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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

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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

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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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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 heart-h

Supervised Classification on heart-h

Task 50 Supervised Classification heart-h 703 runs submitted
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Visibility: Public
  • basic study_1 study_107 study_41 study_50 study_73 under100k under1m
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703 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7844, build_cpu_time: 0.0886, build_memory: 140151597.0884, f_measure: 0.7882, kappa: 0.5389, kb_relative_information_score: 141.4149, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7876, predictive_accuracy: 0.7891, prior_entropy: 1.0314, recall: 0.7891, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2878, root_relative_squared_error: 0.9477, scimark_benchmark: 937.5625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, build_cpu_time: 0.0689, build_memory: 140515446.8571, f_measure: 0.8227, kappa: 0.6102, kb_relative_information_score: 149.5758, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8251, predictive_accuracy: 0.8265, prior_entropy: 1.0314, recall: 0.8265, relative_absolute_error: 0.4601, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.7444, scimark_benchmark: 926.7725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, build_cpu_time: 3.3728, build_memory: 778697123.0204, f_measure: 0.8014, kappa: 0.5668, kb_relative_information_score: 150.8457, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8008, predictive_accuracy: 0.8027, prior_entropy: 1.0314, recall: 0.8027, relative_absolute_error: 0.4363, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2812, root_relative_squared_error: 0.9258, scimark_benchmark: 942.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8128, build_cpu_time: 1.5853, build_memory: 1432910374.449, f_measure: 0.7803, kappa: 0.52, kb_relative_information_score: 142.7231, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7795, predictive_accuracy: 0.7823, prior_entropy: 1.0314, recall: 0.7823, relative_absolute_error: 0.4625, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.9504, scimark_benchmark: 937.4026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, build_cpu_time: 0.4382, build_memory: 1397623767.0476, f_measure: 0.7647, kappa: 0.4835, kb_relative_information_score: 135.2152, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7644, predictive_accuracy: 0.7687, prior_entropy: 1.0314, recall: 0.7687, relative_absolute_error: 0.4907, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2875, root_relative_squared_error: 0.9467, scimark_benchmark: 906.4221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, build_cpu_time: 0.0011, build_memory: 913198904.1633, f_measure: 0.8486, kappa: 0.6686, kb_relative_information_score: 166.552, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.849, predictive_accuracy: 0.8503, prior_entropy: 1.0314, recall: 0.8503, relative_absolute_error: 0.3991, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.212, root_relative_squared_error: 0.6981, scimark_benchmark: 875.7999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, build_cpu_time: 0.0704, build_memory: 1597603230.3674, f_measure: 0.8146, kappa: 0.595, kb_relative_information_score: 131.2517, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8142, predictive_accuracy: 0.8163, prior_entropy: 1.0314, recall: 0.8163, relative_absolute_error: 0.5331, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.7505, scimark_benchmark: 928.1083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7542, build_cpu_time: 0.0071, build_memory: 966681163.5918, f_measure: 0.7861, kappa: 0.5311, kb_relative_information_score: 105.9165, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7858, predictive_accuracy: 0.7891, prior_entropy: 1.0314, recall: 0.7891, relative_absolute_error: 0.6427, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2579, root_relative_squared_error: 0.849, scimark_benchmark: 931.9838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7844, build_cpu_time: 0.0001, build_memory: 270748144.2177, f_measure: 0.7882, kappa: 0.5389, kb_relative_information_score: 141.4149, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7876, predictive_accuracy: 0.7891, prior_entropy: 1.0314, recall: 0.7891, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2878, root_relative_squared_error: 0.9477, scimark_benchmark: 945.4085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, build_cpu_time: 0.0316, build_memory: 970244810.6939, f_measure: 0.8238, kappa: 0.6135, kb_relative_information_score: 8.722, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8245, predictive_accuracy: 