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Severity: Warning

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Backtrace:

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Line: 37
Function: fopen

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

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

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

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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
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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

OpenML
OpenML
Supervised Classification on SPECTF

Supervised Classification on SPECTF

Task 3057 Supervised Classification SPECTF 363 runs submitted
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363 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7448, f_measure: 0.7164, kappa: 0.3588, kb_relative_information_score: 20.8078, mean_absolute_error: 0.3034, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.7486, predictive_accuracy: 0.7043, prior_entropy: 0.8464, recall: 0.7043, relative_absolute_error: 0.752, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.4557, root_relative_squared_error: 1.007, scimark_benchmark: 940.3347, usercpu_time_millis: 130, usercpu_time_millis_testing: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.8528, kappa: 0.642, kb_relative_information_score: 70.7534, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8536, predictive_accuracy: 0.8522, prior_entropy: 0.8464, recall: 0.8522, relative_absolute_error: 0.3664, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.8496, scimark_benchmark: 1318.1432, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5936, kb_relative_information_score: 26.6853, mean_absolute_error: 0.287, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.5084, predictive_accuracy: 0.713, prior_entropy: 0.8464, recall: 0.713, relative_absolute_error: 0.7112, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.5357, root_relative_squared_error: 1.1837, scimark_benchmark: 885.0921, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.736, f_measure: 0.7893, kappa: 0.4806, kb_relative_information_score: 51.4736, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.7878, predictive_accuracy: 0.7913, prior_entropy: 0.8464, recall: 0.7913, relative_absolute_error: 0.5172, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.4568, root_relative_squared_error: 1.0095, scimark_benchmark: 1369.9744, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, f_measure: 0.7863, kappa: 0.4572, kb_relative_information_score: 36.2564, mean_absolute_error: 0.2829, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.7914, predictive_accuracy: 0.8, prior_entropy: 0.8464, recall: 0.8, relative_absolute_error: 0.7011, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3583, root_relative_squared_error: 0.7916, scimark_benchmark: 942.9518, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6513, f_measure: 0.7478, kappa: 0.3539, kb_relative_information_score: 45.9651, mean_absolute_error: 0.2261, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.7628, predictive_accuracy: 0.7739, prior_entropy: 0.8464, recall: 0.7739, relative_absolute_error: 0.5603, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.4755, root_relative_squared_error: 1.0507, scimark_benchmark: 1304.9611, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.8802, kappa: 0.7129, kb_relative_information_score: 65.0766, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8845, predictive_accuracy: 0.8783, prior_entropy: 0.8464, recall: 0.8783, relative_absolute_error: 0.4536, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.6956, scimark_benchmark: 916.9356, usercpu_time_millis: 2130, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 2070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.8141, kappa: 0.5641, kb_relative_information_score: 59.1258, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8276, predictive_accuracy: 0.8087, prior_entropy: 0.8464, recall: 0.8087, relative_absolute_error: 0.4548, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8882, scimark_benchmark: 1363.434, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7356, f_measure: 0.7543, kappa: 0.4205, kb_relative_information_score: 29.9228, mean_absolute_error: 0.2867, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.7663, predictive_accuracy: 0.7478, prior_entropy: 0.8464, recall: 0.7478, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.4845, root_relative_squared_error: 1.0707, scimark_benchmark: 1315.3881, usercpu_time_millis: 2100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.8884, kappa: 0.7311, kb_relative_information_score: 58.7722, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8911, predictive_accuracy: 0.887, prior_entropy: 0.8464, recall: 0.887, relative_absolute_error: 0.5207, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.6529, scimark_benchmark: 1327.8711, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8387, f_measure: 0.817, kappa: 0.5917, kb_relative_information_score: 56.9821, mean_absolute_error: 0.1913, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8563, predictive_accuracy: 0.8087, prior_entropy: 0.8464, recall: 0.8087, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.9665, scimark_benchmark: 1316.0472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7886, f_measure: 0.7586, kappa: 0.4156, kb_relative_information_score: 35.9821, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.7611, predictive_accuracy: 0.7565, prior_entropy: 0.8464, recall: 0.7565, relative_absolute_error: 0.6559, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.9561, scimark_benchmark: 1319.6463, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, f_measure: 0.8009, kappa: 0.5157, kb_relative_information_score: 54.0725, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8019, predictive_accuracy: 0.8, prior_entropy: 0.8464, recall: 