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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

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Filename: models/Log.php

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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: 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 page-blocks

Supervised Classification on page-blocks

Task 3884 Supervised Classification page-blocks 576 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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576 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.9627, kappa: 0.7903, kb_relative_information_score: 3665.3261, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9626, predictive_accuracy: 0.964, prior_entropy: 0.4768, recall: 0.964, relative_absolute_error: 0.2443, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.5721, scimark_benchmark: 940.3347, usercpu_time_millis: 3270, usercpu_time_millis_testing: 3270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, f_measure: 0.939, kappa: 0.6457, kb_relative_information_score: 3229.244, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9392, predictive_accuracy: 0.9434, prior_entropy: 0.4768, recall: 0.9434, relative_absolute_error: 0.3081, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.238, root_relative_squared_error: 0.7853, scimark_benchmark: 940.3347, usercpu_time_millis: 300, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5018, f_measure: 0.8502, kappa: 0.0064, kb_relative_information_score: 1438.416, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9084, predictive_accuracy: 0.898, prior_entropy: 0.4768, recall: 0.898, relative_absolute_error: 0.5547, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3193, root_relative_squared_error: 1.0536, scimark_benchmark: 1034.1273, usercpu_time_millis: 22450, usercpu_time_millis_testing: 1230, usercpu_time_millis_training: 21220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7098, f_measure: 0.927, kappa: 0.553, kb_relative_information_score: 3005.3905, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9372, predictive_accuracy: 0.9377, prior_entropy: 0.4768, recall: 0.9377, relative_absolute_error: 0.339, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.8236, scimark_benchmark: 1287.514, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.9454, kappa: 0.6834, kb_relative_information_score: 2537.0159, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9462, predictive_accuracy: 0.9492, prior_entropy: 0.4768, recall: 0.9492, relative_absolute_error: 0.4666, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.669, scimark_benchmark: 935.5075, usercpu_time_millis: 1340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8363, f_measure: 0.9265, kappa: 0.6174, kb_relative_information_score: 2442.1462, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9309, predictive_accuracy: 0.9234, prior_entropy: 0.4768, recall: 0.9234, relative_absolute_error: 0.4165, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2767, root_relative_squared_error: 0.913, scimark_benchmark: 942.9518, usercpu_time_millis: 660, usercpu_time_millis_training: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9601, kappa: 0.7726, kb_relative_information_score: 3431.0931, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9605, predictive_accuracy: 0.962, prior_entropy: 0.4768, recall: 0.962, relative_absolute_error: 0.3262, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.5562, scimark_benchmark: 860.584, usercpu_time_millis: 521210, usercpu_time_millis_testing: 4080, usercpu_time_millis_training: 517130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5887, f_measure: 0.8868, kappa: 0.2733, kb_relative_information_score: 2044.9867, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9099, predictive_accuracy: 0.9134, prior_entropy: 0.4768, recall: 0.9134, relative_absolute_error: 0.4712, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.971, scimark_benchmark: 1304.6687, usercpu_time_millis: 87310, usercpu_time_millis_testing: 17470, usercpu_time_millis_training: 69840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9772, kappa: 0.8755, kb_relative_information_score: 4153.4887, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9772, predictive_accuracy: 0.9773, prior_entropy: 0.4768, recall: 0.9773, relative_absolute_error: 0.1978, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.133, root_relative_squared_error: 0.4388, scimark_benchmark: 1066.7184, usercpu_time_millis: 1930, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 1750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.9678, kappa: 0.8249, kb_relative_information_score: 4177.6953, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9678, predictive_accuracy: 0.9678, prior_entropy: 0.4768, recall: 0.9678, relative_absolute_error: 0.1782, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.5912, scimark_benchmark: 1315.0767, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.9684, kappa: 0.8276, kb_relative_information_score: 3941.8171, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9683, predictive_accuracy: 0.9686, prior_entropy: 0.4768, recall: 0.9686, relative_absolute_error: 0.2371, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.5402, scimark_benchmark: 1318.5526, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.9715, kappa: 0.8435, kb_relative_information_score: 3994.7415, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9713, predictive_accuracy: 0.9717, prior_entropy: 0.4768, recall: 0.9717, relative_absolute_error: 0.2261, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.5237, scimark_benchmark: 1287.514, usercpu_time_millis: 750, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.9659, kappa: 0.8116, kb_relative_information_score: 4139.1001, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9656, predictive_accuracy: 0.9664, prior_entropy: 0.4768, recall: 0.9664, relative_absolute_error: 0.1829, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.605, scimark_benchmark: 825.5282, usercpu_time_millis: 1220, usercpu_time_millis_testing: 660, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6052, f_measure: 0.7324, kappa: 0.1045, kb_relative_information_score: -7616.819, mean_absolute_error: 0.3311, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.8483, predictive_accuracy: 0.6689, prior_entropy: 0.4768, recall: 0.6689, relative_absolute_error: 1.8011, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.5754, root_relative_squared_error: 1.8986, scimark_benchmark: 1337.7959, usercpu_time_millis: 2300, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 2120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9719, kappa: 0.8467, kb_relative_information_score: 4085.1646, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9719, predictive_accuracy: 0.972, prior_entropy: 0.4768, recall: 0.972, relative_absolute_error: 0.1995, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1495, root_relative_squared_error: 0.4933, scimark_benchmark: 1392.1129, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.817, f_measure: 0.9447, kappa: 0.6873, kb_relative_information_score: 3373.6656, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.944, predictive_accuracy: 0.947, prior_entropy: 0.4768, recall: 0.947, relative_absolute_error: 0.2883, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2302, root_relative_squared_error: 0.7595, scimark_benchmark: 1351.788, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.9695, kappa: 0.8355, kb_relative_information_score: 4254.6374, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9698, predictive_accuracy: 0.9693, prior_entropy: 0.4768, recall: 0.9693, relative_absolute_error: 0.167, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.5781, scimark_benchmark: 1353.5686, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.8493, kb_relative_information_score: -2.0896, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.8058, predictive_accuracy: 0.8977, prior_entropy: 0.4768, recall: 0.8977, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.3031, root_relative_squared_error: 1, scimark_benchmark: 1380.2233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.9728, kappa: 0.8514, kb_relative_information_score: 4236.98, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9727, predictive_accuracy: 0.973, prior_entropy: 0.4768, recall: 0.973, relative_absolute_error: 0.1918, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.5104, scimark_benchmark: 1384.4418, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.9044, kappa: 0.4639, kb_relative_information_score: 1948.4689, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9021, predictive_accuracy: 0.9074, prior_entropy: 0.4768, recall: 0.9074, relative_absolute_error: 0.4787, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.284, root_relative_squared_error: 0.937, scimark_benchmark: 927.0753, usercpu_time_millis: 590, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.9369, kappa: 0.6375, kb_relative_information_score: 2164.687, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9362, predictive_accuracy: 0.9406, prior_entropy: 0.4768, recall: 0.9406, relative_absolute_error: 0.482, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.7626, scimark_benchmark: 945.7621, usercpu_time_millis: 260, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.9369, kappa: 0.6375, kb_relative_information_score: 2164.687, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9362, predictive_accuracy: 0.9406, prior_entropy: 0.4768, recall: 0.9406, relative_absolute_error: 0.482, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.7626, scimark_benchmark: 942.3168, usercpu_time_millis: 200, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.9369, kappa: 0.6375, kb_relative_information_score: 2164.687, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9362, predictive_accuracy: 0.9406, prior_entropy: 0.4768, recall: 0.9406, relative_absolute_error: 0.482, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.7626, scimark_benchmark: 934.5243, usercpu_time_millis: 230, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9504, kappa: 0.7175, kb_relative_information_score: 3638.8032, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9503, predictive_accuracy: 0.9529, prior_entropy: 0.4768, recall: 0.9529, relative_absolute_error: 0.2579, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.6707, scimark_benchmark: 936.6206, usercpu_time_millis: 2620, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.948, kappa: 0.7018, kb_relative_information_score: 3467.8126, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9482, predictive_accuracy: 0.951, prior_entropy: 0.4768, recall: 0.951, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.6991, scimark_benchmark: 926.6717, usercpu_time_millis: 1270, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.9361, kappa: 0.6241, kb_relative_information_score: 3112.1541, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9375, predictive_accuracy: 0.9417, prior_entropy: 0.4768, recall: 0.9417, relative_absolute_error: 0.328, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.7625, scimark_benchmark: 934.5243, usercpu_time_millis: 670, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.9291, kappa: 0.5734, kb_relative_information_score: 2935.2736, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.934, predictive_accuracy: 0.9377, prior_entropy: 0.4768, recall: 0.9377, relative_absolute_error: 0.3513, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.7935, scimark_benchmark: 936.6206, usercpu_time_millis: 330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.9214, kappa: 0.5216, kb_relative_information_score: 2546.1508, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9276, predictive_accuracy: 0.9322, prior_entropy: 0.4768, recall: 0.9322, relative_absolute_error: 0.4013, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2544, root_relative_squared_error: 0.8395, scimark_benchmark: 938.4285, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9719, kappa: 0.846, kb_relative_information_score: 3960.1499, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9717, predictive_accuracy: 