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 fri_c3_250_50

Supervised Classification on fri_c3_250_50

Task 3737 Supervised Classification fri_c3_250_50 547 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
Issue #Downvotes for this reason By


Metric:

547 Runs

Fetching data
Fetching data
Search runs in more detail run
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4788, f_measure: 0.4881, kappa: -0.0479, kb_relative_information_score: -4.655, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.4852, predictive_accuracy: 0.496, prior_entropy: 0.9868, recall: 0.496, relative_absolute_error: 1.0079, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5819, root_relative_squared_error: 1.1746, scimark_benchmark: 942.9518, usercpu_time_millis: 80, usercpu_time_millis_testing: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5269, f_measure: 0.4331, kappa: 0.0487, kb_relative_information_score: -14.9618, mean_absolute_error: 0.516, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.5562, predictive_accuracy: 0.484, prior_entropy: 0.9868, recall: 0.484, relative_absolute_error: 1.0513, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.7183, root_relative_squared_error: 1.4501, scimark_benchmark: 889.3151, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4115, kb_relative_information_score: 28.1628, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.3226, predictive_accuracy: 0.568, prior_entropy: 0.9868, recall: 0.568, relative_absolute_error: 0.8802, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6573, root_relative_squared_error: 1.3269, scimark_benchmark: 916.6405, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6114, f_measure: 0.6213, kappa: 0.2252, kb_relative_information_score: 56.9126, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6205, predictive_accuracy: 0.624, prior_entropy: 0.9868, recall: 0.624, relative_absolute_error: 0.7661, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6132, root_relative_squared_error: 1.2379, scimark_benchmark: 938.343, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6456, f_measure: 0.5983, kappa: 0.1776, kb_relative_information_score: 20.8023, mean_absolute_error: 0.4564, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.5982, predictive_accuracy: 0.604, prior_entropy: 0.9868, recall: 0.604, relative_absolute_error: 0.9299, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4807, root_relative_squared_error: 0.9705, scimark_benchmark: 930.5999, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5891, f_measure: 0.5984, kappa: 0.1795, kb_relative_information_score: 44.5912, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.5975, predictive_accuracy: 0.6, prior_entropy: 0.9868, recall: 0.6, relative_absolute_error: 0.815, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2768, scimark_benchmark: 942.9708, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5833, f_measure: 0.5677, kappa: 0.1151, kb_relative_information_score: 19.8126, mean_absolute_error: 0.4521, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.5664, predictive_accuracy: 0.572, prior_entropy: 0.9868, recall: 0.572, relative_absolute_error: 0.9211, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5335, root_relative_squared_error: 1.077, scimark_benchmark: 885.0921, usercpu_time_millis: 460, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, f_measure: 0.8031, kappa: 0.5975, kb_relative_information_score: 137.6243, mean_absolute_error: 0.2255, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8034, predictive_accuracy: 0.804, prior_entropy: 0.9868, recall: 0.804, relative_absolute_error: 0.4594, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.8103, scimark_benchmark: 1372.2145, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.8108, kappa: 0.6131, kb_relative_information_score: 65.7085, mean_absolute_error: 0.3843, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8118, predictive_accuracy: 0.812, prior_entropy: 0.9868, recall: 0.812, relative_absolute_error: 0.783, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8156, scimark_benchmark: 1280.6952, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6262, f_measure: 0.6324, kappa: 0.2518, kb_relative_information_score: 61.0197, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6328, predictive_accuracy: 0.632, prior_entropy: 0.9868, recall: 0.632, relative_absolute_error: 0.7498, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6066, root_relative_squared_error: 1.2246, scimark_benchmark: 1313.5726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8064, f_measure: 0.8, kappa: 0.5925, kb_relative_information_score: 123.1672, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9868, recall: 0.8, relative_absolute_error: 0.5332, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.8302, scimark_benchmark: 1073.494, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8148, f_measure: 0.8072, kappa: 0.6061, kb_relative_information_score: 135.1654, mean_absolute_error: 0.2346, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8074, predictive_accuracy: 0.808, prior_entropy: 0.9868, recall: 0.808, relative_absolute_error: 0.478, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8238, scimark_benchmark: 1310.8451, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5781, f_measure: 