0.8, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.4206, root_relative_squared_error: 0.9294, scimark_benchmark: 1290.1085, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.9102, kappa: 0.7753, kb_relative_information_score: 90.0333, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.9139, predictive_accuracy: 0.913, prior_entropy: 0.8464, recall: 0.913, relative_absolute_error: 0.2155, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.2949, root_relative_squared_error: 0.6516, scimark_benchmark: 1327.8711, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.558, f_measure: 0.3162, kappa: 0.0714, kb_relative_information_score: -77.9766, mean_absolute_error: 0.6174, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.7482, predictive_accuracy: 0.3826, prior_entropy: 0.8464, recall: 0.3826, relative_absolute_error: 1.5301, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.7857, root_relative_squared_error: 1.7363, scimark_benchmark: 1466.6185, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, f_measure: 0.8712, kappa: 0.6897, kb_relative_information_score: 74.6137, mean_absolute_error: 0.1387, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8741, predictive_accuracy: 0.8696, prior_entropy: 0.8464, recall: 0.8696, relative_absolute_error: 0.3438, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3536, root_relative_squared_error: 0.7813, scimark_benchmark: 1351.788, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6181, f_measure: 0.7238, kappa: 0.2916, kb_relative_information_score: 43.2108, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.7621, predictive_accuracy: 0.7652, prior_entropy: 0.8464, recall: 0.7652, relative_absolute_error: 0.5819, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.4845, root_relative_squared_error: 1.0707, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7687, f_measure: 0.735, kappa: 0.4414, kb_relative_information_score: 29.4395, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8099, predictive_accuracy: 0.7217, prior_entropy: 0.8464, recall: 0.7217, relative_absolute_error: 0.6896, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.5275, root_relative_squared_error: 1.1657, scimark_benchmark: 1380.2233, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5936, kb_relative_information_score: 0.7502, mean_absolute_error: 0.4007, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.5084, predictive_accuracy: 0.713, prior_entropy: 0.8464, recall: 0.713, relative_absolute_error: 0.9931, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.4528, root_relative_squared_error: 1.0005, scimark_benchmark: 1503.3362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, f_measure: 0.8621, kappa: 0.6661, kb_relative_information_score: 72.0997, mean_absolute_error: 0.146, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8638, predictive_accuracy: 0.8609, prior_entropy: 0.8464, recall: 0.8609, relative_absolute_error: 0.362, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.8117, scimark_benchmark: 1466.6185, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8718, f_measure: 0.834, kappa: 0.5926, kb_relative_information_score: 59.2254, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8334, predictive_accuracy: 0.8348, prior_entropy: 0.8464, recall: 0.8348, relative_absolute_error: 0.4802, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3798, root_relative_squared_error: 0.8393, scimark_benchmark: 942.4414, usercpu_time_millis: 520, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8718, build_cpu_time: 0.283, build_memory: 1459701704, f_measure: 0.834, kappa: 0.5926, kb_relative_information_score: 59.2254, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8334, predictive_accuracy: 0.8348, prior_entropy: 0.8464, recall: 0.8348, relative_absolute_error: 0.4802, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3798, root_relative_squared_error: 0.8393, scimark_benchmark: 936.5273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8718, build_cpu_time: 0.281, build_memory: 760274264, f_measure: 0.834, kappa: 0.5926, kb_relative_information_score: 59.2254, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8334, predictive_accuracy: 0.8348, prior_entropy: 0.8464, recall: 0.8348, relative_absolute_error: 0.4802, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3798, root_relative_squared_error: 0.8393, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8803, build_cpu_time: 0.175, build_memory: 1510765976, f_measure: 0.8528, kappa: 0.642, kb_relative_information_score: 57.8839, mean_absolute_error: 0.1955, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8536, predictive_accuracy: 0.8522, prior_entropy: 0.8464, recall: 0.8522, relative_absolute_error: 0.4846, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.8274, scimark_benchmark: 925.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, build_cpu_time: 0.114, build_memory: 711887416, f_measure: 0.8048, kappa: 0.515, kb_relative_information_score: 52.2863, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8032, predictive_accuracy: 0.8087, prior_entropy: 0.8464, recall: 0.8087, relative_absolute_error: 0.5245, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.8414, scimark_benchmark: 918.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8877, build_cpu_time: 0.089, build_memory: 44870968, f_measure: 0.8729, kappa: 0.7003, kb_relative_information_score: 72.0951, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8831, predictive_accuracy: 0.8696, prior_entropy: 0.8464, recall: 0.8696, relative_absolute_error: 0.3662, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.7724, scimark_benchmark: 925.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9159, build_cpu_time: 0.169, build_memory: 497405528, f_measure: 0.831, kappa: 0.6037, kb_relative_information_score: 63.9519, mean_absolute_error: 0.1679, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8442, predictive_accuracy: 0.8261, prior_entropy: 0.8464, recall: 0.8261, relative_absolute_error: 0.4161, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.391, root_relative_squared_error: 0.864, scimark_benchmark: 918.