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 mfeat-zernike

Supervised Classification on mfeat-zernike

Task 22 Supervised Classification mfeat-zernike 20290 runs submitted
0 likes downloaded by 2 people , 2 total downloads 0 issues
Visibility: Public
  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_70 study_98 study_99 under100k under1m
Issue #Downvotes for this reason By


Metric:

20290 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail run
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7309, f_measure: 0.2614, kappa: 0.1922, kb_relative_information_score: 582.4991, mean_absolute_error: 0.1503, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.2599, predictive_accuracy: 0.273, prior_entropy: 3.3219, recall: 0.273, relative_absolute_error: 0.8351, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3004, root_relative_squared_error: 1.0013, scimark_benchmark: 933.8239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8827, f_measure: 0.7912, kappa: 0.7661, kb_relative_information_score: 1556.424, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7938, predictive_accuracy: 0.7895, prior_entropy: 3.3219, recall: 0.7895, relative_absolute_error: 0.2381, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.6821, scimark_benchmark: 939.9994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.7622, kappa: 0.7383, kb_relative_information_score: 1419.981, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7609, predictive_accuracy: 0.7645, prior_entropy: 3.3219, recall: 0.7645, relative_absolute_error: 0.4336, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.6249, scimark_benchmark: 946.8983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.605, f_measure: 0.2746, kappa: 0.21, kb_relative_information_score: 512.9328, mean_absolute_error: 0.1422, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.2731, predictive_accuracy: 0.289, prior_entropy: 3.3219, recall: 0.289, relative_absolute_error: 0.79, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3771, root_relative_squared_error: 1.257, scimark_benchmark: 948.0646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.7322, kappa: 0.7056, kb_relative_information_score: 1462.3266, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7323, predictive_accuracy: 0.735, prior_entropy: 3.3219, recall: 0.735, relative_absolute_error: 0.4083, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.6023, scimark_benchmark: 949.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.8218, kappa: 0.8061, kb_relative_information_score: 574.1551, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8194, predictive_accuracy: 0.8255, prior_entropy: 3.3219, recall: 0.8255, relative_absolute_error: 0.8953, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.9125, scimark_benchmark: 942.6593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6681, f_measure: 0.0653, kappa: 0.1067, kb_relative_information_score: 374.2919, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0392, predictive_accuracy: 0.196, prior_entropy: 3.3219, recall: 0.196, relative_absolute_error: 0.9396, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.9698, scimark_benchmark: 944.5059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6681, f_measure: 0.0653, kappa: 0.1067, kb_relative_information_score: 374.2919, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0392, predictive_accuracy: 0.196, prior_entropy: 3.3219, recall: 0.196, relative_absolute_error: 0.9396, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.9698, scimark_benchmark: 947.8643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8418, f_measure: 0.4023, kappa: 0.3461, kb_relative_information_score: 353.4106, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.47, predictive_accuracy: 0.4115, prior_entropy: 3.3219, recall: 0.4115, relative_absolute_error: 0.9424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2863, root_relative_squared_error: 0.9543, scimark_benchmark: 945.2563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.6975, kappa: 0.6672, kb_relative_information_score: 1443.8272, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6967, predictive_accuracy: 0.7005, prior_entropy: 3.3219, recall: 0.7005, relative_absolute_error: 0.3616, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.689, scimark_benchmark: 946.2382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.8268, kappa: 0.8106, kb_relative_information_score: 573.5188, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8247, predictive_accuracy: 0.8295, prior_entropy: 3.3219, recall: 0.8295, relative_absolute_error: 0.8954, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2742, root_relative_squared_error: 0.914, scimark_benchmark: 947.7185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.7047, kappa: 0.675, kb_relative_information_score: 1458.1079, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7042, predictive_accuracy: 0.7075, prior_entropy: 3.3219, recall: 0.7075, relative_absolute_error: 0.3306, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.723, scimark_benchmark: 910.9111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.734, kappa: 0.7072, kb_relative_information_score: 1460.3375, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7342, predictive_accuracy: 0.7365, prior_entropy: 3.3219, recall: 0.7365, relative_absolute_error: 0.4096, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.604, scimark_benchmark: 945.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8861, f_measure: 0.7102, kappa: 0.6794, kb_relative_information_score: 1466.1528, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.71, predictive_accuracy: 0.7115, prior_entropy: 3.3219, recall: 0.7115, relative_absolute_error: 0.3319, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.213, root_relative_squared_error: 0.7099, scimark_benchmark: 946.1095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 937.9061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.8365, kappa: 0.8211, kb_relative_information_score: 577.252, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8344, predictive_accuracy: 0.839, prior_entropy: 3.3219, recall: 0.839, relative_absolute_error: 0.8946, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.9126, scimark_benchmark: 947.9097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.7191, kappa: 0.6922, kb_relative_information_score: 1444.3816, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.717, predictive_accuracy: 0.723, prior_entropy: 3.3219, recall: 0.723, relative_absolute_error: 0.4117, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1866, root_relative_squared_error: 0.622, scimark_benchmark: 945.3655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6117, f_measure: 0.2848, kappa: 0.2233, kb_relative_information_score: 538.031, mean_absolute_error: 0.1398, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.2882, predictive_accuracy: 0.301, prior_entropy: 3.3219, recall: 0.301, relative_absolute_error: 0.7767, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3739, root_relative_squared_error: 1.2463, scimark_benchmark: 947.5441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.8071, kappa: 0.7861, kb_relative_information_score: 574.2245, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8069, predictive_accuracy: 0.8075, prior_entropy: 3.3219, recall: 0.8075, relative_absolute_error: 0.8954, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2742, root_relative_squared_error: 0.914, scimark_benchmark: 949.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.8148, kappa: 0.7983, kb_relative_information_score: 570.97, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8124, predictive_accuracy: 0.8185, prior_entropy: 3.3219, recall: 0.8185, relative_absolute_error: 0.8959, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2744, root_relative_squared_error: 0.9146, scimark_benchmark: 945.4503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7896, f_measure: 0.3466, kappa: 0.2533, kb_relative_information_score: 303.4185, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5418, predictive_accuracy: 0.328, prior_entropy: 3.3219, recall: 0.328, relative_absolute_error: 0.9561, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2912, root_relative_squared_error: 0.9706, scimark_benchmark: 946.4653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.6662, kappa: 0.64, kb_relative_information_score: 1357.6803, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6635, predictive_accuracy: 0.676, prior_entropy: 3.3219, recall: 0.676, relative_absolute_error: 0.4316, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.6959, scimark_benchmark: 948.0311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.7286, kappa: 0.7011, kb_relative_information_score: 1458.2717, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7288, predictive_accuracy: 0.731, prior_entropy: 3.3219, recall: 0.731, relative_absolute_error: 0.4099, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.6063, scimark_benchmark: 946.9941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5901, f_measure: 0.1999, kappa: 0.1144, kb_relative_information_score: 210.2996, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5589, predictive_accuracy: 0.203, prior_entropy: 3.3219, recall: 0.203, relative_absolute_error: 0.988, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3031, root_relative_squared_error: 1.0104, scimark_benchmark: 947.8498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.8223, kappa: 0.8056, kb_relative_information_score: 1698.3845, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8198, predictive_accuracy: 0.825, prior_entropy: 3.3219, recall: 0.825, relative_absolute_error: 0.2378, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1438, root_relative_squared_error: 0.4792, scimark_benchmark: 944.6504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.7932, kappa: 0.785, kb_relative_information_score: 1660.8249, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7911, predictive_accuracy: 0.8065, prior_entropy: 3.3219, recall: 0.8065, relative_absolute_error: 0.2223, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.5711, scimark_benchmark: 910.7117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.806, kappa: 0.7872, kb_relative_information_score: 1649.9314, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8065, predictive_accuracy: 0.8085, prior_entropy: 3.3219, recall: 0.8085, relative_absolute_error: 0.2265, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.171, root_relative_squared_error: 0.57, scimark_benchmark: 949.1963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.7676, kappa: 0.745, kb_relative_information_score: 1534.7808, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7655, predictive_accuracy: 0.7705, prior_entropy: 3.3219, recall: 0.7705, relative_absolute_error: 0.3619, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.5793, scimark_benchmark: 945.9437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, f_measure: 0.7173, kappa: 0.6867, kb_relative_information_score: 1484.7509, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7172, predictive_accuracy: 0.718, prior_entropy: 3.3219, recall: 0.718, relative_absolute_error: 0.3206, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.7005, scimark_benchmark: 947.3326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.6796, kappa: 0.6561, kb_relative_information_score: 1361.4214, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6827, predictive_accuracy: 0.6905, prior_entropy: 3.3219, recall: 0.6905, relative_absolute_error: 0.4288, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.696, scimark_benchmark: 947.2092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.8223, kappa: 0.8056, kb_relative_information_score: 1698.3845, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8198, predictive_accuracy: 0.825, prior_entropy: 3.3219, recall: 0.825, relative_absolute_error: 0.2378, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1438, root_relative_squared_error: 0.4792, scimark_benchmark: 948.4533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.929, f_measure: 0.6849, kappa: 0.6233, kb_relative_information_score: 500.6317, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.762, predictive_accuracy: 0.661, prior_entropy: 3.3219, recall: 0.661, relative_absolute_error: 0.9133, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2801, root_relative_squared_error: 0.9338, scimark_benchmark: 947.3762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.4293, kappa: 0.3489, kb_relative_information_score: 330.4252, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.4819, predictive_accuracy: 0.414, prior_entropy: 3.3219, recall: 0.414, relative_absolute_error: 0.9472, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2875, root_relative_squared_error: 0.9583, scimark_benchmark: 945.7192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.7062, kappa: 0.675, kb_relative_information_score: 1459.4981, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7059, predictive_accuracy: 0.7075, prior_entropy: 3.3219, recall: 0.7075, relative_absolute_error: 0.3328, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.7183, scimark_benchmark: 945.2199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.7507, kappa: 0.7256, kb_relative_information_score: 1397.1528, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7492, predictive_accuracy: 0.753, prior_entropy: 3.3219, recall: 0.753, relative_absolute_error: 0.4203, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.6907, scimark_benchmark: 944.5108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.7563, kappa: 0.7311, kb_relative_information_score: 555.4057, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7596, predictive_accuracy: 0.758, prior_entropy: 3.3219, recall: 0.758, relative_absolute_error: 0.8993, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.9186, scimark_benchmark: 936.2971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.7373, kappa: 0.7111, kb_relative_information_score: 1463.9753, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7369, predictive_accuracy: 0.74, prior_entropy: 3.3219, recall: 0.74, relative_absolute_error: 0.409, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.6004, scimark_benchmark: 945.7099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.7056, kappa: 0.6761, kb_relative_information_score: 1457.7011, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.705, predictive_accuracy: 0.7085, prior_entropy: 3.3219, recall: 0.7085, relative_absolute_error: 0.3318, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.722, scimark_benchmark: 941.4953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6681, f_measure: 0.0653, kappa: 0.1067, kb_relative_information_score: 374.2919, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0392, predictive_accuracy: 0.196, prior_entropy: 3.3219, recall: 0.196, relative_absolute_error: 0.9396, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.9698, scimark_benchmark: 948.1842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.6665, kappa: 0.6411, kb_relative_information_score: 1336.3847, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6667, predictive_accuracy: 0.677, prior_entropy: 3.3219, recall: 0.677, relative_absolute_error: 0.4442, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.701, scimark_benchmark: 945.5567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.7711, kappa: 0.7478, kb_relative_information_score: 556.6705, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7737, predictive_accuracy: 0.773, prior_entropy: 3.3219, recall: 0.773, relative_absolute_error: 0.8997, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2757, root_relative_squared_error: 0.919, scimark_benchmark: 947.0226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8877, f_measure: 0.7206, kappa: 0.6889, kb_relative_information_score: 1494.2838, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.722, predictive_accuracy: 0.72, prior_entropy: 3.3219, recall: 0.72, relative_absolute_error: 0.3119, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.6997, scimark_benchmark: 946.8911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.7115, kappa: 0.6828, kb_relative_information_score: 1471.8321, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7111, predictive_accuracy: 0.7145, prior_entropy: 3.3219, recall: 0.7145, relative_absolute_error: 0.3187, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.7019, scimark_benchmark: 945.3375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.6884, kappa: 0.6622, kb_relative_information_score: 1398.6726, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6856, predictive_accuracy: 0.696, prior_entropy: 3.3219, recall: 0.696, relative_absolute_error: 0.4011, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.6904, scimark_benchmark: 946.