0.571, kappa: 0.1694, kb_relative_information_score: 56.9126, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6439, predictive_accuracy: 0.624, prior_entropy: 0.9868, recall: 0.624, relative_absolute_error: 0.7661, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6132, root_relative_squared_error: 1.2379, scimark_benchmark: 1291.6995, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2606, kb_relative_information_score: -41.6579, mean_absolute_error: 0.568, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.1866, predictive_accuracy: 0.432, prior_entropy: 0.9868, recall: 0.432, relative_absolute_error: 1.1572, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.7537, root_relative_squared_error: 1.5215, scimark_benchmark: 1361.1055, usercpu_time_millis: 130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8189, f_measure: 0.8203, kappa: 0.6344, kb_relative_information_score: 155.1359, mean_absolute_error: 0.1863, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8208, predictive_accuracy: 0.82, prior_entropy: 0.9868, recall: 0.82, relative_absolute_error: 0.3796, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4197, root_relative_squared_error: 0.8472, scimark_benchmark: 1392.1129, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7894, f_measure: 0.7953, kappa: 0.582, kb_relative_information_score: 145.2153, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.7953, predictive_accuracy: 0.796, prior_entropy: 0.9868, recall: 0.796, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9118, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7497, f_measure: 0.7556, kappa: 0.5011, kb_relative_information_score: 124.6798, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.7553, predictive_accuracy: 0.756, prior_entropy: 0.9868, recall: 0.756, relative_absolute_error: 0.4971, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.494, root_relative_squared_error: 0.9972, scimark_benchmark: 1353.5686, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.487, f_measure: 0.4115, kb_relative_information_score: -0.0698, mean_absolute_error: 0.4909, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.3226, predictive_accuracy: 0.568, prior_entropy: 0.9868, recall: 0.568, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4954, root_relative_squared_error: 1.0001, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, f_measure: 0.8758, kappa: 0.7465, kb_relative_information_score: 180.1028, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8758, predictive_accuracy: 0.876, prior_entropy: 0.9868, recall: 0.876, relative_absolute_error: 0.2846, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.7009, scimark_benchmark: 1353.5686, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6346, f_measure: 0.6027, kappa: 0.1886, kb_relative_information_score: 47.5007, mean_absolute_error: 0.3951, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6019, predictive_accuracy: 0.604, prior_entropy: 0.9868, recall: 0.604, relative_absolute_error: 0.805, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5908, root_relative_squared_error: 1.1927, scimark_benchmark: 931.2336, usercpu_time_millis: 160, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.628, f_measure: 0.6, kappa: 0.1849, kb_relative_information_score: 44.7892, mean_absolute_error: 0.4005, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 0.9868, recall: 0.6, relative_absolute_error: 0.8159, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6132, root_relative_squared_error: 1.2379, scimark_benchmark: 941.7954, usercpu_time_millis: 690, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6221, f_measure: 0.5966, kappa: 0.1795, kb_relative_information_score: 40.0351, mean_absolute_error: 0.4094, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.5974, predictive_accuracy: 0.596, prior_entropy: 0.9868, recall: 0.596, relative_absolute_error: 0.8341, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5885, root_relative_squared_error: 1.188, scimark_benchmark: 923.7642, usercpu_time_millis: 410, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, f_measure: 0.6, kappa: 0.1849, kb_relative_information_score: 40.1291, mean_absolute_error: 0.4104, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 0.9868, recall: 0.6, relative_absolute_error: 0.8361, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.583, root_relative_squared_error: 1.177, scimark_benchmark: 894.7455, usercpu_time_millis: 400, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.8558, kappa: 0.7059, kb_relative_information_score: 176.8122, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8558, predictive_accuracy: 0.856, prior_entropy: 0.9868, recall: 0.856, relative_absolute_error: 0.2909, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3481, root_relative_squared_error: 0.7028, scimark_benchmark: 894.7455, usercpu_time_millis: 750, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.8194, kappa: 0.6312, kb_relative_information_score: 161.4282, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8195, predictive_accuracy: 0.82, prior_entropy: 0.9868, recall: 0.82, relative_absolute_error: 0.3501, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.7508, scimark_benchmark: 943.2817, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.823, kappa: 0.6382, kb_relative_information_score: 