0.8265, prior_entropy: 1.0314, recall: 0.8265, relative_absolute_error: 0.9713, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2888, root_relative_squared_error: 0.9508, scimark_benchmark: 909.8271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8153, build_cpu_time: 0.0205, build_memory: 959515229.4422, f_measure: 0.838, kappa: 0.6453, kb_relative_information_score: 10.3317, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8385, predictive_accuracy: 0.8401, prior_entropy: 1.0314, recall: 0.8401, relative_absolute_error: 0.9671, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2874, root_relative_squared_error: 0.9463, scimark_benchmark: 909.8271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8859, build_cpu_time: 0.038, build_memory: 779433289.6327, f_measure: 0.826, kappa: 0.6215, kb_relative_information_score: 151.9092, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8256, predictive_accuracy: 0.8265, prior_entropy: 1.0314, recall: 0.8265, relative_absolute_error: 0.4508, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.7403, scimark_benchmark: 945.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, build_cpu_time: 0.0007, build_memory: 101393806.9388, f_measure: 0.8464, kappa: 0.666, kb_relative_information_score: 171.662, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8461, predictive_accuracy: 0.8469, prior_entropy: 1.0314, recall: 0.8469, relative_absolute_error: 0.3693, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.7338, scimark_benchmark: 946.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, build_cpu_time: 0.0197, build_memory: 1444084694.6123, f_measure: 0.8009, kappa: 0.565, kb_relative_information_score: 120.3969, mean_absolute_error: 0.1074, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8004, predictive_accuracy: 0.8027, prior_entropy: 1.0314, recall: 0.8027, relative_absolute_error: 0.5752, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.234, root_relative_squared_error: 0.7703, scimark_benchmark: 943.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, build_cpu_time: 0.0174, build_memory: 904831211.9184, f_measure: 0.8009, kappa: 0.565, kb_relative_information_score: 120.3969, mean_absolute_error: 0.1074, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8004, predictive_accuracy: 0.8027, prior_entropy: 1.0314, recall: 0.8027, relative_absolute_error: 0.5752, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.234, root_relative_squared_error: 0.7703, scimark_benchmark: 933.4176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7676, build_cpu_time: 0.0006, build_memory: 660688888, f_measure: 0.7981, kappa: 0.5557, kb_relative_information_score: 154.0219, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8001, predictive_accuracy: 0.8027, prior_entropy: 1.0314, recall: 0.8027, relative_absolute_error: 0.4226, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2809, root_relative_squared_error: 0.9249, scimark_benchmark: 893.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7676, build_cpu_time: 0.0005, build_memory: 624978584, f_measure: 0.7981, kappa: 0.5557, kb_relative_information_score: 154.0219, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8001, predictive_accuracy: 0.8027, prior_entropy: 1.0314, recall: 0.8027, relative_absolute_error: 0.4226, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2809, root_relative_squared_error: 0.9249, scimark_benchmark: 943.4022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7675, build_cpu_time: 0.0042, build_memory: 66464441.932, f_measure: 0.7993, kappa: 0.5595, kb_relative_information_score: 111.7688, mean_absolute_error: 0.1162, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7998, predictive_accuracy: 0.8027, prior_entropy: 1.0314, recall: 0.8027, relative_absolute_error: 0.6224, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.84, scimark_benchmark: 922.5645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4843, build_memory: 744302664, f_measure: 0.4988, kb_relative_information_score: -0.6413, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 1.0314, recall: 0.6395, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.3037, root_relative_squared_error: 1.0001, scimark_benchmark: 945.6567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4843, build_cpu_time: 0.0002, build_memory: 926287504, f_measure: 0.4988, kb_relative_information_score: -0.6413, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 1.0314, recall: 0.6395, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.3037, root_relative_squared_error: 1.0001, scimark_benchmark: 947.7747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, build_cpu_time: 0.0006, build_memory: 142169639.8912, f_measure: 0.8464, kappa: 0.666, kb_relative_information_score: 171.662, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8461, predictive_accuracy: 0.8469, prior_entropy: 1.0314, recall: 0.8469, relative_absolute_error: 0.3693, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.7338, scimark_benchmark: 940.3415,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, build_cpu_time: 0.1262, build_memory: 352773614.7483, f_measure: 0.8275, kappa: 0.6218, kb_relative_information_score: 7.4404, mean_absolute_error: 0.1819, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.828, predictive_accuracy: 0.8299, prior_entropy: 1.0314, recall: 0.8299, relative_absolute_error: 0.9745, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2891, root_relative_squared_error: 0.952, scimark_benchmark: 932.8271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, build_cpu_time: 0.2657, build_memory: 597277178.449, f_measure: 0.8482, kappa: 0.6672, kb_relative_information_score: 7.814, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8491, predictive_accuracy: 0.8503, prior_entropy: 1.0314, recall: 0.8503, relative_absolute_error: 0.9735, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2888, root_relative_squared_error: 0.9508, scimark_benchmark: 901.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, build_cpu_time: 0.2423, build_memory: 630918860.7075, f_measure: 0.8482, kappa: 0.6672, kb_relative_information_score: 7.814, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8491, predictive_accuracy: 0.8503, prior_entropy: 1.0314, recall: 0.8503, relative_absolute_error: 0.9735, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2888, root_relative_squared_error: 0.9508, scimark_benchmark: 928.8874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, build_cpu_time: 0.5127, build_memory: 805677153.3605, f_measure: 0.8408, kappa: 0.6506, kb_relative_information_score: 7.8938, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8423, predictive_accuracy: 0.8435, prior_entropy: 1.0314, recall: 0.8435, relative_absolute_error: 0.9732, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.9504, scimark_benchmark: 921.6213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, build_cpu_time: 0.937, build_memory: 1456542950.2041, f_measure: 0.8403, kappa: 0.6491, kb_relative_information_score: 7.9964, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8427, predictive_accuracy: 0.8435, prior_entropy: 1.0314, recall: 0.8435, relative_absolute_error: 0.973, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.9502, scimark_benchmark: 946.5993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9032, build_cpu_time: 1.8904, build_memory: 3770422486.2857, f_measure: 0.8403, kappa: 0.6491, kb_relative_information_score: 8.0418, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8427, predictive_accuracy: 0.8435, prior_entropy: 1.0314, recall: 0.8435, relative_absolute_error: 0.9728, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.9501, scimark_benchmark: 945.7067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, build_cpu_time: 0.1774, build_memory: 518086966.0408, f_measure: 0.8062, kappa: 0.5747, kb_relative_information_score: 123.5488, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8069, predictive_accuracy: 0.8095, prior_entropy: 1.0314, recall: 0.8095, relative_absolute_error: 0.5666, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.7498, scimark_benchmark: 944.9156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, build_cpu_time: 0.0996, build_memory: 729146259.619, f_measure: 0.8094, kappa: 0.5814, kb_relative_information_score: 123.2528, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8105, predictive_accuracy: 0.8129, prior_entropy: 1.0314, recall: 0.8129, relative_absolute_error: 0.5676, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.7512, scimark_benchmark: 902.5808,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8854, build_cpu_time: 0.0674, build_memory: 1429192435.7551, f_measure: 0.8094, kappa: 0.5814, kb_relative_information_score: 123.8515, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8105, predictive_accuracy: 0.8129, prior_entropy: 1.0314, recall: 0.8129, relative_absolute_error: 0.5667, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.7498, scimark_benchmark: 943.4766,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, build_cpu_time: 0.1703, build_memory: 538950478.5034, f_measure: 0.7945, kappa: 0.5519, kb_relative_information_score: 130.5304, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7939, predictive_accuracy: 0.7959, prior_entropy: 1.0314, recall: 0.7959, relative_absolute_error: 0.5383, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.227, root_relative_squared_error: 0.7473, scimark_benchmark: 933.9925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, build_cpu_time: 0.0997, build_memory: 1732901835.5102, f_measure: 0.8078, kappa: 0.58, kb_relative_information_score: 130.6244, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8073, predictive_accuracy: 0.8095, prior_entropy: 1.0314, recall: 0.8095, relative_absolute_error: 0.5365, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.7462, scimark_benchmark: 933.2288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, build_cpu_time: 0.0909, build_memory: 49828272.5442, f_measure: 0.8046, kappa: 0.5734, kb_relative_information_score: 130.6705, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.804, predictive_accuracy: 0.8061, prior_entropy: 1.0314, recall: 0.8061, relative_absolute_error: 0.5343, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.7526, scimark_benchmark: 925.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, build_cpu_time: 0.0881, build_memory: 26440283.1837, f_measure: 0.8046, kappa: 0.5734, kb_relative_information_score: 130.6705, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.804, predictive_accuracy: 0.8061, prior_entropy: 1.0314, recall: 0.8061, relative_absolute_error: 0.5343, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.7526, scimark_benchmark: 937.5871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, build_cpu_time: 0.074, build_memory: 1036954820.898, f_measure: 0.8046, kappa: 0.5734, kb_relative_information_score: 130.6705, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.804, predictive_accuracy: 0.8061, prior_entropy: 1.0314, recall: 0.8061, relative_absolute_error: 0.5343, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.7526, scimark_benchmark: 950.5456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7675, build_cpu_time: 0.008, build_memory: 24990092.8435, f_measure: 0.7993, kappa: 0.5595, kb_relative_information_score: 111.7688, mean_absolute_error: 0.1162, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7998, predictive_accuracy: 0.8027, prior_entropy: 1.0314, recall: 0.8027, relative_absolute_error: 0.6224, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.84, scimark_benchmark: 947.3758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7675, build_cpu_time: 0.0134, build_memory: 628604414.6939, f_measure: 0.7993, kappa: 0.5595, kb_relative_information_score: 111.7688, mean_absolute_error: 0.1162, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7998, predictive_accuracy: 0.8027, prior_entropy: 1.0314, recall: 0.8027, relative_absolute_error: 0.6224, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.84, scimark_benchmark: 921.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.8191, kappa: 0.6066, kb_relative_information_score: 139.7395, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8187, predictive_accuracy: 0.8197, prior_entropy: 1.0314, recall: 0.8197, relative_absolute_error: 0.4965, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.7594, scimark_benchmark: 912.6261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7628, f_measure: 0.7829, kappa: 0.5245, kb_relative_information_score: 143.8552, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7824, predictive_accuracy: 0.7857, prior_entropy: 1.0314, recall: 0.7857, relative_absolute_error: 0.4599, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.288, root_relative_squared_error: 0.9482, scimark_benchmark: 900.0628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8803, f_measure: 0.7914, kappa: 0.5454, kb_relative_information_score: 144.2033, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7907, predictive_accuracy: 0.7925, prior_entropy: 1.0314, recall: 0.7925, relative_absolute_error: 0.4653, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2432, root_relative_squared_error: 0.8007, scimark_benchmark: 596.5382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.8155, kappa: 0.5984, kb_relative_information_score: 163.1042, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.815, predictive_accuracy: 0.8163, prior_entropy: 1.0314, recall: 0.8163, relative_absolute_error: 0.3913, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2635, root_relative_squared_error: 0.8676, scimark_benchmark: 597.6812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, f_measure: 0.8114, kappa: 0.5884, kb_relative_information_score: 150.9817, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8109, predictive_accuracy: 0.8129, prior_entropy: 1.0314, recall: 0.8129, relative_absolute_error: 0.4477, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.7684, scimark_benchmark: 941.9245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8873, f_measure: 0.8126, kappa: 0.5881, kb_relative_information_score: 128.9454, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8142, predictive_accuracy: 0.8163, prior_entropy: 1.0314, recall: 0.8163, relative_absolute_error: 0.5453, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.745, scimark_benchmark: 896.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.795, kappa: 0.5537, kb_relative_information_score: 147.7526, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7945, predictive_accuracy: 0.7959, prior_entropy: 1.0314, recall: 0.7959, relative_absolute_error: 0.4504, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.8572, scimark_benchmark: 893.1048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8461, f_measure: 0.7903, kappa: 0.5415, kb_relative_information_score: 134.5678, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7898, predictive_accuracy: 0.7925, prior_entropy: 1.0314, recall: 0.7925, relative_absolute_error: 0.5012, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.8664, scimark_benchmark: 944.8469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8467, f_measure: 0.7803, kappa: 0.52, kb_relative_information_score: 145.1778, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7795, predictive_accuracy: 0.7823, prior_entropy: 1.0314, recall: 0.7823, relative_absolute_error: 0.4523, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2763, root_relative_squared_error: 0.9096, scimark_benchmark: 898.9118,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7874, f_measure: 0.8009, kappa: 0.565, kb_relative_information_score: 153.1991, mean_absolute_error: 0.0797, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8004, predictive_accuracy: 0.8027, prior_entropy: 1.0314, recall: 0.8027, relative_absolute_error: 0.4266, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2812, root_relative_squared_error: 0.9257, scimark_benchmark: 945.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.794, kappa: 0.55, kb_relative_information_score: 146.876, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7934, predictive_accuracy: 0.7959, prior_entropy: 1.0314, recall: 0.7959, relative_absolute_error: 0.4554, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2394, root_relative_squared_error: 0.7882, scimark_benchmark: 912.7408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8183, f_measure: 0.8167, kappa: 0.6033, kb_relative_information_score: 132.1796, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8171, predictive_accuracy: 0.8163, prior_entropy: 1.0314, recall: 0.8163, relative_absolute_error: 0.5394, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.7953, scimark_benchmark: 946.7845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.8413, kappa: 0.6521, kb_relative_information_score: 164.5437, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8421, predictive_accuracy: 0.8435, prior_entropy: 1.0314, recall: 0.8435, relative_absolute_error: 0.4026, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.7414, scimark_benchmark: 943.3949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.8105, kappa: 0.5849, kb_relative_information_score: 126.8275, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8105, predictive_accuracy: 0.8129, prior_entropy: 1.0314, recall: 0.8129, relative_absolute_error: 0.5582, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.7602, scimark_benchmark: 937.3559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.8099, kappa: 0.5831, kb_relative_information_score: 153.2554, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8104, predictive_accuracy: 0.8129, prior_entropy: 1.0314, recall: 0.8129, relative_absolute_error: 0.4295, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.259, root_relative_squared_error: 0.8526, scimark_benchmark: 918.1631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8866, f_measure: 0.8062, kappa: 0.5747, kb_relative_information_score: 114.7907, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8069, predictive_accuracy: 0.8095, prior_entropy: 1.0314, recall: 0.8095, relative_absolute_error: 0.6089, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.7636, scimark_benchmark: 931.6221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.8119, kappa: 0.5901, kb_relative_information_score: 160.489, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8114, predictive_accuracy: 0.8129, prior_entropy: 1.0314, recall: 0.8129, relative_absolute_error: 0.3997, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2676, root_relative_squared_error: 0.8811, scimark_benchmark: 941.8493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.8371, kappa: 0.6423, kb_relative_information_score: 149.9158, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.839, predictive_accuracy: 0.8401, prior_entropy: 1.0314, recall: 0.8401, relative_absolute_error: 0.4655, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.7062, scimark_benchmark: 929.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.8219, kappa: 0.6116, kb_relative_information_score: 137.9687, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8215, predictive_accuracy: 0.8231, prior_entropy: 1.0314, recall: 0.8231, relative_absolute_error: 0.5117, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.218, root_relative_squared_error: 0.7176, scimark_benchmark: 945.2245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, f_measure: 0.8095, kappa: 0.5869, kb_relative_information_score: 155.4609, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8095, predictive_accuracy: 0.8095, prior_entropy: 1.0314, recall: 0.8095, relative_absolute_error: 0.4224, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2574, root_relative_squared_error: 0.8474, scimark_benchmark: 941.6556,

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