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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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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
Line: 117
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 visualizing_ethanol

Supervised Classification on visualizing_ethanol

Task 3809 Supervised Classification visualizing_ethanol 538 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.539, build_cpu_time: 0.0125, build_memory: 1052066875.0909, f_measure: 0.5668, kappa: 0.1341, kb_relative_information_score: 3.4263, mean_absolute_error: 0.4852, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5678, predictive_accuracy: 0.5682, prior_entropy: 0.9996, recall: 0.5682, relative_absolute_error: 0.9708, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5482, root_relative_squared_error: 1.0966, scimark_benchmark: 902.712,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.539, build_cpu_time: 0.0066, build_memory: 360559926.2727, f_measure: 0.5668, kappa: 0.1341, kb_relative_information_score: 3.4263, mean_absolute_error: 0.4852, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5678, predictive_accuracy: 0.5682, prior_entropy: 0.9996, recall: 0.5682, relative_absolute_error: 0.9708, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5482, root_relative_squared_error: 1.0966, scimark_benchmark: 935.6292,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5367, build_cpu_time: 0.009, build_memory: 1064682219.9091, f_measure: 0.544, kappa: 0.0886, kb_relative_information_score: 3.1001, mean_absolute_error: 0.4868, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5449, predictive_accuracy: 0.5455, prior_entropy: 0.9996, recall: 0.5455, relative_absolute_error: 0.974, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.55, root_relative_squared_error: 1.1003, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4103, build_cpu_time: 0.0015, build_memory: 1493414840, f_measure: 0.4148, kappa: -0.1452, kb_relative_information_score: -4.6162, mean_absolute_error: 0.5211, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.4194, predictive_accuracy: 0.4318, prior_entropy: 0.9996, recall: 0.4318, relative_absolute_error: 1.0427, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5358, root_relative_squared_error: 1.0718, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4103, build_cpu_time: 0.0017, build_memory: 933000506.1818, f_measure: 0.4148, kappa: -0.1452, kb_relative_information_score: -4.6162, mean_absolute_error: 0.5211, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.4194, predictive_accuracy: 0.4318, prior_entropy: 0.9996, recall: 0.4318, relative_absolute_error: 1.0427, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5358, root_relative_squared_error: 1.0718, scimark_benchmark: 916.1588,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.462, build_cpu_time: 0.018, build_memory: 407274743.5455, f_measure: 0.4657, kappa: -0.0671, kb_relative_information_score: -5.9613, mean_absolute_error: 0.5333, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.4666, predictive_accuracy: 0.4659, prior_entropy: 0.9996, recall: 0.4659, relative_absolute_error: 1.067, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7219, root_relative_squared_error: 1.4441, scimark_benchmark: 919.8064,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5581, build_cpu_time: 0.0179, build_memory: 36472682.4545, f_measure: 0.5569, kappa: 0.1136, kb_relative_information_score: 6.8684, mean_absolute_error: 0.4661, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5571, predictive_accuracy: 0.5568, prior_entropy: 0.9996, recall: 0.5568, relative_absolute_error: 0.9327, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5672, root_relative_squared_error: 1.1347, scimark_benchmark: 941.1732,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3873, build_cpu_time: 0.0013, build_memory: 9428804.9091, f_measure: 0.4148, kappa: -0.1452, kb_relative_information_score: -7.0204, mean_absolute_error: 0.535, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.4194, predictive_accuracy: 0.4318, prior_entropy: 0.9996, recall: 0.4318, relative_absolute_error: 1.0705, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.563, root_relative_squared_error: 1.1264, scimark_benchmark: 917.7869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4486, build_cpu_time: 0.0002, build_memory: 435518768, f_measure: 0.346, kb_relative_information_score: -0.1348, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.2615, predictive_accuracy: 0.5114, prior_entropy: 0.9996, recall: 0.5114, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0011, scimark_benchmark: 946.