0.972, prior_entropy: 0.4768, recall: 0.972, relative_absolute_error: 0.226, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.5027, scimark_benchmark: 936.6206, usercpu_time_millis: 1960, usercpu_time_millis_training: 1960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.969, kappa: 0.8299, kb_relative_information_score: 3894.9069, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9688, predictive_accuracy: 0.9693, prior_entropy: 0.4768, recall: 0.9693, relative_absolute_error: 0.2377, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1543, root_relative_squared_error: 0.5091, scimark_benchmark: 924.6116, usercpu_time_millis: 1110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9693, kappa: 0.8312, kb_relative_information_score: 3788.7215, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9691, predictive_accuracy: 0.9697, prior_entropy: 0.4768, recall: 0.9697, relative_absolute_error: 0.255, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.5172, scimark_benchmark: 924.6116, usercpu_time_millis: 540, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 530,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9583, kappa: 0.7688, kb_relative_information_score: 3254.9407, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9578, predictive_accuracy: 0.9591, prior_entropy: 0.4768, recall: 0.9591, relative_absolute_error: 0.3443, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.177, root_relative_squared_error: 0.5841, scimark_benchmark: 929.566, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, build_cpu_time: 2.0859, build_memory: 799617259.4628, f_measure: 0.9475, kappa: 0.7027, kb_relative_information_score: 3434.4501, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9469, predictive_accuracy: 0.9498, prior_entropy: 0.4768, recall: 0.9498, relative_absolute_error: 0.2795, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.7086, scimark_benchmark: 927.3354,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, build_cpu_time: 0.6152, build_memory: 912399232.4283, f_measure: 0.9447, kappa: 0.6852, kb_relative_information_score: 3349.8598, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9441, predictive_accuracy: 0.9474, prior_entropy: 0.4768, recall: 0.9474, relative_absolute_error: 0.2941, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.7186, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, build_cpu_time: 0.3309, build_memory: 1236808054.2313, f_measure: 0.9431, kappa: 0.675, kb_relative_information_score: 3338.0588, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9426, predictive_accuracy: 0.9461, prior_entropy: 0.4768, recall: 0.9461, relative_absolute_error: 0.2958, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.7083, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, build_cpu_time: 0.1553, build_memory: 763272194.0157, f_measure: 0.9482, kappa: 0.706, kb_relative_information_score: 3351.0644, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9477, predictive_accuracy: 0.9505, prior_entropy: 0.4768, recall: 0.9505, relative_absolute_error: 0.2991, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.685, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, build_cpu_time: 0.1768, build_memory: 837521419.8297, f_measure: 0.9369, kappa: 0.6375, kb_relative_information_score: 2164.687, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9362, predictive_accuracy: 0.9406, prior_entropy: 0.4768, recall: 0.9406, relative_absolute_error: 0.482, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.7626, scimark_benchmark: 929.5397,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, build_cpu_time: 0.2827, build_memory: 216658277.6028, f_measure: 0.9369, kappa: 0.6375, kb_relative_information_score: 2164.687, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9362, predictive_accuracy: 0.9406, prior_entropy: 0.4768, recall: 0.9406, relative_absolute_error: 0.482, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.7626, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, build_cpu_time: 1401.2489, build_memory: 945612031.1376, f_measure: 0.9557, kappa: 0.7547, kb_relative_information_score: 3403.9922, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9552, predictive_accuracy: 0.9565, prior_entropy: 0.4768, recall: 0.9565, relative_absolute_error: 0.3017, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1829, root_relative_squared_error: 0.6034, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, build_cpu_time: 2740.7558, build_memory: 56984651.1266, f_measure: 0.9614, kappa: 0.7885, kb_relative_information_score: 3658.1449, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9612, predictive_accuracy: 0.9616, prior_entropy: 0.4768, recall: 0.9616, relative_absolute_error: 0.26, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.5572, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, build_cpu_time: 5351.3875, build_memory: 1044240887.772, f_measure: 0.9704, kappa: 0.8373, kb_relative_information_score: 4024.1841, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9702, predictive_accuracy: 0.9708, prior_entropy: 0.4768, recall: 0.9708, relative_absolute_error: 0.2101, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1515, root_relative_squared_error: 0.4999, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, build_cpu_time: 11489.9428, build_memory: 709945943.2969, f_measure: 0.9745, kappa: 0.8594, kb_relative_information_score: 4285.2609, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9743, predictive_accuracy: 0.9748, prior_entropy: 0.4768, recall: 0.9748, relative_absolute_error: 0.1743, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.4661, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, build_cpu_time: 23068.0364, build_memory: 875492556.7433, f_measure: 0.9758, kappa: 0.8683, kb_relative_information_score: 4421.6993, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9758, predictive_accuracy: 0.9759, prior_entropy: 0.4768, recall: 0.9759, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1399, root_relative_squared_error: 0.4617, scimark_benchmark: 