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Severity: Warning

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Backtrace:

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Line: 37
Function: fopen

File: /var/www/openml/openml_OS/core/MY_Database_Read_Model.php
Line: 30
Function: sql

File: /var/www/openml/openml_OS/views/pages/frontend/t/pre.php
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Function: query

File: /var/www/openml/openml_OS/helpers/cms_helper.php
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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: 124
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

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 jEdit_4.2_4.3

Supervised Classification on jEdit_4.2_4.3

Task 3901 Supervised Classification jEdit_4.2_4.3 568 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 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6837, build_cpu_time: 0.0911, build_memory: 722914833.4092, f_measure: 0.6481, kappa: 0.2891, kb_relative_information_score: 76.6774, mean_absolute_error: 0.3989, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6486, predictive_accuracy: 0.6477, prior_entropy: 0.992, recall: 0.6477, relative_absolute_error: 0.8067, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4896, root_relative_squared_error: 0.9847, scimark_benchmark: 945.0554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6837, build_cpu_time: 0.101, build_memory: 605875497.7561, f_measure: 0.6481, kappa: 0.2891, kb_relative_information_score: 76.6774, mean_absolute_error: 0.3989, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6486, predictive_accuracy: 0.6477, prior_entropy: 0.992, recall: 0.6477, relative_absolute_error: 0.8067, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4896, root_relative_squared_error: 0.9847, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6837, build_cpu_time: 0.1093, build_memory: 1401163967.5014, f_measure: 0.6481, kappa: 0.2891, kb_relative_information_score: 76.6774, mean_absolute_error: 0.3989, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6486, predictive_accuracy: 0.6477, prior_entropy: 0.992, recall: 0.6477, relative_absolute_error: 0.8067, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4896, root_relative_squared_error: 0.9847, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6769, build_cpu_time: 0.1085, build_memory: 1567403499.7073, f_measure: 0.6501, kappa: 0.2917, kb_relative_information_score: 70.6963, mean_absolute_error: 0.4069, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6498, predictive_accuracy: 0.6504, prior_entropy: 0.992, recall: 0.6504, relative_absolute_error: 0.8229, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4927, root_relative_squared_error: 0.9909, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7031, build_cpu_time: 0.0257, build_memory: 291802213.3984, f_measure: 0.6466, kappa: 0.2834, kb_relative_information_score: 89.1578, mean_absolute_error: 0.3799, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.648, predictive_accuracy: 0.6504, prior_entropy: 0.992, recall: 0.6504, relative_absolute_error: 0.7683, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4932, root_relative_squared_error: 0.992, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7031, build_cpu_time: 0.0197, build_memory: 1594640691.0569, f_measure: 0.6466, kappa: 0.2834, kb_relative_information_score: 89.1578, mean_absolute_error: 0.3799, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.648, predictive_accuracy: 0.6504, prior_entropy: 0.992, recall: 0.6504, relative_absolute_error: 0.7683, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4932, root_relative_squared_error: 0.992, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7031, build_cpu_time: 0.0188, build_memory: 153402788.5312, f_measure: 0.6466, kappa: 0.2834, kb_relative_information_score: 89.1578, mean_absolute_error: 0.3799, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.648, predictive_accuracy: 0.6504, prior_entropy: 0.992, recall: 0.6504, relative_absolute_error: 0.7683, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4932, root_relative_squared_error: 0.992, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7031, build_cpu_time: 0.0307, build_memory: 908889603.9892, f_measure: 0.6466, kappa: 0.2834, kb_relative_information_score: 89.1578, mean_absolute_error: 0.3799, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.648, predictive_accuracy: 0.6504, prior_entropy: 0.992, recall: 0.6504, relative_absolute_error: 0.7683, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4932, root_relative_squared_error: 0.992, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7031, build_cpu_time: 0.0194, build_memory: 1067997901.6152, f_measure: 0.6466, kappa: 0.2834, kb_relative_information_score: 89.1578, mean_absolute_error: 0.3799, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.648, predictive_accuracy: 0.6504, prior_entropy: 0.992, recall: 0.6504, relative_absolute_error: 0.7683, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4932, root_relative_squared_error: 0.992, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.673, build_cpu_time: 0.0311, build_memory: 119417279.5881, f_measure: 0.6878, kappa: 0.3678, kb_relative_information_score: 134.6503, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6876, predictive_accuracy: 0.6883, prior_entropy: 0.992, recall: 0.6883, relative_absolute_error: 0.6326, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5566, root_relative_squared_error: 1.1196, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.673, build_cpu_time: 0.0301, build_memory: 718057836.0108, f_measure: 0.6878, kappa: 0.3678, kb_relative_information_score: 134.6503, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6876, predictive_accuracy: 0.6883, prior_entropy: 0.992, recall: 0.6883, relative_absolute_error: 0.6326, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5566, root_relative_squared_error: 1.1196, scimark_benchmark: 919.8064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.673, build_cpu_time: 0.0183, build_memory: 70547958.6125, f_measure: 0.6878, kappa: 0.3678, kb_relative_information_score: 134.6503, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6876, predictive_accuracy: 0.6883, prior_entropy: 0.992, recall: 0.6883, relative_absolute_error: 0.6326, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5566, root_relative_squared_error: 1.1196, scimark_benchmark: 919.5971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7094, build_cpu_time: 0.1058, build_memory: 572134517.7886, f_measure: 0.6779, kappa: 0.3496, kb_relative_information_score: 66.5512, mean_absolute_error: 0.4157, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6786, predictive_accuracy: 0.6775, prior_entropy: 0.992, recall: 0.6775, relative_absolute_error: 0.8408, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4673, root_relative_squared_error: 0.9398, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, build_cpu_time: 2.0075, build_memory: 560182646.3306, f_measure: 0.6585, kappa: 0.3094, kb_relative_information_score: 112.3992, mean_absolute_error: 0.3421, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6585, predictive_accuracy: 0.6585, prior_entropy: 0.992, recall: 0.6585, relative_absolute_error: 0.6919, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5798, root_relative_squared_error: 1.1662, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6855, build_cpu_time: 0.926, build_memory: 816351242.1897, f_measure: 0.6529, kappa: 0.2976, kb_relative_information_score: 111.3513, mean_absolute_error: 0.3435, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6527, predictive_accuracy: 0.6531, prior_entropy: 0.992, recall: 0.6531, relative_absolute_error: 0.6947, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.573, root_relative_squared_error: 1.1524, scimark_benchmark: 939.7798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6696, build_cpu_time: 0.4933, build_memory: 453314580.3577, f_measure: 0.6253, kappa: 0.2409, kb_relative_information_score: 97.8428, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6248, predictive_accuracy: 0.626, prior_entropy: 0.992, recall: 0.626, relative_absolute_error: 0.7305, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5708, root_relative_squared_error: 1.148, scimark_benchmark: 931.8628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6811, build_cpu_time: 0.2296, build_memory: 1537704978.4499, f_measure: 0.6475, kappa: 0.2866, kb_relative_information_score: 95.8948, mean_absolute_error: 0.3644, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6473, predictive_accuracy: 0.6477, prior_entropy: 0.992, recall: 0.6477, relative_absolute_error: 0.7369, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5606, root_relative_squared_error: 1.1275, scimark_benchmark: 937.2031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5583, build_cpu_time: 0.0633, build_memory: 66901010.9702, f_measure: 0.5604, kappa: 0.1484, kb_relative_information_score: 32.5072, mean_absolute_error: 0.4524, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6089, predictive_accuracy: 0.6016, prior_entropy: 0.992, recall: 0.6016, relative_absolute_error: 0.915, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5349, root_relative_squared_error: 1.0758, scimark_benchmark: 919.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6715, build_cpu_time: 0.1224, build_memory: 493889358.6992, f_measure: 0.655, kappa: 0.301, kb_relative_information_score: 77.8513, mean_absolute_error: 0.3948, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6546, predictive_accuracy: 0.6558, prior_entropy: 0.992, recall: 0.6558, relative_absolute_error: 0.7986, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5115, root_relative_squared_error: 1.0288, scimark_benchmark: 945.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6593, build_cpu_time: 0.0021, build_memory: 1489162207.1328, f_measure: 0.6373, kappa: 0.2797, kb_relative_information_score: 45.584, mean_absolute_error: 0.4407, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6487, predictive_accuracy: 0.6369, prior_entropy: 0.992, recall: 0.6369, relative_absolute_error: 0.8913, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4856, root_relative_squared_error: 0.9767, scimark_benchmark: 947.4397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.733, build_cpu_time: 0.1305, build_memory: 463887371.252, f_measure: 0.6876, kappa: 0.3671, kb_relative_information_score: 87.9498, mean_absolute_error: 0.3851, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6873, predictive_accuracy: 0.6883, prior_entropy: 0.992, recall: 0.6883, relative_absolute_error: 0.7789, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4611, root_relative_squared_error: 0.9273, scimark_benchmark: 942.4411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6561, build_cpu_time: 0.013, build_memory: 1400435786.5583, f_measure: 0.631, kappa: 0.2528, kb_relative_information_score: 48.4779, mean_absolute_error: 0.4391, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6306, predictive_accuracy: 0.6314, prior_entropy: 0.992, recall: 0.6314, relative_absolute_error: 0.8881, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4834, root_relative_squared_error: 0.9722, scimark_benchmark: 928.1083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.673, build_cpu_time: 0.0005, build_memory: 224558283.2087, f_measure: 0.6878, kappa: 0.3678, kb_relative_information_score: 134.6503, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6876, predictive_accuracy: 0.6883, prior_entropy: 0.992, recall: 0.6883, relative_absolute_error: 0.6326, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5566, root_relative_squared_error: 1.1196, scimark_benchmark: 936.8525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0494, build_memory: 654435767.5881, f_measure: 0.3936, kb_relative_information_score: 33.6447, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.3056, predictive_accuracy: 0.5528, prior_entropy: 0.992, recall: 0.5528, relative_absolute_error: 0.9044, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.6687, root_relative_squared_error: 1.3449, scimark_benchmark: 844.3635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6274, build_cpu_time: 0.009, build_memory: 116048741.5935, f_measure: 0.633, kappa: 0.2561, kb_relative_information_score: 94.6125, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6325, predictive_accuracy: 0.6341, prior_entropy: 0.992, recall: 0.6341, relative_absolute_error: 0.7399, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.6049, root_relative_squared_error: 1.2165, scimark_benchmark: 920.2722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6238, build_cpu_time: 0.0255, build_memory: 747704912.8238, f_measure: 0.6297, kappa: 0.2493, kb_relative_information_score: 92.5803, mean_absolute_error: 0.3686, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6294, predictive_accuracy: 0.6314, prior_entropy: 0.992, recall: 0.6314, relative_absolute_error: 0.7454, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.6071, root_relative_squared_error: 1.221, scimark_benchmark: 940.4464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6615, build_cpu_time: 0.0068, build_memory: 140470027.0569, f_measure: 0.6198, kappa: 0.2299, kb_relative_information_score: 42.0499, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6194, predictive_accuracy: 0.6206, prior_entropy: 0.992, recall: 0.6206, relative_absolute_error: 0.8988, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4811, root_relative_squared_error: 0.9676, scimark_benchmark: 926.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6393, build_cpu_time: 0.0009, build_memory: 179895438.8076, f_measure: 0.4796, kappa: 0.1353, kb_relative_information_score: 25.4758, mean_absolute_error: 0.4567, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6503, predictive_accuracy: 0.5366, prior_entropy: 0.992, recall: 0.5366, relative_absolute_error: 0.9237, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.636, root_relative_squared_error: 1.2792, scimark_benchmark: 942.9279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7148, build_cpu_time: 0.0162, build_memory: 598605224.0434, f_measure: 0.6644, kappa: 0.3227, kb_relative_information_score: 72.4544, mean_absolute_error: 0.4067, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6653, predictive_accuracy: 0.664, prior_entropy: 0.992, recall: 0.664, relative_absolute_error: 0.8225, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4646, root_relative_squared_error: 0.9345, scimark_benchmark: 945.1122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5967, build_cpu_time: 0.0115, build_memory: 329309286.8943, f_measure: 0.5768, kappa: 0.1776, kb_relative_information_score: 25.386, mean_absolute_error: 0.4635, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6022, predictive_accuracy: 0.5799, prior_entropy: 0.992, recall: 0.5799, relative_absolute_error: 0.9373, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4872, root_relative_squared_error: 0.9799, scimark_benchmark: 920.6941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5325, build_cpu_time: 0.0008, build_memory: 544676376, f_measure: 0.5392, kappa: 0.0655, kb_relative_information_score: 25.5157, mean_absolute_error: 0.458, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.5382, predictive_accuracy: 0.542, prior_entropy: 0.992, recall: 0.542, relative_absolute_error: 0.9263, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.6768, root_relative_squared_error: 1.3611, scimark_benchmark: 943.4022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5325, build_cpu_time: 0.0008, build_memory: 524365920, f_measure: 0.5392, kappa: 0.0655, kb_relative_information_score: 25.5157, mean_absolute_error: 0.458, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.5382, predictive_accuracy: 0.542, prior_entropy: 0.992, recall: 0.542, relative_absolute_error: 0.9263, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.6768, root_relative_squared_error: 1.3611, scimark_benchmark: 946.8522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, build_cpu_time: 0.006, build_memory: 1013137647.458, f_measure: 0.6753, kappa: 0.3445, kb_relative_information_score: 77.0973, mean_absolute_error: 