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5499, build_cpu_time: 0.0004, build_memory: 177584952, f_measure: 0.5222, kappa: 0.0469, kb_relative_information_score: 2.1868, mean_absolute_error: 0.49, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5239, predictive_accuracy: 0.5227, prior_entropy: 0.9996, recall: 0.5227, relative_absolute_error: 0.9804, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0063, scimark_benchmark: 922.2602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5638, build_cpu_time: 0.0284, build_memory: 202696597, f_measure: 0.5787, kappa: 0.1574, kb_relative_information_score: 7.464, mean_absolute_error: 0.4625, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5793, predictive_accuracy: 0.5795, prior_entropy: 0.9996, recall: 0.5795, relative_absolute_error: 0.9255, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5589, root_relative_squared_error: 1.1181, scimark_benchmark: 943.4668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5584, build_cpu_time: 0.0343, build_memory: 593078628.9091, f_measure: 0.5761, kappa: 0.1556, kb_relative_information_score: 6.0543, mean_absolute_error: 0.4682, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5801, predictive_accuracy: 0.5795, prior_entropy: 0.9996, recall: 0.5795, relative_absolute_error: 0.9368, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5635, root_relative_squared_error: 1.1272, scimark_benchmark: 931.4894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5584, build_cpu_time: 0.0324, build_memory: 625405149.0909, f_measure: 0.5761, kappa: 0.1556, kb_relative_information_score: 6.0543, mean_absolute_error: 0.4682, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5801, predictive_accuracy: 0.5795, prior_entropy: 0.9996, recall: 0.5795, relative_absolute_error: 0.9368, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5635, root_relative_squared_error: 1.1272, scimark_benchmark: 926.9748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5625, build_cpu_time: 0.086, build_memory: 666109482.6364, f_measure: 0.5532, kappa: 0.11, kb_relative_information_score: 5.8415, mean_absolute_error: 0.4699, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5566, predictive_accuracy: 0.5568, prior_entropy: 0.9996, recall: 0.5568, relative_absolute_error: 0.9402, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.544, root_relative_squared_error: 1.0883, scimark_benchmark: 933.1047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5509, build_cpu_time: 0.1654, build_memory: 693299032.6364, f_measure: 0.5455, kappa: 0.0904, kb_relative_information_score: 5.0874, mean_absolute_error: 0.4739, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5455, predictive_accuracy: 0.5455, prior_entropy: 0.9996, recall: 0.5455, relative_absolute_error: 0.9482, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5443, root_relative_squared_error: 1.0889, scimark_benchmark: 941.6933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5512, build_cpu_time: 0.3621, build_memory: 888320216.7273, f_measure: 0.5339, kappa: 0.0691, kb_relative_information_score: 4.5167, mean_absolute_error: 0.4763, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.535, predictive_accuracy: 0.5341, prior_entropy: 0.9996, recall: 0.5341, relative_absolute_error: 0.953, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5519, root_relative_squared_error: 1.1041, scimark_benchmark: 945.8947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5444, build_cpu_time: 0.5738, build_memory: 1061086418.9091, f_measure: 0.5227, kappa: 0.0459, kb_relative_information_score: 4.1271, mean_absolute_error: 0.4788, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5233, predictive_accuracy: 0.5227, prior_entropy: 0.9996, recall: 0.5227, relative_absolute_error: 0.958, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5487, root_relative_squared_error: 1.0976, scimark_benchmark: 944.9156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5602, build_cpu_time: 0.0333, build_memory: 2085829241.2727, f_measure: 0.5566, kappa: 0.1127, kb_relative_information_score: 3.9784, mean_absolute_error: 0.482, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5566, predictive_accuracy: 0.5568, prior_entropy: 0.9996, recall: 0.5568, relative_absolute_error: 0.9644, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.0331, scimark_benchmark: 938.5838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5602, build_cpu_time: 0.036, build_memory: 504813756, f_measure: 0.5566, kappa: 0.1127, kb_relative_information_score: 3.9784, mean_absolute_error: 0.482, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5566, predictive_accuracy: 0.5568, prior_entropy: 0.9996, recall: 0.5568, relative_absolute_error: 0.9644, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.0331, scimark_benchmark: 946.7087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5587, build_cpu_time: 0.0166, build_memory: 1257959601.0909, f_measure: 0.5796, kappa: 