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 meta_batchincremental.arff

Supervised Classification on meta_batchincremental.arff

Task 2273 Supervised Classification meta_batchincremental.arff 370 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • study_1 study_107 study_41 under100k under1m
Issue #Downvotes for this reason By


Metric:

370 Runs

Fetching data
Fetching data
Search runs in more detail run
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6581, build_cpu_time: 1.4237, build_memory: 1830356672, f_measure: 0.6203, kappa: 0.207, kb_relative_information_score: 17.5927, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5847, predictive_accuracy: 0.6622, prior_entropy: 1.3842, recall: 0.6622, relative_absolute_error: 0.6721, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.399, root_relative_squared_error: 1.1388, scimark_benchmark: 937.8022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7126, build_cpu_time: 0.6997, build_memory: 2383791260, f_measure: 0.5984, kappa: 0.1689, kb_relative_information_score: 13.3079, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5768, predictive_accuracy: 0.6216, prior_entropy: 1.3842, recall: 0.6216, relative_absolute_error: 0.7419, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.4193, root_relative_squared_error: 1.1967, scimark_benchmark: 949.8157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7021, build_cpu_time: 0.3972, build_memory: 373356006.9189, f_measure: 0.5931, kappa: 0.1501, kb_relative_information_score: 14.3044, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5685, predictive_accuracy: 0.6216, prior_entropy: 1.3842, recall: 0.6216, relative_absolute_error: 0.7294, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.4085, root_relative_squared_error: 1.1658, scimark_benchmark: 930.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7035, build_cpu_time: 0.1784, build_memory: 540998728.3243, f_measure: 0.5948, kappa: 0.1494, kb_relative_information_score: 14.2128, mean_absolute_error: 0.1872, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5719, predictive_accuracy: 0.6216, prior_entropy: 1.3842, recall: 0.6216, relative_absolute_error: 0.7432, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.4005, root_relative_squared_error: 1.143, scimark_benchmark: 920.2722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4902, build_cpu_time: 0.0676, build_memory: 280915546.8108, f_measure: 0.5386, kappa: -0.0288, kb_relative_information_score: -0.2242, mean_absolute_error: 0.2513, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4847, predictive_accuracy: 0.6216, prior_entropy: 1.3842, recall: 0.6216, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3834, root_relative_squared_error: 1.094, scimark_benchmark: 943.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.735, build_cpu_time: 0.0318, build_memory: 781097032.973, f_measure: 0.5929, kappa: 0.1286, kb_relative_information_score: 10.2059, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5553, predictive_accuracy: 0.6486, prior_entropy: 1.3842, recall: 0.6486, relative_absolute_error: 0.8358, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3363, root_relative_squared_error: 0.9597, scimark_benchmark: 892.0716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4357, build_cpu_time: 0.0352, build_memory: 226103609.8378, f_measure: 0.5189, kappa: -0.0606, kb_relative_information_score: -1.8788, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4721, predictive_accuracy: 0.5811, prior_entropy: 1.3842, recall: 0.5811, relative_absolute_error: 1.0229, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.4071, root_relative_squared_error: 1.1616, scimark_benchmark: 942.4411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5171, build_cpu_time: 0.0003, build_memory: 867035288, f_measure: 0.5079, kappa: -0.0122, kb_relative_information_score: -1.7137, mean_absolute_error: 0.2507, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5024, predictive_accuracy: 0.5135, prior_entropy: 1.3842, recall: 0.5135, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.4796, root_relative_squared_error: 1.3687, scimark_benchmark: 892.0716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0348, build_memory: 658856350.9189, f_measure: 0.5449, kb_relative_information_score: -8.2128, mean_absolute_error: 0.2894, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4565, predictive_accuracy: 0.6757, prior_entropy: 1.3842, recall: 0.6757, relative_absolute_error: 1.1489, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3696, root_relative_squared_error: 1.0548, scimark_benchmark: 945.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5062, build_cpu_time: 0.0272, build_memory: 461243942.4865, f_measure: 0.5509, kappa: 0.0232, kb_relative_information_score: -11.2754, mean_absolute_error: 0.2996, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5079, predictive_accuracy: 0.6081, prior_entropy: 1.3842, recall: 0.6081, relative_absolute_error: 1.1891, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3831, root_relative_squared_error: 1.0933, scimark_benchmark: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6036, build_cpu_time: 0.0659, build_memory: 610122337.0811, f_measure: 0.5445, kappa: 0.1072, kb_relative_information_score: 1.973, mean_absolute_error: 0.2378, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5685, predictive_accuracy: 0.527, prior_entropy: 1.3842, recall: 0.527, relative_absolute_error: 0.9439, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.4851, root_relative_squared_error: 1.3843, scimark_benchmark: 947.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, build_cpu_time: 0.0196, build_memory: 1040436501.1892, f_measure: 0.6322, kappa: 0.2207, kb_relative_information_score: 9.0238, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5914, predictive_accuracy: 0.6892, prior_entropy: 1.3842, recall: 0.6892, relative_absolute_error: 0.8839, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.9542, scimark_benchmark: 934.4754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, build_cpu_time: 0.0176, build_memory: 1040633114.2703, f_measure: 0.6322, kappa: 0.2207, kb_relative_information_score: 9.0238, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5914, predictive_accuracy: 0.6892, prior_entropy: 1.3842, recall: 0.6892, relative_absolute_error: 0.8839, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.9542, scimark_benchmark: 943.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5977, build_cpu_time: 0.0017, build_memory: 208799128, f_measure: 0.627, kappa: 0.2114, kb_relative_information_score: 19.2333, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5882, predictive_accuracy: 0.6757, prior_entropy: 1.3842, recall: 0.6757, relative_absolute_error: 0.6437, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.4027, root_relative_squared_error: 1.1492, scimark_benchmark: 943.9113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5977, build_cpu_time: 0.0017, build_memory: 308225030.0541, f_measure: 0.627, kappa: 0.2114, kb_relative_information_score: 19.2333, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5882, predictive_accuracy: 0.6757, prior_entropy: 1.3842, recall: 0.6757, relative_absolute_error: 0.6437, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.4027, root_relative_squared_error: 1.1492, scimark_benchmark: 946.5615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5977, build_cpu_time: 0.0012, build_memory: 467146256, f_measure: 0.627, kappa: 0.2114, kb_relative_information_score: 19.2333, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5882, predictive_accuracy: 0.6757, prior_entropy: 1.3842, recall: 0.6757, relative_absolute_error: 0.6437, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.4027, root_relative_squared_error: 1.1492, scimark_benchmark: 946.3269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5977, build_cpu_time: 0.002, build_memory: 516430251.8919, f_measure: 0.627, kappa: 0.2114, kb_relative_information_score: 19.2333, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5882, predictive_accuracy: 0.6757, prior_entropy: 1.3842, recall: 0.6757, relative_absolute_error: 0.6437, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.4027, root_relative_squared_error: 1.1492, scimark_benchmark: 927.6633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.414, build_memory: 927558632, f_measure: 0.5449, kb_relative_information_score: -0.4257, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4565, predictive_accuracy: 0.6757, prior_entropy: 1.3842, recall: 0.6757, relative_absolute_error: 1.0052, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3515, root_relative_squared_error: 1.0031, scimark_benchmark: 947.7747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.414, build_memory: 230282816, f_measure: 0.5449, kb_relative_information_score: -0.4257, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4565, predictive_accuracy: 0.6757, prior_entropy: 1.3842, recall: 0.6757, relative_absolute_error: 1.0052, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3515, root_relative_squared_error: 1.0031, scimark_benchmark: 943.2554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.414, build_cpu_time: 0.0006, build_memory: 702598034.5946, f_measure: 0.5449, kb_relative_information_score: -0.4257, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4565, predictive_accuracy: 0.6757, prior_entropy: 1.3842, recall: 0.6757, relative_absolute_error: 1.0052, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3515, root_relative_squared_error: 1.0031, scimark_benchmark: 949.9767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6455, build_cpu_time: 0.0013, build_memory: 427358999.3514, f_measure: 0.5326, kappa: 0.1393, kb_relative_information_score: 0.4946, mean_absolute_error: 0.2484, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.6039, predictive_accuracy: 0.5, prior_entropy: 1.3842, recall: 0.5, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.4828, root_relative_squared_error: 1.3779, scimark_benchmark: 947.7747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6455, build_cpu_time: 0.0012, build_memory: 412973990.7027, f_measure: 0.5326, kappa: 0.1393, kb_relative_information_score: 0.4946, mean_absolute_error: 0.2484, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.6039, predictive_accuracy: 0.5, prior_entropy: 1.3842, recall: 0.5, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.4828, root_relative_squared_error: 1.3779, scimark_benchmark: 946.