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

A PHP Error was encountered

Severity: Warning

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

Filename: models/Log.php

Line Number: 37

Backtrace:

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

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

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

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

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

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

OpenML
Task
Supervised Classification on abalone

Supervised Classification on abalone

Task 2121 Supervised Classification abalone 303 runs submitted
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303 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6085, f_measure: 0.183, kappa: 0.0944, kb_relative_information_score: 316.4498, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.1717, predictive_accuracy: 0.2025, prior_entropy: 3.6268, recall: 0.2025, relative_absolute_error: 0.8971, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1937, root_relative_squared_error: 1.1026, scimark_benchmark: 825.5282, usercpu_time_millis: 940, usercpu_time_millis_testing: 940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6445, f_measure: 0.1248, kappa: 0.0541, kb_relative_information_score: 64.0994, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.0911, predictive_accuracy: 0.1988, prior_entropy: 3.6268, recall: 0.1988, relative_absolute_error: 1.046, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1785, root_relative_squared_error: 1.0161, scimark_benchmark: 1369.9744, usercpu_time_millis: 57180, usercpu_time_millis_testing: 36980, usercpu_time_millis_training: 20200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7182, f_measure: 0.1935, kappa: 0.1301, kb_relative_information_score: 78.0409, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.1698, predictive_accuracy: 0.2504, prior_entropy: 3.6268, recall: 0.2504, relative_absolute_error: 1.0441, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1782, root_relative_squared_error: 1.0142, scimark_benchmark: 1318.1432, usercpu_time_millis: 3220, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 3120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7671, f_measure: 0.2403, kappa: 0.1632, kb_relative_information_score: 320.3802, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.2226, predictive_accuracy: 0.2714, prior_entropy: 3.6268, recall: 0.2714, relative_absolute_error: 0.9164, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.9569, scimark_benchmark: 887.6719, usercpu_time_millis: 14120, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 14080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5719, f_measure: 0.2203, kappa: 0.1455, kb_relative_information_score: 255.8731, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.201, predictive_accuracy: 0.2605, prior_entropy: 3.6268, recall: 0.2605, relative_absolute_error: 0.8255, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2258, root_relative_squared_error: 1.2854, scimark_benchmark: 1386.5717, usercpu_time_millis: 1300, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7149, f_measure: 0.2188, kappa: 0.1649, kb_relative_information_score: 339.3817, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.2214, predictive_accuracy: 0.2634, prior_entropy: 3.6268, recall: 0.2634, relative_absolute_error: 0.8697, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1828, root_relative_squared_error: 1.0406, scimark_benchmark: 1066.7184, usercpu_time_millis: 4470, usercpu_time_millis_testing: 3210, usercpu_time_millis_training: 1260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7269, f_measure: 0.24, kappa: 0.1516, kb_relative_information_score: 342.4383, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.2376, predictive_accuracy: 0.2518, prior_entropy: 3.6268, recall: 0.2518, relative_absolute_error: 0.8952, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.9803, scimark_benchmark: 1304.6687, usercpu_time_millis: 3760, usercpu_time_millis_testing: 550, usercpu_time_millis_training: 3210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5527, f_measure: 0.1983, kappa: 0.1041, kb_relative_information_score: 201.6808, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.1969, predictive_accuracy: 0.201, prior_entropy: 3.6268, recall: 0.201, relative_absolute_error: 0.8914, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2345, root_relative_squared_error: 1.335, scimark_benchmark: 1361.1055, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.2194, kappa: 0.1463, kb_relative_information_score: 334.5883, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.2139, predictive_accuracy: 0.2482, prior_entropy: 3.6268, recall: 0.2482, relative_absolute_error: 0.9031, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.9907, scimark_benchmark: 1319.6463, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7233, f_measure: 0.1975, kappa: 0.1525, kb_relative_information_score: 283.9279, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.1964, predictive_accuracy: 0.2627, prior_entropy: 3.6268, recall: 0.2627, relative_absolute_error: 0.9259, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.9652, scimark_benchmark: 1355.7054, usercpu_time_millis: 3010, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5505, f_measure: 0.1982, kappa: 0.1029, kb_relative_information_score: 209.0515, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.1996, predictive_accuracy: 0.2017, prior_entropy: 3.6268, recall: 0.2017, relative_absolute_error: 0.8911, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2346, root_relative_squared_error: 1.3355, scimark_benchmark: 1291.6995, usercpu_time_millis: 4450, usercpu_time_millis_testing: 2370, usercpu_time_millis_training: 2080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.51, f_measure: 0.0627, kappa: 0.02, kb_relative_information_score: 91.7484, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.0652, predictive_accuracy: 0.1103, prior_entropy: 3.6268, recall: 0.1103, relative_absolute_error: 0.9932, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2477, root_relative_squared_error: 1.4099, scimark_benchmark: 1384.4418, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5896, f_measure: 0.1994, kappa: 0.1035, kb_relative_information_score: 257.973, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.1982, predictive_accuracy: 0.2032, prior_entropy: 3.6268, recall: 0.2032, relative_absolute_error: 0.8961, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2117, root_relative_squared_error: 1.2052, scimark_benchmark: 1384.4418, usercpu_time_millis: 5740, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 5580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.559, f_measure: 0.2038, kappa: 0.1206, kb_relative_information_score: 233.4492, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.1848, predictive_accuracy: 0.2337, prior_entropy: 3.6268, recall: 0.2337, relative_absolute_error: 0.8555, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2299, root_relative_squared_error: 1.3085, scimark_benchmark: 1465.2979, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5475, f_measure: 0.1869, kappa: 0.0962, kb_relative_information_score: 197.6414, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.186, predictive_accuracy: 0.1923, prior_entropy: 3.6268, recall: 0.1923, relative_absolute_error: 0.9017, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.236, root_relative_squared_error: 1.3434, scimark_benchmark: 1466.6185, usercpu_time_millis: 44980, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 44970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0477, kb_relative_information_score: 5.5591, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.0279, predictive_accuracy: 0.1669, prior_entropy: 3.6268, recall: 0.1669, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1757, root_relative_squared_error: 1.0002, scimark_benchmark: 1054.3694, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5931, f_measure: 0.2173, kappa: 0.1283, kb_relative_information_score: 271.3684, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.2133, predictive_accuracy: 0.2257, prior_entropy: 3.6268, recall: 0.2257, relative_absolute_error: 0.8862, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2094, root_relative_squared_error: 1.1918, scimark_benchmark: 1028.5889, usercpu_time_millis: 380, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7182, build_cpu_time: 1.963, build_memory: 997033000, f_measure: 0.1935, kappa: 0.1301, kb_relative_information_score: 78.0409, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.1698, predictive_accuracy: 0.2504, prior_entropy: 3.6268, recall: 0.2504, relative_absolute_error: 1.0441, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1782, root_relative_squared_error: 1.0142, scimark_benchmark: 942.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7182, build_cpu_time: 2.153, build_memory: 743234152, f_measure: 0.1935, kappa: 0.1301, kb_relative_information_score: 78.0409, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.1698, predictive_accuracy: 0.2504, prior_entropy: 3.6268, recall: 0.2504, relative_absolute_error: 1.0441, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1782, root_relative_squared_error: 1.0142, scimark_benchmark: 923.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7182, build_cpu_time: 3.141, build_memory: 447344824, f_measure: 0.1935, kappa: 0.1301, kb_relative_information_score: 78.0409, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.1698, predictive_accuracy: 0.2504, prior_entropy: 3.6268, recall: 0.2504, relative_absolute_error: 1.0441, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1782, root_relative_squared_error: 1.0142, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7182, build_cpu_time: 2.349, build_memory: 1626236720, f_measure: 0.1935, kappa: 0.1301, kb_relative_information_score: 78.0409, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.1698, predictive_accuracy: 0.2504, prior_entropy: 3.6268, recall: 0.2504, relative_absolute_error: 1.0441, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1782, root_relative_squared_error: 1.0142, scimark_benchmark: 926.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7182, build_cpu_time: 2.046, build_memory: 274588680, f_measure: 0.1935, kappa: 0.1301, kb_relative_information_score: 78.0409, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.1698, predictive_accuracy: 0.2504, prior_entropy: 3.6268, recall: 0.2504, relative_absolute_error: 1.0441, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1782, root_relative_squared_error: 1.0142, scimark_benchmark: 942.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, build_cpu_time: 0.066, build_memory: 552364240, f_measure: 0.2221, kappa: 0.1312, kb_relative_information_score: 324.7765, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.2261, predictive_accuracy: 0.2373, prior_entropy: 3.6268, recall: 0.2373, relative_absolute_error: 0.9047, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1761, root_relative_squared_error: 1.0021, scimark_benchmark: 926.9332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, build_cpu_time: 0.079, build_memory: 217061856, f_measure: 0.2221, kappa: 0.1312, kb_relative_information_score: 324.7765, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.2261, predictive_accuracy: 0.2373, prior_entropy: 3.6268, recall: 0.2373, relative_absolute_error: 0.9047, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1761, root_relative_squared_error: 1.0021, scimark_benchmark: 918.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, build_cpu_time: 0.053, build_memory: 207886568, f_measure: 0.2221, kappa: 0.1312, kb_relative_information_score: 324.7765, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.2261, predictive_accuracy: 0.2373, prior_entropy: 3.6268, recall: 0.2373, relative_absolute_error: 0.9047, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1761, root_relative_squared_error: 1.0021, scimark_benchmark: 940.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, build_cpu_time: 0.054, build_memory: 1011828192, f_measure: 0.2221, kappa: 0.1312, kb_relative_information_score: 324.7765, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.2261, predictive_accuracy: 0.2373, prior_entropy: 3.6268, recall: 0.2373, relative_absolute_error: 0.9047, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1761, root_relative_squared_error: 1.0021, scimark_benchmark: 895.3841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, build_cpu_time: 0.06, build_memory: 32635952, f_measure: 0.2221, kappa: 0.1312, kb_relative_information_score: 324.7765, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.2261, predictive_accuracy: 0.2373, prior_entropy: 3.6268, recall: 0.2373, relative_absolute_error: 0.9047, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1761, root_relative_squared_error: 1.0021, scimark_benchmark: 920.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.551, build_cpu_time: 0.072, build_memory: 1208790888, f_measure: 0.196, kappa: 0.1013, kb_relative_information_score: 202.2857, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.1972, predictive_accuracy: 0.1967, prior_entropy: 3.6268, recall: 0.1967, relative_absolute_error: 0.8967, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2351, root_relative_squared_error: 1.338, scimark_benchmark: 915.3856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.551, build_cpu_time: 0.079, build_memory: 1055561584, f_measure: 0.196, kappa: 0.1013, kb_relative_information_score: 202.2857, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.1972, predictive_accuracy: 0.1967, prior_entropy: 3.6268, recall: 0.1967, relative_absolute_error: 0.8967, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2351, root_relative_squared_error: 1.338, scimark_benchmark: 925.7673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.551, build_cpu_time: 0.055, build_memory: 777538936, f_measure: 0.196, kappa: 0.1013, kb_relative_information_score: 202.2857, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.1972, predictive_accuracy: 0.1967, prior_entropy: 3.6268, recall: 0.1967, relative_absolute_error: 0.8967, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2351, root_relative_squared_error: 1.338, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.551, build_cpu_time: 0.078, build_memory: 1385559880, f_measure: 0.196, kappa: 0.1013, kb_relative_information_score: 202.2857, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.1972, predictive_accuracy: 0.1967, prior_entropy: 3.6268, recall: 0.1967, relative_absolute_error: 0.8967, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2351, root_relative_squared_error: 1.338, scimark_benchmark: 946.9091,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6461, build_cpu_time: 0.015, build_memory: 1003459336, f_measure: 0.0849, kappa: 0.0896, kb_relative_information_score: 190.604, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.0535, predictive_accuracy: 0.2112, prior_entropy: 3.6268, recall: 0.2112, relative_absolute_error: 0.9636, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.9821, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.734, build_cpu_time: 237.618, build_memory: 1786982624, f_measure: 0.2242, kappa: 0.1308, kb_relative_information_score: 88.9499, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.2251, predictive_accuracy: 0.2366, prior_entropy: 3.6268, recall: 0.2366, relative_absolute_error: 1.0373, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1767, root_relative_squared_error: 1.006, scimark_benchmark: 938.2126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7349, build_cpu_time: 199.43, build_memory: 1763534792, f_measure: 0.2337, kappa: 0.1434, kb_relative_information_score: 75.3574, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.2331, predictive_accuracy: 0.2475, prior_entropy: 3.6268, recall: 0.2475, relative_absolute_error: 1.0445, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1776, root_relative_squared_error: 1.0106, scimark_benchmark: 926.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7201, build_cpu_time: 99.211, build_memory: 889936736, f_measure: 0.2344, kappa: 0.1455, kb_relative_information_score: 49.8314, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.2318, predictive_accuracy: 0.2482, prior_entropy: 3.6268, recall: 0.2482, relative_absolute_error: 1.06, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1797, root_relative_squared_error: 1.0226, scimark_benchmark: 943.1304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, build_cpu_time: 49.45, build_memory: 495475816, f_measure: 0.2294, kappa: 0.136, kb_relative_information_score: 39.5729, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.231, predictive_accuracy: 0.2402, prior_entropy: 3.6268, recall: 0.2402, relative_absolute_error: 1.0676, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1808, root_relative_squared_error: 1.0292, scimark_benchmark: 919.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7739, build_cpu_time: 51.267, build_memory: 140308104, f_measure: 0.2569, kappa: 0.1829, kb_relative_information_score: 356.6826, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.2483, predictive_accuracy: 0.2845, prior_entropy: 3.6268, recall: 0.2845, relative_absolute_error: 0.9022, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.9558, scimark_benchmark: 940.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, build_cpu_time: 0.034, build_memory: 1632792152, f_measure: 0.2276, kappa: 0.1588, kb_relative_information_score: 319.2273, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.2322, predictive_accuracy: 0.2656, prior_entropy: 3.6268, recall: 0.2656, relative_absolute_error: 0.9009, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.968, scimark_benchmark: 915.0385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7269, build_cpu_time: 2.874, build_memory: 240395192, f_measure: 0.24, kappa: 0.1516, kb_relative_information_score: 342.4383, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.2376, predictive_accuracy: 0.2518, prior_entropy: 3.6268, recall: 0.2518, relative_absolute_error: 0.8952, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.9803, scimark_benchmark: 936.8525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5611, build_cpu_time: 0.774, build_memory: 1197207456, f_measure: 0.1047, kappa: 0.0377, kb_relative_information_score: 88.7056, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.2, predictive_accuracy: 0.1909, prior_entropy: 3.6268, recall: 0.1909, relative_absolute_error: 0.9737, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.175, root_relative_squared_error: 0.9963, scimark_benchmark: 915.0385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.551, build_cpu_time: 0.001, build_memory: 395307560, f_measure: 0.197, kappa: 0.1022, kb_relative_information_score: 199.71, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.1961, predictive_accuracy: 0.1988, prior_entropy: 3.6268, recall: 0.1988, relative_absolute_error: 0.8962, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2339, root_relative_squared_error: 1.3311, scimark_benchmark: 932.1837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6488, build_cpu_time: 8.02, build_memory: 1096266896, f_measure: 0.1248, kappa: 0.0541, kb_relative_information_score: 64.7474, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.0911, predictive_accuracy: 0.1988, prior_entropy: 3.6268, recall: 0.1988, relative_absolute_error: 1.0459, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1785, root_relative_squared_error: 1.016, scimark_benchmark: 941.5807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7182, build_cpu_time: 2.212, build_memory: 923641368, f_measure: 0.1935, kappa: 0.1301, kb_relative_information_score: 78.0409, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.1698, predictive_accuracy: 0.2504, prior_entropy: 3.6268, recall: 0.2504, relative_absolute_error: 1.0441, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1782, root_relative_squared_error: 1.0142, scimark_benchmark: 940.4464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.711, build_cpu_time: 0.007, build_memory: 331999280, f_measure: 0.2094, kappa: 0.1363, kb_relative_information_score: 294.0794, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.1973, predictive_accuracy: 0.2322, prior_entropy: 3.6268, recall: 0.2322, relative_absolute_error: 0.9028, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1877, root_relative_squared_error: 1.0686, scimark_benchmark: 942.4411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.711, build_cpu_time: 0.006, build_memory: 189544000, f_measure: 0.2094, kappa: 0.1363, kb_relative_information_score: 294.0794, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.1973, predictive_accuracy: 0.2322, prior_entropy: 3.6268, recall: 0.2322, relative_absolute_error: 0.9028, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1877, root_relative_squared_error: 1.0686, scimark_benchmark: 946.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7286, build_cpu_time: 0.373, build_memory: 304430680, f_measure: 0.2426, kappa: 0.1534, kb_relative_information_score: 345.589, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.2425, predictive_accuracy: 0.2547, prior_entropy: 3.6268, recall: 0.2547, relative_absolute_error: 0.8954, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.9784, scimark_benchmark: 943.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.559, build_cpu_time: 0.009, build_memory: 547212744, f_measure: 0.2038, kappa: 0.1206, kb_relative_information_score: 233.4492, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.1848, predictive_accuracy: 0.2337, prior_entropy: 3.6268, recall: 0.2337, relative_absolute_error: 0.8555, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2299, root_relative_squared_error: 1.3085, scimark_benchmark: 927.6633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.559, build_cpu_time: 0.009, build_memory: 712358000, f_measure: 0.2038, kappa: 0.1206, kb_relative_information_score: 233.4492, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.1848, predictive_accuracy: 0.2337, prior_entropy: 3.6268, recall: 0.2337, relative_absolute_error: 0.8555, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2299, root_relative_squared_error: 1.3085, scimark_benchmark: 943.4022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5931, build_cpu_time: 0.262, build_memory: 619265960, f_measure: 0.2173, kappa: 0.1283, kb_relative_information_score: 271.3684, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.2133, predictive_accuracy: 0.2257, prior_entropy: 3.6268, recall: 0.2257, relative_absolute_error: 0.8862, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2094, root_relative_squared_error: 1.1918, scimark_benchmark: 922.2602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.711, build_cpu_time: 0.007, build_memory: 303208760, f_measure: 0.2094, kappa: 0.1363, kb_relative_information_score: 294.0794, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.1973, predictive_accuracy: 0.2322, prior_entropy: 3.6268, recall: 0.2322, relative_absolute_error: 0.9028, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1877, root_relative_squared_error: 1.0686, scimark_benchmark: 922.2602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7247, build_cpu_time: 17.762, build_memory: 1249504240, f_measure: 0.209, kappa: 0.13, kb_relative_information_score: 79.4666, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.1928, predictive_accuracy: 0.2482, prior_entropy: 3.6268, recall: 0.2482, relative_absolute_error: 1.0435, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1781, root_relative_squared_error: 1.0138, scimark_benchmark: 934.8065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7247, build_cpu_time: 18.19, build_memory: 808311416, f_measure: 0.209, kappa: 0.13, kb_relative_information_score: 79.4666, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.1928, predictive_accuracy: 0.2482, prior_entropy: 3.6268, recall: 0.2482, relative_absolute_error: 1.0435, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1781, root_relative_squared_error: 1.0138, scimark_benchmark: 932.0191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7259, build_cpu_time: 34.815, build_memory: 914237152, f_measure: 0.21, kappa: 0.1374, kb_relative_information_score: 79.3118, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.1998, predictive_accuracy: 0.2554, prior_entropy: 3.6268, recall: 0.2554, relative_absolute_error: 1.0436, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1781, root_relative_squared_error: 1.0139, scimark_benchmark: 934.1538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7252, build_cpu_time: 69.168, build_memory: 1224193120, f_measure: 0.2026, kappa: 0.13, kb_relative_information_score: 79.3374, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.1943, predictive_accuracy: 0.2496, prior_entropy: 3.6268, recall: 0.2496, relative_absolute_error: 1.0435, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1781, root_relative_squared_error: 1.0139, scimark_benchmark: 935.7354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7263, build_cpu_time: 263.639, build_memory: 1226924000, f_measure: 0.195, kappa: 0.1285, kb_relative_information_score: 78.9351, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.1719, predictive_accuracy: 0.2489, prior_entropy: 3.6268, recall: 0.2489, relative_absolute_error: 1.0437, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1781, root_relative_squared_error: 1.0139, scimark_benchmark: 946.7087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.752, build_cpu_time: 6.753, build_memory: 2303068776, f_measure: 0.2544, kappa: 0.168, kb_relative_information_score: 351.4386, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.2562, predictive_accuracy: 0.27, prior_entropy: 3.6268, recall: 0.27, relative_absolute_error: 0.8961, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.9634, scimark_benchmark: 945.7067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.752, build_cpu_time: 6.077, build_memory: 2644056488, f_measure: 0.2544, kappa: 0.168, kb_relative_information_score: 351.4386, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.2562, predictive_accuracy: 0.27, prior_entropy: 3.6268, recall: 0.27, relative_absolute_error: 0.8961, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.9634, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.752, build_cpu_time: 5.552, build_memory: 366511680, f_measure: 0.2544, kappa: 0.168, kb_relative_information_score: 351.4386, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.0618, number_of_instances: 1378, precision: 0.2562, predictive_accuracy: 0.27, prior_entropy: 3.6268, recall: 0.27, relative_absolute_error: 0.8961, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.9634, scimark_benchmark: 938.8806,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

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