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A PHP Error was encountered

Severity: Warning

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Filename: models/Log.php

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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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File: /var/www/openml/openml_OS/controllers/Frontend.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

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: 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 soybean

Supervised Classification on soybean

Task 271 Supervised Classification soybean 321 runs submitted
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321 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, build_cpu_time: 0.241, build_memory: 822257792, f_measure: 0.7797, kappa: 0.7873, kb_relative_information_score: 172.3052, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8162, predictive_accuracy: 0.8089, prior_entropy: 3.8572, recall: 0.8089, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.5533, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, build_cpu_time: 0.17, build_memory: 811559096, f_measure: 0.8781, kappa: 0.8718, kb_relative_information_score: 184.9362, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8924, predictive_accuracy: 0.8844, prior_entropy: 3.8572, recall: 0.8844, relative_absolute_error: 0.3086, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1023, root_relative_squared_error: 0.4684, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, build_cpu_time: 0.096, build_memory: 676425512, f_measure: 0.8781, kappa: 0.8718, kb_relative_information_score: 184.9362, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8924, predictive_accuracy: 0.8844, prior_entropy: 3.8572, recall: 0.8844, relative_absolute_error: 0.3086, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1023, root_relative_squared_error: 0.4684, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, build_cpu_time: 0.156, build_memory: 1051608872, f_measure: 0.8882, kappa: 0.8767, kb_relative_information_score: 185.1469, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9144, predictive_accuracy: 0.8889, prior_entropy: 3.8572, recall: 0.8889, relative_absolute_error: 0.3079, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1004, root_relative_squared_error: 0.4594, scimark_benchmark: 941.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, build_cpu_time: 0.491, build_memory: 1765201856, f_measure: 0.8909, kappa: 0.8865, kb_relative_information_score: 186.0009, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9115, predictive_accuracy: 0.8978, prior_entropy: 3.8572, recall: 0.8978, relative_absolute_error: 0.3031, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0979, root_relative_squared_error: 0.4482, scimark_benchmark: 929.0404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, build_cpu_time: 39.43, build_memory: 2565568432, f_measure: 0.8829, kappa: 0.8815, kb_relative_information_score: 180.6893, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9082, predictive_accuracy: 0.8933, prior_entropy: 3.8572, recall: 0.8933, relative_absolute_error: 0.3474, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1037, root_relative_squared_error: 0.4747, scimark_benchmark: 885.9298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, build_cpu_time: 20.181, build_memory: 1760358168, f_measure: 0.8744, kappa: 0.8765, kb_relative_information_score: 180.528, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9042, predictive_accuracy: 0.8889, prior_entropy: 3.8572, recall: 0.8889, relative_absolute_error: 0.3485, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1039, root_relative_squared_error: 0.4757, scimark_benchmark: 916.8552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, build_cpu_time: 11.227, build_memory: 1217322504, f_measure: 0.8744, kappa: 0.8765, kb_relative_information_score: 180.3939, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9042, predictive_accuracy: 0.8889, prior_entropy: 3.8572, recall: 0.8889, relative_absolute_error: 0.3498, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1043, root_relative_squared_error: 0.4774, scimark_benchmark: 940.7481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, build_cpu_time: 11.657, build_memory: 782554592, f_measure: 0.8744, kappa: 0.8765, kb_relative_information_score: 180.3939, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9042, predictive_accuracy: 0.8889, prior_entropy: 3.8572, recall: 0.8889, relative_absolute_error: 0.3498, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1043, root_relative_squared_error: 0.4774, scimark_benchmark: 914.4844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, build_cpu_time: 6.374, build_memory: 2170481712, f_measure: 0.8784, kappa: 0.8814, kb_relative_information_score: 180.1794, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9089, predictive_accuracy: 0.8933, prior_entropy: 3.8572, recall: 0.8933, relative_absolute_error: 0.3504, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.4803, scimark_benchmark: 939.4327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, build_cpu_time: 2.882, build_memory: 898895296, f_measure: 0.8951, kappa: 0.8914, kb_relative_information_score: 180.0375, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9164, predictive_accuracy: 0.9022, prior_entropy: 3.8572, recall: 0.9022, relative_absolute_error: 0.3534, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1053, root_relative_squared_error: 0.4822, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, build_cpu_time: 3.006, build_memory: 848444704, f_measure: 0.8951, kappa: 0.8914, kb_relative_information_score: 180.0375, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9164, predictive_accuracy: 0.9022, prior_entropy: 3.8572, recall: 0.9022, relative_absolute_error: 0.3534, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1053, root_relative_squared_error: 0.4822, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, build_cpu_time: 2.401, build_memory: 1294988240, f_measure: 0.8951, kappa: 0.8914, kb_relative_information_score: 180.0375, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9164, predictive_accuracy: 0.9022, prior_entropy: 3.8572, recall: 0.9022, relative_absolute_error: 0.3534, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.1053, root_relative_squared_error: 0.4822, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7263, build_cpu_time: 0.007, build_memory: 811472592, f_measure: 0.2948, kappa: 0.3148, kb_relative_information_score: 77.0318, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.283, predictive_accuracy: 0.3911, prior_entropy: 3.8572, recall: 0.3911, relative_absolute_error: 0.6727, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.2382, root_relative_squared_error: 1.0904, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7263, build_cpu_time: 0.006, build_memory: 665835296, f_measure: 0.2948, kappa: 0.3148, kb_relative_information_score: 77.0318, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.283, predictive_accuracy: 0.3911, prior_entropy: 3.8572, recall: 0.3911, relative_absolute_error: 0.6727, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.2382, root_relative_squared_error: 1.0904, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7263, build_cpu_time: 0.006, build_memory: 312143008, f_measure: 0.2948, kappa: 0.3148, kb_relative_information_score: 77.0318, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.283, predictive_accuracy: 0.3911, prior_entropy: 3.8572, recall: 0.3911, relative_absolute_error: 0.6727, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.2382, root_relative_squared_error: 1.0904, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7263, build_cpu_time: 0.004, build_memory: 811599048, f_measure: 0.2948, kappa: 0.3148, kb_relative_information_score: 77.0318, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.283, predictive_accuracy: 0.3911, prior_entropy: 3.8572, recall: 0.3911, relative_absolute_error: 0.6727, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.2382, root_relative_squared_error: 1.0904, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7562, build_cpu_time: 0.01, build_memory: 743885432, f_measure: 0.2948, kappa: 0.3148, kb_relative_information_score: 77.377, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.283, predictive_accuracy: 0.3911, prior_entropy: 3.8572, recall: 0.3911, relative_absolute_error: 0.6686, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.234, root_relative_squared_error: 1.0712, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7807, build_cpu_time: 0.015, build_memory: 434250352, f_measure: 0.2948, kappa: 0.3148, kb_relative_information_score: 80.0097, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.283, predictive_accuracy: 0.3911, prior_entropy: 3.8572, recall: 0.3911, relative_absolute_error: 0.6649, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.2226, root_relative_squared_error: 1.0189, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7807, build_cpu_time: 0.013, build_memory: 572107600, f_measure: 0.2948, kappa: 0.3148, kb_relative_information_score: 80.0097, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.283, predictive_accuracy: 0.3911, prior_entropy: 3.8572, recall: 0.3911, relative_absolute_error: 0.6649, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.2226, root_relative_squared_error: 1.0189, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7807, build_cpu_time: 0.034, build_memory: 1187028720, f_measure: 0.2948, kappa: 0.3148, kb_relative_information_score: 80.2053, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.283, predictive_accuracy: 0.3911, prior_entropy: 3.8572, recall: 0.3911, relative_absolute_error: 0.665, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.2225, root_relative_squared_error: 1.0186, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, build_cpu_time: 0.555, build_memory: 223335768, f_measure: 0.9271, kappa: 0.9212, kb_relative_information_score: 204.1788, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9319, predictive_accuracy: 0.9289, prior_entropy: 3.8572, recall: 0.9289, relative_absolute_error: 0.1218, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0739, root_relative_squared_error: 0.3384, scimark_benchmark: 943.2191,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, build_cpu_time: 0.065, build_memory: 240716696, f_measure: 0.911, kappa: 0.9017, kb_relative_information_score: 203.3405, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9301, predictive_accuracy: 0.9111, prior_entropy: 3.8572, recall: 0.9111, relative_absolute_error: 0.1252, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0834, root_relative_squared_error: 0.3817, scimark_benchmark: 939.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, build_cpu_time: 2963.72, build_memory: 2216262928, f_measure: 0.9163, kappa: 0.9113, kb_relative_information_score: 203.6951, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9248, predictive_accuracy: 0.92, prior_entropy: 3.8572, recall: 0.92, relative_absolute_error: 0.1334, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0763, root_relative_squared_error: 0.3492, scimark_benchmark: 941.5509,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, build_cpu_time: 1257.108, build_memory: 115964576, f_measure: 0.9004, kappa: 0.8965, kb_relative_information_score: 206.1995, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9122, predictive_accuracy: 0.9067, prior_entropy: 3.8572, recall: 0.9067, relative_absolute_error: 0.1119, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.3467, scimark_benchmark: 931.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, build_cpu_time: 1252.49, build_memory: 2328234688, f_measure: 0.9004, kappa: 0.8965, kb_relative_information_score: 206.1995, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9122, predictive_accuracy: 0.9067, prior_entropy: 3.8572, recall: 0.9067, relative_absolute_error: 0.1119, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.3467, scimark_benchmark: 939.7104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, build_cpu_time: 2.788, build_memory: 1232183624, f_measure: 0.8925, kappa: 0.8916, kb_relative_information_score: 197.1072, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9093, predictive_accuracy: 0.9022, prior_entropy: 3.8572, recall: 0.9022, relative_absolute_error: 0.1704, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0838, root_relative_squared_error: 0.3834, scimark_benchmark: 940.9419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, build_cpu_time: 5.803, build_memory: 2279388344, f_measure: 0.9006, kappa: 0.9014, kb_relative_information_score: 197.4667, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9177, predictive_accuracy: 0.9111, prior_entropy: 3.8572, recall: 0.9111, relative_absolute_error: 0.1712, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.3791, scimark_benchmark: 942.4621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, build_cpu_time: 1.127, build_memory: 100565416, f_measure: 0.8998, kappa: 0.9013, kb_relative_information_score: 198.5669, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9081, predictive_accuracy: 0.9111, prior_entropy: 3.8572, recall: 0.9111, relative_absolute_error: 0.1898, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0847, root_relative_squared_error: 0.3876, scimark_benchmark: 946.1813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, build_cpu_time: 0.978, build_memory: 106482264, f_measure: 0.8998, kappa: 0.9013, kb_relative_information_score: 198.5669, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9081, predictive_accuracy: 0.9111, prior_entropy: 3.8572, recall: 0.9111, relative_absolute_error: 0.1898, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0847, root_relative_squared_error: 0.3876, scimark_benchmark: 936.1139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, build_cpu_time: 0.578, build_memory: 62857992, f_measure: 0.8914, kappa: 0.8915, kb_relative_information_score: 198.254, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9005, predictive_accuracy: 0.9022, prior_entropy: 3.8572, recall: 0.9022, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0854, root_relative_squared_error: 0.391, scimark_benchmark: 934.5228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, build_cpu_time: 0.583, build_memory: 573442176, f_measure: 0.8914, kappa: 0.8915, kb_relative_information_score: 198.254, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9005, predictive_accuracy: 0.9022, prior_entropy: 3.8572, recall: 0.9022, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0854, root_relative_squared_error: 0.391, scimark_benchmark: 941.7281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, build_cpu_time: 0.293, build_memory: 1084881824, f_measure: 0.8882, kappa: 0.8914, kb_relative_information_score: 198.2132, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.9011, predictive_accuracy: 0.9022, prior_entropy: 3.8572, recall: 0.9022, relative_absolute_error: 0.1918, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0861, root_relative_squared_error: 0.3943, scimark_benchmark: 933.6994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, build_cpu_time: 0.136, build_memory: 28405384, f_measure: 0.8907, kappa: 0.8915, kb_relative_information_score: 196.4805, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8996, predictive_accuracy: 0.9022, prior_entropy: 3.8572, recall: 0.9022, relative_absolute_error: 0.1991, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.4129, scimark_benchmark: 899.6192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, build_cpu_time: 0.009, build_memory: 1184154672, f_measure: 0.8595, kappa: 0.8521, kb_relative_information_score: 194.3125, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0958, number_of_instances: 225, precision: 0.8653, predictive_accuracy: 0.8667, prior_entropy: 3.8572, recall: 0.8667, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.2185, root_mean_squared_error: 0.0974, root_relative_squared_error: 0.4459, scimark_benchmark: 897.7521,

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