151.8373, mean_absolute_error: 0.1949, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8238, predictive_accuracy: 0.824, prior_entropy: 0.9868, recall: 0.824, relative_absolute_error: 0.397, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.783, scimark_benchmark: 942.1229, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8622, f_measure: 0.7905, kappa: 0.5714, kb_relative_information_score: 135.8421, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.7916, predictive_accuracy: 0.792, prior_entropy: 0.9868, recall: 0.792, relative_absolute_error: 0.4635, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.401, root_relative_squared_error: 0.8096, scimark_benchmark: 922.9039, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, f_measure: 0.7481, kappa: 0.4844, kb_relative_information_score: 109.525, mean_absolute_error: 0.2815, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.7524, predictive_accuracy: 0.752, prior_entropy: 0.9868, recall: 0.752, relative_absolute_error: 0.5736, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4329, root_relative_squared_error: 0.874, scimark_benchmark: 938.4278, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.8402, kappa: 0.6747, kb_relative_information_score: 160.296, mean_absolute_error: 0.1763, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8404, predictive_accuracy: 0.84, prior_entropy: 0.9868, recall: 0.84, relative_absolute_error: 0.3591, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.7475, scimark_benchmark: 933.8635, usercpu_time_millis: 540, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.8357, kappa: 0.6647, kb_relative_information_score: 154.1169, mean_absolute_error: 0.1917, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8356, predictive_accuracy: 0.836, prior_entropy: 0.9868, recall: 0.836, relative_absolute_error: 0.3905, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.7451, scimark_benchmark: 924.6116, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.8272, kappa: 0.6468, kb_relative_information_score: 144.0348, mean_absolute_error: 0.2158, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8277, predictive_accuracy: 0.828, prior_entropy: 0.9868, recall: 0.828, relative_absolute_error: 0.4396, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7226, scimark_benchmark: 945.6434, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.8192, kappa: 0.6303, kb_relative_information_score: 134.2677, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8196, predictive_accuracy: 0.82, prior_entropy: 0.9868, recall: 0.82, relative_absolute_error: 0.4847, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.717, scimark_benchmark: 947.9494, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.7943, kappa: 0.5792, kb_relative_information_score: 121.5491, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.7958, predictive_accuracy: 0.796, prior_entropy: 0.9868, recall: 0.796, relative_absolute_error: 0.5409, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3514, root_relative_squared_error: 0.7095, scimark_benchmark: 929.566, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.487, f_measure: 0.4115, kb_relative_information_score: -0.0698, mean_absolute_error: 0.4909, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.3226, predictive_accuracy: 0.568, prior_entropy: 0.9868, recall: 0.568, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4954, root_relative_squared_error: 1.0001, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6285, f_measure: 0.2693, kappa: 0.0061, kb_relative_information_score: -6.6392, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.7554, predictive_accuracy: 0.436, prior_entropy: 0.9868, recall: 0.436, relative_absolute_error: 1.0102, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5636, root_relative_squared_error: 1.1378, scimark_benchmark: 929.566, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8944, f_measure: 0.784, kappa: 0.5599, kb_relative_information_score: 132.067, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.784, predictive_accuracy: 0.784, prior_entropy: 0.9868, recall: 0.784, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.7311, scimark_benchmark: 933.8635, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.79, f_measure: 0.7447, kappa: 0.4818, kb_relative_information_score: 65.2619, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.7463, predictive_accuracy: 0.744, prior_entropy: 0.9868, recall: 0.744, relative_absolute_error: 0.7661, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8686, scimark_benchmark: 933.8635, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.487, f_measure: 0.4115, kb_relative_information_score: -0.0698, mean_absolute_error: 0.4909, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.3226, predictive_accuracy: 0.568, prior_entropy: 0.9868, recall: 0.568, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4954, root_relative_squared_error: 1.0001, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.8155, kappa: 0.6234, kb_relative_information_score: 120.8911, mean_absolute_error: 0.2688, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8155, predictive_accuracy: 0.816, prior_entropy: 0.9868, recall: 0.816, relative_absolute_error: 0.5477, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3513, root_relative_squared_error: 