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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

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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 breast-cancer

Supervised Classification on breast-cancer

Task 1777 Supervised Classification breast-cancer 346 runs submitted
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346 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6596, build_cpu_time: 0.5084, build_memory: 439718601.6, f_measure: 0.679, kappa: 0.2001, kb_relative_information_score: 256.4396, mean_absolute_error: 0.3265, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6754, predictive_accuracy: 0.7042, prior_entropy: 0.8796, recall: 0.7042, relative_absolute_error: 0.7805, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4702, root_relative_squared_error: 1.0287, scimark_benchmark: 928.0863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6629, build_cpu_time: 1.2862, build_memory: 601426392.8, f_measure: 0.6763, kappa: 0.1949, kb_relative_information_score: 248.5468, mean_absolute_error: 0.3279, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6713, predictive_accuracy: 0.6993, prior_entropy: 0.8796, recall: 0.6993, relative_absolute_error: 0.7838, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4697, root_relative_squared_error: 1.0277, scimark_benchmark: 935.7354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6691, build_cpu_time: 2.0762, build_memory: 862581560, f_measure: 0.6735, kappa: 0.1874, kb_relative_information_score: 256.1918, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6682, predictive_accuracy: 0.6972, prior_entropy: 0.8796, recall: 0.6972, relative_absolute_error: 0.7786, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4672, root_relative_squared_error: 1.0223, scimark_benchmark: 944.9156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.643, build_cpu_time: 0.0927, build_memory: 1524241103.2, f_measure: 0.6313, kappa: 0.0805, kb_relative_information_score: 67.401, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.634, predictive_accuracy: 0.6902, prior_entropy: 0.8796, recall: 0.6902, relative_absolute_error: 0.9239, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4481, root_relative_squared_error: 0.9804, scimark_benchmark: 902.5808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.643, build_cpu_time: 0.0916, build_memory: 356174733.6, f_measure: 0.6313, kappa: 0.0805, kb_relative_information_score: 67.401, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.634, predictive_accuracy: 0.6902, prior_entropy: 0.8796, recall: 0.6902, relative_absolute_error: 0.9239, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4481, root_relative_squared_error: 0.9804, scimark_benchmark: 943.2048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6392, build_cpu_time: 0.0272, build_memory: 1229740108, f_measure: 0.6292, kappa: 0.0758, kb_relative_information_score: 68.1182, mean_absolute_error: 0.3858, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6324, predictive_accuracy: 0.6902, prior_entropy: 0.8796, recall: 0.6902, relative_absolute_error: 0.9223, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.9833, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.64, build_cpu_time: 0.0053, build_memory: 2305154416.8, f_measure: 0.6742, kappa: 0.1887, kb_relative_information_score: 121.1911, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6693, predictive_accuracy: 0.6986, prior_entropy: 0.8796, recall: 0.6986, relative_absolute_error: 0.8726, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4649, root_relative_squared_error: 1.0173, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.64, build_cpu_time: 0.0037, build_memory: 1002629626.4, f_measure: 0.6742, kappa: 0.1887, kb_relative_information_score: 121.1911, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6693, predictive_accuracy: 0.6986, prior_entropy: 0.8796, recall: 0.6986, relative_absolute_error: 0.8726, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4649, root_relative_squared_error: 1.0173, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6487, build_cpu_time: 0.0267, build_memory: 1469307458.4, f_measure: 0.6572, kappa: 0.1475, kb_relative_information_score: 95.7075, mean_absolute_error: 0.3733, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6495, predictive_accuracy: 0.6811, prior_entropy: 0.8796, recall: 0.6811, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4565, root_relative_squared_error: 0.9988, scimark_benchmark: 931.0999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6541, build_cpu_time: 0.0483, build_memory: 2558479008, f_measure: 0.6591, kappa: 0.151, kb_relative_information_score: 104.5677, mean_absolute_error: 0.3715, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6522, predictive_accuracy: 0.6853, prior_entropy: 0.8796, recall: 0.6853, relative_absolute_error: 0.888, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.993, scimark_benchmark: 874.7213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6621, build_cpu_time: 2.965, build_memory: 958212641.6, f_measure: 0.6797, kappa: 0.1994, kb_relative_information_score: 100.0727, mean_absolute_error: 0.3754, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6811, predictive_accuracy: 0.7119, prior_entropy: 0.8796, recall: 0.7119, relative_absolute_error: 0.8973, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4456, root_relative_squared_error: 0.9749, scimark_benchmark: 892.3838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6627, build_cpu_time: 0.7086, build_memory: 592980144.8, f_measure: 0.672, kappa: 0.18, kb_relative_information_score: 101.8098, mean_absolute_error: 0.3748, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.672, predictive_accuracy: 0.7056, prior_entropy: 0.8796, recall: 0.7056, relative_absolute_error: 0.896, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4451, root_relative_squared_error: 0.9739, scimark_benchmark: 922.9897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.663, build_cpu_time: 0.3147, build_memory: 853022663.2, f_measure: 0.6731, kappa: 0.1826, kb_relative_information_score: 107.7104, mean_absolute_error: 0.3732, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.675, predictive_accuracy: 0.7084, prior_entropy: 0.8796, recall: 0.7084, relative_absolute_error: 0.8921, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4452, root_relative_squared_error: 0.974, scimark_benchmark: 896.8713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6586, build_cpu_time: 0.2056, build_memory: 2870688876.8, f_measure: 0.6737, kappa: 0.184, kb_relative_information_score: 99.7511, mean_absolute_error: 0.3748, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6766, predictive_accuracy: 0.7098, prior_entropy: 0.8796, recall: 0.7098, relative_absolute_error: 0.896, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4473, root_relative_squared_error: 0.9787, scimark_benchmark: 947.2295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6833, build_cpu_time: 0.0025, build_memory: 271166184, f_measure: 0.6732, kappa: 0.1828, kb_relative_information_score: 322.1977, mean_absolute_error: 0.3079, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6839, predictive_accuracy: 0.7161, prior_entropy: 0.8796, recall: 0.7161, relative_absolute_error: 0.736, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.998, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6837, build_cpu_time: 0.0147, build_memory: 381182650.4, f_measure: 0.6816, kappa: 0.2037, kb_relative_information_score: 321.8315, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6875, predictive_accuracy: 0.7175, prior_entropy: 0.8796, recall: 0.7175, relative_absolute_error: 0.7342, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4594, root_relative_squared_error: 1.0052, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6192, build_cpu_time: 0.0043, build_memory: 90490232.8, f_measure: 0.6552, kappa: 0.1538, kb_relative_information_score: 202.814, mean_absolute_error: 0.3341, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.648, predictive_accuracy: 0.6671, prior_entropy: 0.8796, recall: 0.6671, relative_absolute_error: 0.7986, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5636, root_relative_squared_error: 1.2332, scimark_benchmark: 947.3846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6192, build_cpu_time: 0.0047, build_memory: 604975616, f_measure: 0.6552, kappa: 0.1538, kb_relative_information_score: 202.814, mean_absolute_error: 0.3341, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.648, predictive_accuracy: 0.6671, prior_entropy: 0.8796, recall: 0.6671, relative_absolute_error: 0.7986, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5636, root_relative_squared_error: 1.2332, scimark_benchmark: 939.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6192, build_cpu_time: 0.0042, build_memory: 594672056, f_measure: 0.6552, kappa: 0.1538, kb_relative_information_score: 202.814, mean_absolute_error: 0.3341, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.648, predictive_accuracy: 0.6671, prior_entropy: 0.8796, recall: 0.6671, relative_absolute_error: 0.7986, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5636, root_relative_squared_error: 1.2332, scimark_benchmark: 905.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6192, build_cpu_time: 0.0047, build_memory: 906136236.8, f_measure: 0.6552, kappa: 0.1538, kb_relative_information_score: 202.814, mean_absolute_error: 0.3341, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.648, predictive_accuracy: 0.6671, prior_entropy: 0.8796, recall: 0.6671, relative_absolute_error: 0.7986, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5636, root_relative_squared_error: 1.2332, scimark_benchmark: 932.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6567, build_cpu_time: 194.9421, build_memory: 1750117587.2, f_measure: 0.6842, kappa: 0.2209, kb_relative_information_score: 175.5225, mean_absolute_error: 0.3499, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6782, predictive_accuracy: 0.6986, prior_entropy: 0.8796, recall: 0.6986, relative_absolute_error: 0.8365, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4652, root_relative_squared_error: 1.018, scimark_benchmark: 929.2431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.66, build_cpu_time: 360.3266, build_memory: 491858060.8, f_measure: 0.6879, kappa: 0.2294, kb_relative_information_score: 181.055, mean_absolute_error: 0.3487, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6823, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.8337, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.463, root_relative_squared_error: 1.013, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6869, build_cpu_time: 0.0209, build_memory: 870096481.6, f_measure: 0.6964, kappa: 0.2414, kb_relative_information_score: 130.0644, mean_absolute_error: 0.3784, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.7259, predictive_accuracy: 0.7406, prior_entropy: 0.8796, recall: 0.7406, relative_absolute_error: 0.9046, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4326, root_relative_squared_error: 0.9465, scimark_benchmark: 940.8364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6845, build_cpu_time: 0.0119, build_memory: 1027506331.2, f_measure: 0.6915, kappa: 0.2288, kb_relative_information_score: 124.0807, mean_absolute_error: 0.3799, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.7139, predictive_accuracy: 0.7343, prior_entropy: 0.8796, recall: 0.7343, relative_absolute_error: 0.9081, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.9477, scimark_benchmark: 1024.2267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6196, build_cpu_time: 1.0693, build_memory: 521692284, f_measure: 0.6514, kappa: 0.1416, kb_relative_information_score: 185.7718, mean_absolute_error: 0.3397, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6434, predictive_accuracy: 0.6657, prior_entropy: 0.8796, recall: 0.6657, relative_absolute_error: 0.812, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5389, root_relative_squared_error: 1.1791, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, build_cpu_time: 0.0057, build_memory: 982899528, f_measure: 0.6848, kappa: 0.213, kb_relative_information_score: 132.4859, mean_absolute_error: 0.3775, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.7121, predictive_accuracy: 0.7322, prior_entropy: 0.8796, recall: 0.7322, relative_absolute_error: 0.9024, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4326, root_relative_squared_error: 0.9465, scimark_benchmark: 941.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6865, build_cpu_time: 0.0028, build_memory: 34340740, f_measure: 0.677, kappa: 0.1939, kb_relative_information_score: 138.6698, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.7024, predictive_accuracy: 0.7266, prior_entropy: 0.8796, recall: 0.7266, relative_absolute_error: 0.8989, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4328, root_relative_squared_error: 0.947, scimark_benchmark: 942.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6787, build_cpu_time: 0.0033, build_memory: 99626209.6, f_measure: 0.6778, kappa: 0.1951, kb_relative_information_score: 133.5586, mean_absolute_error: 0.3771, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6993, predictive_accuracy: 0.7252, prior_entropy: 0.8796, recall: 0.7252, relative_absolute_error: 0.9014, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.9509, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.649, build_cpu_time: 1.0282, build_memory: 3150161850.4, f_measure: 0.6688, kappa: 0.1774, kb_relative_information_score: 125.087, mean_absolute_error: 0.3644, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6622, predictive_accuracy: 0.6902, prior_entropy: 0.8796, recall: 0.6902, relative_absolute_error: 0.871, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.459, root_relative_squared_error: 1.0043, scimark_benchmark: 940.8364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6601, build_cpu_time: 2.3453, build_memory: 972463289.6, f_measure: 0.6789, kappa: 0.2022, kb_relative_information_score: 139.4317, mean_absolute_error: 0.3617, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6736, predictive_accuracy: 0.7, prior_entropy: 0.8796, recall: 0.7, relative_absolute_error: 0.8648, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9907, scimark_benchmark: 942.3742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6596, build_cpu_time: 4.7501, build_memory: 63931576.8, f_measure: 0.6875, kappa: 0.2243, kb_relative_information_score: 135.3381, mean_absolute_error: 0.363, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6828, predictive_accuracy: 0.707, prior_entropy: 0.8796, recall: 0.707, relative_absolute_error: 0.8678, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9898, scimark_benchmark: 943.0515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6593, build_cpu_time: 10.6725, build_memory: 69171265.6, f_measure: 0.6852, kappa: 0.2193, kb_relative_information_score: 126.8932, mean_absolute_error: 0.3654, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6801, predictive_accuracy: 0.7042, prior_entropy: 0.8796, recall: 0.7042, relative_absolute_error: 0.8735, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.991, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6621, build_cpu_time: 19.8595, build_memory: 132969544.8, f_measure: 0.6818, kappa: 0.2118, kb_relative_information_score: 129.766, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6762, predictive_accuracy: 0.7, prior_entropy: 0.8796, recall: 0.7, relative_absolute_error: 0.8725, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9885, scimark_benchmark: 935.2997,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6301, build_cpu_time: 0.0785, build_memory: 444456944.8, f_measure: 0.6791, kappa: 0.2098, kb_relative_information_score: 298.5239, mean_absolute_error: 0.3083, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6728, predictive_accuracy: 0.6923, prior_entropy: 0.8796, recall: 0.6923, relative_absolute_error: 0.7369, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5429, root_relative_squared_error: 1.1878, scimark_benchmark: 944.5683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6272, build_cpu_time: 0.0815, build_memory: 958197962.4, f_measure: 0.6778, kappa: 0.2052, kb_relative_information_score: 289.0404, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6714, predictive_accuracy: 0.6923, prior_entropy: 0.8796, recall: 0.6923, relative_absolute_error: 0.7428, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5383, root_relative_squared_error: 1.1779, scimark_benchmark: 944.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6423, build_cpu_time: 0.027, build_memory: 1082659001.6, f_measure: 0.6692, kappa: 0.1835, kb_relative_information_score: 273.6187, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6621, predictive_accuracy: 0.6846, prior_entropy: 0.8796, recall: 0.6846, relative_absolute_error: 0.7486, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.1695, scimark_benchmark: 938.4414,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6423, build_cpu_time: 0.0275, build_memory: 755429936, f_measure: 0.6692, kappa: 0.1835, kb_relative_information_score: 273.6187, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6621, predictive_accuracy: 0.6846, prior_entropy: 0.8796, recall: 0.6846, relative_absolute_error: 0.7486, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.1695, scimark_benchmark: 945.6653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6497, build_cpu_time: 0.0147, build_memory: 1328579524.8, f_measure: 0.6742, kappa: 0.1945, kb_relative_information_score: 285.8935, mean_absolute_error: 0.3109, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6676, predictive_accuracy: 0.6909, prior_entropy: 0.8796, recall: 0.6909, relative_absolute_error: 0.7432, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5309, root_relative_squared_error: 1.1617, scimark_benchmark: 945.6653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6497, build_cpu_time: 0.0236, build_memory: 950357799.2, f_measure: 0.6742, kappa: 0.1945, kb_relative_information_score: 285.8935, mean_absolute_error: 0.3109, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6676, predictive_accuracy: 0.6909, prior_entropy: 0.8796, recall: 0.6909, relative_absolute_error: 0.7432, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5309, root_relative_squared_error: 1.1617, scimark_benchmark: 920.6195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6497, build_cpu_time: 0.0178, build_memory: 1212148101.6, f_measure: 0.6742, kappa: 0.1945, kb_relative_information_score: 285.8935, mean_absolute_error: 0.3109, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6676, predictive_accuracy: 0.6909, prior_entropy: 0.8796, recall: 0.6909, relative_absolute_error: 0.7432, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5309, root_relative_squared_error: 1.1617, scimark_benchmark: 944.2618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6472, build_cpu_time: 0.0354, build_memory: 1356644632, f_measure: 0.6732, kappa: 0.1827, kb_relative_information_score: 156.4525, mean_absolute_error: 0.3651, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6803, predictive_accuracy: 0.7133, prior_entropy: 0.8796, recall: 0.7133, relative_absolute_error: 0.8728, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4439, root_relative_squared_error: 0.9714, scimark_benchmark: 944.9053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6771, build_cpu_time: 0.3602, build_memory: 1762370713.6, f_measure: 0.6913, kappa: 0.2278, kb_relative_information_score: 178.2618, mean_absolute_error: 0.363, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.7038, predictive_accuracy: 0.7287, prior_entropy: 0.8796, recall: 0.7287, relative_absolute_error: 0.8678, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.9509, scimark_benchmark: 942.5839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6785, build_cpu_time: 0.0925, build_memory: 387625124, f_measure: 0.6855, kappa: 0.2135, kb_relative_information_score: 144.148, mean_absolute_error: 0.3732, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6996, predictive_accuracy: 0.7259, prior_entropy: 0.8796, recall: 0.7259, relative_absolute_error: 0.8921, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4368, root_relative_squared_error: 0.9558, scimark_benchmark: 944.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.674, build_cpu_time: 0.0425, build_memory: 1079791634.4, f_measure: 0.686, kappa: 0.2146, kb_relative_information_score: 142.631, mean_absolute_error: 0.3738, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6974, predictive_accuracy: 0.7245, prior_entropy: 0.8796, recall: 0.7245, relative_absolute_error: 0.8936, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.9578, scimark_benchmark: 932.5684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.674, build_cpu_time: 0.0462, build_memory: 588422493.6, f_measure: 0.686, kappa: 0.2146, kb_relative_information_score: 142.631, mean_absolute_error: 0.3738, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6974, predictive_accuracy: 0.7245, prior_entropy: 0.8796, recall: 0.7245, relative_absolute_error: 0.8936, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.9578, scimark_benchmark: 942.2284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.674, build_cpu_time: 0.0506, build_memory: 429663064.8, f_measure: 0.686, kappa: 0.2146, kb_relative_information_score: 142.631, mean_absolute_error: 0.3738, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6974, predictive_accuracy: 0.7245, prior_entropy: 0.8796, recall: 0.7245, relative_absolute_error: 0.8936, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.9578, scimark_benchmark: 942.3331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6644, build_cpu_time: 0.013, build_memory: 568104504, f_measure: 0.677, kappa: 0.1921, kb_relative_information_score: 151.6777, mean_absolute_error: 0.3705, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6875, predictive_accuracy: 0.7182, prior_entropy: 0.8796, recall: 0.7182, relative_absolute_error: 0.8857, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.44, root_relative_squared_error: 0.9628, scimark_benchmark: 941.5023,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, build_cpu_time: 0.0035, build_memory: 23342580, f_measure: 0.6786, kappa: 0.196, kb_relative_information_score: 125.3673, mean_absolute_error: 0.3801, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6868, predictive_accuracy: 0.7175, prior_entropy: 0.8796, recall: 0.7175, relative_absolute_error: 0.9088, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4548, root_relative_squared_error: 0.9952, scimark_benchmark: 936.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, build_cpu_time: 0.0012, build_memory: 37937436, f_measure: 0.6786, kappa: 0.196, kb_relative_information_score: 125.3673, mean_absolute_error: 0.3801, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6868, predictive_accuracy: 0.7175, prior_entropy: 0.8796, recall: 0.7175, relative_absolute_error: 0.9088, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4548, root_relative_squared_error: 0.9952, scimark_benchmark: 925.8253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, build_cpu_time: 0.0018, build_memory: 12625968.8, f_measure: 0.6786, kappa: 0.196, kb_relative_information_score: 125.3673, mean_absolute_error: 0.3801, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6868, predictive_accuracy: 0.7175, prior_entropy: 0.8796, recall: 0.7175, relative_absolute_error: 0.9088, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4548, root_relative_squared_error: 0.9952, scimark_benchmark: 940.0635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, build_cpu_time: 0.0007, build_memory: 387022546.4, f_measure: 0.6786, kappa: 0.196, kb_relative_information_score: 125.3673, mean_absolute_error: 0.3801, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6868, predictive_accuracy: 0.7175, prior_entropy: 0.8796, recall: 0.7175, relative_absolute_error: 0.9088, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4548, root_relative_squared_error: 0.9952, scimark_benchmark: 944.2584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, build_cpu_time: 0.0016, build_memory: 13064980, f_measure: 0.6786, kappa: 0.196, kb_relative_information_score: 125.3673, mean_absolute_error: 0.3801, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6868, predictive_accuracy: 0.7175, prior_entropy: 0.8796, recall: 0.7175, relative_absolute_error: 0.9088, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4548, root_relative_squared_error: 0.9952, scimark_benchmark: 937.3937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, build_cpu_time: 0.001, build_memory: 1126184080, f_measure: 0.6786, kappa: 0.196, kb_relative_information_score: 125.3673, mean_absolute_error: 0.3801, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6868, predictive_accuracy: 0.7175, prior_entropy: 0.8796, recall: 0.7175, relative_absolute_error: 0.9088, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4548, root_relative_squared_error: 0.9952, scimark_benchmark: 925.5458,

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