940.3132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, build_cpu_time: 111.2757, build_memory: 116045686.4783, f_measure: 0.9758, kappa: 0.8677, kb_relative_information_score: 4466.2857, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9757, predictive_accuracy: 0.9759, prior_entropy: 0.4768, recall: 0.9759, relative_absolute_error: 0.1398, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.151, root_relative_squared_error: 0.4983, scimark_benchmark: 935.1241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, build_cpu_time: 114.3242, build_memory: 197106721.0861, f_measure: 0.9758, kappa: 0.8677, kb_relative_information_score: 4465.7969, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9757, predictive_accuracy: 0.9759, prior_entropy: 0.4768, recall: 0.9759, relative_absolute_error: 0.1398, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1511, root_relative_squared_error: 0.4984, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, build_cpu_time: 80.657, build_memory: 101075152.4604, f_measure: 0.9752, kappa: 0.8645, kb_relative_information_score: 4456.7748, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9751, predictive_accuracy: 0.9753, prior_entropy: 0.4768, recall: 0.9753, relative_absolute_error: 0.1409, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1515, root_relative_squared_error: 0.4998, scimark_benchmark: 941.4456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, build_cpu_time: 48.5657, build_memory: 434693200.3011, f_measure: 0.9747, kappa: 0.8614, kb_relative_information_score: 4426.0148, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9746, predictive_accuracy: 0.9748, prior_entropy: 0.4768, recall: 0.9748, relative_absolute_error: 0.1446, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1528, root_relative_squared_error: 0.5043, scimark_benchmark: 937.5625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, build_cpu_time: 6.234, build_memory: 1145581763.2947, f_measure: 0.9693, kappa: 0.8309, kb_relative_information_score: 4149.0338, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9691, predictive_accuracy: 0.9697, prior_entropy: 0.4768, recall: 0.9697, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1571, root_relative_squared_error: 0.5183, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, build_cpu_time: 11.6341, build_memory: 280132779.5198, f_measure: 0.973, kappa: 0.852, kb_relative_information_score: 4291.128, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9729, predictive_accuracy: 0.9731, prior_entropy: 0.4768, recall: 0.9731, relative_absolute_error: 0.1658, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.499, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, build_cpu_time: 21.1361, build_memory: 294894258.8708, f_measure: 0.975, kappa: 0.8632, kb_relative_information_score: 4394.3731, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9749, predictive_accuracy: 0.9752, prior_entropy: 0.4768, recall: 0.9752, relative_absolute_error: 0.1519, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.4892, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, build_cpu_time: 40.6473, build_memory: 854042570.2832, f_measure: 0.9736, kappa: 0.8559, kb_relative_information_score: 4426.4162, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9735, predictive_accuracy: 0.9737, prior_entropy: 0.4768, recall: 0.9737, relative_absolute_error: 0.1453, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1493, root_relative_squared_error: 0.4926, scimark_benchmark: 924.2473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, build_cpu_time: 82.9804, build_memory: 973930503.886, f_measure: 0.9754, kappa: 0.8659, kb_relative_information_score: 4456.7577, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9754, predictive_accuracy: 0.9755, prior_entropy: 0.4768, recall: 0.9755, relative_absolute_error: 0.1386, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1486, root_relative_squared_error: 0.4903, scimark_benchmark: 942.0692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, build_cpu_time: 3.9271, build_memory: 1128056462.1348, f_measure: 0.9701, kappa: 0.8352, kb_relative_information_score: 4278.5128, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9699, predictive_accuracy: 0.9704, prior_entropy: 0.4768, recall: 0.9704, relative_absolute_error: 0.1691, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.5263, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, build_cpu_time: 3.6929, build_memory: 957536811.0097, f_measure: 0.9701, kappa: 0.8352, kb_relative_information_score: 4278.5128, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9699, predictive_accuracy: 0.9704, prior_entropy: 0.4768, recall: 0.9704, relative_absolute_error: 0.1691, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.5263, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, build_cpu_time: 3.8304, build_memory: 842927833.776, f_measure: 0.9701, kappa: 0.8352, kb_relative_information_score: 4278.5128, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9699, predictive_accuracy: 0.9704, prior_entropy: 0.4768, recall: 0.9704, relative_absolute_error: 0.1691, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.5263, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, build_cpu_time: 3.5147, build_memory: 474615910.7912, f_measure: 0.9699, kappa: 0.8341, kb_relative_information_score: 4262.6067, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9697, predictive_accuracy: 0.9702, prior_entropy: 0.4768, recall: 0.9702, relative_absolute_error: 0.1716, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.5283, scimark_benchmark: 942.0692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, build_cpu_time: 637.9786, build_memory: 589252101.3835, f_measure: 0.9632, kappa: 0.7951, kb_relative_information_score: 4028.1629, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.1838, number_of_instances: 5473, precision: 0.9628, predictive_accuracy: 0.964, prior_entropy: 0.4768, recall: 0.964, relative_absolute_error: 0.1986, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.6243, scimark_benchmark: 942.0692,

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