0.7091, scimark_benchmark: 911.0478, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4115, kb_relative_information_score: 28.1628, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.3226, predictive_accuracy: 0.568, prior_entropy: 0.9868, recall: 0.568, relative_absolute_error: 0.8802, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6573, root_relative_squared_error: 1.3269, scimark_benchmark: 902.4773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, f_measure: 0.8758, kappa: 0.7465, kb_relative_information_score: 180.1028, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8758, predictive_accuracy: 0.876, prior_entropy: 0.9868, recall: 0.876, relative_absolute_error: 0.2846, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.7009, scimark_benchmark: 929.0255, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.8325, kappa: 0.6599, kb_relative_information_score: 71.8053, mean_absolute_error: 0.374, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8339, predictive_accuracy: 0.832, prior_entropy: 0.9868, recall: 0.832, relative_absolute_error: 0.762, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.8011, scimark_benchmark: 918.4924, usercpu_time_millis: 600, usercpu_time_millis_training: 600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6286, f_measure: 0.614, kappa: 0.2111, kb_relative_information_score: 14.1362, mean_absolute_error: 0.4679, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.618, predictive_accuracy: 0.624, prior_entropy: 0.9868, recall: 0.624, relative_absolute_error: 0.9533, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4839, root_relative_squared_error: 0.9769, scimark_benchmark: 917.7039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4115, kb_relative_information_score: 28.1628, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.3226, predictive_accuracy: 0.568, prior_entropy: 0.9868, recall: 0.568, relative_absolute_error: 0.8802, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6573, root_relative_squared_error: 1.3269, scimark_benchmark: 891.2195, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4115, kb_relative_information_score: 28.1628, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.3226, predictive_accuracy: 0.568, prior_entropy: 0.9868, recall: 0.568, relative_absolute_error: 0.8802, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6573, root_relative_squared_error: 1.3269, scimark_benchmark: 941.7954, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4115, kb_relative_information_score: 28.1628, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.3226, predictive_accuracy: 0.568, prior_entropy: 0.9868, recall: 0.568, relative_absolute_error: 0.8802, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6573, root_relative_squared_error: 1.3269, scimark_benchmark: 942.1229, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4891, f_measure: 0.4997, kappa: -0.02, kb_relative_information_score: -5.7269, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.4994, predictive_accuracy: 0.5, prior_entropy: 0.9868, recall: 0.5, relative_absolute_error: 1.0102, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6015, root_relative_squared_error: 1.2143, scimark_benchmark: 936.6206, usercpu_time_millis: 1940, usercpu_time_millis_testing: 1930, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, f_measure: 0.8793, kappa: 0.7533, kb_relative_information_score: 189.7611, mean_absolute_error: 0.1168, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8805, predictive_accuracy: 0.88, prior_entropy: 0.9868, recall: 0.88, relative_absolute_error: 0.238, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3381, root_relative_squared_error: 0.6825, scimark_benchmark: 935.8834, usercpu_time_millis: 2110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8579, f_measure: 0.8596, kappa: 0.7131, kb_relative_information_score: 178.0285, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8598, predictive_accuracy: 0.86, prior_entropy: 0.9868, recall: 0.86, relative_absolute_error: 0.2855, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7554, scimark_benchmark: 915.2795, usercpu_time_millis: 4440, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 4410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.7915, kappa: 0.5743, kb_relative_information_score: 141.3717, mean_absolute_error: 0.2131, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.7914, predictive_accuracy: 0.792, prior_entropy: 0.9868, recall: 0.792, relative_absolute_error: 0.4342, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8378, scimark_benchmark: 883.7187, usercpu_time_millis: 680, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6251, f_measure: 0.589, kappa: 0.1651, kb_relative_information_score: 33.8665, mean_absolute_error: 0.4241, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.5904, predictive_accuracy: 0.588, prior_entropy: 0.9868, recall: 0.588, relative_absolute_error: 0.8641, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5434, root_relative_squared_error: 1.097, scimark_benchmark: 935.8834, usercpu_time_millis: 550, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8277, kappa: 0.6483, kb_relative_information_score: 163.032, mean_absolute_error: 0.1699, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9868, recall: 0.828, relative_absolute_error: 0.3462, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3854, root_relative_squared_error: 0.7781, scimark_benchmark: 902.4773, usercpu_time_millis: 650, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.8523, kappa: 0.7001, kb_relative_information_score: 148.1775, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8534, predictive_accuracy: 0.852, prior_entropy: 0.9868, recall: 0.852, relative_absolute_error: 0.4227, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.655, scimark_benchmark: 935.8986, usercpu_time_millis: 320, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4115, kb_relative_information_score: 28.1628, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.3226, predictive_accuracy: 0.568, prior_entropy: 0.9868, recall: 0.568, relative_absolute_error: 0.8802, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6573, root_relative_squared_error: 1.3269, scimark_benchmark: 935.8986, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6022, f_measure: 0.5975, kappa: 0.199, kb_relative_information_score: 42.5377, mean_absolute_error: 0.404, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6109, predictive_accuracy: 0.596, prior_entropy: 0.9868, recall: 0.596, relative_absolute_error: 0.8231, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.6356, root_relative_squared_error: 1.2831, scimark_benchmark: 947.4269, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6547, build_cpu_time: 0.2648, build_memory: 1120974191.2, f_measure: 0.6509, kappa: 0.2869, kb_relative_information_score: 48.3878, mean_absolute_error: 0.3996, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6503, predictive_accuracy: 0.652, prior_entropy: 0.9868, recall: 0.652, relative_absolute_error: 0.8142, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5217, root_relative_squared_error: 1.0533, scimark_benchmark: 941.7891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6547, build_cpu_time: 0.269, build_memory: 734502041.6, f_measure: 0.6509, kappa: 0.2869, kb_relative_information_score: 48.3878, mean_absolute_error: 0.3996, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6503, predictive_accuracy: 0.652, prior_entropy: 0.9868, recall: 0.652, relative_absolute_error: 0.8142, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5217, root_relative_squared_error: 1.0533, scimark_benchmark: 943.1873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6547, build_cpu_time: 0.2668, build_memory: 1190129018.4, f_measure: 0.6509, kappa: 0.2869, kb_relative_information_score: 48.3878, mean_absolute_error: 0.3996, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6503, predictive_accuracy: 0.652, prior_entropy: 0.9868, recall: 0.652, relative_absolute_error: 0.8142, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5217, root_relative_squared_error: 1.0533, scimark_benchmark: 947.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6539, build_cpu_time: 0.2009, build_memory: 611370091.2, f_measure: 0.6514, kappa: 0.2885, kb_relative_information_score: 48.0525, mean_absolute_error: 0.4003, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6509, predictive_accuracy: 0.652, prior_entropy: 0.9868, recall: 0.652, relative_absolute_error: 0.8155, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5194, root_relative_squared_error: 1.0486, scimark_benchmark: 943.1873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8918, build_cpu_time: 0.14, build_memory: 128284858.4, f_measure: 0.7828, kappa: 0.5559, kb_relative_information_score: 147.2548, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.7833, predictive_accuracy: 0.784, prior_entropy: 0.9868, recall: 0.784, relative_absolute_error: 0.4099, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3834, root_relative_squared_error: 0.774, scimark_benchmark: 945.1987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, build_cpu_time: 0.2269, build_memory: 1011432594.4, f_measure: 0.8147, kappa: 0.6209, kb_relative_information_score: 151.7471, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.816, predictive_accuracy: 0.816, prior_entropy: 0.9868, recall: 0.816, relative_absolute_error: 0.3935, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.805, scimark_benchmark: 943.1873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, build_cpu_time: 0.4064, build_memory: 1289143914.4, f_measure: 0.8316, kappa: 0.6561, kb_relative_information_score: 160.8203, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8316, predictive_accuracy: 0.832, prior_entropy: 0.9868, recall: 0.832, relative_absolute_error: 0.3579, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3794, root_relative_squared_error: 0.7659, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9032, build_cpu_time: 0.559, build_memory: 680640695.2, f_measure: 0.8316, kappa: 0.6561, kb_relative_information_score: 166.1702, mean_absolute_error: 0.1639, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8316, predictive_accuracy: 0.832, prior_entropy: 0.9868, recall: 0.832, relative_absolute_error: 0.3339, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.7457, scimark_benchmark: 939.1359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, build_cpu_time: 0.6703, build_memory: 39204864.8, f_measure: 0.8357, kappa: 0.6647, kb_relative_information_score: 166.8504, mean_absolute_error: 0.1627, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8356, predictive_accuracy: 0.836, prior_entropy: 0.9868, recall: 0.836, relative_absolute_error: 0.3315, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.371, root_relative_squared_error: 0.7489, scimark_benchmark: 944.