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.621, build_cpu_time: 0.1886, build_memory: 921459264.7568, f_measure: 0.529, kappa: -0.0343, kb_relative_information_score: -14.2874, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4874, predictive_accuracy: 0.5811, prior_entropy: 1.3842, recall: 0.5811, relative_absolute_error: 1.2182, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3817, root_relative_squared_error: 1.0892, scimark_benchmark: 939.7809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.621, build_cpu_time: 0.2126, build_memory: 1446951114.3784, f_measure: 0.529, kappa: -0.0343, kb_relative_information_score: -14.2874, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4874, predictive_accuracy: 0.5811, prior_entropy: 1.3842, recall: 0.5811, relative_absolute_error: 1.2182, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3817, root_relative_squared_error: 1.0892, scimark_benchmark: 943.4668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6418, build_cpu_time: 0.4552, build_memory: 640263392.8649, f_measure: 0.5634, kappa: 0.0403, kb_relative_information_score: -13.9635, mean_absolute_error: 0.3059, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5158, predictive_accuracy: 0.6351, prior_entropy: 1.3842, recall: 0.6351, relative_absolute_error: 1.2142, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3789, root_relative_squared_error: 1.0812, scimark_benchmark: 921.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6418, build_cpu_time: 0.4071, build_memory: 962439068.973, f_measure: 0.5634, kappa: 0.0403, kb_relative_information_score: -13.9635, mean_absolute_error: 0.3059, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5158, predictive_accuracy: 0.6351, prior_entropy: 1.3842, recall: 0.6351, relative_absolute_error: 1.2142, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3789, root_relative_squared_error: 1.0812, scimark_benchmark: 919.3675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6405, build_cpu_time: 0.9774, build_memory: 440150571.8919, f_measure: 0.5509, kappa: 0.0232, kb_relative_information_score: -13.9633, mean_absolute_error: 0.3058, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5079, predictive_accuracy: 0.6081, prior_entropy: 1.3842, recall: 0.6081, relative_absolute_error: 1.2138, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3788, root_relative_squared_error: 1.081, scimark_benchmark: 895.5844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6405, build_cpu_time: 0.8806, build_memory: 796357196.8649, f_measure: 0.5509, kappa: 0.0232, kb_relative_information_score: -13.9633, mean_absolute_error: 0.3058, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5079, predictive_accuracy: 0.6081, prior_entropy: 1.3842, recall: 0.6081, relative_absolute_error: 1.2138, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3788, root_relative_squared_error: 1.081, scimark_benchmark: 937.2747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6434, build_cpu_time: 1.4297, build_memory: 967257053.8378, f_measure: 0.5463, kappa: 0.0019, kb_relative_information_score: -13.7713, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5005, predictive_accuracy: 0.6081, prior_entropy: 1.3842, recall: 0.6081, relative_absolute_error: 1.2116, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3781, root_relative_squared_error: 1.0791, scimark_benchmark: 921.6213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6468, build_cpu_time: 3.3146, build_memory: 1315967885.946, f_measure: 0.5509, kappa: 0.0232, kb_relative_information_score: -13.5101, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5079, predictive_accuracy: 0.6081, prior_entropy: 1.3842, recall: 0.6081, relative_absolute_error: 1.2092, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3772, root_relative_squared_error: 1.0765, scimark_benchmark: 944.9156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7176, build_cpu_time: 0.2574, build_memory: 766189873.9459, f_measure: 0.5422, kappa: -0.0117, kb_relative_information_score: 8.7718, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.4877, predictive_accuracy: 0.6216, prior_entropy: 1.3842, recall: 0.6216, relative_absolute_error: 0.8716, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3345, root_relative_squared_error: 0.9547, scimark_benchmark: 933.4451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, build_cpu_time: 0.0862, build_memory: 521888696, f_measure: 0.5719, kappa: 0.0605, kb_relative_information_score: 7.1055, mean_absolute_error: 0.227, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.525, predictive_accuracy: 0.6486, prior_entropy: 1.3842, recall: 0.6486, relative_absolute_error: 0.9011, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3396, root_relative_squared_error: 0.9692, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6621, build_cpu_time: 0.0057, build_memory: 744505536.6486, f_measure: 0.635, kappa: 0.2768, kb_relative_information_score: 10.5901, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.6145, predictive_accuracy: 0.6622, prior_entropy: 1.3842, recall: 0.6622, relative_absolute_error: 0.8395, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3539, root_relative_squared_error: 