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A PHP Error was encountered

Severity: Warning

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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
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Function: query

File: /var/www/openml/openml_OS/helpers/cms_helper.php
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Function: loadpage

File: /var/www/openml/index.php
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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

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Backtrace:

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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
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Function: query

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

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

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

OpenML
OpenML
Supervised Classification on puma8NH

Supervised Classification on puma8NH

Task 3681 Supervised Classification puma8NH 553 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
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, build_cpu_time: 9.0619, build_memory: 939807943.1748, f_measure: 0.806, kappa: 0.6121, kb_relative_information_score: 5019.558, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.806, predictive_accuracy: 0.806, prior_entropy: 1, recall: 0.806, relative_absolute_error: 0.3873, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.8543, scimark_benchmark: 916.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, build_cpu_time: 19.2762, build_memory: 811108344.7744, f_measure: 0.8131, kappa: 0.6262, kb_relative_information_score: 5126.7716, mean_absolute_error: 0.1872, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8131, predictive_accuracy: 0.8131, prior_entropy: 1, recall: 0.8131, relative_absolute_error: 0.3743, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.8535, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, build_cpu_time: 43.5593, build_memory: 710836155.6455, f_measure: 0.8168, kappa: 0.6335, kb_relative_information_score: 5194.0818, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8168, predictive_accuracy: 0.8168, prior_entropy: 1, recall: 0.8168, relative_absolute_error: 0.3659, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4241, root_relative_squared_error: 0.8483, scimark_benchmark: 943.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, build_cpu_time: 95.9723, build_memory: 282854611.749, f_measure: 0.821, kappa: 0.6421, kb_relative_information_score: 5257.2082, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8211, predictive_accuracy: 0.821, prior_entropy: 1, recall: 0.821, relative_absolute_error: 0.3583, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.8433, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7382, build_cpu_time: 5.0781, build_memory: 546983263.9619, f_measure: 0.7382, kappa: 0.4763, kb_relative_information_score: 3901.1148, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7382, predictive_accuracy: 0.7382, prior_entropy: 1, recall: 0.7382, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5116, root_relative_squared_error: 1.0233, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7382, build_cpu_time: 4.0566, build_memory: 259014287.0771, f_measure: 0.7382, kappa: 0.4763, kb_relative_information_score: 3901.1148, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7382, predictive_accuracy: 0.7382, prior_entropy: 1, recall: 0.7382, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5116, root_relative_squared_error: 1.0233, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7382, build_cpu_time: 4.4084, build_memory: 173115554.4951, f_measure: 0.7382, kappa: 0.4763, kb_relative_information_score: 3901.1148, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7382, predictive_accuracy: 0.7382, prior_entropy: 1, recall: 0.7382, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5116, root_relative_squared_error: 1.0233, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, build_cpu_time: 4.636, build_memory: 260960411.4258, f_measure: 0.7537, kappa: 0.5075, kb_relative_information_score: 2907.5314, mean_absolute_error: 0.3395, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.754, predictive_accuracy: 0.7538, prior_entropy: 1, recall: 0.7538, relative_absolute_error: 0.6789, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8154, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.859, build_cpu_time: 102.5068, build_memory: 2128046820.9248, f_measure: 0.8093, kappa: 0.6186, kb_relative_information_score: 5071.4597, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8093, predictive_accuracy: 0.8093, prior_entropy: 1, recall: 0.8093, relative_absolute_error: 0.3809, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4264, root_relative_squared_error: 0.8529, scimark_benchmark: 940.9619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, build_cpu_time: 53.6682, build_memory: 1289105876.9688, f_measure: 0.8024, kappa: 0.6047, kb_relative_information_score: 4953.2721, mean_absolute_error: 0.1979, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8024, predictive_accuracy: 0.8024, prior_entropy: 1, recall: 0.8024, relative_absolute_error: 0.3957, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8558, scimark_benchmark: 911.2061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, build_cpu_time: 26.1366, build_memory: 910580866.6211, f_measure: 0.7933, kappa: 0.5867, kb_relative_information_score: 4787.4217, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7933, predictive_accuracy: 0.7933, prior_entropy: 1, recall: 0.7933, relative_absolute_error: 0.416, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.8549, scimark_benchmark: 930.7694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, build_cpu_time: 1.5544, build_memory: 651219434.9063, f_measure: 0.7855, kappa: 0.5718, kb_relative_information_score: 3296.524, mean_absolute_error: 0.3179, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7884, predictive_accuracy: 0.786, prior_entropy: 1, recall: 0.786, relative_absolute_error: 0.6357, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8, scimark_benchmark: 935.