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6425, build_cpu_time: 0.0075, build_memory: 894362796, f_measure: 0.6484, kappa: 0.2843, kb_relative_information_score: 69.2339, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6488, predictive_accuracy: 0.648, prior_entropy: 0.9868, recall: 0.648, relative_absolute_error: 0.7172, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5933, root_relative_squared_error: 1.1977, scimark_benchmark: 874.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6425, build_cpu_time: 0.0055, build_memory: 107460510.4, f_measure: 0.6484, kappa: 0.2843, kb_relative_information_score: 69.2339, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6488, predictive_accuracy: 0.648, prior_entropy: 0.9868, recall: 0.648, relative_absolute_error: 0.7172, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5933, root_relative_squared_error: 1.1977, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6425, build_cpu_time: 0.0047, build_memory: 1758405820.8, f_measure: 0.6484, kappa: 0.2843, kb_relative_information_score: 69.2339, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6488, predictive_accuracy: 0.648, prior_entropy: 0.9868, recall: 0.648, relative_absolute_error: 0.7172, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5933, root_relative_squared_error: 1.1977, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6425, build_cpu_time: 0.0024, build_memory: 2132110237.6, f_measure: 0.6484, kappa: 0.2843, kb_relative_information_score: 69.2339, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6488, predictive_accuracy: 0.648, prior_entropy: 0.9868, recall: 0.648, relative_absolute_error: 0.7172, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5933, root_relative_squared_error: 1.1977, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6425, build_cpu_time: 0.0022, build_memory: 1842037556.8, f_measure: 0.6484, kappa: 0.2843, kb_relative_information_score: 69.2339, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6488, predictive_accuracy: 0.648, prior_entropy: 0.9868, recall: 0.648, relative_absolute_error: 0.7172, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5933, root_relative_squared_error: 1.1977, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, build_cpu_time: 0.1275, build_memory: 471737701.6, f_measure: 0.8217, kappa: 0.6349, kb_relative_information_score: 65.9301, mean_absolute_error: 0.3841, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8264, predictive_accuracy: 0.824, prior_entropy: 0.9868, recall: 0.824, relative_absolute_error: 0.7826, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8169, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, build_cpu_time: 0.1073, build_memory: 1388393592.8, f_measure: 0.8217, kappa: 0.6349, kb_relative_information_score: 65.9301, mean_absolute_error: 0.3841, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8264, predictive_accuracy: 0.824, prior_entropy: 0.9868, recall: 0.824, relative_absolute_error: 0.7826, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8169, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, build_cpu_time: 0.1262, build_memory: 1277404892.8, f_measure: 0.8217, kappa: 0.6349, kb_relative_information_score: 65.9301, mean_absolute_error: 0.3841, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8264, predictive_accuracy: 0.824, prior_entropy: 0.9868, recall: 0.824, relative_absolute_error: 0.7826, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8169, scimark_benchmark: 920.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, build_cpu_time: 0.1069, build_memory: 186193315.2, f_measure: 0.8217, kappa: 0.6349, kb_relative_information_score: 65.9301, mean_absolute_error: 0.3841, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8264, predictive_accuracy: 0.824, prior_entropy: 0.9868, recall: 0.824, relative_absolute_error: 0.7826, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8169, scimark_benchmark: 946.4503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, build_cpu_time: 0.1504, build_memory: 826870724, f_measure: 0.8217, kappa: 0.6349, kb_relative_information_score: 65.9301, mean_absolute_error: 0.3841, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8264, predictive_accuracy: 0.824, prior_entropy: 0.9868, recall: 0.824, relative_absolute_error: 0.7826, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8169, scimark_benchmark: 915.