1.01, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6383, build_cpu_time: 0.0112, build_memory: 3497548894.7027, f_measure: 0.5913, kappa: 0.1484, kb_relative_information_score: 7.9703, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5637, predictive_accuracy: 0.6216, prior_entropy: 1.3842, recall: 0.6216, relative_absolute_error: 0.8744, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3562, root_relative_squared_error: 1.0165, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6915, build_cpu_time: 0.023, build_memory: 497468664.2162, f_measure: 0.5837, kappa: 0.1088, kb_relative_information_score: 9.1411, mean_absolute_error: 0.2137, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5463, predictive_accuracy: 0.6351, prior_entropy: 1.3842, recall: 0.6351, relative_absolute_error: 0.8483, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.9824, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6915, build_cpu_time: 0.0221, build_memory: 307549920.8649, f_measure: 0.5837, kappa: 0.1088, kb_relative_information_score: 9.1411, mean_absolute_error: 0.2137, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5463, predictive_accuracy: 0.6351, prior_entropy: 1.3842, recall: 0.6351, relative_absolute_error: 0.8483, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.9824, scimark_benchmark: 943.9066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.715, build_cpu_time: 0.0438, build_memory: 1321758274.8108, f_measure: 0.6119, kappa: 0.1748, kb_relative_information_score: 10.4167, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5771, predictive_accuracy: 0.6622, prior_entropy: 1.3842, recall: 0.6622, relative_absolute_error: 0.8359, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3361, root_relative_squared_error: 0.9592, scimark_benchmark: 931.0999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.735, build_cpu_time: 3.9505, build_memory: 1447812270.3784, f_measure: 0.6118, kappa: 0.1607, kb_relative_information_score: 9.5062, mean_absolute_error: 0.2147, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5721, predictive_accuracy: 0.6757, prior_entropy: 1.3842, recall: 0.6757, relative_absolute_error: 0.8523, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3338, root_relative_squared_error: 0.9526, scimark_benchmark: 939.6893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7214, build_cpu_time: 1.1028, build_memory: 1065254605.946, f_measure: 0.5719, kappa: 0.0605, kb_relative_information_score: 8.4976, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.525, predictive_accuracy: 0.6486, prior_entropy: 1.3842, recall: 0.6486, relative_absolute_error: 0.8671, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3359, root_relative_squared_error: 0.9584, scimark_benchmark: 921.6453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, build_cpu_time: 0.2657, build_memory: 936767108.1081, f_measure: 0.6118, kappa: 0.1607, kb_relative_information_score: 8.7363, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5721, predictive_accuracy: 0.6757, prior_entropy: 1.3842, recall: 0.6757, relative_absolute_error: 0.8686, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.9567, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6622, build_cpu_time: 0.0093, build_memory: 1494449925.946, f_measure: 0.666, kappa: 0.3099, kb_relative_information_score: 14.7077, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.6261, predictive_accuracy: 0.7162, prior_entropy: 1.3842, recall: 0.7162, relative_absolute_error: 0.7644, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3514, root_relative_squared_error: 1.0029, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7404, build_cpu_time: 0.8166, build_memory: 602427285.2973, f_measure: 0.5852, kappa: 0.1202, kb_relative_information_score: 8.8886, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5558, predictive_accuracy: 0.6216, prior_entropy: 1.3842, recall: 0.6216, relative_absolute_error: 0.8447, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.341, root_relative_squared_error: 0.9731, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6644, build_cpu_time: 0.0299, build_memory: 1285433268.1081, f_measure: 0.5899, kappa: 0.0967, kb_relative_information_score: 13.6134, mean_absolute_error: 0.1949, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.552, predictive_accuracy: 0.6622, prior_entropy: 1.3842, recall: 0.6622, relative_absolute_error: 0.7738, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3463, root_relative_squared_error: 0.9884, scimark_benchmark: 937.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6644, build_cpu_time: 0.0349, build_memory: 930747098.1622, f_measure: 0.5899, kappa: 0.0967, kb_relative_information_score: 13.6134, mean_absolute_error: 0.1949, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.552, predictive_accuracy: 0.6622, prior_entropy: 1.3842, recall: 0.6622, relative_absolute_error: 0.7738, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3463, root_relative_squared_error: 0.9884, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6944, build_cpu_time: 0.2164, build_memory: 770492370.3784, f_measure: 0.5689, kappa: 0.0447, kb_relative_information_score: 15.1419, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5257, predictive_accuracy: 0.6486, prior_entropy: 1.3842, recall: 0.6486, relative_absolute_error: 0.7539, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3417, root_relative_squared_error: 0.975, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6447, build_cpu_time: 0.1585, build_memory: 882005301.8378, f_measure: 0.5623, kappa: 0.1633, kb_relative_information_score: 4.6747, mean_absolute_error: 0.236, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5813, predictive_accuracy: 0.5676, prior_entropy: 1.3842, recall: 0.5676, relative_absolute_error: 0.9368, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3874, root_relative_squared_error: 1.1055, scimark_benchmark: 932.