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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:

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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: 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
Task
Supervised Classification on fri_c4_500_100

Supervised Classification on fri_c4_500_100

Task 3608 Supervised Classification fri_c4_500_100 542 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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542 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, build_cpu_time: 3.0948, build_memory: 344870136, f_measure: 0.8557, kappa: 0.7056, kb_relative_information_score: 347.1355, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8558, predictive_accuracy: 0.856, prior_entropy: 0.9875, recall: 0.856, relative_absolute_error: 0.3058, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7303, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, build_cpu_time: 1.6686, build_memory: 573430357.6, f_measure: 0.8199, kappa: 0.6332, kb_relative_information_score: 310.4376, mean_absolute_error: 0.1854, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8198, predictive_accuracy: 0.82, prior_entropy: 0.9875, recall: 0.82, relative_absolute_error: 0.3774, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3885, root_relative_squared_error: 0.7839, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, build_cpu_time: 1.0064, build_memory: 332840688, f_measure: 0.8312, kappa: 0.6555, kb_relative_information_score: 331.2364, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8318, predictive_accuracy: 0.832, prior_entropy: 0.9875, recall: 0.832, relative_absolute_error: 0.3347, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.786, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, build_cpu_time: 2.2464, build_memory: 527285145.6, f_measure: 0.8471, kappa: 0.6876, kb_relative_information_score: 343.1507, mean_absolute_error: 0.1529, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8484, predictive_accuracy: 0.848, prior_entropy: 0.9875, recall: 0.848, relative_absolute_error: 0.3113, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.7681, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, build_cpu_time: 4.6215, build_memory: 259054956, f_measure: 0.8553, kappa: 0.7047, kb_relative_information_score: 352.0953, mean_absolute_error: 0.1441, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8561, predictive_accuracy: 0.856, prior_entropy: 0.9875, recall: 0.856, relative_absolute_error: 0.2932, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.7519, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, build_cpu_time: 9.6296, build_memory: 1273227680, f_measure: 0.871, kappa: 0.7363, kb_relative_information_score: 366.8014, mean_absolute_error: 0.1299, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8735, predictive_accuracy: 0.872, prior_entropy: 0.9875, recall: 0.872, relative_absolute_error: 0.2644, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.7158, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8748, build_cpu_time: 18.7649, build_memory: 857757758.4, f_measure: 0.8686, kappa: 0.7315, kb_relative_information_score: 366.3673, mean_absolute_error: 0.1304, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8726, predictive_accuracy: 0.87, prior_entropy: 0.9875, recall: 0.87, relative_absolute_error: 0.2653, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.7274, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, build_cpu_time: 0.2708, build_memory: 56775858.4, f_measure: 0.5085, kappa: -0.0041, kb_relative_information_score: -0.485, mean_absolute_error: 0.4881, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.5067, predictive_accuracy: 0.512, prior_entropy: 0.9875, recall: 0.512, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.697, root_relative_squared_error: 1.4064, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, build_cpu_time: 0.3291, build_memory: 232298948.8, f_measure: 0.5085, kappa: -0.0041, kb_relative_information_score: -0.485, mean_absolute_error: 0.4881, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.5067, predictive_accuracy: 0.512, prior_entropy: 0.9875, recall: 0.512, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.697, root_relative_squared_error: 1.4064, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, build_cpu_time: 0.2482, build_memory: 88766825.6, f_measure: 0.5085, kappa: -0.0041, kb_relative_information_score: -0.485, mean_absolute_error: 0.4881, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.5067, predictive_accuracy: 0.512, prior_entropy: 0.9875, recall: 0.512, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.697, root_relative_squared_error: 1.4064, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, build_cpu_time: 2.502, build_memory: 332669611.2, f_measure: 0.8514, kappa: 0.6968, kb_relative_information_score: 336.3314, mean_absolute_error: 0.1637, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8519, predictive_accuracy: 0.852, prior_entropy: 0.9875, recall: 0.852, relative_absolute_error: 0.3333, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.331, root_relative_squared_error: 0.6678, scimark_benchmark: 933.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, build_cpu_time: 18.8632, build_memory: 1216588484.8, f_measure: 0.8756, kappa: 0.7462, kb_relative_information_score: 371.7417, mean_absolute_error: 0.1254, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8759, predictive_accuracy: 0.876, prior_entropy: 0.9875, recall: 0.876, relative_absolute_error: 0.2551, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3498, root_relative_squared_error: 0.7058, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, build_cpu_time: 9.3819, build_memory: 1785524715.2, f_measure: 0.8594, kappa: 0.7129, kb_relative_information_score: 353.9811, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8601, predictive_accuracy: 0.86, prior_entropy: 0.9875, recall: 0.86, relative_absolute_error: 0.291, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.7476, scimark_benchmark: 947.9978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, build_cpu_time: 4.9251, build_memory: 583190080.8, f_measure: 0.8598, kappa: 0.7144, kb_relative_information_score: 349.6933, mean_absolute_error: 0.1475, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8598, predictive_accuracy: 0.86, prior_entropy: 0.9875, recall: 0.86, relative_absolute_error: 0.3002, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.7378, scimark_benchmark: 940.9619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, build_cpu_time: 2.7354, build_memory: 1514158030.4, f_measure: 0.8374, kappa: 0.6683, kb_relative_information_score: 323.6351, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8377, predictive_accuracy: 0.838, prior_entropy: 0.9875, recall: 0.838, relative_absolute_error: 0.3532, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.381, root_relative_squared_error: 0.7687, scimark_benchmark: 933.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6383, build_cpu_time: 1.0495, build_memory: 468058688.8, f_measure: 0.6037, kappa: 0.2048, kb_relative_information_score: 75.432, mean_absolute_error: 0.4182, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.6114, predictive_accuracy: 0.602, prior_entropy: 0.9875, recall: 0.602, relative_absolute_error: 0.8512, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.5352, root_relative_squared_error: 1.0799, scimark_benchmark: 935.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, build_cpu_time: 3.2055, build_memory: 1859423192.8, f_measure: 0.8598, kappa: 0.7141, kb_relative_information_score: 345.9665, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8598, predictive_accuracy: 0.86, prior_entropy: 0.9875, recall: 0.86, relative_absolute_error: 0.3091, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.7159, scimark_benchmark: 933.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, build_cpu_time: 0.8973, build_memory: 1497919944.8, f_measure: 0.8161, kappa: 0.6241, kb_relative_information_score: 278.2417, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8192, predictive_accuracy: 0.818, prior_entropy: 0.9875, recall: 0.818, relative_absolute_error: 0.4621, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3478, root_relative_squared_error: 0.7018, scimark_benchmark: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, build_cpu_time: 0.2879, build_memory: 476334129.6, f_measure: 0.7857, kappa: 0.5619, kb_relative_information_score: 120.4161, mean_absolute_error: 0.3942, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.7885, predictive_accuracy: 0.788, prior_entropy: 0.9875, recall: 0.788, relative_absolute_error: 0.8024, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.8381, scimark_benchmark: 932.1837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, build_cpu_time: 0.212, build_memory: 296657291.2, f_measure: 0.8425, kappa: 0.678, kb_relative_information_score: 297.6475, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8457, predictive_accuracy: 0.844, prior_entropy: 0.9875, recall: 0.844, relative_absolute_error: 0.4295, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.7313, scimark_benchmark: 844.3635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, build_cpu_time: 0.0003, build_memory: 328078694.4, f_measure: 0.5085, kappa: -0.0041, kb_relative_information_score: -0.485, mean_absolute_error: 0.4881, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.5067, predictive_accuracy: 0.512, prior_entropy: 0.9875, recall: 0.512, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.697, root_relative_squared_error: 1.4064, scimark_benchmark: 932.1837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, build_cpu_time: 0.1506, build_memory: 275904056, f_measure: 0.4152, kappa: -0.0016, kb_relative_information_score: 52.8746, mean_absolute_error: 0.436, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.4938, predictive_accuracy: 0.564, prior_entropy: 0.9875, recall: 0.564, relative_absolute_error: 0.8874, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.6603, root_relative_squared_error: 1.3323, scimark_benchmark: 936.8995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6141, build_cpu_time: 0.1875, build_memory: 818217305.6, f_measure: 0.6226, kappa: 0.2297, kb_relative_information_score: 114.3986, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.6218, predictive_accuracy: 0.624, prior_entropy: 0.9875, recall: 0.624, relative_absolute_error: 0.7653, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.6132, root_relative_squared_error: 1.2372, scimark_benchmark: 940.4464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5862, build_cpu_time: 0.1487, build_memory: 1082452416, f_measure: 0.597, kappa: 0.1762, kb_relative_information_score: 93.8906, mean_absolute_error: 0.396, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.5978, predictive_accuracy: 0.604, prior_entropy: 0.9875, recall: 0.604, relative_absolute_error: 0.806, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.6293, root_relative_squared_error: 1.2697, scimark_benchmark: 945.4085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6538, build_cpu_time: 0.0977, build_memory: 105503573.6, f_measure: 0.6081, kappa: 0.1997, kb_relative_information_score: 85.4541, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.6072, predictive_accuracy: 0.61, prior_entropy: 0.9875, recall: 0.61, relative_absolute_error: 0.8305, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.5225, root_relative_squared_error: 1.0542, scimark_benchmark: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6939, build_cpu_time: 0.0088, build_memory: 146973334.4, f_measure: 0.6339, kappa: 0.2515, kb_relative_information_score: 99.9254, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.6341, predictive_accuracy: 0.638, prior_entropy: 0.9875, recall: 0.638, relative_absolute_error: 0.81, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9885, scimark_benchmark: 946.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6939, build_cpu_time: 0.0083, build_memory: 25262595.2, f_measure: 0.6339, kappa: 0.2515, kb_relative_information_score: 99.9254, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.6341, predictive_accuracy: 0.638, prior_entropy: 0.9875, recall: 0.638, relative_absolute_error: 0.81, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9885, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, build_cpu_time: 0.1857, build_memory: 326172173.6, f_measure: 0.8373, kappa: 0.6679, kb_relative_information_score: 241.5812, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8378, predictive_accuracy: 0.838, prior_entropy: 0.9875, recall: 0.838, relative_absolute_error: 0.5512, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.7079, scimark_benchmark: 945.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, build_cpu_time: 0.1736, build_memory: 118006008.8, f_measure: 0.8373, kappa: 0.6679, kb_relative_information_score: 241.5812, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8378, predictive_accuracy: 0.838, prior_entropy: 0.9875, recall: 0.838, relative_absolute_error: 0.5512, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.7079, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7833, build_cpu_time: 0.0202, build_memory: 561855511.2, f_measure: 0.7893, kappa: 0.57, kb_relative_information_score: 284.6151, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.7893, predictive_accuracy: 0.79, prior_entropy: 0.9875, recall: 0.79, relative_absolute_error: 0.4274, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9246, scimark_benchmark: 946.5615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8482, build_cpu_time: 0.0677, build_memory: 211852874.4, f_measure: 0.8399, kappa: 0.674, kb_relative_information_score: 330.9892, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8399, predictive_accuracy: 0.84, prior_entropy: 0.9875, recall: 0.84, relative_absolute_error: 0.3388, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3906, root_relative_squared_error: 0.788, scimark_benchmark: 947.7747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8482, build_cpu_time: 0.0711, build_memory: 316573863.2, f_measure: 0.8399, kappa: 0.674, kb_relative_information_score: 330.9892, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8399, predictive_accuracy: 0.84, prior_entropy: 0.9875, recall: 0.84, relative_absolute_error: 0.3388, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3906, root_relative_squared_error: 0.788, scimark_benchmark: 922.2602,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6421, build_cpu_time: 3.7353, build_memory: 2259784970.4, f_measure: 0.6191, kappa: 0.2232, kb_relative_information_score: 108.0252, mean_absolute_error: 0.383, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.6185, predictive_accuracy: 0.62, prior_entropy: 0.9875, recall: 0.62, relative_absolute_error: 0.7796, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.5932, root_relative_squared_error: 1.1968, scimark_benchmark: 942.3742,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7845, build_cpu_time: 0.0037, build_memory: 1195766169.6, f_measure: 0.7498, kappa: 0.4903, kb_relative_information_score: 146.7761, mean_absolute_error: 0.366, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.7496, predictive_accuracy: 0.75, prior_entropy: 0.9875, recall: 0.75, relative_absolute_error: 0.745, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8643, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, build_cpu_time: 31.4249, build_memory: 69621068, f_measure: 0.7959, kappa: 0.5843, kb_relative_information_score: 241.648, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.7958, predictive_accuracy: 0.796, prior_entropy: 0.9875, recall: 0.796, relative_absolute_error: 0.5376, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.7518, scimark_benchmark: 1212.2248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, build_cpu_time: 29.7946, build_memory: 77209874.4, f_measure: 0.8239, kappa: 0.6414, kb_relative_information_score: 257.5389, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8238, predictive_accuracy: 0.824, prior_entropy: 0.9875, recall: 0.824, relative_absolute_error: 0.5116, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3518, root_relative_squared_error: 0.7098, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, build_cpu_time: 56.0961, build_memory: 479470210.4, f_measure: 0.836, kappa: 0.6662, kb_relative_information_score: 258.1395, mean_absolute_error: 0.2515, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.836, predictive_accuracy: 0.836, prior_entropy: 0.9875, recall: 0.836, relative_absolute_error: 0.5118, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3481, root_relative_squared_error: 0.7024, scimark_benchmark: 938.4414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, build_cpu_time: 100.7809, build_memory: 80923701.6, f_measure: 0.838, kappa: 0.6701, kb_relative_information_score: 252.463, mean_absolute_error: 0.2574, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8379, predictive_accuracy: 0.838, prior_entropy: 0.9875, recall: 0.838, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3533, root_relative_squared_error: 0.7129, scimark_benchmark: 945.0883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, build_cpu_time: 207.1551, build_memory: 537747293.6, f_measure: 0.83, kappa: 0.6542, kb_relative_information_score: 250.7473, mean_absolute_error: 0.2589, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8301, predictive_accuracy: 0.83, prior_entropy: 0.9875, recall: 0.83, relative_absolute_error: 0.5269, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3553, root_relative_squared_error: 0.717, scimark_benchmark: 942.6202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, build_cpu_time: 38.0131, build_memory: 70484825.6, f_measure: 0.8894, kappa: 0.774, kb_relative_information_score: 387.2997, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8909, predictive_accuracy: 0.89, prior_entropy: 0.9875, recall: 0.89, relative_absolute_error: 0.2235, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.6645, scimark_benchmark: 934.1739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, build_cpu_time: 22.4269, build_memory: 845494803.2, f_measure: 0.885, kappa: 0.7651, kb_relative_information_score: 384.5338, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.888, predictive_accuracy: 0.886, prior_entropy: 0.9875, recall: 0.886, relative_absolute_error: 0.2287, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.6683, scimark_benchmark: 941.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, build_cpu_time: 11.3665, build_memory: 40355130.4, f_measure: 0.8794, kappa: 0.7536, kb_relative_information_score: 375.1296, mean_absolute_error: 0.1219, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8806, predictive_accuracy: 0.88, prior_entropy: 0.9875, recall: 0.88, relative_absolute_error: 0.2481, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.6957, scimark_benchmark: 941.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, build_cpu_time: 5.0924, build_memory: 1169143988, f_measure: 0.8833, kappa: 0.7616, kb_relative_information_score: 378.0881, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8849, predictive_accuracy: 0.884, prior_entropy: 0.9875, recall: 0.884, relative_absolute_error: 0.2427, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.6747, scimark_benchmark: 942.6202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, build_cpu_time: 14.6979, build_memory: 1338104780, f_measure: 0.8619, kappa: 0.7177, kb_relative_information_score: 283.4992, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8694, predictive_accuracy: 0.864, prior_entropy: 0.9875, recall: 0.864, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6381, scimark_benchmark: 947.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, build_cpu_time: 26.6112, build_memory: 190894036, f_measure: 0.8639, kappa: 0.7217, kb_relative_information_score: 284.4892, mean_absolute_error: 0.2306, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8719, predictive_accuracy: 0.866, prior_entropy: 0.9875, recall: 0.866, relative_absolute_error: 0.4694, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3146, root_relative_squared_error: 0.6347, scimark_benchmark: 932.1882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, build_cpu_time: 6.0944, build_memory: 487633716, f_measure: 0.8611, kappa: 0.7162, kb_relative_information_score: 297.1534, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8627, predictive_accuracy: 0.862, prior_entropy: 0.9875, recall: 0.862, relative_absolute_error: 0.4373, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3076, root_relative_squared_error: 0.6206, scimark_benchmark: 943.5354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, build_cpu_time: 3.1581, build_memory: 660536234.4, f_measure: 0.8628, kappa: 0.7196, kb_relative_information_score: 299.1597, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8657, predictive_accuracy: 0.864, prior_entropy: 0.9875, recall: 0.864, relative_absolute_error: 0.4336, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3065, root_relative_squared_error: 0.6183, scimark_benchmark: 940.8995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, build_cpu_time: 3.1111, build_memory: 90810963.2, f_measure: 0.8628, kappa: 0.7196, kb_relative_information_score: 299.1597, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8657, predictive_accuracy: 0.864, prior_entropy: 0.9875, recall: 0.864, relative_absolute_error: 0.4336, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3065, root_relative_squared_error: 0.6183, scimark_benchmark: 943.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, build_cpu_time: 3.0418, build_memory: 409273549.6, f_measure: 0.8628, kappa: 0.7196, kb_relative_information_score: 299.1597, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8657, predictive_accuracy: 0.864, prior_entropy: 0.9875, recall: 0.864, relative_absolute_error: 0.4336, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3065, root_relative_squared_error: 0.6183, scimark_benchmark: 946.6441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, build_cpu_time: 1.8224, build_memory: 1802902540, f_measure: 0.8667, kappa: 0.7275, kb_relative_information_score: 297.6965, mean_absolute_error: 0.2134, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8703, predictive_accuracy: 0.868, prior_entropy: 0.9875, recall: 0.868, relative_absolute_error: 0.4343, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3105, root_relative_squared_error: 0.6266, scimark_benchmark: 934.8923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, build_cpu_time: 1.8157, build_memory: 1205231851.2, f_measure: 0.8667, kappa: 0.7275, kb_relative_information_score: 297.6965, mean_absolute_error: 0.2134, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8703, predictive_accuracy: 0.868, prior_entropy: 0.9875, recall: 0.868, relative_absolute_error: 0.4343, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3105, root_relative_squared_error: 0.6266, scimark_benchmark: 908.2768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9278, build_cpu_time: 0.7582, build_memory: 168393928.8, f_measure: 0.861, kappa: 0.7159, kb_relative_information_score: 295.0177, mean_absolute_error: 0.2147, mean_prior_absolute_error: 0.4913, number_of_instances: 500, precision: 0.8631, predictive_accuracy: 0.862, prior_entropy: 0.9875, recall: 0.862, relative_absolute_error: 0.437, root_mean_prior_squared_error: 0.4956, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.6428, scimark_benchmark: 944.6999,

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