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Severity: Warning

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Backtrace:

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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: loadpage

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

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Severity: Warning

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

Filename: models/Log.php

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Backtrace:

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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 squash-stored

Supervised Classification on squash-stored

Task 3060 Supervised Classification squash-stored 309 runs submitted
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309 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6957, f_measure: 0.4736, kappa: 0.1105, kb_relative_information_score: 5.9955, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.5387, predictive_accuracy: 0.4706, prior_entropy: 1.4782, recall: 0.4706, relative_absolute_error: 0.7316, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4584, root_relative_squared_error: 1.0031, scimark_benchmark: 1335.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4495, f_measure: 0.3223, kappa: -0.1065, kb_relative_information_score: 1.0618, mean_absolute_error: 0.4052, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.2974, predictive_accuracy: 0.3529, prior_entropy: 1.4782, recall: 0.3529, relative_absolute_error: 0.9732, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.507, root_relative_squared_error: 1.1096, scimark_benchmark: 885.0921, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5415, f_measure: 0.4085, kb_relative_information_score: 3.0563, mean_absolute_error: 0.3791, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.4706, predictive_accuracy: 0.4118, prior_entropy: 1.4782, recall: 0.4118, relative_absolute_error: 0.9104, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4806, root_relative_squared_error: 1.0517, scimark_benchmark: 912.5006, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6201, f_measure: 0.332, kappa: -0.0809, kb_relative_information_score: 2.0832, mean_absolute_error: 0.3968, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.3235, predictive_accuracy: 0.3529, prior_entropy: 1.4782, recall: 0.3529, relative_absolute_error: 0.953, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.5874, root_relative_squared_error: 1.2855, scimark_benchmark: 1337.7959, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5696, f_measure: 0.3798, kappa: 0.1257, kb_relative_information_score: 3.5325, mean_absolute_error: 0.3529, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.3186, predictive_accuracy: 0.4706, prior_entropy: 1.4782, recall: 0.4706, relative_absolute_error: 0.8476, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.5941, root_relative_squared_error: 1.3001, scimark_benchmark: 1304.9611, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, f_measure: 0.4485, kappa: 0.1156, kb_relative_information_score: 5.3443, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.4412, predictive_accuracy: 0.4706, prior_entropy: 1.4782, recall: 0.4706, relative_absolute_error: 0.7513, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.5151, root_relative_squared_error: 1.1272, scimark_benchmark: 1315.3881, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7093, f_measure: 0.5196, kappa: 0.2, kb_relative_information_score: 4.3498, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.5765, predictive_accuracy: 0.5294, prior_entropy: 1.4782, recall: 0.5294, relative_absolute_error: 0.8201, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4244, root_relative_squared_error: 0.9289, scimark_benchmark: 1315.3881, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6704, f_measure: 0.5821, kappa: 0.3497, kb_relative_information_score: 6.7818, mean_absolute_error: 0.2786, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.5824, predictive_accuracy: 0.5882, prior_entropy: 1.4782, recall: 0.5882, relative_absolute_error: 0.6692, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.5244, root_relative_squared_error: 1.1475, scimark_benchmark: 1361.1055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3012, kb_relative_information_score: 0.225, mean_absolute_error: 0.4146, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.2215, predictive_accuracy: 0.4706, prior_entropy: 1.4782, recall: 0.4706, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4588, root_relative_squared_error: 1.004, scimark_benchmark: 1306.6379, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7549, f_measure: 0.7087, kappa: 0.5143, kb_relative_information_score: 9.6779, mean_absolute_error: 0.197, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.7255, predictive_accuracy: 0.7059, prior_entropy: 1.4782, recall: 0.7059, relative_absolute_error: 0.473, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4241, root_relative_squared_error: 0.9282, scimark_benchmark: 1354.2491, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4693, f_measure: 0.3294, kappa: -0.0625, kb_relative_information_score: 0.2942, mean_absolute_error: 0.4314, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.3193, predictive_accuracy: 0.3529, prior_entropy: 1.4782, recall: 0.3529, relative_absolute_error: 1.036, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.6568, root_relative_squared_error: 1.4374, scimark_benchmark: 1306.6379, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3012, kb_relative_information_score: 2.9604, mean_absolute_error: 0.3529, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.2215, predictive_accuracy: 0.4706, prior_entropy: 1.4782, recall: 0.4706, relative_absolute_error: 0.8476, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.5941, root_relative_squared_error: 1.3001, scimark_benchmark: 1466.6185, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7472, f_measure: 0.6429, kappa: 0.4138, kb_relative_information_score: 7.1349, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.7059, predictive_accuracy: 0.6471, prior_entropy: 1.4782, recall: 0.6471, relative_absolute_error: 0.6122, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4375, root_relative_squared_error: 0.9574, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4693, f_measure: 0.3294, kappa: -0.0625, kb_relative_information_score: 0.2942, mean_absolute_error: 0.4314, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.3193, predictive_accuracy: 0.3529, prior_entropy: 1.4782, recall: 0.3529, relative_absolute_error: 1.036, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.6568, root_relative_squared_error: 1.4374, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6512, f_measure: 0.5585, kappa: 0.3041, kb_relative_information_score: 6.3183, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.5642, predictive_accuracy: 0.5882, prior_entropy: 1.4782, recall: 0.5882, relative_absolute_error: 0.6592, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.5239, root_relative_squared_error: 1.1466, scimark_benchmark: 1380.2233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3012, kb_relative_information_score: 0.0711, mean_absolute_error: 0.4169, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.2215, predictive_accuracy: 0.4706, prior_entropy: 1.4782, recall: 0.4706, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4584, root_relative_squared_error: 1.0031, scimark_benchmark: 1503.3362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.7113, kappa: 0.5198, kb_relative_information_score: 9.6762, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.7311, predictive_accuracy: 0.7059, prior_entropy: 1.4782, recall: 0.7059, relative_absolute_error: 0.4709, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.9691, scimark_benchmark: 1605.6303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5415, build_cpu_time: 0.017, build_memory: 796203224, f_measure: 0.4085, kb_relative_information_score: 3.0563, mean_absolute_error: 0.3791, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.4706, predictive_accuracy: 0.4118, prior_entropy: 1.4782, recall: 0.4118, relative_absolute_error: 0.9104, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4806, root_relative_squared_error: 1.0517, scimark_benchmark: 936.5273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5415, build_cpu_time: 0.011, build_memory: 1245023960, f_measure: 0.4085, kb_relative_information_score: 3.0563, mean_absolute_error: 0.3791, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.4706, predictive_accuracy: 0.4118, prior_entropy: 1.4782, recall: 0.4118, relative_absolute_error: 0.9104, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4806, root_relative_squared_error: 1.0517, scimark_benchmark: 874.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5415, build_cpu_time: 0.013, build_memory: 215292000, f_measure: 0.4085, kb_relative_information_score: 3.0563, mean_absolute_error: 0.3791, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.4706, predictive_accuracy: 0.4118, prior_entropy: 1.4782, recall: 0.4118, relative_absolute_error: 0.9104, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4806, root_relative_squared_error: 1.0517, scimark_benchmark: 937.3768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5415, build_cpu_time: 0.02, build_memory: 69417144, f_measure: 0.4085, kb_relative_information_score: 3.0563, mean_absolute_error: 0.3791, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.4706, predictive_accuracy: 0.4118, prior_entropy: 1.4782, recall: 0.4118, relative_absolute_error: 0.9104, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4806, root_relative_squared_error: 1.0517, scimark_benchmark: 940.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.001, build_memory: 60805984, f_measure: 0.3012, kb_relative_information_score: 0.225, mean_absolute_error: 0.4146, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.2215, predictive_accuracy: 0.4706, prior_entropy: 1.4782, recall: 0.4706, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4588, root_relative_squared_error: 1.004, scimark_benchmark: 940.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.001, build_memory: 857542432, f_measure: 0.3012, kb_relative_information_score: 0.225, mean_absolute_error: 0.4146, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.2215, predictive_accuracy: 0.4706, prior_entropy: 1.4782, recall: 0.4706, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4588, root_relative_squared_error: 1.004, scimark_benchmark: 940.5101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.002, build_memory: 89138072, f_measure: 0.3012, kb_relative_information_score: 0.225, mean_absolute_error: 0.4146, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.2215, predictive_accuracy: 0.4706, prior_entropy: 1.4782, recall: 0.4706, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4588, root_relative_squared_error: 1.004, scimark_benchmark: 919.6575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.002, build_memory: 883035216, f_measure: 0.3012, kb_relative_information_score: 0.225, mean_absolute_error: 0.4146, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.2215, predictive_accuracy: 0.4706, prior_entropy: 1.4782, recall: 0.4706, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4588, root_relative_squared_error: 1.004, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.012, build_memory: 1409970928, f_measure: 0.3012, kb_relative_information_score: 0.225, mean_absolute_error: 0.4146, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.2215, predictive_accuracy: 0.4706, prior_entropy: 1.4782, recall: 0.4706, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4588, root_relative_squared_error: 1.004, scimark_benchmark: 932.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5941, build_cpu_time: 0.004, build_memory: 320423824, f_measure: 0.4223, kappa: 0.0838, kb_relative_information_score: 3.6991, mean_absolute_error: 0.338, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.3832, predictive_accuracy: 0.4706, prior_entropy: 1.4782, recall: 0.4706, relative_absolute_error: 0.8117, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.5629, root_relative_squared_error: 1.2318, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5941, build_cpu_time: 0.003, build_memory: 1472547056, f_measure: 0.4223, kappa: 0.0838, kb_relative_information_score: 3.6991, mean_absolute_error: 0.338, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.3832, predictive_accuracy: 0.4706, prior_entropy: 1.4782, recall: 0.4706, relative_absolute_error: 0.8117, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.5629, root_relative_squared_error: 1.2318, scimark_benchmark: 925.7673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5941, build_cpu_time: 0.001, build_memory: 513423256, f_measure: 0.4223, kappa: 0.0838, kb_relative_information_score: 3.6991, mean_absolute_error: 0.338, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.3832, predictive_accuracy: 0.4706, prior_entropy: 1.4782, recall: 0.4706, relative_absolute_error: 0.8117, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.5629, root_relative_squared_error: 1.2318, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5941, build_cpu_time: 0.001, build_memory: 111213424, f_measure: 0.4223, kappa: 0.0838, kb_relative_information_score: 3.6991, mean_absolute_error: 0.338, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.3832, predictive_accuracy: 0.4706, prior_entropy: 1.4782, recall: 0.4706, relative_absolute_error: 0.8117, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.5629, root_relative_squared_error: 1.2318, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5941, build_memory: 575214968, f_measure: 0.4223, kappa: 0.0838, kb_relative_information_score: 3.6991, mean_absolute_error: 0.338, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.3832, predictive_accuracy: 0.4706, prior_entropy: 1.4782, recall: 0.4706, relative_absolute_error: 0.8117, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.5629, root_relative_squared_error: 1.2318, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, build_cpu_time: 0.011, build_memory: 1244923776, f_measure: 0.5138, kappa: 0.1905, kb_relative_information_score: 4.9653, mean_absolute_error: 0.3307, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.5743, predictive_accuracy: 0.5294, prior_entropy: 1.4782, recall: 0.5294, relative_absolute_error: 0.7942, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4159, root_relative_squared_error: 0.9102, scimark_benchmark: 939.9709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, build_cpu_time: 0.012, build_memory: 1874360856, f_measure: 0.5138, kappa: 0.1905, kb_relative_information_score: 4.9653, mean_absolute_error: 0.3307, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.5743, predictive_accuracy: 0.5294, prior_entropy: 1.4782, recall: 0.5294, relative_absolute_error: 0.7942, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4159, root_relative_squared_error: 0.9102, scimark_benchmark: 945.5885,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7386, build_cpu_time: 1.952, build_memory: 80224096, f_measure: 0.7087, kappa: 0.5143, kb_relative_information_score: 9.02, mean_absolute_error: 0.2176, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.7255, predictive_accuracy: 0.7059, prior_entropy: 1.4782, recall: 0.7059, relative_absolute_error: 0.5227, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4507, root_relative_squared_error: 0.9864, scimark_benchmark: 910.2202,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7119, build_cpu_time: 0.002, build_memory: 135063520, f_measure: 0.6497, kappa: 0.4365, kb_relative_information_score: 6.2609, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.6748, predictive_accuracy: 0.6471, prior_entropy: 1.4782, recall: 0.6471, relative_absolute_error: 0.6928, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4492, root_relative_squared_error: 0.983, scimark_benchmark: 931.9838,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5782, build_cpu_time: 0.021, build_memory: 781640152, f_measure: 0.5276, kappa: 0.2316, kb_relative_information_score: 4.8484, mean_absolute_error: 0.3181, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.5336, predictive_accuracy: 0.5294, prior_entropy: 1.4782, recall: 0.5294, relative_absolute_error: 0.7638, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.5474, root_relative_squared_error: 1.198, scimark_benchmark: 947.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6012, build_cpu_time: 0.001, build_memory: 156371792, f_measure: 0.5588, kappa: 0.2831, kb_relative_information_score: 6.3159, mean_absolute_error: 0.2746, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.6275, predictive_accuracy: 0.5882, prior_entropy: 1.4782, recall: 0.5882, relative_absolute_error: 0.6595, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.5216, root_relative_squared_error: 1.1415, scimark_benchmark: 908.7121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7826, build_cpu_time: 0.004, build_memory: 564925496, f_measure: 0.7118, kappa: 0.543, kb_relative_information_score: 6.6904, mean_absolute_error: 0.2942, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.7471, predictive_accuracy: 0.7059, prior_entropy: 1.4782, recall: 0.7059, relative_absolute_error: 0.7066, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.8588, scimark_benchmark: 930.1524,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6012, build_memory: 975616920, f_measure: 0.5588, kappa: 0.2831, kb_relative_information_score: 6.3159, mean_absolute_error: 0.2746, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.6275, predictive_accuracy: 0.5882, prior_entropy: 1.4782, recall: 0.5882, relative_absolute_error: 0.6595, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.5216, root_relative_squared_error: 1.1415, scimark_benchmark: 943.2554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5938, build_cpu_time: 0.099, build_memory: 1443673008, f_measure: 0.3157, kappa: -0.1198, kb_relative_information_score: 3.199, mean_absolute_error: 0.3752, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.2857, predictive_accuracy: 0.3529, prior_entropy: 1.4782, recall: 0.3529, relative_absolute_error: 0.901, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4579, root_relative_squared_error: 1.002, scimark_benchmark: 943.4668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5976, build_cpu_time: 0.19, build_memory: 245106560, f_measure: 0.4085, kb_relative_information_score: 3.3289, mean_absolute_error: 0.3732, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.4706, predictive_accuracy: 0.4118, prior_entropy: 1.4782, recall: 0.4118, relative_absolute_error: 0.8963, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4566, root_relative_squared_error: 0.9993, scimark_benchmark: 894.2099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6238, build_cpu_time: 0.565, build_memory: 232117704, f_measure: 0.4001, kappa: -0.0119, kb_relative_information_score: 3.4762, mean_absolute_error: 0.369, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.461, predictive_accuracy: 0.4118, prior_entropy: 1.4782, recall: 0.4118, relative_absolute_error: 0.8861, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4499, root_relative_squared_error: 0.9845, scimark_benchmark: 895.5844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6291, build_cpu_time: 0.803, build_memory: 145010160, f_measure: 0.4001, kappa: -0.0119, kb_relative_information_score: 3.4479, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.461, predictive_accuracy: 0.4118, prior_entropy: 1.4782, recall: 0.4118, relative_absolute_error: 0.8876, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4532, root_relative_squared_error: 0.9918, scimark_benchmark: 937.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5673, build_cpu_time: 0.033, build_memory: 289197872, f_measure: 0.3782, kappa: 0.0449, kb_relative_information_score: 0.718, mean_absolute_error: 0.4217, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.3765, predictive_accuracy: 0.4118, prior_entropy: 1.4782, recall: 0.4118, relative_absolute_error: 1.0127, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.5117, root_relative_squared_error: 1.1198, scimark_benchmark: 944.9156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5771, build_cpu_time: 0.017, build_memory: 1092217688, f_measure: 0.3782, kappa: 0.0449, kb_relative_information_score: 0.9459, mean_absolute_error: 0.4162, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.3765, predictive_accuracy: 0.4118, prior_entropy: 1.4782, recall: 0.4118, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.5138, root_relative_squared_error: 1.1245, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6371, build_cpu_time: 0.002, build_memory: 1172122416, f_measure: 0.4223, kappa: 0.0838, kb_relative_information_score: 3.0832, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.3832, predictive_accuracy: 0.4706, prior_entropy: 1.4782, recall: 0.4706, relative_absolute_error: 0.889, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4632, root_relative_squared_error: 1.0137, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6986, build_cpu_time: 0.01, build_memory: 605620256, f_measure: 0.4223, kappa: 0.0838, kb_relative_information_score: 3.5359, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.4164, number_of_instances: 17, precision: 0.3832, predictive_accuracy: 0.4706, prior_entropy: 1.4782, recall: 0.4706, relative_absolute_error: 0.8658, root_mean_prior_squared_error: 0.4569, root_mean_squared_error: 0.4414, root_relative_squared_error: 0.966, scimark_benchmark: 943.4766,

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