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6447, build_cpu_time: 0.1534, build_memory: 1701383295.5676, f_measure: 0.5623, kappa: 0.1633, kb_relative_information_score: 4.6747, mean_absolute_error: 0.236, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5813, predictive_accuracy: 0.5676, prior_entropy: 1.3842, recall: 0.5676, relative_absolute_error: 0.9368, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3874, root_relative_squared_error: 1.1055, scimark_benchmark: 905.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7003, build_cpu_time: 192.7561, build_memory: 918010543.8919, f_measure: 0.5484, kappa: 0.0199, kb_relative_information_score: 8.2982, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5116, predictive_accuracy: 0.5946, prior_entropy: 1.3842, recall: 0.5946, relative_absolute_error: 0.8433, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3603, root_relative_squared_error: 1.0283, scimark_benchmark: 876.8852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, build_cpu_time: 268.1069, build_memory: 889772579.1351, f_measure: 0.5623, kappa: 0.0571, kb_relative_information_score: 8.413, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.527, predictive_accuracy: 0.6081, prior_entropy: 1.3842, recall: 0.6081, relative_absolute_error: 0.8413, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3608, root_relative_squared_error: 1.0296, scimark_benchmark: 945.5575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6784, build_cpu_time: 0.0196, build_memory: 871108236.2162, f_measure: 0.5927, kappa: 0.119, kb_relative_information_score: 8.0062, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5516, predictive_accuracy: 0.6486, prior_entropy: 1.3842, recall: 0.6486, relative_absolute_error: 0.8793, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.9824, scimark_benchmark: 942.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6706, build_cpu_time: 0.0109, build_memory: 2640180882.2703, f_measure: 0.5927, kappa: 0.119, kb_relative_information_score: 7.3332, mean_absolute_error: 0.2238, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5516, predictive_accuracy: 0.6486, prior_entropy: 1.3842, recall: 0.6486, relative_absolute_error: 0.8886, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3466, root_relative_squared_error: 0.9891, scimark_benchmark: 942.9616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6706, build_cpu_time: 0.0084, build_memory: 397978583.5676, f_measure: 0.5927, kappa: 0.119, kb_relative_information_score: 7.3332, mean_absolute_error: 0.2238, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5516, predictive_accuracy: 0.6486, prior_entropy: 1.3842, recall: 0.6486, relative_absolute_error: 0.8886, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3466, root_relative_squared_error: 0.9891, scimark_benchmark: 943.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6572, build_cpu_time: 0.0045, build_memory: 367158741.0811, f_measure: 0.5927, kappa: 0.119, kb_relative_information_score: 6.5629, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5516, predictive_accuracy: 0.6486, prior_entropy: 1.3842, recall: 0.6486, relative_absolute_error: 0.8968, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3477, root_relative_squared_error: 0.9921, scimark_benchmark: 929.2431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6387, build_cpu_time: 0.002, build_memory: 1078521763.7838, f_measure: 0.6022, kappa: 0.1395, kb_relative_information_score: 5.9077, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5613, predictive_accuracy: 0.6622, prior_entropy: 1.3842, recall: 0.6622, relative_absolute_error: 0.9047, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3494, root_relative_squared_error: 0.9972, scimark_benchmark: 824.2652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6387, build_cpu_time: 0.0033, build_memory: 1869721816.4324, f_measure: 0.6022, kappa: 0.1395, kb_relative_information_score: 5.9077, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5613, predictive_accuracy: 0.6622, prior_entropy: 1.3842, recall: 0.6622, relative_absolute_error: 0.9047, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3494, root_relative_squared_error: 0.9972, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.626, build_cpu_time: 0.002, build_memory: 1911590852.973, f_measure: 0.5927, kappa: 0.119, kb_relative_information_score: 7.017, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5516, predictive_accuracy: 0.6486, prior_entropy: 1.3842, recall: 0.6486, relative_absolute_error: 0.8929, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.349, root_relative_squared_error: 0.996, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, build_cpu_time: 1.2687, build_memory: 2301752706.8108, f_measure: 0.5785, kappa: 0.1143, kb_relative_information_score: 7.6081, mean_absolute_error: 0.2179, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5523, predictive_accuracy: 0.6081, prior_entropy: 1.3842, recall: 0.6081, relative_absolute_error: 0.8648, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3637, root_relative_squared_error: 1.0378, scimark_benchmark: 821.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.695, build_cpu_time: 3.4369, build_memory: 356386065.6216, f_measure: 0.5736, kappa: 0.0976, kb_relative_information_score: 8.0824, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5437, predictive_accuracy: 0.6081, prior_entropy: 1.3842, recall: 0.6081, relative_absolute_error: 0.8541, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3541, root_relative_squared_error: 1.0106, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.705, build_cpu_time: 7.2208, build_memory: 86998528.6486, f_measure: 0.566, kappa: 0.0657, kb_relative_information_score: 8.8044, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5313, predictive_accuracy: 0.6081, prior_entropy: 1.3842, recall: 0.6081, relative_absolute_error: 0.8416, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3514, root_relative_squared_error: 1.0027, scimark_benchmark: 935.1851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7097, build_cpu_time: 11.9566, build_memory: 45006614.9189, f_measure: 0.5563, kappa: 0.0476, kb_relative_information_score: 9.159, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5236, predictive_accuracy: 0.5946, prior_entropy: 1.3842, recall: 0.5946, relative_absolute_error: 0.8414, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3512, root_relative_squared_error: 1.0022, scimark_benchmark: 939.9473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7089, build_cpu_time: 26.5144, build_memory: 1179074612.3243, f_measure: 0.5905, kappa: 0.126, kb_relative_information_score: 9.2286, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5531, predictive_accuracy: 0.6351, prior_entropy: 1.3842, recall: 0.6351, relative_absolute_error: 0.8372, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3509, root_relative_squared_error: 1.0012, scimark_benchmark: 946.7854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6909, build_cpu_time: 2.0166, build_memory: 402992101.5135, f_measure: 0.5539, kappa: 0.0244, kb_relative_information_score: 11.2538, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.498, predictive_accuracy: 0.6351, prior_entropy: 1.3842, recall: 0.6351, relative_absolute_error: 0.8338, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.9783, scimark_benchmark: 802.2762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6573, build_cpu_time: 0.5548, build_memory: 308998944.8649, f_measure: 0.5931, kappa: 0.1388, kb_relative_information_score: 5.6368, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5569, predictive_accuracy: 0.6351, prior_entropy: 1.3842, recall: 0.6351, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3561, root_relative_squared_error: 1.0163, scimark_benchmark: 942.8313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6573, build_cpu_time: 0.5224, build_memory: 712548854.9189, f_measure: 0.5931, kappa: 0.1388, kb_relative_information_score: 5.6368, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5569, predictive_accuracy: 0.6351, prior_entropy: 1.3842, recall: 0.6351, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3561, root_relative_squared_error: 1.0163, scimark_benchmark: 947.3799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6425, build_cpu_time: 0.3459, build_memory: 1540458218.9189, f_measure: 0.5765, kappa: 0.0936, kb_relative_information_score: 4.699, mean_absolute_error: 0.2294, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5386, predictive_accuracy: 0.6216, prior_entropy: 1.3842, recall: 0.6216, relative_absolute_error: 0.9106, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3599, root_relative_squared_error: 1.0271, scimark_benchmark: 946.5415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6205, build_cpu_time: 0.1525, build_memory: 1028444208.3243, f_measure: 0.5735, kappa: 0.1013, kb_relative_information_score: 2.5797, mean_absolute_error: 0.2367, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.5427, predictive_accuracy: 0.6081, prior_entropy: 1.3842, recall: 0.6081, relative_absolute_error: 0.9395, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.365, root_relative_squared_error: 1.0417, scimark_benchmark: 943.1417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5964, build_cpu_time: 0.0758, build_memory: 1375234981.946, f_measure: 0.5546, kappa: 0.0431, kb_relative_information_score: 0.179, mean_absolute_error: 0.2456, mean_prior_absolute_error: 0.2519, number_of_instances: 74, precision: 0.52, predictive_accuracy: 0.5946, prior_entropy: 1.3842, recall: 0.5946, relative_absolute_error: 0.975, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3743, root_relative_squared_error: 1.0683, scimark_benchmark: 894.7079,

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