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, build_cpu_time: 3.9653, build_memory: 232219730.2871, f_measure: 0.8203, kappa: 0.6406, kb_relative_information_score: 4534.8047, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8205, predictive_accuracy: 0.8203, prior_entropy: 1, recall: 0.8203, relative_absolute_error: 0.4688, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.356, root_relative_squared_error: 0.712, scimark_benchmark: 919.5281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8622, build_cpu_time: 0.0365, build_memory: 1553555437.8125, f_measure: 0.8059, kappa: 0.6122, kb_relative_information_score: 3393.9924, mean_absolute_error: 0.3134, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8075, predictive_accuracy: 0.8062, prior_entropy: 1, recall: 0.8062, relative_absolute_error: 0.6267, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3825, root_relative_squared_error: 0.765, scimark_benchmark: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, build_cpu_time: 4.8091, build_memory: 814137778.8955, f_measure: 0.8313, kappa: 0.6626, kb_relative_information_score: 4463.5121, mean_absolute_error: 0.2405, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8315, predictive_accuracy: 0.8313, prior_entropy: 1, recall: 0.8313, relative_absolute_error: 0.4809, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3487, root_relative_squared_error: 0.6973, scimark_benchmark: 942.4411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8525, build_cpu_time: 1.2707, build_memory: 848965925.3252, f_measure: 0.8234, kappa: 0.6469, kb_relative_information_score: 4105.4997, mean_absolute_error: 0.2688, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8238, predictive_accuracy: 0.8235, prior_entropy: 1, recall: 0.8235, relative_absolute_error: 0.5375, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.373, root_relative_squared_error: 0.7459, scimark_benchmark: 875.7999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7382, build_cpu_time: 0.0015, build_memory: 1387420457.8447, f_measure: 0.7382, kappa: 0.4763, kb_relative_information_score: 3901.1148, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7382, predictive_accuracy: 0.7382, prior_entropy: 1, recall: 0.7382, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5116, root_relative_squared_error: 1.0233, scimark_benchmark: 931.9838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, build_cpu_time: 70.0568, build_memory: 508445005.5176, f_measure: 0.8247, kappa: 0.6494, kb_relative_information_score: 5319.92, mean_absolute_error: 0.1753, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8248, predictive_accuracy: 0.8247, prior_entropy: 1, recall: 0.8247, relative_absolute_error: 0.3506, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4187, root_relative_squared_error: 0.8374, scimark_benchmark: 931.9838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, build_cpu_time: 2.0215, build_memory: 196169913.9023, f_measure: 0.8252, kappa: 0.6504, kb_relative_information_score: 5327.9202, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8252, predictive_accuracy: 0.8252, prior_entropy: 1, recall: 0.8252, relative_absolute_error: 0.3496, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4181, root_relative_squared_error: 0.8362, scimark_benchmark: 928.1083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, build_cpu_time: 0.4897, build_memory: 206935627.6123, f_measure: 0.8272, kappa: 0.6546, kb_relative_information_score: 5361.9211, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8277, predictive_accuracy: 0.8273, prior_entropy: 1, recall: 0.8273, relative_absolute_error: 0.3455, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.8312, scimark_benchmark: 948.6597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, build_cpu_time: 0.1254, build_memory: 146412237.4697, f_measure: 0.8258, kappa: 0.6516, kb_relative_information_score: 3271.2174, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8258, predictive_accuracy: 0.8258, prior_entropy: 1, recall: 0.8258, relative_absolute_error: 0.6449, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3912, root_relative_squared_error: 0.7825, scimark_benchmark: 926.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, build_cpu_time: 0.6404, build_memory: 778184220.3096, f_measure: 0.8261, kappa: 0.6523, kb_relative_information_score: 4527.3871, mean_absolute_error: 0.2354, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8263, predictive_accuracy: 0.8262, prior_entropy: 1, recall: 0.8262, relative_absolute_error: 0.4709, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3515, root_relative_squared_error: 0.703, scimark_benchmark: 943.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, build_cpu_time: 0.3135, build_memory: 216415345.7373, f_measure: 0.7439, kappa: 0.4877, kb_relative_information_score: 2887.7679, mean_absolute_error: 0.3398, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.744, predictive_accuracy: 0.7439, prior_entropy: 1, recall: 0.7439, relative_absolute_error: 0.6797, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.821, scimark_benchmark: 943.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6633, build_cpu_time: 0.0345, build_memory: 839791384.2969, f_measure: 0.663, kappa: 0.3266, kb_relative_information_score: 2673.8463, mean_absolute_error: 0.3368, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.6638, predictive_accuracy: 0.6632, prior_entropy: 1, recall: 0.6632, relative_absolute_error: 0.6736, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5803, root_relative_squared_error: 1.1607, scimark_benchmark: 893.