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, build_cpu_time: 0.4467, build_memory: 715476679.2, f_measure: 0.8435, kappa: 0.6803, kb_relative_information_score: 171.0264, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8437, predictive_accuracy: 0.844, prior_entropy: 0.9868, recall: 0.844, relative_absolute_error: 0.3129, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.7751, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, build_cpu_time: 0.2346, build_memory: 1126050322.4, f_measure: 0.8269, kappa: 0.646, kb_relative_information_score: 160.8889, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.828, predictive_accuracy: 0.828, prior_entropy: 0.9868, recall: 0.828, relative_absolute_error: 0.3536, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8157, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8829, build_cpu_time: 0.163, build_memory: 811244438.4, f_measure: 0.8143, kappa: 0.62, kb_relative_information_score: 156.5103, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8165, predictive_accuracy: 0.816, prior_entropy: 0.9868, recall: 0.816, relative_absolute_error: 0.3704, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8179, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, build_cpu_time: 0.0753, build_memory: 1671737781.6, f_measure: 0.8153, kappa: 0.6226, kb_relative_information_score: 148.002, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8155, predictive_accuracy: 0.816, prior_entropy: 0.9868, recall: 0.816, relative_absolute_error: 0.4113, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.8306, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, build_cpu_time: 0.0272, build_memory: 428704663.2, f_measure: 0.7876, kappa: 0.5666, kb_relative_information_score: 127.9564, mean_absolute_error: 0.2421, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.7875, predictive_accuracy: 0.788, prior_entropy: 0.9868, recall: 0.788, relative_absolute_error: 0.4932, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8546, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6313, build_cpu_time: 0.1165, build_memory: 631209339.2, f_measure: 0.6122, kappa: 0.2103, kb_relative_information_score: 42.8127, mean_absolute_error: 0.4069, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6124, predictive_accuracy: 0.612, prior_entropy: 0.9868, recall: 0.612, relative_absolute_error: 0.8289, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5593, root_relative_squared_error: 1.1291, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6168, build_cpu_time: 0.2131, build_memory: 1367216892.8, f_measure: 0.6, kappa: 0.1849, kb_relative_information_score: 39.49, mean_absolute_error: 0.412, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 0.9868, recall: 0.6, relative_absolute_error: 0.8394, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.5824, root_relative_squared_error: 1.1757, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, build_cpu_time: 0.2538, build_memory: 1431726248.8, f_measure: 0.6, kappa: 0.1849, kb_relative_information_score: 40.1291, mean_absolute_error: 0.4104, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 0.9868, recall: 0.6, relative_absolute_error: 0.8361, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.583, root_relative_squared_error: 1.177, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, build_cpu_time: 0.2481, build_memory: 875460195.2, f_measure: 0.6, kappa: 0.1849, kb_relative_information_score: 40.1291, mean_absolute_error: 0.4104, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 0.9868, recall: 0.6, relative_absolute_error: 0.8361, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.583, root_relative_squared_error: 1.177, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, build_cpu_time: 0.2522, build_memory: 3036559893.6, f_measure: 0.6, kappa: 0.1849, kb_relative_information_score: 40.1291, mean_absolute_error: 0.4104, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.6, predictive_accuracy: 0.6, prior_entropy: 0.9868, recall: 0.6, relative_absolute_error: 0.8361, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.583, root_relative_squared_error: 1.177, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, build_cpu_time: 19.0791, build_memory: 963398200.8, f_measure: 0.8084, kappa: 0.6105, kb_relative_information_score: 143.968, mean_absolute_error: 0.2098, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8092, predictive_accuracy: 0.808, prior_entropy: 0.9868, recall: 0.808, relative_absolute_error: 0.4275, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.8405, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, build_cpu_time: 36.4968, build_memory: 819261556, f_measure: 0.7842, kappa: 0.5608, kb_relative_information_score: 140.8448, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.7846, predictive_accuracy: 0.784, prior_entropy: 0.9868, recall: 0.784, relative_absolute_error: 0.4332, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.8668, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8886, build_cpu_time: 74.8862, build_memory: 921373504.8, f_measure: 0.816, kappa: 0.6251, kb_relative_information_score: 153.0325, mean_absolute_error: 0.1892, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.816, predictive_accuracy: 0.816, prior_entropy: 0.9868, recall: 0.816, relative_absolute_error: 0.3855, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.8315, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, build_cpu_time: 149.1981, build_memory: 638315213.6, f_measure: 0.7989, kappa: 0.5888, kb_relative_information_score: 149.2908, mean_absolute_error: 0.1952, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.7995, predictive_accuracy: 0.8, prior_entropy: 0.9868, recall: 0.8, relative_absolute_error: 0.3978, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.8766, scimark_benchmark: 943.8134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8521, build_cpu_time: 311.9186, build_memory: 46978876, f_measure: 0.824, kappa: 0.6414, kb_relative_information_score: 158.2689, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.824, predictive_accuracy: 0.824, prior_entropy: 0.9868, recall: 0.824, relative_absolute_error: 0.3647, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8423, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7919, build_cpu_time: 76.3738, build_memory: 42699465.6, f_measure: 0.7716, kappa: 0.5339, kb_relative_information_score: 132.6577, mean_absolute_error: 0.2287, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.7714, predictive_accuracy: 0.772, prior_entropy: 0.9868, recall: 0.772, relative_absolute_error: 0.466, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.955, scimark_benchmark: 925.7673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, build_cpu_time: 37.7592, build_memory: 55400589.6, f_measure: 0.7799, kappa: 0.5512, kb_relative_information_score: 136.125, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.7798, predictive_accuracy: 0.78, prior_entropy: 0.9868, recall: 0.78, relative_absolute_error: 0.4521, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4661, root_relative_squared_error: 0.9409, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8254, build_cpu_time: 18.1831, build_memory: 1666357026.4, f_measure: 0.776, kappa: 0.5436, kb_relative_information_score: 135.8354, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.776, predictive_accuracy: 0.776, prior_entropy: 0.9868, recall: 0.776, relative_absolute_error: 0.4527, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4621, root_relative_squared_error: 0.9329, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, build_cpu_time: 9.6817, build_memory: 703301278.4, f_measure: 0.7641, kappa: 0.5196, kb_relative_information_score: 129.851, mean_absolute_error: 0.2343, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.7643, predictive_accuracy: 0.764, prior_entropy: 0.9868, recall: 0.764, relative_absolute_error: 0.4774, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4622, root_relative_squared_error: 0.9331, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.839, build_cpu_time: 4.3335, build_memory: 774347924.8, f_measure: 0.7837, kappa: 0.5589, kb_relative_information_score: 132.0172, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.7836, predictive_accuracy: 0.784, prior_entropy: 0.9868, recall: 0.784, relative_absolute_error: 0.4723, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.443, root_relative_squared_error: 0.8943, scimark_benchmark: 920.2874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, build_cpu_time: 0.9908, build_memory: 894364224.8, f_measure: 0.8279, kappa: 0.6491, kb_relative_information_score: 159.4908, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8278, predictive_accuracy: 0.828, prior_entropy: 0.9868, recall: 0.828, relative_absolute_error: 0.3602, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3912, root_relative_squared_error: 0.7898, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, build_cpu_time: 1.8806, build_memory: 966705053.6, f_measure: 0.8105, kappa: 0.6122, kb_relative_information_score: 152.7956, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8122, predictive_accuracy: 0.812, prior_entropy: 0.9868, recall: 0.812, relative_absolute_error: 0.3879, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.4181, root_relative_squared_error: 0.844, scimark_benchmark: 874.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, build_cpu_time: 3.8061, build_memory: 963180744.8, f_measure: 0.8472, kappa: 0.6875, kb_relative_information_score: 173.415, mean_absolute_error: 0.1483, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8481, predictive_accuracy: 0.848, prior_entropy: 0.9868, recall: 0.848, relative_absolute_error: 0.3021, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3723, root_relative_squared_error: 0.7516, scimark_benchmark: 924.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, build_cpu_time: 7.6476, build_memory: 1159949348.8, f_measure: 0.8672, kappa: 0.7283, kb_relative_information_score: 181.6145, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8686, predictive_accuracy: 0.868, prior_entropy: 0.9868, recall: 0.868, relative_absolute_error: 0.2716, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3571, root_relative_squared_error: 0.7208, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, build_cpu_time: 17.9587, build_memory: 1539197282.4, f_measure: 0.8517, kappa: 0.6974, kb_relative_information_score: 174.2356, mean_absolute_error: 0.1473, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8517, predictive_accuracy: 0.852, prior_entropy: 0.9868, recall: 0.852, relative_absolute_error: 0.3002, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3799, root_relative_squared_error: 0.7669, scimark_benchmark: 914.1182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, build_cpu_time: 1.8397, build_memory: 1284273412, f_measure: 0.8638, kappa: 0.7223, kb_relative_information_score: 176.3028, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.4908, number_of_instances: 250, precision: 0.8638, predictive_accuracy: 0.864, prior_entropy: 0.9868, recall: 0.864, relative_absolute_error: 0.2937, root_mean_prior_squared_error: 0.4954, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.7321, scimark_benchmark: 933.4498,

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