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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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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: 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
Line: 19
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-c

Supervised Classification on heart-c

Task 278 Supervised Classification heart-c 322 runs submitted
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322 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, build_cpu_time: 0.441, build_memory: 444408256, f_measure: 0.8165, kappa: 0.6371, kb_relative_information_score: 13.0795, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.832, predictive_accuracy: 0.8182, prior_entropy: 1.0792, recall: 0.8182, relative_absolute_error: 0.8991, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2888, root_relative_squared_error: 0.9088, scimark_benchmark: 945.8947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, build_cpu_time: 1.26, build_memory: 496196192, f_measure: 0.8165, kappa: 0.6371, kb_relative_information_score: 12.9025, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.832, predictive_accuracy: 0.8182, prior_entropy: 1.0792, recall: 0.8182, relative_absolute_error: 0.9005, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2893, root_relative_squared_error: 0.9104, scimark_benchmark: 944.9156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, build_cpu_time: 2.339, build_memory: 794847384, f_measure: 0.8165, kappa: 0.6371, kb_relative_information_score: 12.823, mean_absolute_error: 0.1822, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.832, predictive_accuracy: 0.8182, prior_entropy: 1.0792, recall: 0.8182, relative_absolute_error: 0.9012, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.9111, scimark_benchmark: 946.5993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, build_cpu_time: 0.211, build_memory: 745827384, f_measure: 0.8282, kappa: 0.6567, kb_relative_information_score: 43.8856, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8296, predictive_accuracy: 0.8283, prior_entropy: 1.0792, recall: 0.8283, relative_absolute_error: 0.5716, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.7251, scimark_benchmark: 946.5993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, build_cpu_time: 0.098, build_memory: 3479650176, f_measure: 0.8279, kappa: 0.6569, kb_relative_information_score: 43.7328, mean_absolute_error: 0.1163, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8318, predictive_accuracy: 0.8283, prior_entropy: 1.0792, recall: 0.8283, relative_absolute_error: 0.5752, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.7215, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, build_cpu_time: 0.027, build_memory: 955986072, f_measure: 0.808, kappa: 0.6164, kb_relative_information_score: 46.5068, mean_absolute_error: 0.1082, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8093, predictive_accuracy: 0.8081, prior_entropy: 1.0792, recall: 0.8081, relative_absolute_error: 0.5353, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.7196, scimark_benchmark: 929.0404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, build_cpu_time: 0.052, build_memory: 2862728952, f_measure: 0.8482, kappa: 0.6972, kb_relative_information_score: 47.139, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8522, predictive_accuracy: 0.8485, prior_entropy: 1.0792, recall: 0.8485, relative_absolute_error: 0.5309, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.7058, scimark_benchmark: 874.7213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, build_cpu_time: 0.072, build_memory: 775679840, f_measure: 0.8181, kappa: 0.6365, kb_relative_information_score: 46.0811, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8188, predictive_accuracy: 0.8182, prior_entropy: 1.0792, recall: 0.8182, relative_absolute_error: 0.5428, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.7149, scimark_benchmark: 917.0415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, build_cpu_time: 5.255, build_memory: 2548338128, f_measure: 0.8384, kappa: 0.6769, kb_relative_information_score: 45.1312, mean_absolute_error: 0.1129, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.839, predictive_accuracy: 0.8384, prior_entropy: 1.0792, recall: 0.8384, relative_absolute_error: 0.5585, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.7022, scimark_benchmark: 890.0967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, build_cpu_time: 2.985, build_memory: 607809944, f_measure: 0.8384, kappa: 0.6769, kb_relative_information_score: 45.0524, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.839, predictive_accuracy: 0.8384, prior_entropy: 1.0792, recall: 0.8384, relative_absolute_error: 0.56, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.7015, scimark_benchmark: 940.7455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, build_cpu_time: 1.303, build_memory: 618597144, f_measure: 0.8283, kappa: 0.6566, kb_relative_information_score: 45.0284, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8285, predictive_accuracy: 0.8283, prior_entropy: 1.0792, recall: 0.8283, relative_absolute_error: 0.5601, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.7011, scimark_benchmark: 945.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, build_cpu_time: 1.008, build_memory: 1095941904, f_measure: 0.8283, kappa: 0.6566, kb_relative_information_score: 44.3586, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8285, predictive_accuracy: 0.8283, prior_entropy: 1.0792, recall: 0.8283, relative_absolute_error: 0.567, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.7062, scimark_benchmark: 908.5008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, build_cpu_time: 0.615, build_memory: 1267630096, f_measure: 0.8283, kappa: 0.6566, kb_relative_information_score: 44.3586, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8285, predictive_accuracy: 0.8283, prior_entropy: 1.0792, recall: 0.8283, relative_absolute_error: 0.567, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.7062, scimark_benchmark: 911.0394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, build_cpu_time: 0.479, build_memory: 924120008, f_measure: 0.8283, kappa: 0.6566, kb_relative_information_score: 44.8769, mean_absolute_error: 0.1134, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8285, predictive_accuracy: 0.8283, prior_entropy: 1.0792, recall: 0.8283, relative_absolute_error: 0.5612, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.7026, scimark_benchmark: 942.3187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, build_cpu_time: 0.003, build_memory: 916694248, f_measure: 0.7146, kappa: 0.4354, kb_relative_information_score: 37.8396, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.727, predictive_accuracy: 0.7172, prior_entropy: 1.0792, recall: 0.7172, relative_absolute_error: 0.6177, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.8366, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, build_cpu_time: 0.004, build_memory: 1582593456, f_measure: 0.7146, kappa: 0.4354, kb_relative_information_score: 37.8396, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.727, predictive_accuracy: 0.7172, prior_entropy: 1.0792, recall: 0.7172, relative_absolute_error: 0.6177, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.8366, scimark_benchmark: 942.3187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, build_cpu_time: 0.003, build_memory: 360303376, f_measure: 0.7146, kappa: 0.4354, kb_relative_information_score: 37.8396, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.727, predictive_accuracy: 0.7172, prior_entropy: 1.0792, recall: 0.7172, relative_absolute_error: 0.6177, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.8366, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, build_cpu_time: 0.003, build_memory: 606417272, f_measure: 0.7146, kappa: 0.4354, kb_relative_information_score: 37.8396, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.727, predictive_accuracy: 0.7172, prior_entropy: 1.0792, recall: 0.7172, relative_absolute_error: 0.6177, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.8366, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, build_cpu_time: 0.007, build_memory: 152038544, f_measure: 0.7146, kappa: 0.4354, kb_relative_information_score: 37.8295, mean_absolute_error: 0.1251, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.727, predictive_accuracy: 0.7172, prior_entropy: 1.0792, recall: 0.7172, relative_absolute_error: 0.6187, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.8242, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8594, build_cpu_time: 0.01, build_memory: 485087680, f_measure: 0.7349, kappa: 0.4758, kb_relative_information_score: 39.4609, mean_absolute_error: 0.1225, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.748, predictive_accuracy: 0.7374, prior_entropy: 1.0792, recall: 0.7374, relative_absolute_error: 0.6062, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2511, root_relative_squared_error: 0.7901, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, build_cpu_time: 0.034, build_memory: 299786728, f_measure: 0.7146, kappa: 0.4354, kb_relative_information_score: 39.3606, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.727, predictive_accuracy: 0.7172, prior_entropy: 1.0792, recall: 0.7172, relative_absolute_error: 0.6007, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2559, root_relative_squared_error: 0.8053, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, build_cpu_time: 0.03, build_memory: 152231696, f_measure: 0.7146, kappa: 0.4354, kb_relative_information_score: 39.3606, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.727, predictive_accuracy: 0.7172, prior_entropy: 1.0792, recall: 0.7172, relative_absolute_error: 0.6007, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2559, root_relative_squared_error: 0.8053, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8792, build_cpu_time: 0.111, build_memory: 258958992, f_measure: 0.8176, kappa: 0.6368, kb_relative_information_score: 45.3458, mean_absolute_error: 0.1115, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8231, predictive_accuracy: 0.8182, prior_entropy: 1.0792, recall: 0.8182, relative_absolute_error: 0.5518, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.735, scimark_benchmark: 947.2295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, build_cpu_time: 0.057, build_memory: 1228845776, f_measure: 0.8485, kappa: 0.6969, kb_relative_information_score: 64.3999, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8486, predictive_accuracy: 0.8485, prior_entropy: 1.0792, recall: 0.8485, relative_absolute_error: 0.3264, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.6351, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, build_cpu_time: 0.07, build_memory: 791839576, f_measure: 0.8485, kappa: 0.6969, kb_relative_information_score: 64.3999, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8486, predictive_accuracy: 0.8485, prior_entropy: 1.0792, recall: 0.8485, relative_absolute_error: 0.3264, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.6351, scimark_benchmark: 927.7693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, build_cpu_time: 0.063, build_memory: 269857936, f_measure: 0.8485, kappa: 0.6969, kb_relative_information_score: 64.3999, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8486, predictive_accuracy: 0.8485, prior_entropy: 1.0792, recall: 0.8485, relative_absolute_error: 0.3264, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.6351, scimark_benchmark: 905.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, build_cpu_time: 0.064, build_memory: 259463872, f_measure: 0.8485, kappa: 0.6969, kb_relative_information_score: 64.3999, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8486, predictive_accuracy: 0.8485, prior_entropy: 1.0792, recall: 0.8485, relative_absolute_error: 0.3264, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.6351, scimark_benchmark: 939.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9216, build_cpu_time: 85.65, build_memory: 3433785376, f_measure: 0.8275, kappa: 0.657, kb_relative_information_score: 56.6694, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8352, predictive_accuracy: 0.8283, prior_entropy: 1.0792, recall: 0.8283, relative_absolute_error: 0.4129, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.6953, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, build_cpu_time: 204.339, build_memory: 1088478016, f_measure: 0.8275, kappa: 0.657, kb_relative_information_score: 55.9105, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8352, predictive_accuracy: 0.8283, prior_entropy: 1.0792, recall: 0.8283, relative_absolute_error: 0.4206, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.702, scimark_benchmark: 945.6653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8849, build_cpu_time: 0.021, build_memory: 490634904, f_measure: 0.7667, kappa: 0.536, kb_relative_information_score: 36.1929, mean_absolute_error: 0.1329, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.7735, predictive_accuracy: 0.7677, prior_entropy: 1.0792, recall: 0.7677, relative_absolute_error: 0.6573, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.245, root_relative_squared_error: 0.771, scimark_benchmark: 942.9616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.889, build_cpu_time: 0.02, build_memory: 1235095808, f_measure: 0.7771, kappa: 0.5561, kb_relative_information_score: 36.6522, mean_absolute_error: 0.1322, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.7822, predictive_accuracy: 0.7778, prior_entropy: 1.0792, recall: 0.7778, relative_absolute_error: 0.6538, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2429, root_relative_squared_error: 0.7646, scimark_benchmark: 940.8364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, build_cpu_time: 0.017, build_memory: 28791232, f_measure: 0.7874, kappa: 0.5761, kb_relative_information_score: 36.8082, mean_absolute_error: 0.1319, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.7911, predictive_accuracy: 0.7879, prior_entropy: 1.0792, recall: 0.7879, relative_absolute_error: 0.6525, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.7602, scimark_benchmark: 946.5361,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, build_cpu_time: 5.25, build_memory: 145213552, f_measure: 0.8275, kappa: 0.657, kb_relative_information_score: 49.7086, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8352, predictive_accuracy: 0.8283, prior_entropy: 1.0792, recall: 0.8283, relative_absolute_error: 0.4962, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.6859, scimark_benchmark: 939.0518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, build_cpu_time: 10.26, build_memory: 945934432, f_measure: 0.8275, kappa: 0.657, kb_relative_information_score: 51.8646, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8352, predictive_accuracy: 0.8283, prior_entropy: 1.0792, recall: 0.8283, relative_absolute_error: 0.4743, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.6662, scimark_benchmark: 946.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9376, build_cpu_time: 19.768, build_memory: 541132336, f_measure: 0.8275, kappa: 0.657, kb_relative_information_score: 52.605, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8352, predictive_accuracy: 0.8283, prior_entropy: 1.0792, recall: 0.8283, relative_absolute_error: 0.467, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.6599, scimark_benchmark: 944.5105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, build_cpu_time: 39.828, build_memory: 103520264, f_measure: 0.8171, kappa: 0.6369, kb_relative_information_score: 52.4585, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.827, predictive_accuracy: 0.8182, prior_entropy: 1.0792, recall: 0.8182, relative_absolute_error: 0.4671, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.6665, scimark_benchmark: 909.9339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, build_cpu_time: 0.607, build_memory: 1810720648, f_measure: 0.8176, kappa: 0.6368, kb_relative_information_score: 47.7467, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8231, predictive_accuracy: 0.8182, prior_entropy: 1.0792, recall: 0.8182, relative_absolute_error: 0.5232, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.7126, scimark_benchmark: 945.9883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, build_cpu_time: 1.165, build_memory: 1346464040, f_measure: 0.8176, kappa: 0.6368, kb_relative_information_score: 48.1251, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8231, predictive_accuracy: 0.8182, prior_entropy: 1.0792, recall: 0.8182, relative_absolute_error: 0.52, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.7075, scimark_benchmark: 945.0355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, build_cpu_time: 0.35, build_memory: 537723176, f_measure: 0.798, kappa: 0.5959, kb_relative_information_score: 46.6048, mean_absolute_error: 0.1086, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.798, predictive_accuracy: 0.798, prior_entropy: 1.0792, recall: 0.798, relative_absolute_error: 0.5375, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.7045, scimark_benchmark: 929.7976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, build_cpu_time: 0.2, build_memory: 45859584, f_measure: 0.8181, kappa: 0.6365, kb_relative_information_score: 46.6818, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8188, predictive_accuracy: 0.8182, prior_entropy: 1.0792, recall: 0.8182, relative_absolute_error: 0.5385, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.7023, scimark_benchmark: 929.8881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, build_cpu_time: 0.064, build_memory: 2850746088, f_measure: 0.8081, kappa: 0.6162, kb_relative_information_score: 46.8124, mean_absolute_error: 0.1084, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8082, predictive_accuracy: 0.8081, prior_entropy: 1.0792, recall: 0.8081, relative_absolute_error: 0.5362, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.7026, scimark_benchmark: 941.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, build_cpu_time: 0.068, build_memory: 1341724224, f_measure: 0.8081, kappa: 0.6162, kb_relative_information_score: 46.8124, mean_absolute_error: 0.1084, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8082, predictive_accuracy: 0.8081, prior_entropy: 1.0792, recall: 0.8081, relative_absolute_error: 0.5362, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.7026, scimark_benchmark: 914.1959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, build_cpu_time: 0.03, build_memory: 172304168, f_measure: 0.8081, kappa: 0.6162, kb_relative_information_score: 46.1191, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.8082, predictive_accuracy: 0.8081, prior_entropy: 1.0792, recall: 0.8081, relative_absolute_error: 0.5435, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.7172, scimark_benchmark: 943.8543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7586, build_cpu_time: 0.001, build_memory: 1743029784, f_measure: 0.7573, kappa: 0.5155, kb_relative_information_score: 42.3308, mean_absolute_error: 0.1163, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.7595, predictive_accuracy: 0.7576, prior_entropy: 1.0792, recall: 0.7576, relative_absolute_error: 0.5753, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2827, root_relative_squared_error: 0.8898, scimark_benchmark: 944.3256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7586, build_cpu_time: 0.003, build_memory: 626395928, f_measure: 0.7573, kappa: 0.5155, kb_relative_information_score: 42.3308, mean_absolute_error: 0.1163, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.7595, predictive_accuracy: 0.7576, prior_entropy: 1.0792, recall: 0.7576, relative_absolute_error: 0.5753, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2827, root_relative_squared_error: 0.8898, scimark_benchmark: 945.8316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7586, build_cpu_time: 0.003, build_memory: 569143880, f_measure: 0.7573, kappa: 0.5155, kb_relative_information_score: 42.3308, mean_absolute_error: 0.1163, mean_prior_absolute_error: 0.2021, number_of_instances: 99, precision: 0.7595, predictive_accuracy: 0.7576, prior_entropy: 1.0792, recall: 0.7576, relative_absolute_error: 0.5753, root_mean_prior_squared_error: 0.3177, root_mean_squared_error: 0.2827, root_relative_squared_error: 0.8898, scimark_benchmark: 923.3092,

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