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.8121, kappa: 0.7944, kb_relative_information_score: 1688.777, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.81, predictive_accuracy: 0.815, prior_entropy: 3.3219, recall: 0.815, relative_absolute_error: 0.2513, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1469, root_relative_squared_error: 0.4897, scimark_benchmark: 948.1752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7906, f_measure: 0.6295, kappa: 0.5811, kb_relative_information_score: 1211.4989, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.637, predictive_accuracy: 0.623, prior_entropy: 3.3219, recall: 0.623, relative_absolute_error: 0.4189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2746, root_relative_squared_error: 0.9153, scimark_benchmark: 949.2031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8813, f_measure: 0.7055, kappa: 0.6761, kb_relative_information_score: 1457.6923, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7048, predictive_accuracy: 0.7085, prior_entropy: 3.3219, recall: 0.7085, relative_absolute_error: 0.3318, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.7221, scimark_benchmark: 945.1212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, f_measure: 0.5276, kappa: 0.4844, kb_relative_information_score: 742.9916, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5313, predictive_accuracy: 0.536, prior_entropy: 3.3219, recall: 0.536, relative_absolute_error: 0.7926, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.254, root_relative_squared_error: 0.8466, scimark_benchmark: 948.5574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5138, f_measure: 0.0721, kappa: 0.0167, kb_relative_information_score: 164.2623, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.4527, predictive_accuracy: 0.115, prior_entropy: 3.3219, recall: 0.115, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3063, root_relative_squared_error: 1.0209, scimark_benchmark: 948.4836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.6844, kappa: 0.625, kb_relative_information_score: 508.638, mean_absolute_error: 0.1641, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7562, predictive_accuracy: 0.6625, prior_entropy: 3.3219, recall: 0.6625, relative_absolute_error: 0.9115, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2795, root_relative_squared_error: 0.9318, scimark_benchmark: 946.6189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.7424, kappa: 0.7161, kb_relative_information_score: 1394.4845, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7416, predictive_accuracy: 0.7445, prior_entropy: 3.3219, recall: 0.7445, relative_absolute_error: 0.4347, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1978, root_relative_squared_error: 0.6595, scimark_benchmark: 932.7245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5817, f_measure: 0.2456, kappa: 0.1633, kb_relative_information_score: 425.0892, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.2448, predictive_accuracy: 0.247, prior_entropy: 3.3219, recall: 0.247, relative_absolute_error: 0.8367, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3881, root_relative_squared_error: 1.2936, scimark_benchmark: 947.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.8082, kappa: 0.7894, kb_relative_information_score: 1703.7789, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8068, predictive_accuracy: 0.8105, prior_entropy: 3.3219, recall: 0.8105, relative_absolute_error: 0.2328, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1474, root_relative_squared_error: 0.4912, scimark_benchmark: 944.6997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.8218, kappa: 0.805, kb_relative_information_score: 1698.8451, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8194, predictive_accuracy: 0.8245, prior_entropy: 3.3219, recall: 0.8245, relative_absolute_error: 0.2389, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1429, root_relative_squared_error: 0.4764, scimark_benchmark: 944.8726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.8218, kappa: 0.805, kb_relative_information_score: 1698.8451, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8194, predictive_accuracy: 0.8245, prior_entropy: 3.3219, recall: 0.8245, relative_absolute_error: 0.2389, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1429, root_relative_squared_error: 0.4764, scimark_benchmark: 948.9447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.703, kappa: 0.6767, kb_relative_information_score: 1443.4069, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7034, predictive_accuracy: 0.709, prior_entropy: 3.3219, recall: 0.709, relative_absolute_error: 0.3644, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.6817, scimark_benchmark: 924.3338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.8063, kappa: 0.7839, kb_relative_information_score: 573.4101, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8072, predictive_accuracy: 