0.1591, kb_relative_information_score: 4.1812, mean_absolute_error: 0.4811, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5798, predictive_accuracy: 0.5795, prior_entropy: 0.9996, recall: 0.5795, relative_absolute_error: 0.9627, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.0331, scimark_benchmark: 944.2422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5793, build_cpu_time: 0.0094, build_memory: 681778201.9091, f_measure: 0.5569, kappa: 0.1136, kb_relative_information_score: 5.1871, mean_absolute_error: 0.4752, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5571, predictive_accuracy: 0.5568, prior_entropy: 0.9996, recall: 0.5568, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5117, root_relative_squared_error: 1.0237, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5845, build_cpu_time: 0.0046, build_memory: 1248031670.7273, f_measure: 0.545, kappa: 0.0923, kb_relative_information_score: 5.2489, mean_absolute_error: 0.4746, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5468, predictive_accuracy: 0.5455, prior_entropy: 0.9996, recall: 0.5455, relative_absolute_error: 0.9496, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5124, root_relative_squared_error: 1.0252, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5687, build_cpu_time: 0.0055, build_memory: 520744138.2727, f_measure: 0.5569, kappa: 0.1136, kb_relative_information_score: 8.1485, mean_absolute_error: 0.4574, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5571, predictive_accuracy: 0.5568, prior_entropy: 0.9996, recall: 0.5568, relative_absolute_error: 0.9152, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5609, root_relative_squared_error: 1.1221, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.585, build_cpu_time: 0.0219, build_memory: 1013824068.1818, f_measure: 0.5794, kappa: 0.16, kb_relative_information_score: 8.8126, mean_absolute_error: 0.4534, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5806, predictive_accuracy: 0.5795, prior_entropy: 0.9996, recall: 0.5795, relative_absolute_error: 0.9073, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5592, root_relative_squared_error: 1.1187, scimark_benchmark: 941.0866,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5913, build_cpu_time: 1.9194, build_memory: 2229680651.6364, f_measure: 0.5796, kappa: 0.1591, kb_relative_information_score: 8.1362, mean_absolute_error: 0.4589, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5798, predictive_accuracy: 0.5795, prior_entropy: 0.9996, recall: 0.5795, relative_absolute_error: 0.9183, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.534, root_relative_squared_error: 1.0682, scimark_benchmark: 930.6943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6008, build_cpu_time: 0.4912, build_memory: 748991137.7273, f_measure: 0.5909, kappa: 0.1814, kb_relative_information_score: 9.2538, mean_absolute_error: 0.4531, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5909, predictive_accuracy: 0.5909, prior_entropy: 0.9996, recall: 0.5909, relative_absolute_error: 0.9066, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5262, root_relative_squared_error: 1.0527, scimark_benchmark: 921.2344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6031, build_cpu_time: 0.1437, build_memory: 959179515.5455, f_measure: 0.545, kappa: 0.0895, kb_relative_information_score: 8.8107, mean_absolute_error: 0.4539, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5451, predictive_accuracy: 0.5455, prior_entropy: 0.9996, recall: 0.5455, relative_absolute_error: 0.9083, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5303, root_relative_squared_error: 1.0608, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5824, build_cpu_time: 0.001, build_memory: 1196764787.2727, f_measure: 0.5532, kappa: 0.11, kb_relative_information_score: 9.2758, mean_absolute_error: 0.4489, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5566, predictive_accuracy: 0.5568, prior_entropy: 0.9996, recall: 0.5568, relative_absolute_error: 0.8982, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5672, root_relative_squared_error: 1.1347, scimark_benchmark: 942.3187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5824, build_cpu_time: 0.001, build_memory: 618992228, f_measure: 0.5532, kappa: 0.11, kb_relative_information_score: 9.2758, mean_absolute_error: 0.4489, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5566, predictive_accuracy: 0.5568, prior_entropy: 0.9996, recall: 0.5568, relative_absolute_error: 0.8982, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5672, root_relative_squared_error: 1.1347, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5824, build_cpu_time: 0.0011, build_memory: 395057021.1818, f_measure: 0.5532, kappa: 0.11, kb_relative_information_score: 9.2758, mean_absolute_error: 