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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
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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

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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:

File: /var/www/openml/openml_OS/models/Log.php
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Function: fopen

File: /var/www/openml/openml_OS/core/MY_Database_Read_Model.php
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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
Line: 337
Function: require_once

OpenML
OpenML
Supervised Classification on pc3

Supervised Classification on pc3

Task 3903 Supervised Classification pc3 143129 runs submitted
0 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_7 study_98 study_99 under100k under1m
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143129 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7996, build_cpu_time: 2.4822, build_memory: 186110102.5925, f_measure: 0.872, kappa: 0.264, kb_relative_information_score: 109.5074, mean_absolute_error: 0.126, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.866, predictive_accuracy: 0.8797, prior_entropy: 0.478, recall: 0.8797, relative_absolute_error: 0.6841, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3166, root_relative_squared_error: 1.0445, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7996, build_cpu_time: 2.8346, build_memory: 758121365.3948, f_measure: 0.872, kappa: 0.264, kb_relative_information_score: 109.5074, mean_absolute_error: 0.126, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.866, predictive_accuracy: 0.8797, prior_entropy: 0.478, recall: 0.8797, relative_absolute_error: 0.6841, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3166, root_relative_squared_error: 1.0445, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, build_cpu_time: 2.6375, build_memory: 653399237.1695, f_measure: 0.8688, kappa: 0.2404, kb_relative_information_score: 95.1428, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8619, predictive_accuracy: 0.8778, prior_entropy: 0.478, recall: 0.8778, relative_absolute_error: 0.6913, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3171, root_relative_squared_error: 1.046, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7834, build_cpu_time: 2.0008, build_memory: 1484098752.8343, f_measure: 0.8636, kappa: 0.2065, kb_relative_information_score: 17.005, mean_absolute_error: 0.133, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8557, predictive_accuracy: 0.874, prior_entropy: 0.478, recall: 0.874, relative_absolute_error: 0.7223, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3245, root_relative_squared_error: 1.0706, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7936, build_cpu_time: 0.787, build_memory: 529186947.4242, f_measure: 0.877, kappa: 0.2766, kb_relative_information_score: 297.1284, mean_absolute_error: 0.111, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.87, predictive_accuracy: 0.888, prior_entropy: 0.478, recall: 0.888, relative_absolute_error: 0.6026, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3187, root_relative_squared_error: 1.0513, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, build_cpu_time: 0.8866, build_memory: 447210348.151, f_measure: 0.8765, kappa: 0.2718, kb_relative_information_score: 299.443, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8694, predictive_accuracy: 0.888, prior_entropy: 0.478, recall: 0.888, relative_absolute_error: 0.6016, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3188, root_relative_squared_error: 1.0517, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, build_cpu_time: 0.8562, build_memory: 149615817.6379, f_measure: 0.8765, kappa: 0.2718, kb_relative_information_score: 299.4928, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8694, predictive_accuracy: 0.888, prior_entropy: 0.478, recall: 0.888, relative_absolute_error: 0.6015, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3188, root_relative_squared_error: 1.0517, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, build_cpu_time: 1.0047, build_memory: 734331004.842, f_measure: 0.8765, kappa: 0.2718, kb_relative_information_score: 299.4928, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8694, predictive_accuracy: 0.888, prior_entropy: 0.478, recall: 0.888, relative_absolute_error: 0.6015, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3188, root_relative_squared_error: 1.0517, scimark_benchmark: 919.8064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, build_cpu_time: 0.9386, build_memory: 3017004502.183, f_measure: 0.8765, kappa: 0.2718, kb_relative_information_score: 299.4928, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8694, predictive_accuracy: 0.888, prior_entropy: 0.478, recall: 0.888, relative_absolute_error: 0.6015, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3188, root_relative_squared_error: 1.0517, scimark_benchmark: 931.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6218, build_cpu_time: 82.3641, build_memory: 508290385.8733, f_measure: 0.8651, kappa: 0.2496, kb_relative_information_score: 77.7196, mean_absolute_error: 0.1316, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8623, predictive_accuracy: 0.8682, prior_entropy: 0.478, recall: 0.8682, relative_absolute_error: 0.7144, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3613, root_relative_squared_error: 1.1918, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6218, build_cpu_time: 41.7894, build_memory: 581809402.6513, f_measure: 0.8651, kappa: 0.2496, kb_relative_information_score: 77.7658, mean_absolute_error: 0.1316, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8623, predictive_accuracy: 0.8682, prior_entropy: 0.478, recall: 0.8682, relative_absolute_error: 0.7144, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3613, root_relative_squared_error: 1.1918, scimark_benchmark: 916.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6218, build_cpu_time: 34.9683, build_memory: 279218297.7044, f_measure: 0.8651, kappa: 0.2496, kb_relative_information_score: 77.8588, mean_absolute_error: 0.1316, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8623, predictive_accuracy: 0.8682, prior_entropy: 0.478, recall: 0.8682, relative_absolute_error: 0.7144, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3613, root_relative_squared_error: 1.1917, scimark_benchmark: 919.5971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8132, build_cpu_time: 1.7178, build_memory: 41827882.38, f_measure: 0.8645, kappa: 0.1362, kb_relative_information_score: -262.5493, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.858, predictive_accuracy: 0.8944, prior_entropy: 0.478, recall: 0.8944, relative_absolute_error: 0.8173, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2889, root_relative_squared_error: 0.9531, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7883, build_cpu_time: 12.151, build_memory: 1318915775.524, f_measure: 0.885, kappa: 0.3243, kb_relative_information_score: 362.8069, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8792, predictive_accuracy: 0.8951, prior_entropy: 0.478, recall: 0.8951, relative_absolute_error: 0.5693, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3081, root_relative_squared_error: 1.0163, scimark_benchmark: 939.7798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7884, build_cpu_time: 6.0295, build_memory: 1109997999.0941, f_measure: 0.8854, kappa: 0.3311, kb_relative_information_score: 350.2648, mean_absolute_error: 0.1059, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8798, predictive_accuracy: 0.8944, prior_entropy: 0.478, recall: 0.8944, relative_absolute_error: 0.5749, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.309, root_relative_squared_error: 1.0194, scimark_benchmark: 902.0906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4777, build_cpu_time: 0.3844, build_memory: 1062514203.286, f_measure: 0.8321, kappa: -0.0415, kb_relative_information_score: -320.5038, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8064, predictive_accuracy: 0.8605, prior_entropy: 0.478, recall: 0.8605, relative_absolute_error: 1.0979, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3387, root_relative_squared_error: 1.1172, scimark_benchmark: 892.0716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8052, build_cpu_time: 2.1836, build_memory: 392750375.1299, f_measure: 0.8547, kappa: 0.129, kb_relative_information_score: -192.6189, mean_absolute_error: 0.1474, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8424, predictive_accuracy: 0.8714, prior_entropy: 0.478, recall: 0.8714, relative_absolute_error: 0.8005, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3059, root_relative_squared_error: 1.0091, scimark_benchmark: 945.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8198, build_cpu_time: 0.1598, build_memory: 533228569.1516, f_measure: 0.8638, kappa: 0.3161, kb_relative_information_score: -476.6002, mean_absolute_error: 0.1658, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8761, predictive_accuracy: 0.8541, prior_entropy: 0.478, recall: 0.8541, relative_absolute_error: 0.9004, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3173, root_relative_squared_error: 1.0469, scimark_benchmark: 906.4221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, build_cpu_time: 0.0502, build_memory: 114546312.778, f_measure: 0.8296, kappa: 0.254, kb_relative_information_score: -1003.7962, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8709, predictive_accuracy: 0.8029, prior_entropy: 0.478, recall: 0.8029, relative_absolute_error: 1.1112, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3687, root_relative_squared_error: 1.2165, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, build_cpu_time: 0.5872, build_memory: 771881477.8605, f_measure: 0.8828, kappa: 0.2612, kb_relative_information_score: -181.1348, mean_absolute_error: 0.147, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8859, predictive_accuracy: 0.906, prior_entropy: 0.478, recall: 0.906, relative_absolute_error: 0.7979, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2694, root_relative_squared_error: 0.8887, scimark_benchmark: 933.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.566, build_cpu_time: 0.1468, build_memory: 779913097.817, f_measure: 0.8649, kappa: 0.1454, kb_relative_information_score: 28.0068, mean_absolute_error: 0.1729, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8565, predictive_accuracy: 0.8925, prior_entropy: 0.478, recall: 0.8925, relative_absolute_error: 0.939, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3041, root_relative_squared_error: 1.0033, scimark_benchmark: 844.3635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6433, build_cpu_time: 0.0008, build_memory: 805398350.2137, f_measure: 0.8643, kappa: 0.2408, kb_relative_information_score: 75.3842, mean_absolute_error: 0.1321, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8607, predictive_accuracy: 0.8682, prior_entropy: 0.478, recall: 0.8682, relative_absolute_error: 0.7171, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.361, root_relative_squared_error: 1.191, scimark_benchmark: 906.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.3561, build_memory: 107035418.9379, f_measure: 0.8492, kb_relative_information_score: 407.2387, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555, scimark_benchmark: 906.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 1.0188, build_memory: 471994008.1484, f_measure: 0.8492, kb_relative_information_score: 407.2387, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555, scimark_benchmark: 915.7861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.1914, build_memory: 247339214.1983, f_measure: 0.8492, kb_relative_information_score: 407.2387, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3199, root_relative_squared_error: 1.0555, scimark_benchmark: 926.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8193, build_cpu_time: 0.1556, build_memory: 113099562.8458, f_measure: 0.8755, kappa: 0.2238, kb_relative_information_score: -98.2421, mean_absolute_error: 0.1487, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8707, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 0.8075, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2822, root_relative_squared_error: 0.931, scimark_benchmark: 948.6597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7534, build_cpu_time: 0.013, build_memory: 181506200.1689, f_measure: 0.5621, kappa: 0.0888, kb_relative_information_score: -4555.5104, mean_absolute_error: 0.5162, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8771, predictive_accuracy: 0.476, prior_entropy: 0.478, recall: 0.476, relative_absolute_error: 2.8027, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.6825, root_relative_squared_error: 2.2516, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7534, build_cpu_time: 0.014, build_memory: 376780413.3589, f_measure: 0.5621, kappa: 0.0888, kb_relative_information_score: -4555.5104, mean_absolute_error: 0.5162, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8771, predictive_accuracy: 0.476, prior_entropy: 0.478, recall: 0.476, relative_absolute_error: 2.8027, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.6825, root_relative_squared_error: 2.2516, scimark_benchmark: 908.7121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, build_cpu_time: 0.2203, build_memory: 1151674322.6667, f_measure: 0.8608, kappa: 0.097, kb_relative_information_score: -225.7359, mean_absolute_error: 0.1533, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8597, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 0.8326, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2814, root_relative_squared_error: 0.9282, scimark_benchmark: 945.1122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6044, build_cpu_time: 0.1022, build_memory: 640424098.6052, f_measure: 0.8575, kappa: 0.1538, kb_relative_information_score: -162.1021, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8467, predictive_accuracy: 0.872, prior_entropy: 0.478, recall: 0.872, relative_absolute_error: 0.8648, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3387, root_relative_squared_error: 1.1175, scimark_benchmark: 945.6567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6044, build_cpu_time: 0.1037, build_memory: 540454543.785, f_measure: 0.8575, kappa: 0.1538, kb_relative_information_score: -162.1021, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8467, predictive_accuracy: 0.872, prior_entropy: 0.478, recall: 0.872, relative_absolute_error: 0.8648, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3387, root_relative_squared_error: 1.1175, scimark_benchmark: 946.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6044, build_cpu_time: 0.1042, build_memory: 353843798.5106, f_measure: 0.8575, kappa: 0.1538, kb_relative_information_score: -162.1021, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8467, predictive_accuracy: 0.872, prior_entropy: 0.478, recall: 0.872, relative_absolute_error: 0.8648, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3387, root_relative_squared_error: 1.1175, scimark_benchmark: 940.3415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, build_cpu_time: 0.0003, build_memory: 853375592.0563, f_measure: 0.8492, kb_relative_information_score: -2.064, mean_absolute_error: 0.1842, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8057, predictive_accuracy: 0.8976, prior_entropy: 0.478, recall: 0.8976, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1, scimark_benchmark: 947.7747,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, build_cpu_time: 60.0789, build_memory: 256878432.1024, f_measure: 0.8686, kappa: 0.1999, kb_relative_information_score: -516.111, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.859, predictive_accuracy: 0.8868, prior_entropy: 0.478, recall: 0.8868, relative_absolute_error: 0.9756, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2861, root_relative_squared_error: 0.9438, scimark_benchmark: 1216.8013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, build_cpu_time: 176.2587, build_memory: 1331047108.0384, f_measure: 0.8762, kappa: 0.2396, kb_relative_information_score: -532.4403, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8695, predictive_accuracy: 0.8951, prior_entropy: 0.478, recall: 0.8951, relative_absolute_error: 1.0057, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2824, root_relative_squared_error: 0.9317, scimark_benchmark: 1130.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8417, build_cpu_time: 284.0245, build_memory: 1749579139.7108, f_measure: 0.8743, kappa: 0.2224, kb_relative_information_score: -490.5138, mean_absolute_error: 0.1819, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8678, predictive_accuracy: 0.8951, prior_entropy: 0.478, recall: 0.8951, relative_absolute_error: 0.9876, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2783, root_relative_squared_error: 0.9179, scimark_benchmark: 943.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8453, build_cpu_time: 601.0705, build_memory: 254638367.6622, f_measure: 0.8783, kappa: 0.2451, kb_relative_information_score: -496.3878, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8739, predictive_accuracy: 0.8989, prior_entropy: 0.478, recall: 0.8989, relative_absolute_error: 1.0031, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2771, root_relative_squared_error: 0.9143, scimark_benchmark: 941.4059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8505, build_cpu_time: 1135.9474, build_memory: 201171403.9411, f_measure: 0.8808, kappa: 0.2586, kb_relative_information_score: -486.3344, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8781, predictive_accuracy: 0.9015, prior_entropy: 0.478, recall: 0.9015, relative_absolute_error: 1.0032, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2765, root_relative_squared_error: 0.912, scimark_benchmark: 942.7014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7177, build_cpu_time: 34.5117, build_memory: 1503810332.801, f_measure: 0.8771, kappa: 0.2433, kb_relative_information_score: 377.6436, mean_absolute_error: 0.1052, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8711, predictive_accuracy: 0.8964, prior_entropy: 0.478, recall: 0.8964, relative_absolute_error: 0.5712, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3154, root_relative_squared_error: 1.0406, scimark_benchmark: 941.2906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7712, build_cpu_time: 16.8758, build_memory: 1100201196.0486, f_measure: 0.8669, kappa: 0.1795, kb_relative_information_score: 280.8736, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.857, predictive_accuracy: 0.888, prior_entropy: 0.478, recall: 0.888, relative_absolute_error: 0.6109, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3228, root_relative_squared_error: 1.0648, scimark_benchmark: 934.1739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7807, build_cpu_time: 8.4673, build_memory: 1448228041.0646, f_measure: 0.862, kappa: 0.1184, kb_relative_information_score: 331.6187, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8538, predictive_accuracy: 0.8932, prior_entropy: 0.478, recall: 0.8932, relative_absolute_error: 0.5925, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3175, root_relative_squared_error: 1.0473, scimark_benchmark: 909.9339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, build_cpu_time: 4.5257, build_memory: 90000894.7153, f_measure: 0.8576, kappa: 0.0929, kb_relative_information_score: 272.2096, mean_absolute_error: 0.1138, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8443, predictive_accuracy: 0.8887, prior_entropy: 0.478, recall: 0.8887, relative_absolute_error: 0.6176, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3188, root_relative_squared_error: 1.0516, scimark_benchmark: 845.9233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7986, build_cpu_time: 2.2179, build_memory: 966331931.9565, f_measure: 0.8546, kappa: 0.0549, kb_relative_information_score: 321.3233, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8427, predictive_accuracy: 0.8932, prior_entropy: 0.478, recall: 0.8932, relative_absolute_error: 0.5926, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3129, root_relative_squared_error: 1.0322, scimark_benchmark: 931.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, build_cpu_time: 25.3463, build_memory: 305977237.4766, f_measure: 0.8643, kappa: 0.1194, kb_relative_information_score: -101.197, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8698, predictive_accuracy: 0.8996, prior_entropy: 0.478, recall: 0.8996, relative_absolute_error: 0.837, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2793, root_relative_squared_error: 0.9213, scimark_benchmark: 937.7479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8414, build_cpu_time: 61.2894, build_memory: 236472760.9878, f_measure: 0.8643, kappa: 0.1194, kb_relative_information_score: -98.7419, mean_absolute_error: 0.1541, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8698, predictive_accuracy: 0.8996, prior_entropy: 0.478, recall: 0.8996, relative_absolute_error: 0.8369, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2786, root_relative_squared_error: 0.9189, scimark_benchmark: 947.2447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8414, build_cpu_time: 52.5499, build_memory: 50478144.3429, f_measure: 0.8643, kappa: 0.1194, kb_relative_information_score: -98.7419, mean_absolute_error: 0.1541, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8698, predictive_accuracy: 0.8996, prior_entropy: 0.478, recall: 0.8996, relative_absolute_error: 0.8369, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2786, root_relative_squared_error: 0.9189, scimark_benchmark: 876.3385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8537, build_cpu_time: 9.3523, build_memory: 254691639.3039, f_measure: 0.8754, kappa: 0.2102, kb_relative_information_score: -146.3935, mean_absolute_error: 0.1477, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.876, predictive_accuracy: 0.9015, prior_entropy: 0.478, recall: 0.9015, relative_absolute_error: 0.8017, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2742, root_relative_squared_error: 0.9045, scimark_benchmark: 939.7171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8498, build_cpu_time: 4.4518, build_memory: 920326613.2003, f_measure: 0.8752, kappa: 0.2128, kb_relative_information_score: -147.0491, mean_absolute_error: 0.1474, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8737, predictive_accuracy: 0.9002, prior_entropy: 0.478, recall: 0.9002, relative_absolute_error: 0.8002, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.902, scimark_benchmark: 944.9895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8498, build_cpu_time: 4.6973, build_memory: 870698893.6302, f_measure: 0.8752, kappa: 0.2128, kb_relative_information_score: -147.0491, mean_absolute_error: 0.1474, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8737, predictive_accuracy: 0.9002, prior_entropy: 0.478, recall: 0.9002, relative_absolute_error: 0.8002, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.902, scimark_benchmark: 945.7704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8468, build_cpu_time: 2.3255, build_memory: 2040711005.1337, f_measure: 0.87, kappa: 0.1808, kb_relative_information_score: -177.8257, mean_absolute_error: 0.1483, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8645, predictive_accuracy: 0.8957, prior_entropy: 0.478, recall: 0.8957, relative_absolute_error: 0.8053, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.276, root_relative_squared_error: 0.9106, scimark_benchmark: 945.1732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, build_cpu_time: 1.1537, build_memory: 428505637.9578, f_measure: 0.875, kappa: 0.2219, kb_relative_information_score: -175.0164, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8698, predictive_accuracy: 0.897, prior_entropy: 0.478, recall: 0.897, relative_absolute_error: 0.8041, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2793, root_relative_squared_error: 0.9214, scimark_benchmark: 945.079,

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