0.8055, prior_entropy: 3.3219, recall: 0.8055, relative_absolute_error: 0.8955, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2739, root_relative_squared_error: 0.9131, scimark_benchmark: 949.2015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.8341, kappa: 0.8178, kb_relative_information_score: 576.6486, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8327, predictive_accuracy: 0.836, prior_entropy: 3.3219, recall: 0.836, relative_absolute_error: 0.8947, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2739, root_relative_squared_error: 0.9129, scimark_benchmark: 901.8906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 922.0174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9216, f_measure: 0.6682, kappa: 0.6389, kb_relative_information_score: 1353.9283, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6662, predictive_accuracy: 0.675, prior_entropy: 3.3219, recall: 0.675, relative_absolute_error: 0.4334, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.6974, scimark_benchmark: 948.6426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.8223, kappa: 0.8017, kb_relative_information_score: 574.7934, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8232, predictive_accuracy: 0.8215, prior_entropy: 3.3219, recall: 0.8215, relative_absolute_error: 0.8952, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.9127, scimark_benchmark: 947.4691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.812, kappa: 0.7956, kb_relative_information_score: 1692.8598, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8107, predictive_accuracy: 0.816, prior_entropy: 3.3219, recall: 0.816, relative_absolute_error: 0.2464, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1469, root_relative_squared_error: 0.4896, scimark_benchmark: 896.1729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.7342, kappa: 0.7078, kb_relative_information_score: 1463.6128, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7342, predictive_accuracy: 0.737, prior_entropy: 3.3219, recall: 0.737, relative_absolute_error: 0.4089, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.6007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.733, kappa: 0.7044, kb_relative_information_score: 1515.8988, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.733, predictive_accuracy: 0.734, prior_entropy: 3.3219, recall: 0.734, relative_absolute_error: 0.2966, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.6758, scimark_benchmark: 911.8843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.7274, kappa: 0.7, kb_relative_information_score: 1456.9929, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7275, predictive_accuracy: 0.73, prior_entropy: 3.3219, recall: 0.73, relative_absolute_error: 0.4109, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.6076, scimark_benchmark: 948.0579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.8352, kappa: 0.82, kb_relative_information_score: 576.2407, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8328, predictive_accuracy: 0.838, prior_entropy: 3.3219, recall: 0.838, relative_absolute_error: 0.8948, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.274, root_relative_squared_error: 0.9134, scimark_benchmark: 950.3755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5144, f_measure: 0.0721, kappa: 0.0167, kb_relative_information_score: 164.2536, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.4527, predictive_accuracy: 0.115, prior_entropy: 3.3219, recall: 0.115, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3063, root_relative_squared_error: 1.021, scimark_benchmark: 947.0882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.6968, kappa: 0.6689, kb_relative_information_score: 1449.0429, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6966, predictive_accuracy: 0.702, prior_entropy: 3.3219, recall: 0.702, relative_absolute_error: 0.3563, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.6888, scimark_benchmark: 946.4953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8043, kappa: 0.7856, kb_relative_information_score: 569.2006, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8026, predictive_accuracy: 0.807, prior_entropy: 3.3219, recall: 0.807, relative_absolute_error: 0.8963, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2745, root_relative_squared_error: 0.9151, scimark_benchmark: 947.0435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, f_measure: 0.7292, kappa: 0.7022, kb_relative_information_score: 1453.1394, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7287, predictive_accuracy: 0.732, prior_entropy: 3.3219, recall: 0.732, relative_absolute_error: 0.4112, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.6123, scimark_benchmark: 910.3294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6011, f_measure: 0.2731, kappa: 0.2022, kb_relative_information_score: 498.2922, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.2755, predictive_accuracy: 0.282, prior_entropy: 3.3219, recall: 0.282, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3789, root_relative_squared_error: 1.2632, scimark_benchmark: 909.3484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.8026, kappa: 0.7822, kb_relative_information_score: 569.5997, mean_absolute_error: 0.1614, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8018, predictive_accuracy: 0.804, prior_entropy: 3.3219, recall: 0.804, relative_absolute_error: 