0.4489, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5566, predictive_accuracy: 0.5568, prior_entropy: 0.9996, recall: 0.5568, relative_absolute_error: 0.8982, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5672, root_relative_squared_error: 1.1347, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6194, build_cpu_time: 0.002, build_memory: 565609169.7273, f_measure: 0.544, kappa: 0.0886, kb_relative_information_score: 11.6095, mean_absolute_error: 0.433, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5449, predictive_accuracy: 0.5455, prior_entropy: 0.9996, recall: 0.5455, relative_absolute_error: 0.8663, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5472, root_relative_squared_error: 1.0947, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6194, build_cpu_time: 0.0021, build_memory: 651060950.1818, f_measure: 0.544, kappa: 0.0886, kb_relative_information_score: 11.6095, mean_absolute_error: 0.433, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5449, predictive_accuracy: 0.5455, prior_entropy: 0.9996, recall: 0.5455, relative_absolute_error: 0.8663, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5472, root_relative_squared_error: 1.0947, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4752, build_cpu_time: 0.0396, build_memory: 466747887.0909, f_measure: 0.4112, kappa: 0.0485, kb_relative_information_score: 2.0498, mean_absolute_error: 0.4884, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.6343, predictive_accuracy: 0.5341, prior_entropy: 0.9996, recall: 0.5341, relative_absolute_error: 0.9774, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9969, scimark_benchmark: 926.9727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4752, build_cpu_time: 0.0376, build_memory: 951673541.5455, f_measure: 0.4112, kappa: 0.0485, kb_relative_information_score: 2.0498, mean_absolute_error: 0.4884, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.6343, predictive_accuracy: 0.5341, prior_entropy: 0.9996, recall: 0.5341, relative_absolute_error: 0.9774, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9969, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6202, build_cpu_time: 0.0042, build_memory: 952006261, f_measure: 0.5212, kappa: 0.043, kb_relative_information_score: 10.9399, mean_absolute_error: 0.4369, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5219, predictive_accuracy: 0.5227, prior_entropy: 0.9996, recall: 0.5227, relative_absolute_error: 0.8743, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5427, root_relative_squared_error: 1.0856, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6103, build_cpu_time: 0.0075, build_memory: 1441449803.8182, f_measure: 0.5091, kappa: 0.0197, kb_relative_information_score: 9.9821, mean_absolute_error: 0.4422, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5102, predictive_accuracy: 0.5114, prior_entropy: 0.9996, recall: 0.5114, relative_absolute_error: 0.8848, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5462, root_relative_squared_error: 1.0928, scimark_benchmark: 937.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6103, build_cpu_time: 0.008, build_memory: 1017475639.6364, f_measure: 0.5091, kappa: 0.0197, kb_relative_information_score: 9.9821, mean_absolute_error: 0.4422, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5102, predictive_accuracy: 0.5114, prior_entropy: 0.9996, recall: 0.5114, relative_absolute_error: 0.8848, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5462, root_relative_squared_error: 1.0928, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4752, build_cpu_time: 0.0149, build_memory: 210387110.2727, f_measure: 0.3981, kappa: 0.0032, kb_relative_information_score: 1.9778, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5062, predictive_accuracy: 0.5114, prior_entropy: 0.9996, recall: 0.5114, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.9952, scimark_benchmark: 910.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4752, build_cpu_time: 0.0143, build_memory: 511729363.0909, f_measure: 0.3981, kappa: 0.0032, kb_relative_information_score: 1.9778, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5062, predictive_accuracy: 0.5114, prior_entropy: 0.9996, recall: 0.5114, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.9952, scimark_benchmark: 942.3187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5442, build_cpu_time: 0.0163, build_memory: 2080780636.3636, f_measure: 0.5332, kappa: 0.0701, kb_relative_information_score: 2.1241, mean_absolute_error: 0.4902, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5357, predictive_accuracy: 0.5341, prior_entropy: 0.9996, recall: 0.5341, relative_absolute_error: 0.9809, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5039, root_relative_squared_error: 1.008, scimark_benchmark: 905.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5442, build_cpu_time: 0.0172, build_memory: 1208406232.5455, f_measure: 0.5332, kappa: 0.0701, kb_relative_information_score: 2.1241, mean_absolute_error: 0.4902, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5357, predictive_accuracy: 0.5341, prior_entropy: 0.9996, recall: 0.5341, relative_absolute_error: 0.9809, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5039, root_relative_squared_error: 1.008, scimark_benchmark: 932.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.447, build_cpu_time: 3.5332, build_memory: 1002769787.0909, f_measure: 0.474, kappa: -0.0492, kb_relative_information_score: -1.1254, mean_absolute_error: 0.5045, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.4752, predictive_accuracy: 0.4773, prior_entropy: 0.9996, recall: 0.4773, relative_absolute_error: 1.0096, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5212, root_relative_squared_error: 1.0426, scimark_benchmark: 876.8852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4486, build_cpu_time: 5.2414, build_memory: 137687553.8182, f_measure: 0.4718, kappa: -0.0503, kb_relative_information_score: -0.864, mean_absolute_error: 0.5036, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.4742, predictive_accuracy: 0.4773, prior_entropy: 0.9996, recall: 0.4773, relative_absolute_error: 1.0077, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.0394, scimark_benchmark: 943.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4879, build_cpu_time: 0.025, build_memory: 592194200.3636, f_measure: 0.5, kappa: 0.0005, kb_relative_information_score: -0.8573, mean_absolute_error: 0.5043, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5005, predictive_accuracy: 0.5, prior_entropy: 0.9996, recall: 0.5, relative_absolute_error: 1.0091, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5184, root_relative_squared_error: 1.0371, scimark_benchmark: 940.8364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5264, build_cpu_time: 0.0233, build_memory: 1495799093.0909, f_measure: 0.5114, kappa: 0.0227, kb_relative_information_score: 2.9392, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5116, predictive_accuracy: 0.5114, prior_entropy: 0.9996, recall: 0.5114, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5392, root_relative_squared_error: 1.0787, scimark_benchmark: 943.0515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5264, build_cpu_time: 0.0236, build_memory: 568110852.8182, f_measure: 0.5114, kappa: 0.0227, kb_relative_information_score: 2.9392, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5116, predictive_accuracy: 0.5114, prior_entropy: 0.9996, recall: 0.5114, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5392, root_relative_squared_error: 1.0787, scimark_benchmark: 939.9473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4899, build_cpu_time: 0.0084, build_memory: 676974289.7273, f_measure: 0.4884, kappa: -0.0217, kb_relative_information_score: -0.8651, mean_absolute_error: 0.5043, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.4894, predictive_accuracy: 0.4886, prior_entropy: 0.9996, recall: 0.4886, relative_absolute_error: 1.0091, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5176, root_relative_squared_error: 1.0354, scimark_benchmark: 943.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4899, build_cpu_time: 0.0141, build_memory: 2630522045.6364, f_measure: 0.4884, kappa: -0.0217, kb_relative_information_score: -0.8651, mean_absolute_error: 0.5043, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.4894, predictive_accuracy: 0.4886, prior_entropy: 0.9996, recall: 0.4886, relative_absolute_error: 1.0091, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5176, root_relative_squared_error: 1.0354, scimark_benchmark: 942.9616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4879, build_cpu_time: 0.0077, build_memory: 49506827.4545, f_measure: 0.4421, kappa: -0.1159, kb_relative_information_score: -1.1204, mean_absolute_error: 0.5052, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.442, predictive_accuracy: 0.4432, prior_entropy: 0.9996, recall: 0.4432, relative_absolute_error: 1.0109, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5181, root_relative_squared_error: 1.0365, scimark_benchmark: 943.8359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4879, build_cpu_time: 0.0044, build_memory: 622353544.8182, f_measure: 0.4421, kappa: -0.1159, kb_relative_information_score: -1.1204, mean_absolute_error: 0.5052, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.442, predictive_accuracy: 0.4432, prior_entropy: 0.9996, recall: 0.4432, relative_absolute_error: 1.0109, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5181, root_relative_squared_error: 1.0365, scimark_benchmark: 929.2431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4806, build_cpu_time: 0.0019, build_memory: 1025472801, f_measure: 0.4984, kappa: -0.0026, kb_relative_information_score: -0.9055, mean_absolute_error: 0.5044, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.499, predictive_accuracy: 0.5, prior_entropy: 0.9996, recall: 0.5, relative_absolute_error: 1.0093, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5176, root_relative_squared_error: 1.0356, scimark_benchmark: 824.2652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4806, build_cpu_time: 0.0039, build_memory: 1852461349.4546, f_measure: 0.4984, kappa: -0.0026, kb_relative_information_score: -0.9055, mean_absolute_error: 0.5044, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.499, predictive_accuracy: 0.5, prior_entropy: 0.9996, recall: 0.5, relative_absolute_error: 1.0093, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5176, root_relative_squared_error: 1.0356, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4553, build_cpu_time: 0.0022, build_memory: 1958796152.7273, f_measure: 0.474, kappa: -0.0492, kb_relative_information_score: -2.1634, mean_absolute_error: 0.5103, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.4752, predictive_accuracy: 0.4773, prior_entropy: 0.9996, recall: 0.4773, relative_absolute_error: 1.0211, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.526, root_relative_squared_error: 1.0524, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, build_cpu_time: 0.3736, build_memory: 151117414.5455, f_measure: 0.5091, kappa: 0.0197, kb_relative_information_score: 0.0772, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5102, predictive_accuracy: 0.5114, prior_entropy: 0.9996, recall: 0.5114, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5224, root_relative_squared_error: 1.045, scimark_benchmark: 942.7079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, build_cpu_time: 1.0044, build_memory: 183890275.5455, f_measure: 0.4844, kappa: -0.027, kb_relative_information_score: -0.1622, mean_absolute_error: 0.5005, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.4864, predictive_accuracy: 0.4886, prior_entropy: 0.9996, recall: 0.4886, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5165, root_relative_squared_error: 1.0332, scimark_benchmark: 1216.8013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5059, build_cpu_time: 1.5416, build_memory: 65304321.9091, f_measure: 0.4649, kappa: -0.0704, kb_relative_information_score: 0.039, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.4649, predictive_accuracy: 0.4659, prior_entropy: 0.9996, recall: 0.4659, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5147, root_relative_squared_error: 1.0296, scimark_benchmark: 935.1851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, build_cpu_time: 2.9725, build_memory: 105417408, f_measure: 0.4528, kappa: -0.0937, kb_relative_information_score: 0.0577, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.453, predictive_accuracy: 0.4545, prior_entropy: 0.9996, recall: 0.4545, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5127, root_relative_squared_error: 1.0256, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5039, build_cpu_time: 6.5129, build_memory: 1538559776.5455, f_measure: 0.4635, kappa: -0.0715, kb_relative_information_score: 0.1034, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.4641, predictive_accuracy: 0.4659, prior_entropy: 0.9996, recall: 0.4659, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5128, root_relative_squared_error: 1.0259, scimark_benchmark: 946.7854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5705, build_cpu_time: 0.1728, build_memory: 1806909829.4546, f_measure: 0.5787, kappa: 0.1608, kb_relative_information_score: 13.8848, mean_absolute_error: 0.4209, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5817, predictive_accuracy: 0.5795, prior_entropy: 0.9996, recall: 0.5795, relative_absolute_error: 0.8423, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6477, root_relative_squared_error: 1.2958, scimark_benchmark: 944.0386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5752, build_cpu_time: 0.1153, build_memory: 653517310.2727, f_measure: 0.5794, kappa: 0.16, kb_relative_information_score: 13.3223, mean_absolute_error: 0.4236, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5806, predictive_accuracy: 0.5795, prior_entropy: 0.9996, recall: 0.5795, relative_absolute_error: 0.8476, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6463, root_relative_squared_error: 1.293, scimark_benchmark: 941.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5478, build_cpu_time: 0.0434, build_memory: 1315788439.7273, f_measure: 0.5796, kappa: 0.1591, kb_relative_information_score: 14.3602, mean_absolute_error: 0.4182, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5798, predictive_accuracy: 0.5795, prior_entropy: 0.9996, recall: 0.5795, relative_absolute_error: 0.8369, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6395, root_relative_squared_error: 1.2794, scimark_benchmark: 945.0342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5654, build_cpu_time: 0.029, build_memory: 824071861.6364, f_measure: 0.5796, kappa: 0.1591, kb_relative_information_score: 13.285, mean_absolute_error: 0.4243, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5798, predictive_accuracy: 0.5795, prior_entropy: 0.9996, recall: 0.5795, relative_absolute_error: 0.849, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6454, root_relative_squared_error: 1.2911, scimark_benchmark: 942.4851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5654, build_cpu_time: 0.023, build_memory: 45331769.3636, f_measure: 0.5796, kappa: 0.1591, kb_relative_information_score: 13.285, mean_absolute_error: 0.4243, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5798, predictive_accuracy: 0.5795, prior_entropy: 0.9996, recall: 0.5795, relative_absolute_error: 0.849, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6454, root_relative_squared_error: 1.2911, scimark_benchmark: 945.0342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.531, build_cpu_time: 0.0104, build_memory: 824674832.4545, f_measure: 0.5455, kappa: 0.0914, kb_relative_information_score: 8.2621, mean_absolute_error: 0.4527, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.546, predictive_accuracy: 0.5455, prior_entropy: 0.9996, recall: 0.5455, relative_absolute_error: 0.9059, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6516, root_relative_squared_error: 1.3036, scimark_benchmark: 941.8931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.531, build_cpu_time: 0.0093, build_memory: 771172047.0909, f_measure: 0.5455, kappa: 0.0914, kb_relative_information_score: 8.2621, mean_absolute_error: 0.4527, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.546, predictive_accuracy: 0.5455, prior_entropy: 0.9996, recall: 0.5455, relative_absolute_error: 0.9059, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6516, root_relative_squared_error: 1.3036, scimark_benchmark: 909.9339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.531, build_cpu_time: 0.015, build_memory: 420334030.5455, f_measure: 0.5455, kappa: 0.0914, kb_relative_information_score: 8.2621, mean_absolute_error: 0.4527, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.546, predictive_accuracy: 0.5455, prior_entropy: 0.9996, recall: 0.5455, relative_absolute_error: 0.9059, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6516, root_relative_squared_error: 1.3036, scimark_benchmark: 920.6195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5568, f_measure: 0.5569, kappa: 0.1136, kb_relative_information_score: 9.943, mean_absolute_error: 0.4432, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5571, predictive_accuracy: 0.5568, prior_entropy: 0.9996, recall: 0.5568, relative_absolute_error: 0.8868, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6657, root_relative_squared_error: 1.3318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5589, f_measure: 0.5532, kappa: 0.1173, kb_relative_information_score: 9.943, mean_absolute_error: 0.4432, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5614, predictive_accuracy: 0.5568, prior_entropy: 0.9996, recall: 0.5568, relative_absolute_error: 0.8868, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6657, root_relative_squared_error: 1.3318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5589, f_measure: 0.5532, kappa: 0.1173, kb_relative_information_score: 9.943, mean_absolute_error: 0.4432, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5614, predictive_accuracy: 0.5568, prior_entropy: 0.9996, recall: 0.5568, relative_absolute_error: 0.8868, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6657, root_relative_squared_error: 1.3318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5736, build_cpu_time: 0.2102, build_memory: 299577321.8182, f_measure: 0.6136, kappa: 0.2269, kb_relative_information_score: 4.777, mean_absolute_error: 0.4793, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.6136, predictive_accuracy: 0.6136, prior_entropy: 0.9996, recall: 0.6136, relative_absolute_error: 0.9591, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5098, root_relative_squared_error: 1.0199, scimark_benchmark: 735.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5049, build_cpu_time: 0.0444, build_memory: 1281471327.2727, f_measure: 0.556, kappa: 0.1118, kb_relative_information_score: 0.3216, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4997, number_of_instances: 88, precision: 0.5564, predictive_accuracy: 0.5568, prior_entropy: 0.9996, recall: 0.5568, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5217, root_relative_squared_error: 1.0437, scimark_benchmark: 946.5792,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs