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Function: require_once

A PHP Error was encountered

Severity: Warning

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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

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Backtrace:

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

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

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

Supervised Classification on autos

Task 1773 Supervised Classification autos 294 runs submitted
0 likes downloaded by 1 people , 2 total downloads 0 issues
Visibility: Public
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294 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.5926, kappa: 0.4686, kb_relative_information_score: 531.505, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.6013, predictive_accuracy: 0.5902, prior_entropy: 2.3268, recall: 0.5902, relative_absolute_error: 0.595, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.8543, scimark_benchmark: 869.6028, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5536, f_measure: 0.266, kappa: 0.0963, kb_relative_information_score: 26.6655, mean_absolute_error: 0.2232, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.2635, predictive_accuracy: 0.3844, prior_entropy: 2.3268, recall: 0.3844, relative_absolute_error: 1.0103, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3314, root_relative_squared_error: 0.9988, scimark_benchmark: 938.343, usercpu_time_millis: 160, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8583, f_measure: 0.6527, kappa: 0.5533, kb_relative_information_score: 178.0892, mean_absolute_error: 0.2113, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.6511, predictive_accuracy: 0.6566, prior_entropy: 2.3268, recall: 0.6566, relative_absolute_error: 0.9565, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.9425, scimark_benchmark: 1321.527, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.872, f_measure: 0.6756, kappa: 0.5821, kb_relative_information_score: 577.3605, mean_absolute_error: 0.1139, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.6745, predictive_accuracy: 0.679, prior_entropy: 2.3268, recall: 0.679, relative_absolute_error: 0.5156, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2628, root_relative_squared_error: 0.7922, scimark_benchmark: 908.2231, usercpu_time_millis: 440, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5556, f_measure: 0.2931, kappa: 0.1039, kb_relative_information_score: 137.9716, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.3443, predictive_accuracy: 0.2663, prior_entropy: 2.3268, recall: 0.2663, relative_absolute_error: 0.9488, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.4578, root_relative_squared_error: 1.38, scimark_benchmark: 938.9967, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8802, f_measure: 0.6739, kappa: 0.5803, kb_relative_information_score: 602.9813, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.6702, predictive_accuracy: 0.679, prior_entropy: 2.3268, recall: 0.679, relative_absolute_error: 0.4519, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2702, root_relative_squared_error: 0.8144, scimark_benchmark: 1073.494, usercpu_time_millis: 460, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8087, f_measure: 0.6814, kappa: 0.5855, kb_relative_information_score: 612.8954, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.6831, predictive_accuracy: 0.681, prior_entropy: 2.3268, recall: 0.681, relative_absolute_error: 0.4237, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.8835, scimark_benchmark: 1319.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, f_measure: 0.5173, kappa: 0.3833, kb_relative_information_score: 437.6581, mean_absolute_error: 0.1489, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.5163, predictive_accuracy: 0.5337, prior_entropy: 2.3268, recall: 0.5337, relative_absolute_error: 0.6738, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.9189, scimark_benchmark: 1066.7184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8327, f_measure: 0.6513, kappa: 0.5502, kb_relative_information_score: 555.2843, mean_absolute_error: 0.1163, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.6581, predictive_accuracy: 0.6556, prior_entropy: 2.3268, recall: 0.6556, relative_absolute_error: 0.5266, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2827, root_relative_squared_error: 0.852, scimark_benchmark: 1321.6263, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7689, f_measure: 0.6445, kappa: 0.5407, kb_relative_information_score: 576.8746, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.6442, predictive_accuracy: 0.6478, prior_entropy: 2.3268, recall: 0.6478, relative_absolute_error: 0.4555, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3172, root_relative_squared_error: 0.9562, scimark_benchmark: 1315.395, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5676, f_measure: 0.2309, kappa: 0.11, kb_relative_information_score: 24.6503, mean_absolute_error: 0.2433, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.971, predictive_accuracy: 0.1483, prior_entropy: 2.3268, recall: 0.1483, relative_absolute_error: 1.1015, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.4933, root_relative_squared_error: 1.4869, scimark_benchmark: 1368.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8142, f_measure: 0.6369, kappa: 0.5263, kb_relative_information_score: 539.2656, mean_absolute_error: 0.1197, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.6412, predictive_accuracy: 0.6351, prior_entropy: 2.3268, recall: 0.6351, relative_absolute_error: 0.5417, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.8847, scimark_benchmark: 1384.4418, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6534, f_measure: 0.462, kappa: 0.31, kb_relative_information_score: 363.9685, mean_absolute_error: 0.1477, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.5092, predictive_accuracy: 0.4829, prior_entropy: 2.3268, recall: 0.4829, relative_absolute_error: 0.6687, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3844, root_relative_squared_error: 1.1586, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7459, f_measure: 0.6077, kappa: 0.493, kb_relative_information_score: 530.0989, mean_absolute_error: 0.1112, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.6054, predictive_accuracy: 0.6107, prior_entropy: 2.3268, recall: 0.6107, relative_absolute_error: 0.5034, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3335, root_relative_squared_error: 1.0052, scimark_benchmark: 1028.5889, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, f_measure: 0.161, kb_relative_information_score: 0.6309, mean_absolute_error: 0.2217, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.1068, predictive_accuracy: 0.3268, prior_entropy: 2.3268, recall: 0.3268, relative_absolute_error: 1.0036, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3319, root_relative_squared_error: 1.0003, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, f_measure: 0.6941, kappa: 0.6057, kb_relative_information_score: 638.1253, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.7027, predictive_accuracy: 0.6966, prior_entropy: 2.3268, recall: 0.6966, relative_absolute_error: 0.4443, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2665, root_relative_squared_error: 0.8034, scimark_benchmark: 1066.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8147, build_cpu_time: 4.3912, build_memory: 2285450992.7883, f_measure: 0.6782, kappa: 0.5819, kb_relative_information_score: 616.4905, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.6787, predictive_accuracy: 0.678, prior_entropy: 2.3268, recall: 0.678, relative_absolute_error: 0.4175, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.9076, scimark_benchmark: 938.8409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, build_cpu_time: 2.5455, build_memory: 914778401.6, f_measure: 0.6855, kappa: 0.5912, kb_relative_information_score: 623.1334, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.6865, predictive_accuracy: 0.6849, prior_entropy: 2.3268, recall: 0.6849, relative_absolute_error: 0.4112, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2977, root_relative_squared_error: 0.8973, scimark_benchmark: 944.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8415, build_cpu_time: 1.1581, build_memory: 888994116.5737, f_measure: 0.6876, kappa: 0.5944, kb_relative_information_score: 632.0552, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.6879, predictive_accuracy: 0.6878, prior_entropy: 2.3268, recall: 0.6878, relative_absolute_error: 0.4008, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.8758, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, build_cpu_time: 0.601, build_memory: 938726068.402, f_measure: 0.6802, kappa: 0.5849, kb_relative_information_score: 621.4691, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.6809, predictive_accuracy: 0.68, prior_entropy: 2.3268, recall: 0.68, relative_absolute_error: 0.4169, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2932, root_relative_squared_error: 0.8839, scimark_benchmark: 923.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7556, build_cpu_time: 0.0049, build_memory: 1622924579.8088, f_measure: 0.5003, kappa: 0.3581, kb_relative_information_score: 194.4555, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.5034, predictive_accuracy: 0.5141, prior_entropy: 2.3268, recall: 0.5141, relative_absolute_error: 0.9194, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.949, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7556, build_cpu_time: 0.0066, build_memory: 406183167.7112, f_measure: 0.5003, kappa: 0.3581, kb_relative_information_score: 194.4555, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.5034, predictive_accuracy: 0.5141, prior_entropy: 2.3268, recall: 0.5141, relative_absolute_error: 0.9194, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.949, scimark_benchmark: 940.5101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7556, build_cpu_time: 0.0078, build_memory: 72674056.1015, f_measure: 0.5003, kappa: 0.3581, kb_relative_information_score: 194.4555, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.5034, predictive_accuracy: 0.5141, prior_entropy: 2.3268, recall: 0.5141, relative_absolute_error: 0.9194, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.949, scimark_benchmark: 919.6575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7556, build_cpu_time: 0.0091, build_memory: 1576384000.5698, f_measure: 0.5003, kappa: 0.3581, kb_relative_information_score: 194.4555, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.5034, predictive_accuracy: 0.5141, prior_entropy: 2.3268, recall: 0.5141, relative_absolute_error: 0.9194, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.949, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7556, build_cpu_time: 0.0131, build_memory: 100636025.2566, f_measure: 0.5003, kappa: 0.3581, kb_relative_information_score: 194.4555, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.5034, predictive_accuracy: 0.5141, prior_entropy: 2.3268, recall: 0.5141, relative_absolute_error: 0.9194, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.949, scimark_benchmark: 943.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, build_cpu_time: 0.0038, build_memory: 564144249.1551, f_measure: 0.6603, kappa: 0.5592, kb_relative_information_score: 591.5791, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.6606, predictive_accuracy: 0.6615, prior_entropy: 2.3268, recall: 0.6615, relative_absolute_error: 0.4455, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.908, scimark_benchmark: 941.8828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, build_cpu_time: 0.0033, build_memory: 1926085890.3961, f_measure: 0.6603, kappa: 0.5592, kb_relative_information_score: 591.5791, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.6606, predictive_accuracy: 0.6615, prior_entropy: 2.3268, recall: 0.6615, relative_absolute_error: 0.4455, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.908, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, build_cpu_time: 0.0024, build_memory: 3114936631.6878, f_measure: 0.6603, kappa: 0.5592, kb_relative_information_score: 591.5791, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.6606, predictive_accuracy: 0.6615, prior_entropy: 2.3268, recall: 0.6615, relative_absolute_error: 0.4455, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.908, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, build_cpu_time: 0.002, build_memory: 624650863.3054, f_measure: 0.6603, kappa: 0.5592, kb_relative_information_score: 591.5791, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.6606, predictive_accuracy: 0.6615, prior_entropy: 2.3268, recall: 0.6615, relative_absolute_error: 0.4455, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.908, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, build_cpu_time: 0.0017, build_memory: 1393321824, f_measure: 0.6603, kappa: 0.5592, kb_relative_information_score: 591.5791, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.6606, predictive_accuracy: 0.6615, prior_entropy: 2.3268, recall: 0.6615, relative_absolute_error: 0.4455, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.908, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, build_cpu_time: 0.0436, build_memory: 748449611.5824, f_measure: 0.7481, kappa: 0.6739, kb_relative_information_score: 591.9702, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.7504, predictive_accuracy: 0.7502, prior_entropy: 2.3268, recall: 0.7502, relative_absolute_error: 0.5493, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.6858, scimark_benchmark: 939.9709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, build_cpu_time: 0.0535, build_memory: 1749269482.5444, f_measure: 0.7481, kappa: 0.6739, kb_relative_information_score: 591.9702, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.7504, predictive_accuracy: 0.7502, prior_entropy: 2.3268, recall: 0.7502, relative_absolute_error: 0.5493, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.6858, scimark_benchmark: 924.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, build_cpu_time: 0.0314, build_memory: 2660941780.6673, f_measure: 0.7481, kappa: 0.6739, kb_relative_information_score: 591.9702, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.7504, predictive_accuracy: 0.7502, prior_entropy: 2.3268, recall: 0.7502, relative_absolute_error: 0.5493, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.6858, scimark_benchmark: 872.1114,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, build_cpu_time: 0.0566, build_memory: 766804292.9327, f_measure: 0.7481, kappa: 0.6739, kb_relative_information_score: 591.9702, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.7504, predictive_accuracy: 0.7502, prior_entropy: 2.3268, recall: 0.7502, relative_absolute_error: 0.5493, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.6858, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7465, build_cpu_time: 0.005, build_memory: 169155774.2673, f_measure: 0.4736, kappa: 0.322, kb_relative_information_score: 21.3692, mean_absolute_error: 0.2338, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.478, predictive_accuracy: 0.4937, prior_entropy: 2.3268, recall: 0.4937, relative_absolute_error: 1.0585, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3354, root_relative_squared_error: 1.0109, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7465, build_cpu_time: 0.0051, build_memory: 1414829215.5005, f_measure: 0.4736, kappa: 0.322, kb_relative_information_score: 21.3692, mean_absolute_error: 0.2338, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.478, predictive_accuracy: 0.4937, prior_entropy: 2.3268, recall: 0.4937, relative_absolute_error: 1.0585, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3354, root_relative_squared_error: 1.0109, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7465, build_cpu_time: 0.0028, build_memory: 1934054080.8039, f_measure: 0.4736, kappa: 0.322, kb_relative_information_score: 21.3692, mean_absolute_error: 0.2338, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.478, predictive_accuracy: 0.4937, prior_entropy: 2.3268, recall: 0.4937, relative_absolute_error: 1.0585, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3354, root_relative_squared_error: 1.0109, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7465, build_cpu_time: 0.0025, build_memory: 422967723.1766, f_measure: 0.4736, kappa: 0.322, kb_relative_information_score: 21.3692, mean_absolute_error: 0.2338, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.478, predictive_accuracy: 0.4937, prior_entropy: 2.3268, recall: 0.4937, relative_absolute_error: 1.0585, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3354, root_relative_squared_error: 1.0109, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7465, build_cpu_time: 0.0024, build_memory: 1178391736, f_measure: 0.4736, kappa: 0.322, kb_relative_information_score: 21.3692, mean_absolute_error: 0.2338, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.478, predictive_accuracy: 0.4937, prior_entropy: 2.3268, recall: 0.4937, relative_absolute_error: 1.0585, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3354, root_relative_squared_error: 1.0109, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7626, build_cpu_time: 0.0405, build_memory: 807768423.9063, f_measure: 0.5387, kappa: 0.407, kb_relative_information_score: 327.5739, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.574, predictive_accuracy: 0.5317, prior_entropy: 2.3268, recall: 0.5317, relative_absolute_error: 0.7907, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3146, root_relative_squared_error: 0.9483, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7596, build_cpu_time: 0.0582, build_memory: 543882343.5629, f_measure: 0.5516, kappa: 0.423, kb_relative_information_score: 345.3478, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.5835, predictive_accuracy: 0.5454, prior_entropy: 2.3268, recall: 0.5454, relative_absolute_error: 0.7658, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3172, root_relative_squared_error: 0.956, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7585, build_cpu_time: 0.0642, build_memory: 293929820.9717, f_measure: 0.5558, kappa: 0.4279, kb_relative_information_score: 347.756, mean_absolute_error: 0.1683, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.588, predictive_accuracy: 0.5493, prior_entropy: 2.3268, recall: 0.5493, relative_absolute_error: 0.762, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3163, root_relative_squared_error: 0.9533, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7585, build_cpu_time: 0.0704, build_memory: 570926505.9044, f_measure: 0.5558, kappa: 0.4279, kb_relative_information_score: 347.756, mean_absolute_error: 0.1683, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.588, predictive_accuracy: 0.5493, prior_entropy: 2.3268, recall: 0.5493, relative_absolute_error: 0.762, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3163, root_relative_squared_error: 0.9533, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7585, build_cpu_time: 0.0852, build_memory: 748491201.5766, f_measure: 0.5558, kappa: 0.4279, kb_relative_information_score: 347.756, mean_absolute_error: 0.1683, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.588, predictive_accuracy: 0.5493, prior_entropy: 2.3268, recall: 0.5493, relative_absolute_error: 0.762, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3163, root_relative_squared_error: 0.9533, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, build_cpu_time: 1.1201, build_memory: 167112467.3561, f_measure: 0.6002, kappa: 0.4813, kb_relative_information_score: 428.1487, mean_absolute_error: 0.1475, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.6005, predictive_accuracy: 0.6049, prior_entropy: 2.3268, recall: 0.6049, relative_absolute_error: 0.6676, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2924, root_relative_squared_error: 0.8815, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, build_cpu_time: 1.9267, build_memory: 22776510.7434, f_measure: 0.61, kappa: 0.4914, kb_relative_information_score: 459.6163, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.6157, predictive_accuracy: 0.6156, prior_entropy: 2.3268, recall: 0.6156, relative_absolute_error: 0.6131, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.8825, scimark_benchmark: 889.6909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, build_cpu_time: 2.9901, build_memory: 31385927.2117, f_measure: 0.6154, kappa: 0.4986, kb_relative_information_score: 460.5986, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.6221, predictive_accuracy: 0.6215, prior_entropy: 2.3268, recall: 0.6215, relative_absolute_error: 0.6029, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2979, root_relative_squared_error: 0.8981, scimark_benchmark: 941.9215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8222, build_cpu_time: 4.2906, build_memory: 227336910.0878, f_measure: 0.6248, kappa: 0.5103, kb_relative_information_score: 467.7604, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.6335, predictive_accuracy: 0.6302, prior_entropy: 2.3268, recall: 0.6302, relative_absolute_error: 0.5952, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2963, root_relative_squared_error: 0.8932, scimark_benchmark: 941.6106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8198, build_cpu_time: 6.0446, build_memory: 22172969.7093, f_measure: 0.6254, kappa: 0.5113, kb_relative_information_score: 469.0649, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.6348, predictive_accuracy: 0.6312, prior_entropy: 2.3268, recall: 0.6312, relative_absolute_error: 0.5928, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2961, root_relative_squared_error: 0.8926, scimark_benchmark: 939.8137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8116, build_cpu_time: 78.6761, build_memory: 617229991.1805, f_measure: 0.6998, kappa: 0.6098, kb_relative_information_score: 642.2035, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.7006, predictive_accuracy: 0.7005, prior_entropy: 2.3268, recall: 0.7005, relative_absolute_error: 0.3879, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2917, root_relative_squared_error: 0.8792, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, build_cpu_time: 33.9733, build_memory: 45710339.0205, f_measure: 0.7016, kappa: 0.6122, kb_relative_information_score: 644.486, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.7023, predictive_accuracy: 0.7024, prior_entropy: 2.3268, recall: 0.7024, relative_absolute_error: 0.3846, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2898, root_relative_squared_error: 0.8735, scimark_benchmark: 931.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8427, build_cpu_time: 17.4872, build_memory: 288329868.3005, f_measure: 0.7097, kappa: 0.623, kb_relative_information_score: 653.8573, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.7104, predictive_accuracy: 0.7102, prior_entropy: 2.3268, recall: 0.7102, relative_absolute_error: 0.3765, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2851, root_relative_squared_error: 0.8593, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, build_cpu_time: 8.2315, build_memory: 754902085.6039, f_measure: 0.7111, kappa: 0.625, kb_relative_information_score: 652.0504, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.7117, predictive_accuracy: 0.7122, prior_entropy: 2.3268, recall: 0.7122, relative_absolute_error: 0.3779, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2818, root_relative_squared_error: 0.8494, scimark_benchmark: 907.4175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, build_cpu_time: 0.8744, build_memory: 784160211.6215, f_measure: 0.7136, kappa: 0.6271, kb_relative_information_score: 648.4153, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.7151, predictive_accuracy: 0.7151, prior_entropy: 2.3268, recall: 0.7151, relative_absolute_error: 0.3942, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2589, root_relative_squared_error: 0.7805, scimark_benchmark: 919.5971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, build_cpu_time: 3.1041, build_memory: 74777675.5356, f_measure: 0.7348, kappa: 0.6576, kb_relative_information_score: 679.4329, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.7335, predictive_accuracy: 0.7376, prior_entropy: 2.3268, recall: 0.7376, relative_absolute_error: 0.342, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.8003, scimark_benchmark: 924.2473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, build_cpu_time: 5.9504, build_memory: 301800684.8312, f_measure: 0.7571, kappa: 0.6851, kb_relative_information_score: 705.5297, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.7572, predictive_accuracy: 0.759, prior_entropy: 2.3268, recall: 0.759, relative_absolute_error: 0.3141, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.7789, scimark_benchmark: 899.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, build_cpu_time: 1.0308, build_memory: 1025569146.8644, f_measure: 0.7608, kappa: 0.6873, kb_relative_information_score: 726.8809, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.7632, predictive_accuracy: 0.761, prior_entropy: 2.3268, recall: 0.761, relative_absolute_error: 0.311, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.7674, scimark_benchmark: 934.2858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9134, build_cpu_time: 0.2178, build_memory: 2118754050.3805, f_measure: 0.7508, kappa: 0.6739, kb_relative_information_score: 715.5208, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.7536, predictive_accuracy: 0.7512, prior_entropy: 2.3268, recall: 0.7512, relative_absolute_error: 0.3271, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2501, root_relative_squared_error: 0.7539, scimark_benchmark: 916.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, build_cpu_time: 0.1265, build_memory: 849627577.842, f_measure: 0.7346, kappa: 0.6526, kb_relative_information_score: 685.5671, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.7383, predictive_accuracy: 0.7356, prior_entropy: 2.3268, recall: 0.7356, relative_absolute_error: 0.3693, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.7522, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, build_cpu_time: 0.0398, build_memory: 1894277679.4849, f_measure: 0.7536, kappa: 0.6803, kb_relative_information_score: 721.9674, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.7538, predictive_accuracy: 0.7541, prior_entropy: 2.3268, recall: 0.7541, relative_absolute_error: 0.3153, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.249, root_relative_squared_error: 0.7507, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, build_cpu_time: 0.0502, build_memory: 1155494152.4527, f_measure: 0.7573, kappa: 0.6858, kb_relative_information_score: 723.044, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.7575, predictive_accuracy: 0.758, prior_entropy: 2.3268, recall: 0.758, relative_absolute_error: 0.3078, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2527, root_relative_squared_error: 0.7616, scimark_benchmark: 943.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, build_cpu_time: 0.1148, build_memory: 138541467.6137, f_measure: 0.7852, kappa: 0.7225, kb_relative_information_score: 748.4356, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.7849, predictive_accuracy: 0.7863, prior_entropy: 2.3268, recall: 0.7863, relative_absolute_error: 0.2799, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2449, root_relative_squared_error: 0.7381, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, build_cpu_time: 0.1955, build_memory: 102322092.6049, f_measure: 0.779, kappa: 0.7152, kb_relative_information_score: 741.6962, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.779, predictive_accuracy: 0.7805, prior_entropy: 2.3268, recall: 0.7805, relative_absolute_error: 0.2839, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.749, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, build_cpu_time: 0.429, build_memory: 495959689.2878, f_measure: 0.7832, kappa: 0.72, kb_relative_information_score: 745.8571, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.7833, predictive_accuracy: 0.7844, prior_entropy: 2.3268, recall: 0.7844, relative_absolute_error: 0.2794, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2477, root_relative_squared_error: 0.7467, scimark_benchmark: 908.2898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8027, build_cpu_time: 0.0271, build_memory: 785283409.4361, f_measure: 0.6835, kappa: 0.5884, kb_relative_information_score: 597.3988, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.6931, predictive_accuracy: 0.68, prior_entropy: 2.3268, recall: 0.68, relative_absolute_error: 0.4583, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.8844, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8027, build_cpu_time: 0.0114, build_memory: 132223674.5912, f_measure: 0.6835, kappa: 0.5884, kb_relative_information_score: 597.3988, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.6931, predictive_accuracy: 0.68, prior_entropy: 2.3268, recall: 0.68, relative_absolute_error: 0.4583, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.8844, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8027, build_cpu_time: 0.0095, build_memory: 1011958102.9854, f_measure: 0.6835, kappa: 0.5884, kb_relative_information_score: 597.3988, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.6931, predictive_accuracy: 0.68, prior_entropy: 2.3268, recall: 0.68, relative_absolute_error: 0.4583, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.8844, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6845, build_cpu_time: 0.0019, build_memory: 97489404.761, f_measure: 0.3244, kappa: 0.1986, kb_relative_information_score: 237.1401, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.2574, predictive_accuracy: 0.439, prior_entropy: 2.3268, recall: 0.439, relative_absolute_error: 0.8859, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3172, root_relative_squared_error: 0.9561, scimark_benchmark: 919.5971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6845, build_cpu_time: 0.0033, build_memory: 75926913.4127, f_measure: 0.3244, kappa: 0.1986, kb_relative_information_score: 237.1401, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.2574, predictive_accuracy: 0.439, prior_entropy: 2.3268, recall: 0.439, relative_absolute_error: 0.8859, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3172, root_relative_squared_error: 0.9561, scimark_benchmark: 943.4024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, build_cpu_time: 3.1314, build_memory: 558805562.841, f_measure: 0.7724, kappa: 0.7047, kb_relative_information_score: 735.2591, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.7722, predictive_accuracy: 0.7727, prior_entropy: 2.3268, recall: 0.7727, relative_absolute_error: 0.2943, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2521, root_relative_squared_error: 0.7599, scimark_benchmark: 942.4591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, build_cpu_time: 1.55, build_memory: 2266739538.6537, f_measure: 0.7699, kappa: 0.7016, kb_relative_information_score: 731.703, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.7701, predictive_accuracy: 0.7707, prior_entropy: 2.3268, recall: 0.7707, relative_absolute_error: 0.3004, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2503, root_relative_squared_error: 0.7545, scimark_benchmark: 943.1304,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, build_cpu_time: 0.0019, build_memory: 671087981.9629, f_measure: 0.723, kappa: 0.6428, kb_relative_information_score: 661.6903, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.7235, predictive_accuracy: 0.7249, prior_entropy: 2.3268, recall: 0.7249, relative_absolute_error: 0.395, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.7674, scimark_benchmark: 906.4221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, build_cpu_time: 0.0354, build_memory: 145206416.9834, f_measure: 0.7586, kappa: 0.6877, kb_relative_information_score: 597.8604, mean_absolute_error: 0.1196, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.758, predictive_accuracy: 0.76, prior_entropy: 2.3268, recall: 0.76, relative_absolute_error: 0.5414, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.6804, scimark_benchmark: 943.7068,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8583, build_cpu_time: 0.0827, build_memory: 860623075.3873, f_measure: 0.6527, kappa: 0.5533, kb_relative_information_score: 178.0892, mean_absolute_error: 0.2113, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.6511, predictive_accuracy: 0.6566, prior_entropy: 2.3268, recall: 0.6566, relative_absolute_error: 0.9565, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.9425, scimark_benchmark: 940.4464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, build_cpu_time: 0.591, build_memory: 87129419.9883, f_measure: 0.6268, kappa: 0.5123, kb_relative_information_score: 551.4628, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.6348, predictive_accuracy: 0.6234, prior_entropy: 2.3268, recall: 0.6234, relative_absolute_error: 0.4874, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3217, root_relative_squared_error: 0.9698, scimark_benchmark: 918.4301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, build_cpu_time: 0.0004, build_memory: 706834595.9571, f_measure: 0.532, kappa: 0.4109, kb_relative_information_score: 463.1148, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.5627, predictive_accuracy: 0.5356, prior_entropy: 2.3268, recall: 0.5356, relative_absolute_error: 0.6157, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3349, root_relative_squared_error: 1.0096, scimark_benchmark: 946.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8009, build_cpu_time: 0.0134, build_memory: 562132677.1356, f_measure: 0.549, kappa: 0.4145, kb_relative_information_score: 425.4349, mean_absolute_error: 0.1549, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.5577, predictive_accuracy: 0.5551, prior_entropy: 2.3268, recall: 0.5551, relative_absolute_error: 0.7013, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2961, root_relative_squared_error: 0.8925, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6845, build_cpu_time: 0.0016, build_memory: 584855638.4078, f_measure: 0.3244, kappa: 0.1986, kb_relative_information_score: 237.1401, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.2574, predictive_accuracy: 0.439, prior_entropy: 2.3268, recall: 0.439, relative_absolute_error: 0.8859, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3172, root_relative_squared_error: 0.9561, scimark_benchmark: 945.1122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6845, build_cpu_time: 0.0018, build_memory: 205264652.2615, f_measure: 0.3244, kappa: 0.1986, kb_relative_information_score: 237.1401, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.2574, predictive_accuracy: 0.439, prior_entropy: 2.3268, recall: 0.439, relative_absolute_error: 0.8859, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3172, root_relative_squared_error: 0.9561, scimark_benchmark: 934.4754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6534, build_cpu_time: 0.0004, build_memory: 621023507.2, f_measure: 0.462, kappa: 0.31, kb_relative_information_score: 363.9685, mean_absolute_error: 0.1477, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.5092, predictive_accuracy: 0.4829, prior_entropy: 2.3268, recall: 0.4829, relative_absolute_error: 0.6687, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3844, root_relative_squared_error: 1.1586, scimark_benchmark: 946.8522,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6534, build_cpu_time: 0.001, build_memory: 355037217.7873, f_measure: 0.462, kappa: 0.31, kb_relative_information_score: 363.9685, mean_absolute_error: 0.1477, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.5092, predictive_accuracy: 0.4829, prior_entropy: 2.3268, recall: 0.4829, relative_absolute_error: 0.6687, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3844, root_relative_squared_error: 1.1586, scimark_benchmark: 947.5974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, build_cpu_time: 0.0004, build_memory: 342885521.6, f_measure: 0.161, kb_relative_information_score: 0.6309, mean_absolute_error: 0.2217, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.1068, predictive_accuracy: 0.3268, prior_entropy: 2.3268, recall: 0.3268, relative_absolute_error: 1.0036, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3319, root_relative_squared_error: 1.0003, scimark_benchmark: 940.3415,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, build_cpu_time: 0.0001, build_memory: 809629291.3951, f_measure: 0.161, kb_relative_information_score: 0.6309, mean_absolute_error: 0.2217, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.1068, predictive_accuracy: 0.3268, prior_entropy: 2.3268, recall: 0.3268, relative_absolute_error: 1.0036, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3319, root_relative_squared_error: 1.0003, scimark_benchmark: 922.5645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, build_cpu_time: 0.5195, build_memory: 1596938073.4283, f_measure: 0.648, kappa: 0.5482, kb_relative_information_score: 167.592, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.644, predictive_accuracy: 0.6556, prior_entropy: 2.3268, recall: 0.6556, relative_absolute_error: 0.9628, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3141, root_relative_squared_error: 0.9468, scimark_benchmark: 943.4668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, build_cpu_time: 0.9248, build_memory: 1085039540.6751, f_measure: 0.6482, kappa: 0.5474, kb_relative_information_score: 166.4761, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.6439, predictive_accuracy: 0.6546, prior_entropy: 2.3268, recall: 0.6546, relative_absolute_error: 0.9632, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3142, root_relative_squared_error: 0.9472, scimark_benchmark: 936.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, build_cpu_time: 2.3645, build_memory: 778235409.2488, f_measure: 0.6533, kappa: 0.5554, kb_relative_information_score: 166.8313, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.6484, predictive_accuracy: 0.6605, prior_entropy: 2.3268, recall: 0.6605, relative_absolute_error: 0.9628, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3142, root_relative_squared_error: 0.947, scimark_benchmark: 901.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, build_cpu_time: 4.6567, build_memory: 934593746.1776, f_measure: 0.6509, kappa: 0.552, kb_relative_information_score: 167.3867, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.6462, predictive_accuracy: 0.6585, prior_entropy: 2.3268, recall: 0.6585, relative_absolute_error: 0.9623, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.3141, root_relative_squared_error: 0.9468, scimark_benchmark: 938.2568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8097, build_cpu_time: 0.1646, build_memory: 1923643308.0898, f_measure: 0.5569, kappa: 0.4277, kb_relative_information_score: 426.6364, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.5582, predictive_accuracy: 0.5668, prior_entropy: 2.3268, recall: 0.5668, relative_absolute_error: 0.7043, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2926, root_relative_squared_error: 0.8819, scimark_benchmark: 938.5838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, build_cpu_time: 0.0976, build_memory: 1060619626.4663, f_measure: 0.5539, kappa: 0.4231, kb_relative_information_score: 427.1049, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.554, predictive_accuracy: 0.5629, prior_entropy: 2.3268, recall: 0.5629, relative_absolute_error: 0.7038, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.293, root_relative_squared_error: 0.8831, scimark_benchmark: 939.8999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, build_cpu_time: 0.0518, build_memory: 1176188637.4712, f_measure: 0.5589, kappa: 0.4274, kb_relative_information_score: 427.8591, mean_absolute_error: 0.1552, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.5695, predictive_accuracy: 0.5668, prior_entropy: 2.3268, recall: 0.5668, relative_absolute_error: 0.7026, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2933, root_relative_squared_error: 0.884, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8059, build_cpu_time: 0.0249, build_memory: 1929251068.402, f_measure: 0.5639, kappa: 0.4329, kb_relative_information_score: 425.3767, mean_absolute_error: 0.1554, mean_prior_absolute_error: 0.2209, number_of_instances: 1025, precision: 0.5769, predictive_accuracy: 0.5707, prior_entropy: 2.3268, recall: 0.5707, relative_absolute_error: 0.7034, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2942, root_relative_squared_error: 0.8867, scimark_benchmark: 949.2096,

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