DEVELOPMENT...

A PHP Error was encountered

Severity: Warning

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

Filename: models/Log.php

Line Number: 37

Backtrace:

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

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

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

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

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

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

A PHP Error was encountered

Severity: Warning

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

Filename: models/Log.php

Line Number: 37

Backtrace:

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

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

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

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

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

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

A PHP Error was encountered

Severity: Warning

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

Filename: models/Log.php

Line Number: 37

Backtrace:

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

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

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

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

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

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

OpenML
Task
Supervised Classification on fri_c0_500_10

Supervised Classification on fri_c0_500_10

Task 3806 Supervised Classification fri_c0_500_10 591 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:

591 Runs

Fetching data
Fetching data
Search runs in more detail run
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, f_measure: 0.7919, kappa: 0.5831, kb_relative_information_score: 228.1209, mean_absolute_error: 0.2803, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.792, predictive_accuracy: 0.792, prior_entropy: 0.9991, recall: 0.792, relative_absolute_error: 0.5614, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.401, root_relative_squared_error: 0.8026, scimark_benchmark: 1363.454, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7585, f_measure: 0.7447, kappa: 0.51, kb_relative_information_score: 251.5357, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.7961, predictive_accuracy: 0.752, prior_entropy: 0.9991, recall: 0.752, relative_absolute_error: 0.4966, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9966, scimark_benchmark: 1442.7264, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7937, f_measure: 0.7928, kappa: 0.5946, kb_relative_information_score: 299.6248, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8365, predictive_accuracy: 0.8, prior_entropy: 0.9991, recall: 0.8, relative_absolute_error: 0.4005, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.895, scimark_benchmark: 1336.3256, usercpu_time_millis: 270, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8481, f_measure: 0.8494, kappa: 0.6986, kb_relative_information_score: 349.7177, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8525, predictive_accuracy: 0.85, prior_entropy: 0.9991, recall: 0.85, relative_absolute_error: 0.3004, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7751, scimark_benchmark: 1287.514, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8419, kappa: 0.6833, kb_relative_information_score: 252.2482, mean_absolute_error: 0.2662, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8421, predictive_accuracy: 0.842, prior_entropy: 0.9991, recall: 0.842, relative_absolute_error: 0.5331, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.6814, scimark_benchmark: 930.5999, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.8359, kappa: 0.6713, kb_relative_information_score: 335.6917, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8361, predictive_accuracy: 0.836, prior_entropy: 0.9991, recall: 0.836, relative_absolute_error: 0.3284, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8105, scimark_benchmark: 1331.6907, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.86, kappa: 0.7196, kb_relative_information_score: 292.307, mean_absolute_error: 0.2209, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 0.9991, recall: 0.86, relative_absolute_error: 0.4423, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3214, root_relative_squared_error: 0.6433, scimark_benchmark: 909.1698, usercpu_time_millis: 8310, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 8240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.8598, kappa: 0.7192, kb_relative_information_score: 359.7363, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8604, predictive_accuracy: 0.86, prior_entropy: 0.9991, recall: 0.86, relative_absolute_error: 0.2804, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7488, scimark_benchmark: 1331.6907, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.8361, kappa: 0.672, kb_relative_information_score: 220.4399, mean_absolute_error: 0.2993, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8365, predictive_accuracy: 0.836, prior_entropy: 0.9991, recall: 0.836, relative_absolute_error: 0.5994, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7261, scimark_benchmark: 1073.494, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.8416, kappa: 0.6827, kb_relative_information_score: 242.5263, mean_absolute_error: 0.2762, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8436, predictive_accuracy: 0.842, prior_entropy: 0.9991, recall: 0.842, relative_absolute_error: 0.5532, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.7103, scimark_benchmark: 1290.1085, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.805, kappa: 0.61, kb_relative_information_score: 256.0432, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8089, predictive_accuracy: 0.806, prior_entropy: 0.9991, recall: 0.806, relative_absolute_error: 0.5124, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3833, root_relative_squared_error: 0.7672, scimark_benchmark: 1350.9691, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.8658, kappa: 0.7312, kb_relative_information_score: 279.0845, mean_absolute_error: 0.2395, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8665, predictive_accuracy: 0.866, prior_entropy: 0.9991, recall: 0.866, relative_absolute_error: 0.4796, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3161, root_relative_squared_error: 0.6325, scimark_benchmark: 1331.6907, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7799, f_measure: 0.78, kappa: 0.5596, kb_relative_information_score: 279.5877, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.7801, predictive_accuracy: 0.78, prior_entropy: 0.9991, recall: 0.78, relative_absolute_error: 0.4406, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9387, scimark_benchmark: 1333.5799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, f_measure: 0.8336, kappa: 0.6668, kb_relative_information_score: 273.1794, mean_absolute_error: 0.2418, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8352, predictive_accuracy: 0.834, prior_entropy: 0.9991, recall: 0.834, relative_absolute_error: 0.4842, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.7549, scimark_benchmark: 1316.0472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8543, f_measure: 0.8178, kappa: 0.6349, kb_relative_information_score: 267.9844, mean_absolute_error: 0.2459, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8183, predictive_accuracy: 0.818, prior_entropy: 0.9991, recall: 0.818, relative_absolute_error: 0.4925, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.77, scimark_benchmark: 1330.2678, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.791, f_measure: 0.7918, kappa: 0.5829, kb_relative_information_score: 291.61, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.7922, predictive_accuracy: 0.792, prior_entropy: 0.9991, recall: 0.792, relative_absolute_error: 0.4165, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9127, scimark_benchmark: 1318.1432, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5174, f_measure: 0.3522, kappa: 0.0335, kb_relative_information_score: -0.9324, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.7546, predictive_accuracy: 0.5, prior_entropy: 0.9991, recall: 0.5, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4151, scimark_benchmark: 1363.454, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8553, f_measure: 0.8034, kappa: 0.6064, kb_relative_information_score: 283.5069, mean_absolute_error: 0.2209, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8054, predictive_accuracy: 0.804, prior_entropy: 0.9991, recall: 0.804, relative_absolute_error: 0.4423, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.8059, scimark_benchmark: 1465.2979, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.613, f_measure: 0.6137, kappa: 0.2262, kb_relative_information_score: 113.2793, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.6137, predictive_accuracy: 0.614, prior_entropy: 0.9991, recall: 0.614, relative_absolute_error: 0.773, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6213, root_relative_squared_error: 1.2434, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.8015, kappa: 0.6025, kb_relative_information_score: 301.6285, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8029, predictive_accuracy: 0.802, prior_entropy: 0.9991, recall: 0.802, relative_absolute_error: 0.3965, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.445, root_relative_squared_error: 0.8905, scimark_benchmark: 1353.5686, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.3535, kb_relative_information_score: -0.0124, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.2683, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1, scimark_benchmark: 1380.2233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.8075, kappa: 0.6145, kb_relative_information_score: 297.9707, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8091, predictive_accuracy: 0.808, prior_entropy: 0.9991, recall: 0.808, relative_absolute_error: 0.4107, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8222, scimark_benchmark: 1466.6185, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.8659, kappa: 0.7314, kb_relative_information_score: 367.6637, mean_absolute_error: 0.1325, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8662, predictive_accuracy: 0.866, prior_entropy: 0.9991, recall: 0.866, relative_absolute_error: 0.2653, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.6863, scimark_benchmark: 927.0753, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.8859, kappa: 0.7715, kb_relative_information_score: 382.5482, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8861, predictive_accuracy: 0.886, prior_entropy: 0.9991, recall: 0.886, relative_absolute_error: 0.2357, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3183, root_relative_squared_error: 0.637, scimark_benchmark: 945.6434, usercpu_time_millis: 150, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.88, kappa: 0.7596, kb_relative_information_score: 378.927, mean_absolute_error: 0.1212, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.88, predictive_accuracy: 0.88, prior_entropy: 0.9991, recall: 0.88, relative_absolute_error: 0.2427, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3205, root_relative_squared_error: 0.6414, scimark_benchmark: 876.8277, usercpu_time_millis: 300, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.8799, kappa: 0.7594, kb_relative_information_score: 365.3076, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8803, predictive_accuracy: 0.88, prior_entropy: 0.9991, recall: 0.88, relative_absolute_error: 0.2749, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3109, root_relative_squared_error: 0.6223, scimark_benchmark: 945.6434, usercpu_time_millis: 170, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.8779, kappa: 0.7554, kb_relative_information_score: 359.8176, mean_absolute_error: 0.1432, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8782, predictive_accuracy: 0.878, prior_entropy: 0.9991, recall: 0.878, relative_absolute_error: 0.2867, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3146, root_relative_squared_error: 0.6297, scimark_benchmark: 894.7455, usercpu_time_millis: 170, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.884, kappa: 0.7677, kb_relative_information_score: 375.435, mean_absolute_error: 0.1264, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.884, predictive_accuracy: 0.884, prior_entropy: 0.9991, recall: 0.884, relative_absolute_error: 0.2532, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3078, root_relative_squared_error: 0.616, scimark_benchmark: 936.7115, usercpu_time_millis: 380, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.8759, kappa: 0.7515, kb_relative_information_score: 372.0077, mean_absolute_error: 0.1295, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8761, predictive_accuracy: 0.876, prior_entropy: 0.9991, recall: 0.876, relative_absolute_error: 0.2594, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3067, root_relative_squared_error: 0.6137, scimark_benchmark: 938.2848, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.852, kappa: 0.7036, kb_relative_information_score: 340.1961, mean_absolute_error: 0.1623, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.852, predictive_accuracy: 0.852, prior_entropy: 0.9991, recall: 0.852, relative_absolute_error: 0.3251, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.6745, scimark_benchmark: 936.6206, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, f_measure: 0.8376, kappa: 0.6748, kb_relative_information_score: 315.4988, mean_absolute_error: 0.1886, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8392, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.3778, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3765, root_relative_squared_error: 0.7535, scimark_benchmark: 933.8635, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.8358, kappa: 0.6711, kb_relative_information_score: 311.4742, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8363, predictive_accuracy: 0.836, prior_entropy: 0.9991, recall: 0.836, relative_absolute_error: 0.388, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3805, root_relative_squared_error: 0.7616, scimark_benchmark: 938.4278, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.872, kappa: 0.7438, kb_relative_information_score: 357.5975, mean_absolute_error: 0.1465, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8722, predictive_accuracy: 0.872, prior_entropy: 0.9991, recall: 0.872, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.6089, scimark_benchmark: 933.8635, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.874, kappa: 0.7476, kb_relative_information_score: 348.0795, mean_absolute_error: 0.1582, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.874, predictive_accuracy: 0.874, prior_entropy: 0.9991, recall: 0.874, relative_absolute_error: 0.3169, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2971, root_relative_squared_error: 0.5946, scimark_benchmark: 924.6116, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.87, kappa: 0.7399, kb_relative_information_score: 331.8987, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8702, predictive_accuracy: 0.87, prior_entropy: 0.9991, recall: 0.87, relative_absolute_error: 0.3533, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3014, root_relative_squared_error: 0.6032, scimark_benchmark: 924.6116, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.88, kappa: 0.7596, kb_relative_information_score: 320.3448, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.88, predictive_accuracy: 0.88, prior_entropy: 0.9991, recall: 0.88, relative_absolute_error: 0.3836, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3, root_relative_squared_error: 0.6004, scimark_benchmark: 947.9494, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.8499, kappa: 0.6993, kb_relative_information_score: 