0.8966, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2747, root_relative_squared_error: 0.9157, scimark_benchmark: 912.8103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6847, f_measure: 0.3128, kappa: 0.2128, kb_relative_information_score: 283.2449, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6546, predictive_accuracy: 0.2915, prior_entropy: 3.3219, recall: 0.2915, relative_absolute_error: 0.9658, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2963, root_relative_squared_error: 0.9878, scimark_benchmark: 946.8452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.8124, kappa: 0.7922, kb_relative_information_score: 574.62, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.812, predictive_accuracy: 0.813, prior_entropy: 3.3219, recall: 0.813, relative_absolute_error: 0.8953, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2742, root_relative_squared_error: 0.9139, scimark_benchmark: 941.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.6822, kappa: 0.6556, kb_relative_information_score: 1375.1516, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6823, predictive_accuracy: 0.69, prior_entropy: 3.3219, recall: 0.69, relative_absolute_error: 0.4217, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.6912, scimark_benchmark: 910.9472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.7855, kappa: 0.7639, kb_relative_information_score: 564.4387, mean_absolute_error: 0.1616, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7852, predictive_accuracy: 0.7875, prior_entropy: 3.3219, recall: 0.7875, relative_absolute_error: 0.8979, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2751, root_relative_squared_error: 0.917, scimark_benchmark: 942.7018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, f_measure: 0.6629, kappa: 0.6339, kb_relative_information_score: 1357.628, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6637, predictive_accuracy: 0.6705, prior_entropy: 3.3219, recall: 0.6705, relative_absolute_error: 0.4369, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.7423, scimark_benchmark: 905.8064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6001, f_measure: 0.1511, kappa: 0.075, kb_relative_information_score: 137.1408, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.4373, predictive_accuracy: 0.1675, prior_entropy: 3.3219, recall: 0.1675, relative_absolute_error: 0.9903, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.9976, scimark_benchmark: 944.0647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.809, kappa: 0.7961, kb_relative_information_score: 1706.4089, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8076, predictive_accuracy: 0.8165, prior_entropy: 3.3219, recall: 0.8165, relative_absolute_error: 0.2274, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.4944, scimark_benchmark: 947.7404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.8295, kappa: 0.8111, kb_relative_information_score: 576.0463, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8295, predictive_accuracy: 0.83, prior_entropy: 3.3219, recall: 0.83, relative_absolute_error: 0.8949, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.9125, scimark_benchmark: 947.6432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.7344, kappa: 0.7078, kb_relative_information_score: 1462.7832, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7342, predictive_accuracy: 0.737, prior_entropy: 3.3219, recall: 0.737, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.6017, scimark_benchmark: 947.5189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.7914, kappa: 0.7722, kb_relative_information_score: 1689.9458, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7895, predictive_accuracy: 0.795, prior_entropy: 3.3219, recall: 0.795, relative_absolute_error: 0.2215, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.5359, scimark_benchmark: 944.7156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9376, f_measure: 0.7318, kappa: 0.7039, kb_relative_information_score: 545.2601, mean_absolute_error: 0.1623, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7406, predictive_accuracy: 0.7335, prior_entropy: 3.3219, recall: 0.7335, relative_absolute_error: 0.9015, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2763, root_relative_squared_error: 0.9209, scimark_benchmark: 946.2229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.7059, kappa: 0.6761, kb_relative_information_score: 1457.565, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7056, predictive_accuracy: 0.7085, prior_entropy: 3.3219, recall: 0.7085, relative_absolute_error: 0.3327, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.7207, scimark_benchmark: 945.8297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.8296, kappa: 0.8144, kb_relative_information_score: 575.6142, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8276, predictive_accuracy: 0.833, prior_entropy: 3.3219, recall: 0.833, relative_absolute_error: 0.895, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2741, root_relative_squared_error: 0.9136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8827, f_measure: 0.7912, kappa: 0.7661, kb_relative_information_score: 1556.424, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7938, predictive_accuracy: 0.7895, prior_entropy: 3.3219, recall: 0.7895, relative_absolute_error: 0.2381, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.6821, scimark_benchmark: 943.1183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.6844, kappa: 0.6228, kb_relative_information_score: 500.6789, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7617, predictive_accuracy: 0.6605, prior_entropy: 3.3219, recall: 0.6605, relative_absolute_error: 0.9133, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2801, root_relative_squared_error: 0.9337, scimark_benchmark: 950.0325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.8289, kappa: 0.8128, kb_relative_information_score: 575.8574, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8266, predictive_accuracy: 0.8315, prior_entropy: 3.3219, recall: 0.8315, relative_absolute_error: 0.8949, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2741, root_relative_squared_error: 0.9135, scimark_benchmark: 947.8579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.8053, kappa: 0.7828, kb_relative_information_score: 572.6414, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8061, predictive_accuracy: 0.8045, prior_entropy: 3.3219, recall: 0.8045, relative_absolute_error: 0.8957, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2739, root_relative_squared_error: 0.9131, scimark_benchmark: 948.7231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.7415, kappa: 0.7206, kb_relative_information_score: 1410.4733, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7394, predictive_accuracy: 0.7485, prior_entropy: 3.3219, recall: 0.7485, relative_absolute_error: 0.4613, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.609, scimark_benchmark: 945.9201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.4673, kappa: 0.3789, kb_relative_information_score: 395.9065, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6289, predictive_accuracy: 0.441, prior_entropy: 3.3219, recall: 0.441, relative_absolute_error: 0.9383, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.288, root_relative_squared_error: 0.9601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.8005, kappa: 0.7828, kb_relative_information_score: 566.8153, mean_absolute_error: 0.1614, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7996, predictive_accuracy: 0.8045, prior_entropy: 3.3219, recall: 0.8045, relative_absolute_error: 0.8968, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2747, root_relative_squared_error: 0.9156, scimark_benchmark: 944.3622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.78, kappa: 0.7544, kb_relative_information_score: 1615.7236, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7812, predictive_accuracy: 0.779, prior_entropy: 3.3219, recall: 0.779, relative_absolute_error: 0.2625, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.5669, scimark_benchmark: 948.2805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.6783, kappa: 0.6533, kb_relative_information_score: 1362.9983, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6812, predictive_accuracy: 0.688, prior_entropy: 3.3219, recall: 0.688, relative_absolute_error: 0.4275, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.209, root_relative_squared_error: 0.6967, scimark_benchmark: 907.5304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.7526, kappa: 0.72, kb_relative_information_score: 1494.7929, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7591, predictive_accuracy: 0.748, prior_entropy: 3.3219, recall: 0.748, relative_absolute_error: 0.2814, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.7197, scimark_benchmark: 947.2451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.6714, kappa: 0.655, kb_relative_information_score: 1348.5418, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6774, predictive_accuracy: 0.6895, prior_entropy: 3.3219, recall: 0.6895, relative_absolute_error: 0.435, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.6998, scimark_benchmark: 936.2906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8813, f_measure: 0.7055, kappa: 0.6761, kb_relative_information_score: 1457.6923, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7048, predictive_accuracy: 0.7085, prior_entropy: 3.3219, recall: 0.7085, relative_absolute_error: 0.3318, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.7221, scimark_benchmark: 939.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.8344, kappa: 0.8167, kb_relative_information_score: 576.239, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8341, predictive_accuracy: 0.835, prior_entropy: 3.3219, recall: 0.835, relative_absolute_error: 0.8948, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2739, root_relative_squared_error: 0.9131, scimark_benchmark: 945.8211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, f_measure: 0.8182, kappa: 0.7994, kb_relative_information_score: 573.6817, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8175, predictive_accuracy: 0.8195, prior_entropy: 3.3219, recall: 0.8195, relative_absolute_error: 0.8955, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.9144, scimark_benchmark: 946.0507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.7047, kappa: 0.675, kb_relative_information_score: 1458.1079, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7042, predictive_accuracy: 0.7075, prior_entropy: 3.3219, recall: 0.7075, relative_absolute_error: 0.3306, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.723, scimark_benchmark: 947.8597,

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

A PHP Error was encountered

Severity: Core Warning

Message: Module 'mysqli' already loaded

Filename: Unknown

Line Number: 0

Backtrace: