa: 0.9788, kb_relative_information_score: 3907.5366, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9924, predictive_accuracy: 0.9923, prior_entropy: 0.7946, recall: 0.9923, relative_absolute_error: 0.036, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0798, root_relative_squared_error: 0.1869, scimark_benchmark: 929.566, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.6569, kb_relative_information_score: -0.4283, mean_absolute_error: 0.3645, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.5782, predictive_accuracy: 0.7604, prior_entropy: 0.7946, recall: 0.7604, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.4269, root_relative_squared_error: 1, scimark_benchmark: 943.2817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9901, kappa: 0.9727, kb_relative_information_score: 3606.6434, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9901, predictive_accuracy: 0.9901, prior_entropy: 0.7946, recall: 0.9901, relative_absolute_error: 0.1182, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.1286, root_relative_squared_error: 0.3012, scimark_benchmark: 929.566, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9928, kappa: 0.9802, kb_relative_information_score: 3943.1831, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9929, predictive_accuracy: 0.9928, prior_entropy: 0.7946, recall: 0.9928, relative_absolute_error: 0.0262, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0816, root_relative_squared_error: 0.1913, scimark_benchmark: 943.6956, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9938, kappa: 0.983, kb_relative_information_score: 3952.8423, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 0.7946, recall: 0.9938, relative_absolute_error: 0.0229, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.1791, scimark_benchmark: 902.4773, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9926, kappa: 0.9795, kb_relative_information_score: 3769.9939, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9926, predictive_accuracy: 0.9926, prior_entropy: 0.7946, recall: 0.9926, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.2005, scimark_benchmark: 932.3943, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9923, kappa: 0.9788, kb_relative_information_score: 3887.0708, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9924, predictive_accuracy: 0.9923, prior_entropy: 0.7946, recall: 0.9923, relative_absolute_error: 0.0455, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.08, root_relative_squared_error: 0.1875, scimark_benchmark: 911.0478, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6569, kb_relative_information_score: 1050.1039, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.5782, predictive_accuracy: 0.7604, prior_entropy: 0.7946, recall: 0.7604, relative_absolute_error: 0.6575, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.4895, root_relative_squared_error: 1.1468, scimark_benchmark: 933.8635, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9921, kappa: 0.9782, kb_relative_information_score: 3917.1454, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 0.7946, recall: 0.9921, relative_absolute_error: 0.0346, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0862, root_relative_squared_error: 0.2018, scimark_benchmark: 904.3001, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9923, kappa: 0.9789, kb_relative_information_score: 3590.2775, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9924, predictive_accuracy: 0.9923, prior_entropy: 0.7946, recall: 0.9923, relative_absolute_error: 0.148, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0936, root_relative_squared_error: 0.2192, scimark_benchmark: 943.2817, usercpu_time_millis: 1390, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9931, kappa: 0.9809, kb_relative_information_score: 3914.2964, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.0376, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.194, scimark_benchmark: 901.0726, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9933, kappa: 0.9817, kb_relative_information_score: 3959.6095, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 0.7946, recall: 0.9933, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.1845, scimark_benchmark: 904.3001, usercpu_time_millis: 2430, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 2360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9933, kappa: 0.9817, kb_relative_information_score: 3959.6502, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 0.7946, recall: 0.9933, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.1844, scimark_benchmark: 942.6953, usercpu_time_millis: 2130, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 2050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9936, kappa: 0.9824, kb_relative_information_score: 3955.3083, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9936, predictive_accuracy: 0.9936, prior_entropy: 0.7946, recall: 0.9936, relative_absolute_error: 0.0218, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0786, root_relative_squared_error: 0.1841, scimark_benchmark: 876.8277, usercpu_time_millis: 1970, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0926, kb_relative_information_score: -5470.6992, mean_absolute_error: 0.7604, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.0574, predictive_accuracy: 0.2396, prior_entropy: 0.7946, recall: 0.2396, relative_absolute_error: 2.0861, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.872, root_relative_squared_error: 2.0428, scimark_benchmark: 930.32, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9931, kappa: 0.981, kb_relative_information_score: 3950.3252, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.0235, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0758, root_relative_squared_error: 0.1775, scimark_benchmark: 938.9865, usercpu_time_millis: 1020, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9931, kappa: 0.9809, kb_relative_information_score: 3909.4376, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.0389, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0833, root_relative_squared_error: 0.195, scimark_benchmark: 935.8986, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8548, f_measure: 0.9256, kappa: 0.7868, kb_relative_information_score: 3173.228, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9354, predictive_accuracy: 0.9299, prior_entropy: 0.7946, recall: 0.9299, relative_absolute_error: 0.1923, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.2647, root_relative_squared_error: 0.6202, scimark_benchmark: 904.3001, usercpu_time_millis: 13410, usercpu_time_millis_testing: 1210, usercpu_time_millis_training: 12200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9906, kappa: 0.9741, kb_relative_information_score: 3933.4733, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9906, predictive_accuracy: 0.9906, prior_entropy: 0.7946, recall: 0.9906, relative_absolute_error: 0.0257, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0968, root_relative_squared_error: 0.2269, scimark_benchmark: 947.4269, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, build_cpu_time: 8.9057, build_memory: 551913247.2912, f_measure: 0.9894, kappa: 0.9708, kb_relative_information_score: 3862.6226, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9894, predictive_accuracy: 0.9894, prior_entropy: 0.7946, recall: 0.9894, relative_absolute_error: 0.0492, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.2325, scimark_benchmark: 940.2036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, build_cpu_time: 9.6535, build_memory: 1229073717.998, f_measure: 0.9894, kappa: 0.9708, kb_relative_information_score: 3862.6226, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9894, predictive_accuracy: 0.9894, prior_entropy: 0.7946, recall: 0.9894, relative_absolute_error: 0.0492, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.2325, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, build_cpu_time: 8.7709, build_memory: 1744989883.7216, f_measure: 0.9894, kappa: 0.9708, kb_relative_information_score: 3862.6226, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9894, predictive_accuracy: 0.9894, prior_entropy: 0.7946, recall: 0.9894, relative_absolute_error: 0.0492, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.2325, scimark_benchmark: 926.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, build_cpu_time: 6.2813, build_memory: 707920067.0346, f_measure: 0.9894, kappa: 0.9708, kb_relative_information_score: 3862.2424, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9894, predictive_accuracy: 0.9894, prior_entropy: 0.7946, recall: 0.9894, relative_absolute_error: 0.0494, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.2331, scimark_benchmark: 940.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, build_cpu_time: 0.1403, build_memory: 708648913.9961, f_measure: 0.9931, kappa: 0.981, kb_relative_information_score: 3952.3765, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.0229, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0772, root_relative_squared_error: 0.1808, scimark_benchmark: 939.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, build_cpu_time: 0.1752, build_memory: 394072125.8263, f_measure: 0.9931, kappa: 0.981, kb_relative_information_score: 3953.893, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.0226, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.077, root_relative_squared_error: 0.1804, scimark_benchmark: 925.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, build_cpu_time: 0.1611, build_memory: 591190170.7088, f_measure: 0.9931, kappa: 0.981, kb_relative_information_score: 3953.893, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.0226, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.077, root_relative_squared_error: 0.1804, scimark_benchmark: 935.1201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, build_cpu_time: 0.174, build_memory: 953531137.9862, f_measure: 0.9931, kappa: 0.981, kb_relative_information_score: 3953.893, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.0226, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.077, root_relative_squared_error: 0.1804, scimark_benchmark: 947.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, build_cpu_time: 0.2301, build_memory: 972149854.9102, f_measure: 0.9931, kappa: 0.981, kb_relative_information_score: 3953.893, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.0226, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.077, root_relative_squared_error: 0.1804, scimark_benchmark: 915.3856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, build_cpu_time: 1.4305, build_memory: 448740083.7256, f_measure: 0.9926, kappa: 0.9796, kb_relative_information_score: 3953.324, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9926, predictive_accuracy: 0.9926, prior_entropy: 0.7946, recall: 0.9926, relative_absolute_error: 0.0225, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0803, root_relative_squared_error: 0.1882, scimark_benchmark: 877.9084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, build_cpu_time: 0.7373, build_memory: 144029843.3662, f_measure: 0.9933, kappa: 0.9817, kb_relative_information_score: 3953.5437, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 0.7946, recall: 0.9933, relative_absolute_error: 0.0225, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0803, root_relative_squared_error: 0.188, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, build_cpu_time: 0.5027, build_memory: 1780096696.0079, f_measure: 0.9931, kappa: 0.981, kb_relative_information_score: 3951.831, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.0228, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0806, root_relative_squared_error: 0.1888, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, build_cpu_time: 0.2182, build_memory: 2159304749.613, f_measure: 0.9928, kappa: 0.9803, kb_relative_information_score: 3950.5778, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9928, predictive_accuracy: 0.9928, prior_entropy: 0.7946, recall: 0.9928, relative_absolute_error: 0.0231, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0809, root_relative_squared_error: 0.1896, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, build_cpu_time: 0.11, build_memory: 1537179301.3702, f_measure: 0.9931, kappa: 0.981, kb_relative_information_score: 3949.7361, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 0.7946, recall: 0.9931, relative_absolute_error: 0.0235, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0809, root_relative_squared_error: 0.1894, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, build_cpu_time: 4.0709, build_memory: 652121599.3366, f_measure: 0.9941, kappa: 0.9837, kb_relative_information_score: 3960.6698, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 0.7946, recall: 0.9941, relative_absolute_error: 0.0209, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0773, root_relative_squared_error: 0.1811, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, build_cpu_time: 7.4499, build_memory: 567789679.2636, f_measure: 0.9943, kappa: 0.9844, kb_relative_information_score: 3963.1305, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 0.7946, recall: 0.9943, relative_absolute_error: 0.0203, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0767, root_relative_squared_error: 0.1797, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, build_cpu_time: 13.2383, build_memory: 470718325.4788, f_measure: 0.9941, kappa: 0.9837, kb_relative_information_score: 3963.9955, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 0.7946, recall: 0.9941, relative_absolute_error: 0.0201, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0764, root_relative_squared_error: 0.179, scimark_benchmark: 920.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, build_cpu_time: 25.6027, build_memory: 1743651315.3426, f_measure: 0.9943, kappa: 0.9844, kb_relative_information_score: 3964.8015, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 0.7946, recall: 0.9943, relative_absolute_error: 0.0199, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0762, root_relative_squared_error: 0.1786, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, build_cpu_time: 45.8505, build_memory: 868204170.1303, f_measure: 0.9943, kappa: 0.9844, kb_relative_information_score: 3965.5618, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 0.7946, recall: 0.9943, relative_absolute_error: 0.0198, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0761, root_relative_squared_error: 0.1782, scimark_benchmark: 892.8005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, build_cpu_time: 0.8099, build_memory: 575970410.7858, f_measure: 0.9918, kappa: 0.9775, kb_relative_information_score: 3938.1961, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9918, predictive_accuracy: 0.9919, prior_entropy: 0.7946, recall: 0.9919, relative_absolute_error: 0.0261, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0798, root_relative_squared_error: 0.1869, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, build_cpu_time: 0.4641, build_memory: 922636140.7108, f_measure: 0.9916, kappa: 0.9769, kb_relative_information_score: 3937.3478, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9916, predictive_accuracy: 0.9916, prior_entropy: 0.7946, recall: 0.9916, relative_absolute_error: 0.0263, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0796, root_relative_squared_error: 0.1865, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, build_cpu_time: 0.2854, build_memory: 703312854.7917, f_measure: 0.9923, kappa: 0.9789, kb_relative_information_score: 3938.7115, mean_absolute_error: 0.0095, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 0.7946, recall: 0.9923, relative_absolute_error: 0.026, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.079, root_relative_squared_error: 0.1851, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, build_cpu_time: 0.1562, build_memory: 1111177492.2981, f_measure: 0.9923, kappa: 0.9789, kb_relative_information_score: 3935.8836, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 0.7946, recall: 0.9923, relative_absolute_error: 0.0266, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0786, root_relative_squared_error: 0.1841, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, build_cpu_time: 0.0608, build_memory: 814858005.4748, f_measure: 0.9916, kappa: 0.9768, kb_relative_information_score: 3934.6583, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9916, predictive_accuracy: 0.9916, prior_entropy: 0.7946, recall: 0.9916, relative_absolute_error: 0.0274, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0792, root_relative_squared_error: 0.1856, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, build_cpu_time: 0.2395, build_memory: 919444300.8727, f_measure: 0.9749, kappa: 0.9315, kb_relative_information_score: 3648.3472, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9751, predictive_accuracy: 0.9748, prior_entropy: 0.7946, recall: 0.9748, relative_absolute_error: 0.0994, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.3423, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, build_cpu_time: 0.2446, build_memory: 937293672.537, f_measure: 0.9749, kappa: 0.9315, kb_relative_information_score: 3648.3472, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9751, predictive_accuracy: 0.9748, prior_entropy: 0.7946, recall: 0.9748, relative_absolute_error: 0.0994, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.3423, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, build_cpu_time: 0.2455, build_memory: 1325530740.6752, f_measure: 0.9749, kappa: 0.9315, kb_relative_information_score: 3648.3472, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9751, predictive_accuracy: 0.9748, prior_entropy: 0.7946, recall: 0.9748, relative_absolute_error: 0.0994, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.3423, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, build_cpu_time: 0.2579, build_memory: 655290691.9961, f_measure: 0.9749, kappa: 0.9315, kb_relative_information_score: 3648.3472, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9751, predictive_accuracy: 0.9748, prior_entropy: 0.7946, recall: 0.9748, relative_absolute_error: 0.0994, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.3423, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, build_cpu_time: 0.2497, build_memory: 2861699313.6229, f_measure: 0.9749, kappa: 0.9315, kb_relative_information_score: 3648.3472, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9751, predictive_accuracy: 0.9748, prior_entropy: 0.7946, recall: 0.9748, relative_absolute_error: 0.0994, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.3423, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, build_cpu_time: 355.5241, build_memory: 805362617.2241, f_measure: 0.9926, kappa: 0.9796, kb_relative_information_score: 3929.6662, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9926, predictive_accuracy: 0.9926, prior_entropy: 0.7946, recall: 0.9926, relative_absolute_error: 0.0283, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0817, root_relative_squared_error: 0.1913, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, build_cpu_time: 730.0438, build_memory: 773621345.9072, f_measure: 0.9928, kappa: 0.9803, kb_relative_information_score: 3947.7606, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9928, predictive_accuracy: 0.9928, prior_entropy: 0.7946, recall: 0.9928, relative_absolute_error: 0.0243, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0752, root_relative_squared_error: 0.1761, scimark_benchmark: 940.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, build_cpu_time: 1354.7477, build_memory: 817122251.9072, f_measure: 0.9933, kappa: 0.9817, kb_relative_information_score: 3956.6417, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 0.7946, recall: 0.9933, relative_absolute_error: 0.0219, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.074, root_relative_squared_error: 0.1735, scimark_benchmark: 943.6487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, build_cpu_time: 5870.1617, build_memory: 496634046.92, f_measure: 0.9936, kappa: 0.9824, kb_relative_information_score: 3958.6561, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9936, predictive_accuracy: 0.9936, prior_entropy: 0.7946, recall: 0.9936, relative_absolute_error: 0.0214, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0768, root_relative_squared_error: 0.1798, scimark_benchmark: 919.0358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, build_cpu_time: 59.4637, build_memory: 1145261419.0977, f_measure: 0.9938, kappa: 0.983, kb_relative_information_score: 3960.8661, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 0.7946, recall: 0.9938, relative_absolute_error: 0.0209, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0778, root_relative_squared_error: 0.1824, scimark_benchmark: 931.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, build_cpu_time: 60.2777, build_memory: 932779116.383, f_measure: 0.9938, kappa: 0.983, kb_relative_information_score: 3960.8661, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 0.7946, recall: 0.9938, relative_absolute_error: 0.0209, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0778, root_relative_squared_error: 0.1824, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, build_cpu_time: 44.7427, build_memory: 140466977.0069, f_measure: 0.9936, kappa: 0.9824, kb_relative_information_score: 3960.822, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9936, predictive_accuracy: 0.9936, prior_entropy: 0.7946, recall: 0.9936, relative_absolute_error: 0.0209, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.078, root_relative_squared_error: 0.1827, scimark_benchmark: 889.6909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, build_cpu_time: 22.0761, build_memory: 842958452.154, f_measure: 0.9933, kappa: 0.9817, kb_relative_information_score: 3960.344, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 0.7946, recall: 0.9933, relative_absolute_error: 0.021, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0781, root_relative_squared_error: 0.183, scimark_benchmark: 942.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, build_cpu_time: 2.7461, build_memory: 673194062.0079, f_measure: 0.9933, kappa: 0.9816, kb_relative_information_score: 3956.1314, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 0.7946, recall: 0.9933, relative_absolute_error: 0.0225, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0747, root_relative_squared_error: 0.175, scimark_benchmark: 924.2473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, build_cpu_time: 5.3115, build_memory: 1734100024.8529, f_measure: 0.9938, kappa: 0.983, kb_relative_information_score: 3959.1874, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 0.7946, recall: 0.9938, relative_absolute_error: 0.0212, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0744, root_relative_squared_error: 0.1743, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, build_cpu_time: 11.2244, build_memory: 695291574.0908, f_measure: 0.9936, kappa: 0.9823, kb_relative_information_score: 3961.7967, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9936, predictive_accuracy: 0.9936, prior_entropy: 0.7946, recall: 0.9936, relative_absolute_error: 0.0207, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0749, root_relative_squared_error: 0.1754, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, build_cpu_time: 18.1645, build_memory: 545075649.4018, f_measure: 0.9938, kappa: 0.983, kb_relative_information_score: 3962.6681, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 0.7946, recall: 0.9938, relative_absolute_error: 0.0204, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0746, root_relative_squared_error: 0.1748, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, build_cpu_time: 21.7355, build_memory: 930406236.7858, f_measure: 0.9938, kappa: 0.983, kb_relative_information_score: 3962.8087, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 0.7946, recall: 0.9938, relative_absolute_error: 0.0204, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.075, root_relative_squared_error: 0.1756, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, build_cpu_time: 0.5662, build_memory: 1308624028.0908, f_measure: 0.9946, kappa: 0.9851, kb_relative_information_score: 3967.8353, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9946, predictive_accuracy: 0.9946, prior_entropy: 0.7946, recall: 0.9946, relative_absolute_error: 0.0198, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0716, root_relative_squared_error: 0.1678, scimark_benchmark: 933.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, build_cpu_time: 0.6371, build_memory: 1000132468.1481, f_measure: 0.9946, kappa: 0.9851, kb_relative_information_score: 3967.8353, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9946, predictive_accuracy: 0.9946, prior_entropy: 0.7946, recall: 0.9946, relative_absolute_error: 0.0198, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0716, root_relative_squared_error: 0.1678, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, build_cpu_time: 0.7222, build_memory: 1657587036.4008, f_measure: 0.9946, kappa: 0.9851, kb_relative_information_score: 3967.7522, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9946, predictive_accuracy: 0.9946, prior_entropy: 0.7946, recall: 0.9946, relative_absolute_error: 0.0198, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0716, root_relative_squared_error: 0.1678, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, build_cpu_time: 0.5268, build_memory: 398783054.5094, f_measure: 0.9946, kappa: 0.9851, kb_relative_information_score: 3967.9095, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9946, predictive_accuracy: 0.9946, prior_entropy: 0.7946, recall: 0.9946, relative_absolute_error: 0.0198, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0716, root_relative_squared_error: 0.1677, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, build_cpu_time: 0.4265, build_memory: 748627237.1491, f_measure: 0.9943, kappa: 0.9844, kb_relative_information_score: 3967.706, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 0.7946, recall: 0.9943, relative_absolute_error: 0.0198, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0716, root_relative_squared_error: 0.1678, scimark_benchmark: 945.0554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, build_cpu_time: 612.0131, build_memory: 645794796.4837, f_measure: 0.9881, kappa: 0.9674, kb_relative_information_score: 3896.7847, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9881, predictive_accuracy: 0.9882, prior_entropy: 0.7946, recall: 0.9882, relative_absolute_error: 0.0349, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.1062, root_relative_squared_error: 0.2489, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, build_cpu_time: 0.3482, build_memory: 407902149.3425, f_measure: 0.9938, kappa: 0.983, kb_relative_information_score: 3954.9791, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.3645, number_of_instances: 4052, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 0.7946, recall: 0.9938, relative_absolute_error: 0.0223, root_mean_prior_squared_error: 0.4269, root_mean_squared_error: 0.0772, root_relative_squared_error: 0.1809, scimark_benchmark: 902.712,

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