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 Data Stream Classification on BNG(zoo)

Supervised Data Stream Classification on BNG(zoo)

Task 2168 Supervised Data Stream Classification BNG(zoo) 290 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • ecmlpkdd2015 streamensembles streams study_11 study_16
Issue #Downvotes for this reason By


Metric:

290 Runs

Fetching data
Fetching data
Search runs in more detail run
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, f_measure: 0.5229, kappa: 0.4173, kb_relative_information_score: 502195.5031, mean_absolute_error: 0.1412, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.5367, predictive_accuracy: 0.5957, prior_entropy: 2.8074, recall: 0.5957, relative_absolute_error: 0.5765, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2694, root_relative_squared_error: 0.7698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2252, kb_relative_information_score: 348696.3873, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.1572, predictive_accuracy: 0.3965, prior_entropy: 2.8074, recall: 0.3965, relative_absolute_error: 0.7041, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4152, root_relative_squared_error: 1.1867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2252, kb_relative_information_score: 348696.3873, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.1572, predictive_accuracy: 0.3965, prior_entropy: 2.8074, recall: 0.3965, relative_absolute_error: 0.7041, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4152, root_relative_squared_error: 1.1867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9353, kappa: 0.9165, kb_relative_information_score: 920586.8339, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9353, predictive_accuracy: 0.9362, prior_entropy: 2.8074, recall: 0.9362, relative_absolute_error: 0.1103, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1165, root_relative_squared_error: 0.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7626, f_measure: 0.4841, kappa: 0.4241, kb_relative_information_score: 534159.1598, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.4536, predictive_accuracy: 0.5825, prior_entropy: 2.8074, recall: 0.5825, relative_absolute_error: 0.5251, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3345, root_relative_squared_error: 0.9558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9231, kappa: 0.9027, kb_relative_information_score: 903167.0276, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9226, predictive_accuracy: 0.9257, prior_entropy: 2.8074, recall: 0.9257, relative_absolute_error: 0.1376, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1259, root_relative_squared_error: 0.3598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9344, kappa: 0.9156, kb_relative_information_score: 902979.2301, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9342, predictive_accuracy: 0.9357, prior_entropy: 2.8074, recall: 0.9357, relative_absolute_error: 0.144, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.3392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.93, kappa: 0.9068, kb_relative_information_score: 918037.7611, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9326, predictive_accuracy: 0.9284, prior_entropy: 2.8074, recall: 0.9284, relative_absolute_error: 0.1096, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1229, root_relative_squared_error: 0.3511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.4777, kappa: 0.4209, kb_relative_information_score: 487339.731, mean_absolute_error: 0.146, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.4944, predictive_accuracy: 0.5832, prior_entropy: 2.8074, recall: 0.5832, relative_absolute_error: 0.596, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2702, root_relative_squared_error: 0.7722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2252, kb_relative_information_score: 348696.3873, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.1572, predictive_accuracy: 0.3965, prior_entropy: 2.8074, recall: 0.3965, relative_absolute_error: 0.7041, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4152, root_relative_squared_error: 1.1867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7425, f_measure: 0.4864, kappa: 0.4282, kb_relative_information_score: 553085.9481, mean_absolute_error: 0.1184, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.4546, predictive_accuracy: 0.5857, prior_entropy: 2.8074, recall: 0.5857, relative_absolute_error: 0.4835, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3437, root_relative_squared_error: 0.9822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7403, f_measure: 0.4728, kappa: 0.4076, kb_relative_information_score: 537641.5525, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.4399, predictive_accuracy: 0.5713, prior_entropy: 2.8074, recall: 0.5713, relative_absolute_error: 0.5046, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3466, root_relative_squared_error: 0.9905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.936, kappa: 0.9172, kb_relative_information_score: 915154.5444, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9361, predictive_accuracy: 0.9367, prior_entropy: 2.8074, recall: 0.9367, relative_absolute_error: 0.1204, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1166, root_relative_squared_error: 0.3333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9344, kappa: 0.9152, kb_relative_information_score: 343456.5429, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9344, predictive_accuracy: 0.9352, prior_entropy: 2.8074, recall: 0.9352, relative_absolute_error: 0.8405, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3021, root_relative_squared_error: 0.8633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8167, f_measure: 0.4775, kappa: 0.4208, kb_relative_information_score: 495627.8518, mean_absolute_error: 0.1446, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.4351, predictive_accuracy: 0.5832, prior_entropy: 2.8074, recall: 0.5832, relative_absolute_error: 0.5903, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2705, root_relative_squared_error: 0.7729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7771, f_measure: 0.5996, kappa: 0.5276, kb_relative_information_score: 609353.3563, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.5861, predictive_accuracy: 0.6384, prior_entropy: 2.8074, recall: 0.6384, relative_absolute_error: 0.4252, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.9111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.6869, kappa: 0.6271, kb_relative_information_score: 618479.5043, mean_absolute_error: 0.1178, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6913, predictive_accuracy: 0.722, prior_entropy: 2.8074, recall: 0.722, relative_absolute_error: 0.4812, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2355, root_relative_squared_error: 0.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6571, f_measure: 0.4308, kappa: 0.2594, kb_relative_information_score: 380155.4792, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.5029, predictive_accuracy: 0.4287, prior_entropy: 2.8074, recall: 0.4287, relative_absolute_error: 0.6822, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4, root_relative_squared_error: 1.1432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.8692, kappa: 0.8278, kb_relative_information_score: 829587.7236, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8718, predictive_accuracy: 0.8688, prior_entropy: 2.8074, recall: 0.8688, relative_absolute_error: 0.2171, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1798, root_relative_squared_error: 0.5138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8151, f_measure: 0.6807, kappa: 0.5758, kb_relative_information_score: 639493.0949, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6976, predictive_accuracy: 0.6713, prior_entropy: 2.8074, recall: 0.6713, relative_absolute_error: 0.4221, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.8085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8167, f_measure: 0.4775, kappa: 0.4208, kb_relative_information_score: 487249.746, mean_absolute_error: 0.146, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.4609, predictive_accuracy: 0.5832, prior_entropy: 2.8074, recall: 0.5832, relative_absolute_error: 0.5961, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2702, root_relative_squared_error: 0.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.926, kappa: 0.9042, kb_relative_information_score: 912681.0093, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9258, predictive_accuracy: 0.9267, prior_entropy: 2.8074, recall: 0.9267, relative_absolute_error: 0.1171, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1265, root_relative_squared_error: 0.3615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2252, kb_relative_information_score: 348696.3873, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.1572, predictive_accuracy: 0.3965, prior_entropy: 2.8074, recall: 0.3965, relative_absolute_error: 0.7041, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4152, root_relative_squared_error: 1.1867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.8857, kappa: 0.8506, kb_relative_information_score: 853385.8429, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8902, predictive_accuracy: 0.8856, prior_entropy: 2.8074, recall: 0.8856, relative_absolute_error: 0.1849, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1653, root_relative_squared_error: 0.4723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7723, f_measure: 0.5996, kappa: 0.5282, kb_relative_information_score: 609894.5052, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.5865, predictive_accuracy: 0.6389, prior_entropy: 2.8074, ram_hours: 0, recall: 0.6389, relative_absolute_error: 0.4216, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3211, root_relative_squared_error: 0.9178, run_cpu_time: 8.2116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.917, kappa: 0.8922, kb_relative_information_score: 815995.7687, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9167, predictive_accuracy: 0.9174, prior_entropy: 2.8074, ram_hours: 0.0149, recall: 0.9174, relative_absolute_error: 0.2984, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.4377, run_cpu_time: 943.3825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9185, kappa: 0.8985, kb_relative_information_score: 910490.1853, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9192, predictive_accuracy: 0.9228, prior_entropy: 2.8074, ram_hours: 0.0008, recall: 0.9228, relative_absolute_error: 0.1211, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1264, root_relative_squared_error: 0.3612, run_cpu_time: 5261.0345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2252, kb_relative_information_score: 348336.3635, mean_absolute_error: 0.1725, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.1572, predictive_accuracy: 0.3965, prior_entropy: 2.8074, ram_hours: 0.0018, recall: 0.3965, relative_absolute_error: 0.7044, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4152, root_relative_squared_error: 1.1865, run_cpu_time: 61.8629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9183, kappa: 0.8982, kb_relative_information_score: 910477.5513, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9189, predictive_accuracy: 0.9226, prior_entropy: 2.8074, ram_hours: 0, recall: 0.9226, relative_absolute_error: 0.1211, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1264, root_relative_squared_error: 0.3613, run_cpu_time: 292.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.919, kappa: 0.8953, kb_relative_information_score: 343225.3609, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9193, predictive_accuracy: 0.92, prior_entropy: 2.8074, ram_hours: 0, recall: 0.92, relative_absolute_error: 0.8405, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3038, root_relative_squared_error: 0.8681, run_cpu_time: 23.7199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, f_measure: 0.4793, kappa: 0.3536, kb_relative_information_score: 480257.9387, mean_absolute_error: 0.1445, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.4737, predictive_accuracy: 0.5445, prior_entropy: 2.8074, ram_hours: 0.0002, recall: 0.5445, relative_absolute_error: 0.5899, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2805, root_relative_squared_error: 0.8017, run_cpu_time: 61.0292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.93, kappa: 0.9068, kb_relative_information_score: 917999.7257, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9327, predictive_accuracy: 0.9283, prior_entropy: 2.8074, ram_hours: 0, recall: 0.9283, relative_absolute_error: 0.1096, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1229, root_relative_squared_error: 0.3512, run_cpu_time: 29.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.8772, kappa: 0.8452, kb_relative_information_score: 853683.5227, mean_absolute_error: 0.0482, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8775, predictive_accuracy: 0.882, prior_entropy: 2.8074, ram_hours: 0, recall: 0.882, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1585, root_relative_squared_error: 0.453, run_cpu_time: 16.3057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9249, kappa: 0.9019, kb_relative_information_score: 848285.6719, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9254, predictive_accuracy: 0.9249, prior_entropy: 2.8074, ram_hours: 0.0009, recall: 0.9249, relative_absolute_error: 0.2448, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.401, run_cpu_time: 161.7436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2252, kb_relative_information_score: 348696.3873, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.1572, predictive_accuracy: 0.3965, prior_entropy: 2.8074, ram_hours: 0, recall: 0.3965, relative_absolute_error: 0.7041, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4152, root_relative_squared_error: 1.1867, run_cpu_time: 8.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9173, kappa: 0.891, kb_relative_information_score: 905614.3096, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9187, predictive_accuracy: 0.9164, prior_entropy: 2.8074, ram_hours: 0, recall: 0.9164, relative_absolute_error: 0.1225, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1342, root_relative_squared_error: 0.3835, run_cpu_time: 40.4474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2339, kappa: -0, kb_relative_information_score: 173182.1208, mean_absolute_error: 0.2189, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.2339, predictive_accuracy: 0.2339, prior_entropy: 2.8074, ram_hours: 0, recall: 0.2339, relative_absolute_error: 0.8938, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4679, root_relative_squared_error: 1.337, run_cpu_time: 7.0726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9257, kappa: 0.9022, kb_relative_information_score: 909415.3974, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9269, predictive_accuracy: 0.925, prior_entropy: 2.8074, ram_hours: 0.0008, recall: 0.925, relative_absolute_error: 0.1245, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1253, root_relative_squared_error: 0.3581, run_cpu_time: 191.2787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9206, kappa: 0.8941, kb_relative_information_score: 907393.0931, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9243, predictive_accuracy: 0.9186, prior_entropy: 2.8074, ram_hours: 0, recall: 0.9186, relative_absolute_error: 0.1229, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1303, root_relative_squared_error: 0.3722, run_cpu_time: 31.6542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.741, f_measure: 0.4863, kappa: 0.428, kb_relative_information_score: 552774.3109, mean_absolute_error: 0.1184, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.4546, predictive_accuracy: 0.5856, prior_entropy: 2.8074, ram_hours: 0, recall: 0.5856, relative_absolute_error: 0.4835, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3441, root_relative_squared_error: 0.9833, run_cpu_time: 6.3083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.2252, kappa: 0, kb_relative_information_score: 228698.2798, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.183, predictive_accuracy: 0.3965, prior_entropy: 2.8074, ram_hours: 0, recall: 0.3965, relative_absolute_error: 0.8936, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3308, root_relative_squared_error: 0.9454, run_cpu_time: 10.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7267, f_measure: 0.4701, kappa: 0.4029, kb_relative_information_score: 533219.964, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.4386, predictive_accuracy: 0.5675, prior_entropy: 2.8074, ram_hours: 0, recall: 0.5675, relative_absolute_error: 0.5046, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3515, root_relative_squared_error: 1.0046, run_cpu_time: 6.7161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.8857, kappa: 0.8506, kb_relative_information_score: 853385.8429, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8902, predictive_accuracy: 0.8856, prior_entropy: 2.8074, ram_hours: 0, recall: 0.8856, relative_absolute_error: 0.1849, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1653, root_relative_squared_error: 0.4723, run_cpu_time: 9.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9218, kappa: 0.8969, kb_relative_information_score: 910298.905, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9233, predictive_accuracy: 0.9209, prior_entropy: 2.8074, ram_hours: 0, recall: 0.9209, relative_absolute_error: 0.1178, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1298, root_relative_squared_error: 0.371, run_cpu_time: 35.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9256, kappa: 0.902, kb_relative_information_score: 910591.8251, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9269, predictive_accuracy: 0.9249, prior_entropy: 2.8074, ram_hours: 0.0008, recall: 0.9249, relative_absolute_error: 0.122, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1253, root_relative_squared_error: 0.358, run_cpu_time: 166.2169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6861, f_measure: 0.4087, kappa: 0.2347, kb_relative_information_score: 364233.2076, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.4017, predictive_accuracy: 0.458, prior_entropy: 2.8074, ram_hours: 0, recall: 0.458, relative_absolute_error: 0.7499, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.9293, run_cpu_time: 8.9056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9218, kappa: 0.8969, kb_relative_information_score: 910298.905, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.9233, predictive_accuracy: 0.9209, prior_entropy: 2.8074, ram_hours: 0, recall: 0.9209, relative_absolute_error: 0.1178, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1298, root_relative_squared_error: 0.371, run_cpu_time: 35.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2252, kb_relative_information_score: 348696.3873, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.1572, predictive_accuracy: 0.3965, prior_entropy: 2.8074, ram_hours: 0, recall: 0.3965, relative_absolute_error: 0.7041, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4152, root_relative_squared_error: 1.1867, run_cpu_time: 9.9051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.8855, kappa: 0.8511, kb_relative_information_score: 850261.7931, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.8858, predictive_accuracy: 0.8859, prior_entropy: 2.8074, ram_hours: 0.001, recall: 0.8859, relative_absolute_error: 0.2057, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.4526, run_cpu_time: 351.1423,

    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

    Given a dataset with a nominal target, various data samples of increasing size are defined. A model is build for each individual data sample; from this a learning curve can be drawn.

    Given inputs

    Expected outputs

    evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (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