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, build_cpu_time: 0.151, build_memory: 942824632, f_measure: 0.8551, kappa: 0.6544, kb_relative_information_score: 68.0837, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8614, predictive_accuracy: 0.8522, prior_entropy: 0.8464, recall: 0.8522, relative_absolute_error: 0.3934, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3824, root_relative_squared_error: 0.8451, scimark_benchmark: 938.8409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, build_cpu_time: 0.239, build_memory: 553378944, f_measure: 0.8551, kappa: 0.6544, kb_relative_information_score: 68.0837, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8614, predictive_accuracy: 0.8522, prior_entropy: 0.8464, recall: 0.8522, relative_absolute_error: 0.3934, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3824, root_relative_squared_error: 0.8451, scimark_benchmark: 941.8181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, build_cpu_time: 0.149, build_memory: 128270112, f_measure: 0.8551, kappa: 0.6544, kb_relative_information_score: 68.0837, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8614, predictive_accuracy: 0.8522, prior_entropy: 0.8464, recall: 0.8522, relative_absolute_error: 0.3934, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3824, root_relative_squared_error: 0.8451, scimark_benchmark: 940.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, build_cpu_time: 0.007, build_memory: 373090616, f_measure: 0.831, kappa: 0.6037, kb_relative_information_score: 62.4907, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8442, predictive_accuracy: 0.8261, prior_entropy: 0.8464, recall: 0.8261, relative_absolute_error: 0.431, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.417, root_relative_squared_error: 0.9215, scimark_benchmark: 939.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, build_cpu_time: 0.005, build_memory: 1402236696, f_measure: 0.831, kappa: 0.6037, kb_relative_information_score: 62.4907, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8442, predictive_accuracy: 0.8261, prior_entropy: 0.8464, recall: 0.8261, relative_absolute_error: 0.431, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.417, root_relative_squared_error: 0.9215, scimark_benchmark: 925.7673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, build_cpu_time: 0.003, build_memory: 462808472, f_measure: 0.831, kappa: 0.6037, kb_relative_information_score: 62.4907, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8442, predictive_accuracy: 0.8261, prior_entropy: 0.8464, recall: 0.8261, relative_absolute_error: 0.431, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.417, root_relative_squared_error: 0.9215, scimark_benchmark: 935.6292,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7905, build_cpu_time: 0.026, build_memory: 1046043144, f_measure: 0.8078, kappa: 0.5627, kb_relative_information_score: 53.7466, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.836, predictive_accuracy: 0.8, prior_entropy: 0.8464, recall: 0.8, relative_absolute_error: 0.5017, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.9848, scimark_benchmark: 945.5885,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, build_cpu_time: 0.628, build_memory: 7254000, f_measure: 0.8802, kappa: 0.7129, kb_relative_information_score: 73.1751, mean_absolute_error: 0.1479, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8845, predictive_accuracy: 0.8783, prior_entropy: 0.8464, recall: 0.8783, relative_absolute_error: 0.3667, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3444, root_relative_squared_error: 0.7611, scimark_benchmark: 934.8107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, build_cpu_time: 2.936, build_memory: 776072960, f_measure: 0.8621, kappa: 0.6661, kb_relative_information_score: 73.5072, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8638, predictive_accuracy: 0.8609, prior_entropy: 0.8464, recall: 0.8609, relative_absolute_error: 0.3448, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.373, root_relative_squared_error: 0.8242, scimark_benchmark: 883.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, build_cpu_time: 1.407, build_memory: 3019299272, f_measure: 0.854, kappa: 0.6483, kb_relative_information_score: 70.3783, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8571, predictive_accuracy: 0.8522, prior_entropy: 0.8464, recall: 0.8522, relative_absolute_error: 0.3708, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.384, root_relative_squared_error: 0.8486, scimark_benchmark: 949.8157,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5366, build_cpu_time: 0.044, build_memory: 739764864, f_measure: 0.2306, kappa: 0.0433, kb_relative_information_score: -91.7479, mean_absolute_error: 0.6609, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.7999, predictive_accuracy: 0.3391, prior_entropy: 0.8464, recall: 0.3391, relative_absolute_error: 1.6379, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.8129, root_relative_squared_error: 1.7964, scimark_benchmark: 913.4921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, build_cpu_time: 0.662, build_memory: 692643208, f_measure: 0.8621, kappa: 0.6661, kb_relative_information_score: 72.2402, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8638, predictive_accuracy: 0.8609, prior_entropy: 0.8464, recall: 0.8609, relative_absolute_error: 0.3556, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.8136, scimark_benchmark: 933.1799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, build_cpu_time: 0.072, build_memory: 770138960, f_measure: 0.8884, kappa: 0.7311, kb_relative_information_score: 58.7722, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8911, predictive_accuracy: 0.887, prior_entropy: 0.8464, recall: 0.887, relative_absolute_error: 0.5207, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.6529, scimark_benchmark: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7905, build_memory: 812177776, f_measure: 0.8078, kappa: 0.5627, kb_relative_information_score: 53.7466, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.836, predictive_accuracy: 0.8, prior_entropy: 0.8464, recall: 0.8, relative_absolute_error: 0.5017, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.9848, scimark_benchmark: 906.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.022, build_memory: 1011595928, f_measure: 0.5936, kb_relative_information_score: 26.6853, mean_absolute_error: 0.287, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.5084, predictive_accuracy: 0.713, prior_entropy: 0.8464, recall: 0.713, relative_absolute_error: 0.7112, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.5357, root_relative_squared_error: 1.1837, scimark_benchmark: 941.9254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.736, build_cpu_time: 0.006, build_memory: 1338270456, f_measure: 0.7893, kappa: 0.4806, kb_relative_information_score: 51.4736, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.7878, predictive_accuracy: 0.7913, prior_entropy: 0.8464, recall: 0.7913, relative_absolute_error: 0.5172, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.4568, root_relative_squared_error: 1.0095, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8054, build_cpu_time: 0.078, build_memory: 321980904, f_measure: 0.8071, kappa: 0.5555, kb_relative_information_score: 54.2279, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8289, predictive_accuracy: 0.8, prior_entropy: 0.8464, recall: 0.8, relative_absolute_error: 0.4957, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.9882, scimark_benchmark: 931.9838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, build_cpu_time: 0.023, build_memory: 748890496, f_measure: 0.8631, kappa: 0.6719, kb_relative_information_score: 70.5454, mean_absolute_error: 0.1516, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8676, predictive_accuracy: 0.8609, prior_entropy: 0.8464, recall: 0.8609, relative_absolute_error: 0.3757, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3281, root_relative_squared_error: 0.725, scimark_benchmark: 947.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, build_cpu_time: 0.003, build_memory: 774259200, f_measure: 0.7847, kappa: 0.5393, kb_relative_information_score: 44.1727, mean_absolute_error: 0.2336, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.851, predictive_accuracy: 0.7739, prior_entropy: 0.8464, recall: 0.7739, relative_absolute_error: 0.5791, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.4762, root_relative_squared_error: 1.0523, scimark_benchmark: 942.4411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, build_cpu_time: 0.044, build_memory: 1010711752, f_measure: 0.8323, kappa: 0.585, kb_relative_information_score: 44.7272, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8312, predictive_accuracy: 0.8348, prior_entropy: 0.8464, recall: 0.8348, relative_absolute_error: 0.6279, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3409, root_relative_squared_error: 0.7533, scimark_benchmark: 945.1122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, build_cpu_time: 0.049, build_memory: 1346094080, f_measure: 0.8323, kappa: 0.585, kb_relative_information_score: 44.7272, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8312, predictive_accuracy: 0.8348, prior_entropy: 0.8464, recall: 0.8348, relative_absolute_error: 0.6279, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3409, root_relative_squared_error: 0.7533, scimark_benchmark: 933.4176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8642, build_cpu_time: 0.034, build_memory: 644782312, f_measure: 0.77, kappa: 0.4097, kb_relative_information_score: 39.7691, mean_absolute_error: 0.2595, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8108, predictive_accuracy: 0.8, prior_entropy: 0.8464, recall: 0.8, relative_absolute_error: 0.6432, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.781, scimark_benchmark: 945.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8642, build_cpu_time: 0.037, build_memory: 81432640, f_measure: 0.77, kappa: 0.4097, kb_relative_information_score: 39.7691, mean_absolute_error: 0.2595, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.8108, predictive_accuracy: 0.8, prior_entropy: 0.8464, recall: 0.8, relative_absolute_error: 0.6432, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.781, scimark_benchmark: 933.4176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6181, build_cpu_time: 0.002, build_memory: 386142992, f_measure: 0.7238, kappa: 0.2916, kb_relative_information_score: 43.2108, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.7621, predictive_accuracy: 0.7652, prior_entropy: 0.8464, recall: 0.7652, relative_absolute_error: 0.5819, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.4845, root_relative_squared_error: 1.0707, scimark_benchmark: 929.8725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.001, build_memory: 342212784, f_measure: 0.5936, kb_relative_information_score: 0.7502, mean_absolute_error: 0.4007, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.5084, predictive_accuracy: 0.713, prior_entropy: 0.8464, recall: 0.713, relative_absolute_error: 0.9931, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.4528, root_relative_squared_error: 1.0005, scimark_benchmark: 949.9767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_memory: 925952200, f_measure: 0.5936, kb_relative_information_score: 0.7502, mean_absolute_error: 0.4007, mean_prior_absolute_error: 0.4035, number_of_instances: 115, precision: 0.5084, predictive_accuracy: 0.713, prior_entropy: 0.8464, recall: 0.713, relative_absolute_error: 0.9931, root_mean_prior_squared_error: 0.4525, root_mean_squared_error: 0.4528, root_relative_squared_error: 1.0005, scimark_benchmark: 922.5645,

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