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Function: require_once

A PHP Error was encountered

Severity: Warning

Message: fopen(/data/log/sql.log): failed to open stream: Permission denied

Filename: models/Log.php

Line Number: 37

Backtrace:

File: /var/www/openml/openml_OS/models/Log.php
Line: 37
Function: fopen

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

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

File: /var/www/openml/openml_OS/helpers/cms_helper.php
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File: /var/www/openml/openml_OS/controllers/Frontend.php
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Function: loadpage

File: /var/www/openml/index.php
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Function: require_once

A PHP Error was encountered

Severity: Warning

Message: fopen(/data/log/sql.log): failed to open stream: Permission denied

Filename: models/Log.php

Line Number: 37

Backtrace:

File: /var/www/openml/openml_OS/models/Log.php
Line: 37
Function: fopen

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

File: /var/www/openml/openml_OS/views/pages/frontend/t/pre.php
Line: 117
Function: query

File: /var/www/openml/openml_OS/helpers/cms_helper.php
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Function: view

File: /var/www/openml/openml_OS/controllers/Frontend.php
Line: 85
Function: loadpage

File: /var/www/openml/index.php
Line: 337
Function: require_once

OpenML
OpenML
Supervised Classification on glass

Supervised Classification on glass

Task 270 Supervised Classification glass 325 runs submitted
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325 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8755, f_measure: 0.6191, kappa: 0.5068, kb_relative_information_score: 42.1756, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6191, predictive_accuracy: 0.6429, prior_entropy: 2.2315, recall: 0.6429, relative_absolute_error: 0.4842, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2589, root_relative_squared_error: 0.794, scimark_benchmark: 889.3151, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2012, kb_relative_information_score: 1.7933, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.138, predictive_accuracy: 0.3714, prior_entropy: 2.2315, recall: 0.3714, relative_absolute_error: 1.0474, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3307, root_relative_squared_error: 1.0141, scimark_benchmark: 912.5006, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7339, f_measure: 0.4817, kappa: 0.3402, kb_relative_information_score: 8.2457, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.4344, predictive_accuracy: 0.5429, prior_entropy: 2.2315, recall: 0.5429, relative_absolute_error: 1.0135, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3196, root_relative_squared_error: 0.9801, scimark_benchmark: 939.449, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.6118, kappa: 0.481, kb_relative_information_score: 36.0552, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6089, predictive_accuracy: 0.6286, prior_entropy: 2.2315, recall: 0.6286, relative_absolute_error: 0.6337, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.263, root_relative_squared_error: 0.8066, scimark_benchmark: 938.202, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6399, f_measure: 0.3195, kappa: 0.2922, kb_relative_information_score: 24.2288, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.2821, predictive_accuracy: 0.4571, prior_entropy: 2.2315, recall: 0.4571, relative_absolute_error: 0.7293, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3938, root_relative_squared_error: 1.2077, scimark_benchmark: 1250.8301, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, f_measure: 0.6371, kappa: 0.5163, kb_relative_information_score: 30.6706, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6609, predictive_accuracy: 0.6429, prior_entropy: 2.2315, recall: 0.6429, relative_absolute_error: 0.6609, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2813, root_relative_squared_error: 0.8626, scimark_benchmark: 1309.3173, usercpu_time_millis: 340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.7303, kappa: 0.6263, kb_relative_information_score: 42.6216, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7475, predictive_accuracy: 0.7286, prior_entropy: 2.2315, recall: 0.7286, relative_absolute_error: 0.5287, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.7202, scimark_benchmark: 1301.9956, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.7386, kappa: 0.6601, kb_relative_information_score: 49.3806, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7719, predictive_accuracy: 0.7429, prior_entropy: 2.2315, recall: 0.7429, relative_absolute_error: 0.3455, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2711, root_relative_squared_error: 0.8312, scimark_benchmark: 1319.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7754, f_measure: 0.5105, kappa: 0.3715, kb_relative_information_score: 27.0584, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.4942, predictive_accuracy: 0.5429, prior_entropy: 2.2315, recall: 0.5429, relative_absolute_error: 0.7086, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3149, root_relative_squared_error: 0.9656, scimark_benchmark: 1280.6952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7534, f_measure: 0.6494, kappa: 0.5291, kb_relative_information_score: 36.2239, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.71, predictive_accuracy: 0.6571, prior_entropy: 2.2315, recall: 0.6571, relative_absolute_error: 0.5286, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2967, root_relative_squared_error: 0.9099, scimark_benchmark: 1341.5768, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8254, f_measure: 0.743, kappa: 0.6621, kb_relative_information_score: 46.2657, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7813, predictive_accuracy: 0.7571, prior_entropy: 2.2315, recall: 0.7571, relative_absolute_error: 0.3263, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2634, root_relative_squared_error: 0.8078, scimark_benchmark: 1280.6952, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1385, kb_relative_information_score: 6.7861, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.09, predictive_accuracy: 0.3, prior_entropy: 2.2315, recall: 0.3, relative_absolute_error: 0.9404, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.4472, root_relative_squared_error: 1.3714, scimark_benchmark: 1384.4418, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7762, f_measure: 0.6288, kappa: 0.5048, kb_relative_information_score: 37.3268, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6597, predictive_accuracy: 0.6286, prior_entropy: 2.2315, recall: 0.6286, relative_absolute_error: 0.5205, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3094, root_relative_squared_error: 0.9488, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7021, f_measure: 0.5059, kappa: 0.4005, kb_relative_information_score: 27.9346, mean_absolute_error: 0.1224, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.492, predictive_accuracy: 0.5714, prior_entropy: 2.2315, recall: 0.5714, relative_absolute_error: 0.5758, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3499, root_relative_squared_error: 1.073, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, f_measure: 0.5543, kappa: 0.4, kb_relative_information_score: 31.4891, mean_absolute_error: 0.1224, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.5595, predictive_accuracy: 0.5714, prior_entropy: 2.2315, recall: 0.5714, relative_absolute_error: 0.5758, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3499, root_relative_squared_error: 1.073, scimark_benchmark: 977.6382, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2012, kb_relative_information_score: 0.5596, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.138, predictive_accuracy: 0.3714, prior_entropy: 2.2315, recall: 0.3714, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3267, root_relative_squared_error: 1.0018, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7046, f_measure: 0.5753, kappa: 0.4048, kb_relative_information_score: 31.8804, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6116, predictive_accuracy: 0.5714, prior_entropy: 2.2315, recall: 0.5714, relative_absolute_error: 0.6042, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3277, root_relative_squared_error: 1.005, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, build_cpu_time: 0.228, build_memory: 240130944, f_measure: 0.4817, kappa: 0.3402, kb_relative_information_score: 5.7442, mean_absolute_error: 0.2231, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.4344, predictive_accuracy: 0.5429, prior_entropy: 2.2315, recall: 0.5429, relative_absolute_error: 1.0489, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.9877, scimark_benchmark: 943.0278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, build_cpu_time: 0.177, build_memory: 2795701520, f_measure: 0.4817, kappa: 0.3402, kb_relative_information_score: 5.7442, mean_absolute_error: 0.2231, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.4344, predictive_accuracy: 0.5429, prior_entropy: 2.2315, recall: 0.5429, relative_absolute_error: 1.0489, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.9877, scimark_benchmark: 938.8409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, build_cpu_time: 0.192, build_memory: 1543473672, f_measure: 0.4817, kappa: 0.3402, kb_relative_information_score: 5.7442, mean_absolute_error: 0.2231, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.4344, predictive_accuracy: 0.5429, prior_entropy: 2.2315, recall: 0.5429, relative_absolute_error: 1.0489, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.9877, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, build_cpu_time: 0.2, build_memory: 1991971200, f_measure: 0.4817, kappa: 0.3402, kb_relative_information_score: 5.7442, mean_absolute_error: 0.2231, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.4344, predictive_accuracy: 0.5429, prior_entropy: 2.2315, recall: 0.5429, relative_absolute_error: 1.0489, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.9877, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, build_cpu_time: 0.2, build_memory: 476813744, f_measure: 0.4817, kappa: 0.3402, kb_relative_information_score: 5.7442, mean_absolute_error: 0.2231, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.4344, predictive_accuracy: 0.5429, prior_entropy: 2.2315, recall: 0.5429, relative_absolute_error: 1.0489, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.9877, scimark_benchmark: 943.1873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, build_cpu_time: 0.017, build_memory: 508390344, f_measure: 0.7039, kappa: 0.6061, kb_relative_information_score: 44.0233, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7069, predictive_accuracy: 0.7143, prior_entropy: 2.2315, recall: 0.7143, relative_absolute_error: 0.4772, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.7427, scimark_benchmark: 942.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, build_cpu_time: 0.019, build_memory: 418286760, f_measure: 0.7039, kappa: 0.6061, kb_relative_information_score: 44.0233, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7069, predictive_accuracy: 0.7143, prior_entropy: 2.2315, recall: 0.7143, relative_absolute_error: 0.4772, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.7427, scimark_benchmark: 939.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, build_cpu_time: 0.012, build_memory: 100094872, f_measure: 0.7039, kappa: 0.6061, kb_relative_information_score: 44.0233, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7069, predictive_accuracy: 0.7143, prior_entropy: 2.2315, recall: 0.7143, relative_absolute_error: 0.4772, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.7427, scimark_benchmark: 942.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, build_cpu_time: 0.016, build_memory: 45849944, f_measure: 0.7039, kappa: 0.6061, kb_relative_information_score: 44.0233, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7069, predictive_accuracy: 0.7143, prior_entropy: 2.2315, recall: 0.7143, relative_absolute_error: 0.4772, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.7427, scimark_benchmark: 941.8181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, build_cpu_time: 0.017, build_memory: 1954592000, f_measure: 0.7039, kappa: 0.6061, kb_relative_information_score: 44.0233, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7069, predictive_accuracy: 0.7143, prior_entropy: 2.2315, recall: 0.7143, relative_absolute_error: 0.4772, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.7427, scimark_benchmark: 915.3856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7502, build_cpu_time: 0.006, build_memory: 64761384, f_measure: 0.6618, kappa: 0.5253, kb_relative_information_score: 39.9703, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6998, predictive_accuracy: 0.6571, prior_entropy: 2.2315, recall: 0.6571, relative_absolute_error: 0.4606, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.313, root_relative_squared_error: 0.9598, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7502, build_cpu_time: 0.004, build_memory: 2162622504, f_measure: 0.6618, kappa: 0.5253, kb_relative_information_score: 39.9703, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6998, predictive_accuracy: 0.6571, prior_entropy: 2.2315, recall: 0.6571, relative_absolute_error: 0.4606, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.313, root_relative_squared_error: 0.9598, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7502, build_cpu_time: 0.002, build_memory: 2889989760, f_measure: 0.6618, kappa: 0.5253, kb_relative_information_score: 39.9703, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6998, predictive_accuracy: 0.6571, prior_entropy: 2.2315, recall: 0.6571, relative_absolute_error: 0.4606, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.313, root_relative_squared_error: 0.9598, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7502, build_cpu_time: 0.001, build_memory: 1939794592, f_measure: 0.6618, kappa: 0.5253, kb_relative_information_score: 39.9703, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6998, predictive_accuracy: 0.6571, prior_entropy: 2.2315, recall: 0.6571, relative_absolute_error: 0.4606, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.313, root_relative_squared_error: 0.9598, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7502, build_cpu_time: 0.002, build_memory: 708387616, f_measure: 0.6618, kappa: 0.5253, kb_relative_information_score: 39.9703, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6998, predictive_accuracy: 0.6571, prior_entropy: 2.2315, recall: 0.6571, relative_absolute_error: 0.4606, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.313, root_relative_squared_error: 0.9598, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, build_cpu_time: 0.05, build_memory: 1284849472, f_measure: 0.7441, kappa: 0.6455, kb_relative_information_score: 42.5945, mean_absolute_error: 0.1136, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7599, predictive_accuracy: 0.7429, prior_entropy: 2.2315, recall: 0.7429, relative_absolute_error: 0.5341, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.7132, scimark_benchmark: 943.8094,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, build_cpu_time: 0.216, build_memory: 66025864, f_measure: 0.7571, kappa: 0.685, kb_relative_information_score: 46.7081, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.756, predictive_accuracy: 0.7714, prior_entropy: 2.2315, recall: 0.7714, relative_absolute_error: 0.3354, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2449, root_relative_squared_error: 0.7511, scimark_benchmark: 932.5237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, build_cpu_time: 0.168, build_memory: 1049603632, f_measure: 0.7604, kappa: 0.6676, kb_relative_information_score: 49.3813, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7778, predictive_accuracy: 0.7571, prior_entropy: 2.2315, recall: 0.7571, relative_absolute_error: 0.353, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.7425, scimark_benchmark: 945.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, build_cpu_time: 0.002, build_memory: 25551008, f_measure: 0.6924, kappa: 0.5687, kb_relative_information_score: 40.2195, mean_absolute_error: 0.1112, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7197, predictive_accuracy: 0.6857, prior_entropy: 2.2315, recall: 0.6857, relative_absolute_error: 0.523, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.8039, scimark_benchmark: 944.3832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, build_cpu_time: 0.001, build_memory: 1416686992, f_measure: 0.7202, kappa: 0.6111, kb_relative_information_score: 41.4948, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.7379, predictive_accuracy: 0.7143, prior_entropy: 2.2315, recall: 0.7143, relative_absolute_error: 0.5163, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.7951, scimark_benchmark: 936.8525,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7604, build_cpu_time: 0.015, build_memory: 1224450696, f_measure: 0.5794, kappa: 0.444, kb_relative_information_score: 24.6342, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6465, predictive_accuracy: 0.6143, prior_entropy: 2.2315, recall: 0.6143, relative_absolute_error: 0.675, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.9143, scimark_benchmark: 936.8525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.774, build_memory: 567809552, f_measure: 0.6633, kappa: 0.5446, kb_relative_information_score: 39.3604, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6946, predictive_accuracy: 0.6571, prior_entropy: 2.2315, recall: 0.6571, relative_absolute_error: 0.4926, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3061, root_relative_squared_error: 0.9386, scimark_benchmark: 844.3635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.052, build_memory: 803437344, f_measure: 0.2012, kb_relative_information_score: 1.7933, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.138, predictive_accuracy: 0.3714, prior_entropy: 2.2315, recall: 0.3714, relative_absolute_error: 1.0474, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3307, root_relative_squared_error: 1.0141, scimark_benchmark: 945.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7339, build_cpu_time: 0.065, build_memory: 471983896, f_measure: 0.4817, kappa: 0.3402, kb_relative_information_score: 8.2457, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.4344, predictive_accuracy: 0.5429, prior_entropy: 2.2315, recall: 0.5429, relative_absolute_error: 1.0135, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3196, root_relative_squared_error: 0.9801, scimark_benchmark: 909.8271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7752, build_cpu_time: 0.038, build_memory: 1233098176, f_measure: 0.6339, kappa: 0.5034, kb_relative_information_score: 36.1265, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.652, predictive_accuracy: 0.6286, prior_entropy: 2.2315, recall: 0.6286, relative_absolute_error: 0.6063, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2941, root_relative_squared_error: 0.9018, scimark_benchmark: 942.9279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7544, build_memory: 551549696, f_measure: 0.4612, kappa: 0.3432, kb_relative_information_score: 29.7354, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6125, predictive_accuracy: 0.4857, prior_entropy: 2.2315, recall: 0.4857, relative_absolute_error: 0.733, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3367, root_relative_squared_error: 1.0324, scimark_benchmark: 940.7816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, build_cpu_time: 0.012, build_memory: 203418664, f_measure: 0.6618, kappa: 0.5821, kb_relative_information_score: 35.4368, mean_absolute_error: 0.1335, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6696, predictive_accuracy: 0.7, prior_entropy: 2.2315, recall: 0.7, relative_absolute_error: 0.6275, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2614, root_relative_squared_error: 0.8017, scimark_benchmark: 920.6941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7136, build_cpu_time: 0.002, build_memory: 50202816, f_measure: 0.2496, kappa: 0.2256, kb_relative_information_score: 20.117, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.1788, predictive_accuracy: 0.4143, prior_entropy: 2.2315, recall: 0.4143, relative_absolute_error: 0.8644, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3053, root_relative_squared_error: 0.9363, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7021, build_memory: 128595992, f_measure: 0.5059, kappa: 0.4005, kb_relative_information_score: 27.9346, mean_absolute_error: 0.1224, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.492, predictive_accuracy: 0.5714, prior_entropy: 2.2315, recall: 0.5714, relative_absolute_error: 0.5758, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3499, root_relative_squared_error: 1.073, scimark_benchmark: 943.9113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.001, build_memory: 308183288, f_measure: 0.2012, kb_relative_information_score: 0.5596, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.138, predictive_accuracy: 0.3714, prior_entropy: 2.2315, recall: 0.3714, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3267, root_relative_squared_error: 1.0018, scimark_benchmark: 946.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_memory: 882829832, f_measure: 0.2012, kb_relative_information_score: 0.5596, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.138, predictive_accuracy: 0.3714, prior_entropy: 2.2315, recall: 0.3714, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3267, root_relative_squared_error: 1.0018, scimark_benchmark: 922.2602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_memory: 143157616, f_measure: 0.2012, kb_relative_information_score: 0.5596, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.138, predictive_accuracy: 0.3714, prior_entropy: 2.2315, recall: 0.3714, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3267, root_relative_squared_error: 1.0018, scimark_benchmark: 938.2445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6074, build_memory: 165071808, f_measure: 0.3068, kappa: 0.2278, kb_relative_information_score: 19.4736, mean_absolute_error: 0.1633, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.3571, predictive_accuracy: 0.4286, prior_entropy: 2.2315, recall: 0.4286, relative_absolute_error: 0.7677, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.4041, root_relative_squared_error: 1.239, scimark_benchmark: 944.7664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8609, build_cpu_time: 29820.125, build_memory: 159608696, f_measure: 0.6636, kappa: 0.542, kb_relative_information_score: 33.8738, mean_absolute_error: 0.125, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6816, predictive_accuracy: 0.6571, prior_entropy: 2.2315, recall: 0.6571, relative_absolute_error: 0.5877, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2841, root_relative_squared_error: 0.8712, scimark_benchmark: 929.1897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, build_cpu_time: 0.47, build_memory: 1385432768, f_measure: 0.4449, kappa: 0.3149, kb_relative_information_score: 8.074, mean_absolute_error: 0.2165, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.486, predictive_accuracy: 0.5143, prior_entropy: 2.2315, recall: 0.5143, relative_absolute_error: 1.0178, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.9819, scimark_benchmark: 938.2568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7797, build_cpu_time: 0.977, build_memory: 1473850704, f_measure: 0.4777, kappa: 0.3283, kb_relative_information_score: 8.9925, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.4969, predictive_accuracy: 0.5286, prior_entropy: 2.2315, recall: 0.5286, relative_absolute_error: 1.0155, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3192, root_relative_squared_error: 0.9788, scimark_benchmark: 919.3675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7797, build_cpu_time: 1.134, build_memory: 561085992, f_measure: 0.4777, kappa: 0.3283, kb_relative_information_score: 8.9925, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.4969, predictive_accuracy: 0.5286, prior_entropy: 2.2315, recall: 0.5286, relative_absolute_error: 1.0155, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3192, root_relative_squared_error: 0.9788, scimark_benchmark: 933.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, build_cpu_time: 1.964, build_memory: 339027984, f_measure: 0.4493, kappa: 0.3071, kb_relative_information_score: 9.4372, mean_absolute_error: 0.2157, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.4169, predictive_accuracy: 0.5143, prior_entropy: 2.2315, recall: 0.5143, relative_absolute_error: 1.0142, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.977, scimark_benchmark: 935.2304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7827, build_cpu_time: 3.823, build_memory: 1350652168, f_measure: 0.479, kappa: 0.3303, kb_relative_information_score: 9.1286, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.4411, predictive_accuracy: 0.5429, prior_entropy: 2.2315, recall: 0.5429, relative_absolute_error: 1.0154, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.319, root_relative_squared_error: 0.9783, scimark_benchmark: 945.7067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, build_cpu_time: 7.567, build_memory: 2704610232, f_measure: 0.4176, kappa: 0.2421, kb_relative_information_score: 8.8708, mean_absolute_error: 0.2162, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.3905, predictive_accuracy: 0.4857, prior_entropy: 2.2315, recall: 0.4857, relative_absolute_error: 1.0168, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.3195, root_relative_squared_error: 0.9798, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, build_cpu_time: 0.166, build_memory: 232258040, f_measure: 0.6578, kappa: 0.5438, kb_relative_information_score: 37.236, mean_absolute_error: 0.1327, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6881, predictive_accuracy: 0.6714, prior_entropy: 2.2315, recall: 0.6714, relative_absolute_error: 0.624, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2493, root_relative_squared_error: 0.7644, scimark_benchmark: 946.1876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, build_cpu_time: 0.158, build_memory: 1185926496, f_measure: 0.6578, kappa: 0.5438, kb_relative_information_score: 37.236, mean_absolute_error: 0.1327, mean_prior_absolute_error: 0.2127, number_of_instances: 70, precision: 0.6881, predictive_accuracy: 0.6714, prior_entropy: 2.2315, recall: 0.6714, relative_absolute_error: 0.624, root_mean_prior_squared_error: 0.3261, root_mean_squared_error: 0.2493, root_relative_squared_error: 0.7644, scimark_benchmark: 938.8806,

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

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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

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