0.4009, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6761, predictive_accuracy: 0.6748, prior_entropy: 0.992, recall: 0.6748, relative_absolute_error: 0.8107, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9997, scimark_benchmark: 922.2602,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6119, build_cpu_time: 0.041, build_memory: 790475527.935, f_measure: 0.5773, kappa: 0.143, kb_relative_information_score: 42.9643, mean_absolute_error: 0.4397, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.5778, predictive_accuracy: 0.5827, prior_entropy: 0.992, recall: 0.5827, relative_absolute_error: 0.8893, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5249, root_relative_squared_error: 1.0557, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7384, build_cpu_time: 0.0599, build_memory: 167601117.8103, f_measure: 0.6836, kappa: 0.362, kb_relative_information_score: 64.8316, mean_absolute_error: 0.4198, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.685, predictive_accuracy: 0.6829, prior_entropy: 0.992, recall: 0.6829, relative_absolute_error: 0.849, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4541, root_relative_squared_error: 0.9134, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6387, build_cpu_time: 0.1074, build_memory: 407503075.252, f_measure: 0.4994, kappa: 0.1519, kb_relative_information_score: 32.7235, mean_absolute_error: 0.4479, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6512, predictive_accuracy: 0.5474, prior_entropy: 0.992, recall: 0.5474, relative_absolute_error: 0.906, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.604, root_relative_squared_error: 1.2147, scimark_benchmark: 905.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6808, build_cpu_time: 0.0397, build_memory: 380063095.1545, f_measure: 0.6588, kappa: 0.308, kb_relative_information_score: 107.1802, mean_absolute_error: 0.3497, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6592, predictive_accuracy: 0.6612, prior_entropy: 0.992, recall: 0.6612, relative_absolute_error: 0.7072, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5711, root_relative_squared_error: 1.1487, scimark_benchmark: 927.7693,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6608, build_cpu_time: 0.0299, build_memory: 73595602.5583, f_measure: 0.6175, kappa: 0.2258, kb_relative_information_score: 42.38, mean_absolute_error: 0.4439, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6173, predictive_accuracy: 0.6179, prior_entropy: 0.992, recall: 0.6179, relative_absolute_error: 0.8977, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4817, root_relative_squared_error: 0.9689, scimark_benchmark: 935.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6681, build_cpu_time: 30.0363, build_memory: 170630610.5366, f_measure: 0.6433, kappa: 0.2839, kb_relative_information_score: 50.6945, mean_absolute_error: 0.433, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6473, predictive_accuracy: 0.6423, prior_entropy: 0.992, recall: 0.6423, relative_absolute_error: 0.8757, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4775, root_relative_squared_error: 0.9604, scimark_benchmark: 946.4687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6686, build_cpu_time: 57.5943, build_memory: 360742037.9837, f_measure: 0.6487, kappa: 0.294, kb_relative_information_score: 51.2667, mean_absolute_error: 0.4323, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.652, predictive_accuracy: 0.6477, prior_entropy: 0.992, recall: 0.6477, relative_absolute_error: 0.8743, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4766, root_relative_squared_error: 0.9585, scimark_benchmark: 943.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, build_cpu_time: 0.0221, build_memory: 1286963723.1436, f_measure: 0.6498, kappa: 0.2909, kb_relative_information_score: 34.585, mean_absolute_error: 0.4555, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6495, predictive_accuracy: 0.6504, prior_entropy: 0.992, recall: 0.6504, relative_absolute_error: 0.9213, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.9515, scimark_benchmark: 929.2431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, build_cpu_time: 0.0119, build_memory: 746058594.8618, f_measure: 0.6527, kappa: 0.2968, kb_relative_information_score: 34.3388, mean_absolute_error: 0.4559, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6524, predictive_accuracy: 0.6531, prior_entropy: 0.992, recall: 0.6531, relative_absolute_error: 0.922, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4736, root_relative_squared_error: 0.9525, scimark_benchmark: 946.5361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, build_cpu_time: 0.0083, build_memory: 783155911.4146, f_measure: 0.6587, kappa: 0.3102, kb_relative_information_score: 34.2259, mean_absolute_error: 0.4561, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.659, predictive_accuracy: 0.6585, prior_entropy: 0.992, recall: 0.6585, relative_absolute_error: 0.9224, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4738, root_relative_squared_error: 0.9529, scimark_benchmark: 1306.6944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6471, build_cpu_time: 0.4469, build_memory: 2289818593.9946, f_measure: 0.6097, kappa: 0.2084, kb_relative_information_score: 70.8429, mean_absolute_error: 0.4021, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6095, predictive_accuracy: 0.6125, prior_entropy: 0.992, recall: 0.6125, relative_absolute_error: 0.8132, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5349, root_relative_squared_error: 1.0758, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6941, build_cpu_time: 0.0025, build_memory: 175302168.5203, f_measure: 0.6457, kappa: 0.2857, kb_relative_information_score: 35.8699, mean_absolute_error: 0.4542, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6472, predictive_accuracy: 0.645, prior_entropy: 0.992, recall: 0.645, relative_absolute_error: 0.9186, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4719, root_relative_squared_error: 0.9492, scimark_benchmark: 1212.2248,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6986, build_cpu_time: 1.6653, build_memory: 693388527.8482, f_measure: 0.643, kappa: 0.2806, kb_relative_information_score: 73.612, mean_absolute_error: 0.4019, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6448, predictive_accuracy: 0.6423, prior_entropy: 0.992, recall: 0.6423, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4806, root_relative_squared_error: 0.9666, scimark_benchmark: 1216.8013,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7169, build_cpu_time: 6.4911, build_memory: 755438831.7832, f_measure: 0.6585, kappa: 0.3094, kb_relative_information_score: 77.9585, mean_absolute_error: 0.3973, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6585, predictive_accuracy: 0.6585, prior_entropy: 0.992, recall: 0.6585, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4683, root_relative_squared_error: 0.942, scimark_benchmark: 946.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7206, build_cpu_time: 12.9249, build_memory: 373468103.7615, f_measure: 0.6533, kappa: 0.2992, kb_relative_information_score: 77.6016, mean_absolute_error: 0.3978, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6535, predictive_accuracy: 0.6531, prior_entropy: 0.992, recall: 0.6531, relative_absolute_error: 0.8045, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4646, root_relative_squared_error: 0.9344, scimark_benchmark: 943.6957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7214, build_cpu_time: 26.4513, build_memory: 271612934.0488, f_measure: 0.6505, kappa: 0.2933, kb_relative_information_score: 77.8468, mean_absolute_error: 0.3978, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6506, predictive_accuracy: 0.6504, prior_entropy: 0.992, recall: 0.6504, relative_absolute_error: 0.8045, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4641, root_relative_squared_error: 0.9334, scimark_benchmark: 941.4059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6968, build_cpu_time: 1.8405, build_memory: 2770183308.4228, f_measure: 0.6527, kappa: 0.2968, kb_relative_information_score: 111.9401, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6524, predictive_accuracy: 0.6531, prior_entropy: 0.992, recall: 0.6531, relative_absolute_error: 0.6934, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5699, root_relative_squared_error: 1.1461, scimark_benchmark: 941.2105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7118, build_cpu_time: 0.9577, build_memory: 1183831622.0271, f_measure: 0.6707, kappa: 0.3325, kb_relative_information_score: 120.3757, mean_absolute_error: 0.3318, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6706, predictive_accuracy: 0.6721, prior_entropy: 0.992, recall: 0.6721, relative_absolute_error: 0.671, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5549, root_relative_squared_error: 1.116, scimark_benchmark: 941.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6891, build_cpu_time: 0.5621, build_memory: 887395354.5366, f_measure: 0.6464, kappa: 0.2833, kb_relative_information_score: 104.5015, mean_absolute_error: 0.3536, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6461, predictive_accuracy: 0.6477, prior_entropy: 0.992, recall: 0.6477, relative_absolute_error: 0.7151, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.1305, scimark_benchmark: 945.0342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.708, build_cpu_time: 0.2452, build_memory: 35355175.2846, f_measure: 0.6767, kappa: 0.3451, kb_relative_information_score: 120.5626, mean_absolute_error: 0.3334, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6764, predictive_accuracy: 0.6775, prior_entropy: 0.992, recall: 0.6775, relative_absolute_error: 0.6743, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5377, root_relative_squared_error: 1.0814, scimark_benchmark: 944.0892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.708, build_cpu_time: 0.2381, build_memory: 82238315.7073, f_measure: 0.6767, kappa: 0.3451, kb_relative_information_score: 120.5626, mean_absolute_error: 0.3334, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6764, predictive_accuracy: 0.6775, prior_entropy: 0.992, recall: 0.6775, relative_absolute_error: 0.6743, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5377, root_relative_squared_error: 1.0814, scimark_benchmark: 938.4414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6999, build_cpu_time: 0.1198, build_memory: 589294072.2168, f_measure: 0.6925, kappa: 0.3766, kb_relative_information_score: 121.3515, mean_absolute_error: 0.3343, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6925, predictive_accuracy: 0.6938, prior_entropy: 0.992, recall: 0.6938, relative_absolute_error: 0.6762, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5288, root_relative_squared_error: 1.0636, scimark_benchmark: 941.5665,

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