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, build_cpu_time: 0.177, build_memory: 730666303.1836, f_measure: 0.8255, kappa: 0.6511, kb_relative_information_score: 4381.0464, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8258, predictive_accuracy: 0.8256, prior_entropy: 1, recall: 0.8256, relative_absolute_error: 0.4976, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.7308, scimark_benchmark: 945.6567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, build_cpu_time: 0.0011, build_memory: 1089291170.5723, f_measure: 0.3358, kb_relative_information_score: -0.0013, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.2522, predictive_accuracy: 0.5022, prior_entropy: 1, recall: 0.5022, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 922.5645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, build_cpu_time: 0.001, build_memory: 171627640.8096, f_measure: 0.3358, kb_relative_information_score: -0.0013, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.2522, predictive_accuracy: 0.5022, prior_entropy: 1, recall: 0.5022, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 949.9767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, build_cpu_time: 0.023, build_memory: 436682930.1455, f_measure: 0.8262, kappa: 0.6523, kb_relative_information_score: 3070.6049, mean_absolute_error: 0.3356, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8262, predictive_accuracy: 0.8262, prior_entropy: 1, recall: 0.8262, relative_absolute_error: 0.6712, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.7893, scimark_benchmark: 945.6567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, build_cpu_time: 0.0228, build_memory: 302031036.9316, f_measure: 0.8262, kappa: 0.6523, kb_relative_information_score: 3070.6049, mean_absolute_error: 0.3356, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8262, predictive_accuracy: 0.8262, prior_entropy: 1, recall: 0.8262, relative_absolute_error: 0.6712, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.7893, scimark_benchmark: 940.3415,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, build_cpu_time: 0.0231, build_memory: 152031621.1289, f_measure: 0.8262, kappa: 0.6523, kb_relative_information_score: 3070.6049, mean_absolute_error: 0.3356, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8262, predictive_accuracy: 0.8262, prior_entropy: 1, recall: 0.8262, relative_absolute_error: 0.6712, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.7893, scimark_benchmark: 922.5645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7546, build_cpu_time: 0.1509, build_memory: 2005376456.3906, f_measure: 0.7546, kappa: 0.5092, kb_relative_information_score: 4171.888, mean_absolute_error: 0.2454, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.7547, predictive_accuracy: 0.7546, prior_entropy: 1, recall: 0.7546, relative_absolute_error: 0.4907, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4953, root_relative_squared_error: 0.9907, scimark_benchmark: 941.9153,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, build_cpu_time: 8.8894, build_memory: 90108904.0313, f_measure: 0.8295, kappa: 0.6591, kb_relative_information_score: 5323.3598, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.83, predictive_accuracy: 0.8296, prior_entropy: 1, recall: 0.8296, relative_absolute_error: 0.3523, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3834, root_relative_squared_error: 0.7668, scimark_benchmark: 945.8425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, build_cpu_time: 4.3178, build_memory: 759412211.4111, f_measure: 0.822, kappa: 0.644, kb_relative_information_score: 5233.4663, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8221, predictive_accuracy: 0.822, prior_entropy: 1, recall: 0.822, relative_absolute_error: 0.3629, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.7837, scimark_benchmark: 941.8931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, build_cpu_time: 297.0775, build_memory: 1150289805.7598, f_measure: 0.8317, kappa: 0.6637, kb_relative_information_score: 4253.9243, mean_absolute_error: 0.2589, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8331, predictive_accuracy: 0.8319, prior_entropy: 1, recall: 0.8319, relative_absolute_error: 0.5178, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.348, root_relative_squared_error: 0.6961, scimark_benchmark: 726.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, build_cpu_time: 384.579, build_memory: 442644013.5527, f_measure: 0.8324, kappa: 0.665, kb_relative_information_score: 4255.574, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8335, predictive_accuracy: 0.8325, prior_entropy: 1, recall: 0.8325, relative_absolute_error: 0.5179, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.6944, scimark_benchmark: 924.6858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, build_cpu_time: 29.8911, build_memory: 615077871.4902, f_measure: 0.832, kappa: 0.664, kb_relative_information_score: 4581.071, mean_absolute_error: 0.2322, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8322, predictive_accuracy: 0.832, prior_entropy: 1, recall: 0.832, relative_absolute_error: 0.4644, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3478, root_relative_squared_error: 0.6956, scimark_benchmark: 946.6837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, build_cpu_time: 14.3859, build_memory: 110956998.292, f_measure: 0.8308, kappa: 0.6616, kb_relative_information_score: 4579.7738, mean_absolute_error: 0.2321, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8309, predictive_accuracy: 0.8308, prior_entropy: 1, recall: 0.8308, relative_absolute_error: 0.4643, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3486, root_relative_squared_error: 0.6973, scimark_benchmark: 924.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, build_cpu_time: 7.239, build_memory: 4992507642.0547, f_measure: 0.8294, kappa: 0.6589, kb_relative_information_score: 4577.4198, mean_absolute_error: 0.2321, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8296, predictive_accuracy: 0.8295, prior_entropy: 1, recall: 0.8295, relative_absolute_error: 0.4643, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3494, root_relative_squared_error: 0.6987, scimark_benchmark: 914.9744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, build_cpu_time: 3.8704, build_memory: 1425333351.6113, f_measure: 0.8274, kappa: 0.6548, kb_relative_information_score: 4564.7518, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8274, predictive_accuracy: 0.8274, prior_entropy: 1, recall: 0.8274, relative_absolute_error: 0.4649, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.352, root_relative_squared_error: 0.704, scimark_benchmark: 909.6894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, build_cpu_time: 3.6902, build_memory: 3556224800.8897, f_measure: 0.8274, kappa: 0.6548, kb_relative_information_score: 4564.7518, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.5, number_of_instances: 8192, precision: 0.8274, predictive_accuracy: 0.8274, prior_entropy: 1, recall: 0.8274, relative_absolute_error: 0.4649, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.352, root_relative_squared_error: 0.704, scimark_benchmark: 908.5638,

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