275.4642, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8501, predictive_accuracy: 0.85, prior_entropy: 0.9991, recall: 0.85, relative_absolute_error: 0.4819, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3277, root_relative_squared_error: 0.6559, scimark_benchmark: 929.566, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.3535, kb_relative_information_score: -0.0124, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.2683, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.8291, kappa: 0.6581, kb_relative_information_score: 280.6812, mean_absolute_error: 0.2309, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8338, predictive_accuracy: 0.83, prior_entropy: 0.9991, recall: 0.83, relative_absolute_error: 0.4624, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.6835, scimark_benchmark: 934.5243, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.856, kappa: 0.7118, kb_relative_information_score: 297.9591, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8562, predictive_accuracy: 0.856, prior_entropy: 0.9991, recall: 0.856, relative_absolute_error: 0.4308, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3243, root_relative_squared_error: 0.6491, scimark_benchmark: 933.8635, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.84, kappa: 0.6798, kb_relative_information_score: 293.0833, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8402, predictive_accuracy: 0.84, prior_entropy: 0.9991, recall: 0.84, relative_absolute_error: 0.437, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.6678, scimark_benchmark: 943.6956, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.3535, kb_relative_information_score: -0.0124, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.2683, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1, scimark_benchmark: 929.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.846, kappa: 0.6915, kb_relative_information_score: 274.6202, mean_absolute_error: 0.2423, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.846, predictive_accuracy: 0.846, prior_entropy: 0.9991, recall: 0.846, relative_absolute_error: 0.4852, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.6539, scimark_benchmark: 911.0478, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3535, kb_relative_information_score: 17.101, mean_absolute_error: 0.482, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.2683, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9652, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6943, root_relative_squared_error: 1.3894, scimark_benchmark: 947.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.8075, kappa: 0.6145, kb_relative_information_score: 297.9707, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8091, predictive_accuracy: 0.808, prior_entropy: 0.9991, recall: 0.808, relative_absolute_error: 0.4107, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8222, scimark_benchmark: 904.3001, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.8275, kappa: 0.6546, kb_relative_information_score: 112.1293, mean_absolute_error: 0.4099, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8296, predictive_accuracy: 0.828, prior_entropy: 0.9991, recall: 0.828, relative_absolute_error: 0.8209, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.421, root_relative_squared_error: 0.8425, scimark_benchmark: 947.9494, usercpu_time_millis: 650, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.736, kappa: 0.4727, kb_relative_information_score: 108.8582, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.7415, predictive_accuracy: 0.738, prior_entropy: 0.9991, recall: 0.738, relative_absolute_error: 0.8188, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.428, root_relative_squared_error: 0.8566, scimark_benchmark: 901.0726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.3535, kb_relative_information_score: -0.0124, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.2683, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1, scimark_benchmark: 947.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.7539, kappa: 0.5071, kb_relative_information_score: 236.3702, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.7539, predictive_accuracy: 0.754, prior_entropy: 0.9991, recall: 0.754, relative_absolute_error: 0.5358, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4226, root_relative_squared_error: 0.8458, scimark_benchmark: 901.0726, usercpu_time_millis: 1630, usercpu_time_millis_testing: 1630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.8619, kappa: 0.7233, kb_relative_information_score: 362.6688, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8623, predictive_accuracy: 0.862, prior_entropy: 0.9991, recall: 0.862, relative_absolute_error: 0.2745, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.7382, scimark_benchmark: 889.9795, usercpu_time_millis: 1250, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8659, kappa: 0.7315, kb_relative_information_score: 367.6416, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8661, predictive_accuracy: 0.866, prior_entropy: 0.9991, recall: 0.866, relative_absolute_error: 0.264, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.7211, scimark_benchmark: 941.8057, usercpu_time_millis: 2450, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.824, kappa: 0.6475, kb_relative_information_score: 321.9159, mean_absolute_error: 0.1775, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.824, predictive_accuracy: 0.824, prior_entropy: 0.9991, recall: 0.824, relative_absolute_error: 0.3554, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.7977, scimark_benchmark: 935.8986, usercpu_time_millis: 740, usercpu_time_millis_training: 740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.8281, kappa: 0.656, kb_relative_information_score: 324.1503, mean_absolute_error: 0.1763, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8285, predictive_accuracy: 0.828, prior_entropy: 0.9991, recall: 0.828, relative_absolute_error: 0.353, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.382, root_relative_squared_error: 0.7644, scimark_benchmark: 927.0753, usercpu_time_millis: 390, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.7556, kappa: 0.5136, kb_relative_information_score: 206.2231, mean_absolute_error: 0.3067, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.7614, predictive_accuracy: 0.756, prior_entropy: 0.9991, recall: 0.756, relative_absolute_error: 0.6142, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4177, root_relative_squared_error: 0.8359, scimark_benchmark: 930.32, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9404, f_measure: 0.8699, kappa: 0.7393, kb_relative_information_score: 361.7053, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8703, predictive_accuracy: 0.87, prior_entropy: 0.9991, recall: 0.87, relative_absolute_error: 0.2806, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3316, root_relative_squared_error: 0.6636, scimark_benchmark: 931.4202, usercpu_time_millis: 310, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.8416, kappa: 0.6827, kb_relative_information_score: 242.5263, mean_absolute_error: 0.2762, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8436, predictive_accuracy: 0.842, prior_entropy: 0.9991, recall: 0.842, relative_absolute_error: 0.5532, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.7103, scimark_benchmark: 915.2795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, f_measure: 0.8039, kappa: 0.6151, kb_relative_information_score: 309.6434, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8429, predictive_accuracy: 0.81, prior_entropy: 0.9991, recall: 0.81, relative_absolute_error: 0.3805, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.8723, scimark_benchmark: 940.3346, usercpu_time_millis: 230, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8409, f_measure: 0.8417, kappa: 0.683, kb_relative_information_score: 341.7028, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8426, predictive_accuracy: 0.842, prior_entropy: 0.9991, recall: 0.842, relative_absolute_error: 0.3164, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.7955, scimark_benchmark: 947.4269, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, build_cpu_time: 0.0931, build_memory: 1114301125.6, f_measure: 0.8455, kappa: 0.6907, kb_relative_information_score: 306.0177, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.848, predictive_accuracy: 0.846, prior_entropy: 0.9991, recall: 0.846, relative_absolute_error: 0.4121, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7018, scimark_benchmark: 945.1987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, build_cpu_time: 0.0981, build_memory: 960763992.8, f_measure: 0.8455, kappa: 0.6907, kb_relative_information_score: 306.0177, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.848, predictive_accuracy: 0.846, prior_entropy: 0.9991, recall: 0.846, relative_absolute_error: 0.4121, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7018, scimark_benchmark: 929.9115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, build_cpu_time: 0.1054, build_memory: 952257110.4, f_measure: 0.8455, kappa: 0.6907, kb_relative_information_score: 306.0177, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.848, predictive_accuracy: 0.846, prior_entropy: 0.9991, recall: 0.846, relative_absolute_error: 0.4121, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7018, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, build_cpu_time: 0.1047, build_memory: 757186832, f_measure: 0.8455, kappa: 0.6907, kb_relative_information_score: 306.0177, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.848, predictive_accuracy: 0.846, prior_entropy: 0.9991, recall: 0.846, relative_absolute_error: 0.4121, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7018, scimark_benchmark: 943.1873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, build_cpu_time: 0.0806, build_memory: 843847030.4, f_measure: 0.858, kappa: 0.7158, kb_relative_information_score: 347.6392, mean_absolute_error: 0.1543, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8582, predictive_accuracy: 0.858, prior_entropy: 0.9991, recall: 0.858, relative_absolute_error: 0.309, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.6969, scimark_benchmark: 939.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.935, build_cpu_time: 0.1117, build_memory: 217473075.2, f_measure: 0.864, kappa: 0.7275, kb_relative_information_score: 356.5708, mean_absolute_error: 0.1446, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.864, predictive_accuracy: 0.864, prior_entropy: 0.9991, recall: 0.864, relative_absolute_error: 0.2895, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3474, root_relative_squared_error: 0.6952, scimark_benchmark: 938.8409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, build_cpu_time: 0.196, build_memory: 514049978.4, f_measure: 0.8739, kappa: 0.7473, kb_relative_information_score: 368.4262, mean_absolute_error: 0.1325, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8743, predictive_accuracy: 0.874, prior_entropy: 0.9991, recall: 0.874, relative_absolute_error: 0.2653, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3367, root_relative_squared_error: 0.6739, scimark_benchmark: 939.1359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9376, build_cpu_time: 0.3965, build_memory: 738960445.6, f_measure: 0.8678, kappa: 0.7352, kb_relative_information_score: 363.2984, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8686, predictive_accuracy: 0.868, prior_entropy: 0.9991, recall: 0.868, relative_absolute_error: 0.2749, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3468, root_relative_squared_error: 0.6941, scimark_benchmark: 940.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, build_cpu_time: 0.5637, build_memory: 29797295.2, f_measure: 0.8759, kappa: 0.7513, kb_relative_information_score: 371.9729, mean_absolute_error: 0.1283, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8764, predictive_accuracy: 0.876, prior_entropy: 0.9991, recall: 0.876, relative_absolute_error: 0.257, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3339, root_relative_squared_error: 0.6683, scimark_benchmark: 935.1201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7814, build_cpu_time: 0.0082, build_memory: 1111909183.2, f_measure: 0.7819, kappa: 0.5631, kb_relative_information_score: 281.5914, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.782, predictive_accuracy: 0.782, prior_entropy: 0.9991, recall: 0.782, relative_absolute_error: 0.4366, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4669, root_relative_squared_error: 0.9344, scimark_benchmark: 874.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7814, build_cpu_time: 0.0061, build_memory: 88683428, f_measure: 0.7819, kappa: 0.5631, kb_relative_information_score: 281.5914, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.782, predictive_accuracy: 0.782, prior_entropy: 0.9991, recall: 0.782, relative_absolute_error: 0.4366, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4669, root_relative_squared_error: 0.9344, scimark_benchmark: 939.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7814, build_cpu_time: 0.0053, build_memory: 1522796260.8, f_measure: 0.7819, kappa: 0.5631, kb_relative_information_score: 281.5914, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.782, predictive_accuracy: 0.782, prior_entropy: 0.9991, recall: 0.782, relative_absolute_error: 0.4366, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4669, root_relative_squared_error: 0.9344, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7814, build_cpu_time: 0.005, build_memory: 2941191860.8, f_measure: 0.7819, kappa: 0.5631, kb_relative_information_score: 281.5914, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.782, predictive_accuracy: 0.782, prior_entropy: 0.9991, recall: 0.782, relative_absolute_error: 0.4366, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4669, root_relative_squared_error: 0.9344, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7814, build_cpu_time: 0.003, build_memory: 1405826912, f_measure: 0.7819, kappa: 0.5631, kb_relative_information_score: 281.5914, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.782, predictive_accuracy: 0.782, prior_entropy: 0.9991, recall: 0.782, relative_absolute_error: 0.4366, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4669, root_relative_squared_error: 0.9344, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, build_cpu_time: 0.2158, build_memory: 1017393791.2, f_measure: 0.8638, kappa: 0.7273, kb_relative_information_score: 273.3345, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8644, predictive_accuracy: 0.864, prior_entropy: 0.9991, recall: 0.864, relative_absolute_error: 0.4917, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.641, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, build_cpu_time: 0.1504, build_memory: 537350386.4, f_measure: 0.8638, kappa: 0.7273, kb_relative_information_score: 273.3345, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8644, predictive_accuracy: 0.864, prior_entropy: 0.9991, recall: 0.864, relative_absolute_error: 0.4917, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.641, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, build_cpu_time: 0.2111, build_memory: 684057013.6, f_measure: 0.8638, kappa: 0.7273, kb_relative_information_score: 273.3345, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8644, predictive_accuracy: 0.864, prior_entropy: 0.9991, recall: 0.864, relative_absolute_error: 0.4917, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.641, scimark_benchmark: 920.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, build_cpu_time: 0.2099, build_memory: 661933176, f_measure: 0.8638, kappa: 0.7273, kb_relative_information_score: 273.3345, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8644, predictive_accuracy: 0.864, prior_entropy: 0.9991, recall: 0.864, relative_absolute_error: 0.4917, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.641, scimark_benchmark: 940.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, build_cpu_time: 0.1586, build_memory: 813289103.2, f_measure: 0.8638, kappa: 0.7273, kb_relative_information_score: 273.3345, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8644, predictive_accuracy: 0.864, prior_entropy: 0.9991, recall: 0.864, relative_absolute_error: 0.4917, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.641, scimark_benchmark: 915.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7831, build_cpu_time: 0.2984, build_memory: 834405697.6, f_measure: 0.7257, kappa: 0.4506, kb_relative_information_score: 223.7352, mean_absolute_error: 0.2755, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.7259, predictive_accuracy: 0.726, prior_entropy: 0.9991, recall: 0.726, relative_absolute_error: 0.5517, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5119, root_relative_squared_error: 1.0244, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7921, build_cpu_time: 0.1272, build_memory: 905152178.4, f_measure: 0.7261, kappa: 0.452, kb_relative_information_score: 226.8256, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.7266, predictive_accuracy: 0.726, prior_entropy: 0.9991, recall: 0.726, relative_absolute_error: 0.5462, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0042, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.792, build_cpu_time: 0.0954, build_memory: 1187519979.2, f_measure: 0.7358, kappa: 0.4707, kb_relative_information_score: 225.5549, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.7359, predictive_accuracy: 0.736, prior_entropy: 0.9991, recall: 0.736, relative_absolute_error: 0.5522, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4947, root_relative_squared_error: 0.9901, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7662, build_cpu_time: 0.0319, build_memory: 1701705553.6, f_measure: 0.6919, kappa: 0.3828, kb_relative_information_score: 186.1585, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.6919, predictive_accuracy: 0.692, prior_entropy: 0.9991, recall: 0.692, relative_absolute_error: 0.6299, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5041, root_relative_squared_error: 1.0089, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7674, build_cpu_time: 0.0156, build_memory: 1141410356.8, f_measure: 0.68, kappa: 0.3606, kb_relative_information_score: 177.3369, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.6815, predictive_accuracy: 0.68, prior_entropy: 0.9991, recall: 0.68, relative_absolute_error: 0.6521, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4786, root_relative_squared_error: 0.9578, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, build_cpu_time: 0.0485, build_memory: 638881832.8, f_measure: 0.8679, kappa: 0.7353, kb_relative_information_score: 351.3733, mean_absolute_error: 0.153, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8684, predictive_accuracy: 0.868, prior_entropy: 0.9991, recall: 0.868, relative_absolute_error: 0.3063, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.317, root_relative_squared_error: 0.6344, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, build_cpu_time: 0.0883, build_memory: 1498455143.2, f_measure: 0.8719, kappa: 0.7434, kb_relative_information_score: 358.2047, mean_absolute_error: 0.1446, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8721, predictive_accuracy: 0.872, prior_entropy: 0.9991, recall: 0.872, relative_absolute_error: 0.2896, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.6333, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, build_cpu_time: 0.0936, build_memory: 792476238.4, f_measure: 0.8779, kappa: 0.7554, kb_relative_information_score: 359.8176, mean_absolute_error: 0.1432, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8782, predictive_accuracy: 0.878, prior_entropy: 0.9991, recall: 0.878, relative_absolute_error: 0.2867, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3146, root_relative_squared_error: 0.6297, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, build_cpu_time: 0.1033, build_memory: 1583610966.4, f_measure: 0.8779, kappa: 0.7554, kb_relative_information_score: 359.8176, mean_absolute_error: 0.1432, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8782, predictive_accuracy: 0.878, prior_entropy: 0.9991, recall: 0.878, relative_absolute_error: 0.2867, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3146, root_relative_squared_error: 0.6297, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, build_cpu_time: 0.1272, build_memory: 416846198.4, f_measure: 0.8779, kappa: 0.7554, kb_relative_information_score: 359.8176, mean_absolute_error: 0.1432, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8782, predictive_accuracy: 0.878, prior_entropy: 0.9991, recall: 0.878, relative_absolute_error: 0.2867, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3146, root_relative_squared_error: 0.6297, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, build_cpu_time: 17.0593, build_memory: 22455998.4, f_measure: 0.798, kappa: 0.5955, kb_relative_information_score: 287.8063, mean_absolute_error: 0.2149, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.798, predictive_accuracy: 0.798, prior_entropy: 0.9991, recall: 0.798, relative_absolute_error: 0.4303, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.763, scimark_benchmark: 899.4388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, build_cpu_time: 32.3152, build_memory: 638058296.8, f_measure: 0.85, kappa: 0.6998, kb_relative_information_score: 342.2693, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8502, predictive_accuracy: 0.85, prior_entropy: 0.9991, recall: 0.85, relative_absolute_error: 0.3192, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.7003, scimark_benchmark: 886.4678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, build_cpu_time: 67.5842, build_memory: 25590586.4, f_measure: 0.864, kappa: 0.7276, kb_relative_information_score: 356.2517, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.864, predictive_accuracy: 0.864, prior_entropy: 0.9991, recall: 0.864, relative_absolute_error: 0.2907, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3484, root_relative_squared_error: 0.6973, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, build_cpu_time: 267.5387, build_memory: 732598137.6, f_measure: 0.8578, kappa: 0.7152, kb_relative_information_score: 359.2514, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8585, predictive_accuracy: 0.858, prior_entropy: 0.9991, recall: 0.858, relative_absolute_error: 0.2808, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.7249, scimark_benchmark: 944.2203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, build_cpu_time: 38.2703, build_memory: 1049379299.2, f_measure: 0.8778, kappa: 0.7552, kb_relative_information_score: 377.24, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8788, predictive_accuracy: 0.878, prior_entropy: 0.9991, recall: 0.878, relative_absolute_error: 0.2455, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3492, root_relative_squared_error: 0.6988, scimark_benchmark: 931.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, build_cpu_time: 18.7456, build_memory: 102824097.6, f_measure: 0.8638, kappa: 0.7273, kb_relative_information_score: 364.4973, mean_absolute_error: 0.1351, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8644, predictive_accuracy: 0.864, prior_entropy: 0.9991, recall: 0.864, relative_absolute_error: 0.2705, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.7269, scimark_benchmark: 931.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, build_cpu_time: 9.4914, build_memory: 1989364426.4, f_measure: 0.8659, kappa: 0.7313, kb_relative_information_score: 364.5474, mean_absolute_error: 0.1355, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8663, predictive_accuracy: 0.866, prior_entropy: 0.9991, recall: 0.866, relative_absolute_error: 0.2713, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7261, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, build_cpu_time: 4.4367, build_memory: 855830019.2, f_measure: 0.8658, kappa: 0.7312, kb_relative_information_score: 363.1459, mean_absolute_error: 0.1369, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8665, predictive_accuracy: 0.866, prior_entropy: 0.9991, recall: 0.866, relative_absolute_error: 0.2742, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3541, root_relative_squared_error: 0.7087, scimark_benchmark: 942.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, build_cpu_time: 2.0085, build_memory: 359831636.8, f_measure: 0.8399, kappa: 0.6794, kb_relative_information_score: 337.5902, mean_absolute_error: 0.1625, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 0.9991, recall: 0.84, relative_absolute_error: 0.3254, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3798, root_relative_squared_error: 0.76, scimark_benchmark: 937.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, build_cpu_time: 0.4948, build_memory: 753708544.8, f_measure: 0.8439, kappa: 0.6874, kb_relative_information_score: 342.4608, mean_absolute_error: 0.1582, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.844, predictive_accuracy: 0.844, prior_entropy: 0.9991, recall: 0.844, relative_absolute_error: 0.3168, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3576, root_relative_squared_error: 0.7157, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, build_cpu_time: 1.8958, build_memory: 406177568, f_measure: 0.8758, kappa: 0.7512, kb_relative_information_score: 370.535, mean_absolute_error: 0.1299, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8767, predictive_accuracy: 0.876, prior_entropy: 0.9991, recall: 0.876, relative_absolute_error: 0.26, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.6793, scimark_benchmark: 924.2473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, build_cpu_time: 6.9013, build_memory: 512887156, f_measure: 0.8759, kappa: 0.7513, kb_relative_information_score: 374.2924, mean_absolute_error: 0.1255, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8764, predictive_accuracy: 0.876, prior_entropy: 0.9991, recall: 0.876, relative_absolute_error: 0.2514, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.6948, scimark_benchmark: 920.2874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, build_cpu_time: 1.5001, build_memory: 1176796626.4, f_measure: 0.8639, kappa: 0.7274, kb_relative_information_score: 365.1563, mean_absolute_error: 0.1346, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8641, predictive_accuracy: 0.864, prior_entropy: 0.9991, recall: 0.864, relative_absolute_error: 0.2696, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7057, scimark_benchmark: 937.5625,

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