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Severity: Warning

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Backtrace:

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

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

File: /var/www/openml/openml_OS/views/pages/frontend/t/pre.php
Line: 104
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

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
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

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-h

Supervised Classification on heart-h

Task 280 Supervised Classification heart-h 306 runs submitted
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306 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, build_cpu_time: 0.571, build_memory: 277918320, f_measure: 0.7721, kappa: 0.4962, kb_relative_information_score: 2.1287, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.7847, predictive_accuracy: 0.7835, prior_entropy: 1.0314, recall: 0.7835, relative_absolute_error: 0.9773, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2904, root_relative_squared_error: 0.9561, scimark_benchmark: 937.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, build_cpu_time: 1.728, build_memory: 1753547368, f_measure: 0.7816, kappa: 0.5169, kb_relative_information_score: 2.4011, mean_absolute_error: 0.1821, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.799, predictive_accuracy: 0.7938, prior_entropy: 1.0314, recall: 0.7938, relative_absolute_error: 0.9752, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2896, root_relative_squared_error: 0.9535, scimark_benchmark: 902.5808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, build_cpu_time: 0.181, build_memory: 1259109144, f_measure: 0.8294, kappa: 0.6237, kb_relative_information_score: 41.1021, mean_absolute_error: 0.1071, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.837, predictive_accuracy: 0.8351, prior_entropy: 1.0314, recall: 0.8351, relative_absolute_error: 0.5734, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.221, root_relative_squared_error: 0.7276, scimark_benchmark: 938.5838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, build_cpu_time: 0.098, build_memory: 1436069512, f_measure: 0.8294, kappa: 0.6237, kb_relative_information_score: 40.8879, mean_absolute_error: 0.1074, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.837, predictive_accuracy: 0.8351, prior_entropy: 1.0314, recall: 0.8351, relative_absolute_error: 0.5749, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.7349, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, build_cpu_time: 0.089, build_memory: 216242224, f_measure: 0.8294, kappa: 0.6237, kb_relative_information_score: 40.8879, mean_absolute_error: 0.1074, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.837, predictive_accuracy: 0.8351, prior_entropy: 1.0314, recall: 0.8351, relative_absolute_error: 0.5749, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.7349, scimark_benchmark: 902.5808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, build_cpu_time: 0.048, build_memory: 1766286888, f_measure: 0.8294, kappa: 0.6237, kb_relative_information_score: 40.428, mean_absolute_error: 0.1075, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.837, predictive_accuracy: 0.8351, prior_entropy: 1.0314, recall: 0.8351, relative_absolute_error: 0.5756, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.7544, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8802, build_cpu_time: 0.028, build_memory: 597379688, f_measure: 0.8021, kappa: 0.5673, kb_relative_information_score: 40.3477, mean_absolute_error: 0.107, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8016, predictive_accuracy: 0.8041, prior_entropy: 1.0314, recall: 0.8041, relative_absolute_error: 0.573, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.7592, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8802, build_cpu_time: 0.025, build_memory: 687099696, f_measure: 0.8021, kappa: 0.5673, kb_relative_information_score: 40.3477, mean_absolute_error: 0.107, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8016, predictive_accuracy: 0.8041, prior_entropy: 1.0314, recall: 0.8041, relative_absolute_error: 0.573, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.7592, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8915, build_cpu_time: 0.029, build_memory: 1434788256, f_measure: 0.8059, kappa: 0.571, kb_relative_information_score: 45.1291, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.818, predictive_accuracy: 0.8144, prior_entropy: 1.0314, recall: 0.8144, relative_absolute_error: 0.5137, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2213, root_relative_squared_error: 0.7284, scimark_benchmark: 941.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8915, build_cpu_time: 0.038, build_memory: 61692616, f_measure: 0.8059, kappa: 0.571, kb_relative_information_score: 45.1291, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.818, predictive_accuracy: 0.8144, prior_entropy: 1.0314, recall: 0.8144, relative_absolute_error: 0.5137, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2213, root_relative_squared_error: 0.7284, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9005, build_cpu_time: 0.068, build_memory: 2053367296, f_measure: 0.8081, kappa: 0.5766, kb_relative_information_score: 46.1735, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8145, predictive_accuracy: 0.8144, prior_entropy: 1.0314, recall: 0.8144, relative_absolute_error: 0.5087, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.7115, scimark_benchmark: 874.7213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, build_cpu_time: 0.108, build_memory: 1186382648, f_measure: 0.8081, kappa: 0.5766, kb_relative_information_score: 45.3723, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8145, predictive_accuracy: 0.8144, prior_entropy: 1.0314, recall: 0.8144, relative_absolute_error: 0.5169, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.7149, scimark_benchmark: 940.4855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, build_cpu_time: 5.726, build_memory: 856177688, f_measure: 0.8294, kappa: 0.6237, kb_relative_information_score: 44.377, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.837, predictive_accuracy: 0.8351, prior_entropy: 1.0314, recall: 0.8351, relative_absolute_error: 0.5319, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.7104, scimark_benchmark: 885.3617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, build_cpu_time: 3.535, build_memory: 246632840, f_measure: 0.8294, kappa: 0.6237, kb_relative_information_score: 44.4086, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.837, predictive_accuracy: 0.8351, prior_entropy: 1.0314, recall: 0.8351, relative_absolute_error: 0.5311, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.7131, scimark_benchmark: 943.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, build_cpu_time: 1.442, build_memory: 2519526136, f_measure: 0.8177, kappa: 0.5975, kb_relative_information_score: 44.4903, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8275, predictive_accuracy: 0.8247, prior_entropy: 1.0314, recall: 0.8247, relative_absolute_error: 0.5305, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.7161, scimark_benchmark: 942.2973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, build_cpu_time: 0.864, build_memory: 311076016, f_measure: 0.8059, kappa: 0.571, kb_relative_information_score: 44.4389, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.818, predictive_accuracy: 0.8144, prior_entropy: 1.0314, recall: 0.8144, relative_absolute_error: 0.5303, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.7163, scimark_benchmark: 940.0535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, build_cpu_time: 0.65, build_memory: 269663608, f_measure: 0.8081, kappa: 0.5766, kb_relative_information_score: 44.5959, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8145, predictive_accuracy: 0.8144, prior_entropy: 1.0314, recall: 0.8144, relative_absolute_error: 0.5301, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.7108, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8032, build_cpu_time: 0.004, build_memory: 1000109056, f_measure: 0.7749, kappa: 0.5028, kb_relative_information_score: 48.6389, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.7817, predictive_accuracy: 0.7835, prior_entropy: 1.0314, recall: 0.7835, relative_absolute_error: 0.4461, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2635, root_relative_squared_error: 0.8675, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, build_cpu_time: 0.007, build_memory: 691407160, f_measure: 0.7963, kappa: 0.5502, kb_relative_information_score: 48.6189, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8046, predictive_accuracy: 0.8041, prior_entropy: 1.0314, recall: 0.8041, relative_absolute_error: 0.4527, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2591, root_relative_squared_error: 0.853, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.794, build_cpu_time: 0.01, build_memory: 591732728, f_measure: 0.7963, kappa: 0.5502, kb_relative_information_score: 49.0979, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8046, predictive_accuracy: 0.8041, prior_entropy: 1.0314, recall: 0.8041, relative_absolute_error: 0.4466, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2596, root_relative_squared_error: 0.8545, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.794, build_cpu_time: 0.009, build_memory: 953647328, f_measure: 0.7963, kappa: 0.5502, kb_relative_information_score: 49.0979, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8046, predictive_accuracy: 0.8041, prior_entropy: 1.0314, recall: 0.8041, relative_absolute_error: 0.4466, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2596, root_relative_squared_error: 0.8545, scimark_benchmark: 937.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7744, build_cpu_time: 0.019, build_memory: 1295047344, f_measure: 0.7963, kappa: 0.5502, kb_relative_information_score: 48.797, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8046, predictive_accuracy: 0.8041, prior_entropy: 1.0314, recall: 0.8041, relative_absolute_error: 0.4519, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2597, root_relative_squared_error: 0.8549, scimark_benchmark: 939.4327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, build_cpu_time: 0.076, build_memory: 691267136, f_measure: 0.8294, kappa: 0.6237, kb_relative_information_score: 42.7239, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.837, predictive_accuracy: 0.8351, prior_entropy: 1.0314, recall: 0.8351, relative_absolute_error: 0.5549, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.7336, scimark_benchmark: 939.4327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, build_cpu_time: 0.057, build_memory: 755969696, f_measure: 0.8409, kappa: 0.6495, kb_relative_information_score: 55.9261, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8466, predictive_accuracy: 0.8454, prior_entropy: 1.0314, recall: 0.8454, relative_absolute_error: 0.3772, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.7346, scimark_benchmark: 947.3846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, build_cpu_time: 82.677, build_memory: 2671785320, f_measure: 0.8507, kappa: 0.6707, kb_relative_information_score: 54.3793, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8595, predictive_accuracy: 0.8557, prior_entropy: 1.0314, recall: 0.8557, relative_absolute_error: 0.403, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.7294, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, build_cpu_time: 206.855, build_memory: 1755308248, f_measure: 0.8507, kappa: 0.6707, kb_relative_information_score: 54.0744, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8595, predictive_accuracy: 0.8557, prior_entropy: 1.0314, recall: 0.8557, relative_absolute_error: 0.4057, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2225, root_relative_squared_error: 0.7324, scimark_benchmark: 941.5509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, build_cpu_time: 0.028, build_memory: 500571424, f_measure: 0.7963, kappa: 0.5502, kb_relative_information_score: 38.8801, mean_absolute_error: 0.1117, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8046, predictive_accuracy: 0.8041, prior_entropy: 1.0314, recall: 0.8041, relative_absolute_error: 0.5983, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2353, root_relative_squared_error: 0.7747, scimark_benchmark: 909.6624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, build_cpu_time: 0.012, build_memory: 2881565976, f_measure: 0.7963, kappa: 0.5502, kb_relative_information_score: 39.0322, mean_absolute_error: 0.111, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8046, predictive_accuracy: 0.8041, prior_entropy: 1.0314, recall: 0.8041, relative_absolute_error: 0.5943, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2366, root_relative_squared_error: 0.7788, scimark_benchmark: 942.3742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, build_cpu_time: 0.006, build_memory: 1278483120, f_measure: 0.7963, kappa: 0.5502, kb_relative_information_score: 39.1621, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8046, predictive_accuracy: 0.8041, prior_entropy: 1.0314, recall: 0.8041, relative_absolute_error: 0.5931, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2376, root_relative_squared_error: 0.7823, scimark_benchmark: 941.0301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, build_cpu_time: 0.005, build_memory: 2280310856, f_measure: 0.7963, kappa: 0.5502, kb_relative_information_score: 39.2181, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8046, predictive_accuracy: 0.8041, prior_entropy: 1.0314, recall: 0.8041, relative_absolute_error: 0.5926, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2358, root_relative_squared_error: 0.7762, scimark_benchmark: 942.3742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, build_cpu_time: 0.003, build_memory: 1194106800, f_measure: 0.7963, kappa: 0.5502, kb_relative_information_score: 38.2897, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8046, predictive_accuracy: 0.8041, prior_entropy: 1.0314, recall: 0.8041, relative_absolute_error: 0.6049, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.7799, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8834, build_cpu_time: 4.144, build_memory: 66241800, f_measure: 0.8081, kappa: 0.5766, kb_relative_information_score: 45.2677, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8145, predictive_accuracy: 0.8144, prior_entropy: 1.0314, recall: 0.8144, relative_absolute_error: 0.5102, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2337, root_relative_squared_error: 0.7695, scimark_benchmark: 1212.2248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, build_cpu_time: 4.639, build_memory: 205926784, f_measure: 0.8081, kappa: 0.5766, kb_relative_information_score: 47.2789, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8145, predictive_accuracy: 0.8144, prior_entropy: 1.0314, recall: 0.8144, relative_absolute_error: 0.485, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.7471, scimark_benchmark: 939.0518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, build_cpu_time: 9.358, build_memory: 321658664, f_measure: 0.8177, kappa: 0.5975, kb_relative_information_score: 48.6019, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8275, predictive_accuracy: 0.8247, prior_entropy: 1.0314, recall: 0.8247, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.7301, scimark_benchmark: 946.2633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, build_cpu_time: 19.056, build_memory: 709207920, f_measure: 0.8177, kappa: 0.5975, kb_relative_information_score: 49.5694, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8275, predictive_accuracy: 0.8247, prior_entropy: 1.0314, recall: 0.8247, relative_absolute_error: 0.4609, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.7192, scimark_benchmark: 945.8425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, build_cpu_time: 38.315, build_memory: 2038900560, f_measure: 0.8177, kappa: 0.5975, kb_relative_information_score: 49.4718, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8275, predictive_accuracy: 0.8247, prior_entropy: 1.0314, recall: 0.8247, relative_absolute_error: 0.4626, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.218, root_relative_squared_error: 0.7176, scimark_benchmark: 945.9825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9035, build_cpu_time: 0.537, build_memory: 338141112, f_measure: 0.7843, kappa: 0.5233, kb_relative_information_score: 42.4708, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.7947, predictive_accuracy: 0.7938, prior_entropy: 1.0314, recall: 0.7938, relative_absolute_error: 0.549, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.7444, scimark_benchmark: 939.2367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, build_cpu_time: 1.11, build_memory: 657635888, f_measure: 0.7868, kappa: 0.5296, kb_relative_information_score: 42.1237, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.792, predictive_accuracy: 0.7938, prior_entropy: 1.0314, recall: 0.7938, relative_absolute_error: 0.5534, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.7453, scimark_benchmark: 945.4977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9032, build_cpu_time: 0.198, build_memory: 1465261296, f_measure: 0.8081, kappa: 0.5766, kb_relative_information_score: 44.959, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8145, predictive_accuracy: 0.8144, prior_entropy: 1.0314, recall: 0.8144, relative_absolute_error: 0.5198, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.7254, scimark_benchmark: 932.1293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, build_cpu_time: 0.159, build_memory: 122496760, f_measure: 0.8311, kappa: 0.6285, kb_relative_information_score: 44.7914, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8344, predictive_accuracy: 0.8351, prior_entropy: 1.0314, recall: 0.8351, relative_absolute_error: 0.5232, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.7268, scimark_benchmark: 934.9877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, build_cpu_time: 0.157, build_memory: 238272024, f_measure: 0.8311, kappa: 0.6285, kb_relative_information_score: 44.7914, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8344, predictive_accuracy: 0.8351, prior_entropy: 1.0314, recall: 0.8351, relative_absolute_error: 0.5232, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.7268, scimark_benchmark: 921.4306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, build_cpu_time: 0.049, build_memory: 1219942800, f_measure: 0.8117, kappa: 0.5874, kb_relative_information_score: 44.5784, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.812, predictive_accuracy: 0.8144, prior_entropy: 1.0314, recall: 0.8144, relative_absolute_error: 0.5231, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.743, scimark_benchmark: 923.5856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, build_cpu_time: 0.041, build_memory: 295546448, f_measure: 0.8117, kappa: 0.5874, kb_relative_information_score: 43.5762, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.812, predictive_accuracy: 0.8144, prior_entropy: 1.0314, recall: 0.8144, relative_absolute_error: 0.5339, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.7617, scimark_benchmark: 940.2463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7373, build_cpu_time: 0.003, build_memory: 1586255024, f_measure: 0.7749, kappa: 0.5028, kb_relative_information_score: 32.5671, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.7817, predictive_accuracy: 0.7835, prior_entropy: 1.0314, recall: 0.7835, relative_absolute_error: 0.671, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.863, scimark_benchmark: 947.8715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7373, build_cpu_time: 0.003, build_memory: 1356465256, f_measure: 0.7749, kappa: 0.5028, kb_relative_information_score: 32.5671, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.7817, predictive_accuracy: 0.7835, prior_entropy: 1.0314, recall: 0.7835, relative_absolute_error: 0.671, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.863, scimark_benchmark: 944.9428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7373, build_cpu_time: 0.003, build_memory: 1724898496, f_measure: 0.7749, kappa: 0.5028, kb_relative_information_score: 32.5671, mean_absolute_error: 0.1253, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.7817, predictive_accuracy: 0.7835, prior_entropy: 1.0314, recall: 0.7835, relative_absolute_error: 0.671, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.863, scimark_benchmark: 915.9859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.8372, kappa: 0.6401, kb_relative_information_score: 54.9557, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.1867, number_of_instances: 97, precision: 0.8561, predictive_accuracy: 0.8454, prior_entropy: 1.0314, recall: 0.8454, relative_absolute_error: 0.3945, root_mean_prior_squared_error: 0.3038, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.7193, scimark_benchmark: 940.5766,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs