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A PHP Error was encountered

Severity: Warning

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Backtrace:

File: /var/www/openml/openml_OS/models/Log.php
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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

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

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

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Function: loadpage

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

OpenML
OpenML
Supervised Classification on analcatdata_gsssexsurvey

Supervised Classification on analcatdata_gsssexsurvey

Task 3717 Supervised Classification analcatdata_gsssexsurvey 506 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 under100k under1m
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506 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5779, build_cpu_time: 0.0142, build_memory: 263766750.5409, f_measure: 0.6939, kappa: 0.0281, kb_relative_information_score: -3.3239, mean_absolute_error: 0.3134, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6713, predictive_accuracy: 0.7484, prior_entropy: 0.7667, recall: 0.7484, relative_absolute_error: 0.9076, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4394, root_relative_squared_error: 1.0604, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5779, build_cpu_time: 0.0158, build_memory: 439239885.6352, f_measure: 0.6939, kappa: 0.0281, kb_relative_information_score: -3.3239, mean_absolute_error: 0.3134, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6713, predictive_accuracy: 0.7484, prior_entropy: 0.7667, recall: 0.7484, relative_absolute_error: 0.9076, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4394, root_relative_squared_error: 1.0604, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5781, build_cpu_time: 0.0122, build_memory: 666368217.912, f_measure: 0.7051, kappa: 0.0651, kb_relative_information_score: -6.9439, mean_absolute_error: 0.3201, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6888, predictive_accuracy: 0.7547, prior_entropy: 0.7667, recall: 0.7547, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4451, root_relative_squared_error: 1.0743, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.519, build_cpu_time: 0.019, build_memory: 733404503.6981, f_measure: 0.6527, kappa: -0.0459, kb_relative_information_score: -18.2548, mean_absolute_error: 0.3314, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6406, predictive_accuracy: 0.6667, prior_entropy: 0.7667, recall: 0.6667, relative_absolute_error: 0.9598, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.5339, root_relative_squared_error: 1.2885, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, build_cpu_time: 0.0474, build_memory: 146417660.9811, f_measure: 0.6745, kappa: 0.0241, kb_relative_information_score: -0.5264, mean_absolute_error: 0.2991, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.665, predictive_accuracy: 0.6855, prior_entropy: 0.7667, recall: 0.6855, relative_absolute_error: 0.8662, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.2539, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5096, build_cpu_time: 0.0746, build_memory: 1715674094.9434, f_measure: 0.6656, kappa: 0.0067, kb_relative_information_score: -4.0063, mean_absolute_error: 0.3054, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.659, predictive_accuracy: 0.673, prior_entropy: 0.7667, recall: 0.673, relative_absolute_error: 0.8844, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.5271, root_relative_squared_error: 1.2722, scimark_benchmark: 931.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5073, build_cpu_time: 0.0878, build_memory: 1150106568.3522, f_measure: 0.6656, kappa: 0.0067, kb_relative_information_score: -4.0069, mean_absolute_error: 0.3054, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.659, predictive_accuracy: 0.673, prior_entropy: 0.7667, recall: 0.673, relative_absolute_error: 0.8844, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.5273, root_relative_squared_error: 1.2725, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5159, build_cpu_time: 0.0149, build_memory: 530941752.9057, f_measure: 0.6621, kappa: 0.0416, kb_relative_information_score: -24.1487, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6711, predictive_accuracy: 0.6541, prior_entropy: 0.7667, recall: 0.6541, relative_absolute_error: 1.008, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.5841, root_relative_squared_error: 1.4097, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5159, build_cpu_time: 0.0116, build_memory: 83561776.1006, f_measure: 0.6621, kappa: 0.0416, kb_relative_information_score: -24.1487, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6711, predictive_accuracy: 0.6541, prior_entropy: 0.7667, recall: 0.6541, relative_absolute_error: 1.008, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.5841, root_relative_squared_error: 1.4097, scimark_benchmark: 941.1411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5159, build_cpu_time: 0.0093, build_memory: 61789324.478, f_measure: 0.6621, kappa: 0.0416, kb_relative_information_score: -24.1487, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6711, predictive_accuracy: 0.6541, prior_entropy: 0.7667, recall: 0.6541, relative_absolute_error: 1.008, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.5841, root_relative_squared_error: 1.4097, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5328, build_cpu_time: 0.0326, build_memory: 560201488.4528, f_measure: 0.6939, kappa: 0.0281, kb_relative_information_score: -4.1272, mean_absolute_error: 0.3195, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6713, predictive_accuracy: 0.7484, prior_entropy: 0.7667, recall: 0.7484, relative_absolute_error: 0.9252, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4414, root_relative_squared_error: 1.0654, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5348, build_cpu_time: 0.8176, build_memory: 788238174.3899, f_measure: 0.6789, kappa: 0.033, kb_relative_information_score: -6.4816, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6682, predictive_accuracy: 0.6918, prior_entropy: 0.7667, recall: 0.6918, relative_absolute_error: 0.9029, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.5521, root_relative_squared_error: 1.3326, scimark_benchmark: 899.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4741, build_cpu_time: 0.423, build_memory: 358457347.1698, f_measure: 0.6615, kappa: -0.015, kb_relative_information_score: -14.8132, mean_absolute_error: 0.3279, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6514, predictive_accuracy: 0.673, prior_entropy: 0.7667, recall: 0.673, relative_absolute_error: 0.9497, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.5622, root_relative_squared_error: 1.357, scimark_benchmark: 906.4221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5179, build_cpu_time: 0.2379, build_memory: 1939476860.4277, f_measure: 0.644, kappa: -0.0473, kb_relative_information_score: -19.3938, mean_absolute_error: 0.334, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6404, predictive_accuracy: 0.6478, prior_entropy: 0.7667, recall: 0.6478, relative_absolute_error: 0.9674, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.5551, root_relative_squared_error: 1.3398, scimark_benchmark: 932.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5402, build_cpu_time: 0.1016, build_memory: 910226821.5346, f_measure: 0.6745, kappa: 0.0112, kb_relative_information_score: -4.0938, mean_absolute_error: 0.307, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6606, predictive_accuracy: 0.6918, prior_entropy: 0.7667, recall: 0.6918, relative_absolute_error: 0.8892, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.5131, root_relative_squared_error: 1.2383, scimark_benchmark: 937.4026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5963, build_cpu_time: 0.0422, build_memory: 115460904.5031, f_measure: 0.6875, kappa: 0.0631, kb_relative_information_score: 0.2272, mean_absolute_error: 0.3004, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6786, predictive_accuracy: 0.6981, prior_entropy: 0.7667, recall: 0.6981, relative_absolute_error: 0.87, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.491, root_relative_squared_error: 1.185, scimark_benchmark: 902.0906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5479, build_cpu_time: 0.0007, build_memory: 1438710285.0315, f_measure: 0.7057, kappa: 0.0628, kb_relative_information_score: 3.2411, mean_absolute_error: 0.3203, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6972, predictive_accuracy: 0.7673, prior_entropy: 0.7667, recall: 0.7673, relative_absolute_error: 0.9277, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.988, scimark_benchmark: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5675, build_cpu_time: 0.0006, build_memory: 433974832, f_measure: 0.7017, kappa: 0.0509, kb_relative_information_score: 5.0727, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6869, predictive_accuracy: 0.761, prior_entropy: 0.7667, recall: 0.761, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.9897, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5457, build_cpu_time: 0.0509, build_memory: 647577725.0314, f_measure: 0.7004, kappa: 0.0692, kb_relative_information_score: -24.9219, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6832, predictive_accuracy: 0.7296, prior_entropy: 0.7667, recall: 0.7296, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4469, root_relative_squared_error: 1.0786, scimark_benchmark: 912.1058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4855, build_cpu_time: 0.0017, build_memory: 106770118.0377, f_measure: 0.6877, kappa: 0.0064, kb_relative_information_score: -1.5079, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6638, predictive_accuracy: 0.7673, prior_entropy: 0.7667, recall: 0.7673, relative_absolute_error: 0.9953, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4234, root_relative_squared_error: 1.0217, scimark_benchmark: 920.2722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5159, build_cpu_time: 0.0002, build_memory: 856597048, f_measure: 0.6621, kappa: 0.0416, kb_relative_information_score: -24.1487, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6711, predictive_accuracy: 0.6541, prior_entropy: 0.7667, recall: 0.6541, relative_absolute_error: 1.008, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.5841, root_relative_squared_error: 1.4097, scimark_benchmark: 933.1799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.0114, build_memory: 673600969.8616, f_measure: 0.6834, kb_relative_information_score: 42.3858, mean_absolute_error: 0.2201, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6082, predictive_accuracy: 0.7799, prior_entropy: 0.7667, recall: 0.7799, relative_absolute_error: 0.6375, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4692, root_relative_squared_error: 1.1323, scimark_benchmark: 942.9279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5124, build_cpu_time: 0.0067, build_memory: 210461620.9308, f_measure: 0.6972, kappa: 0.0354, kb_relative_information_score: 35.7961, mean_absolute_error: 0.2327, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.685, predictive_accuracy: 0.7673, prior_entropy: 0.7667, recall: 0.7673, relative_absolute_error: 0.6739, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4824, root_relative_squared_error: 1.1642, scimark_benchmark: 915.7861,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5647, build_cpu_time: 0.0024, build_memory: 40676841.2579, f_measure: 0.6783, kappa: -0.0139, kb_relative_information_score: -10.5495, mean_absolute_error: 0.3318, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6506, predictive_accuracy: 0.7233, prior_entropy: 0.7667, recall: 0.7233, relative_absolute_error: 0.961, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4565, root_relative_squared_error: 1.1018, scimark_benchmark: 945.8881,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5498, build_cpu_time: 9.5913, build_memory: 1359453364.0755, f_measure: 0.7075, kappa: 0.0783, kb_relative_information_score: -30.1838, mean_absolute_error: 0.3644, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6908, predictive_accuracy: 0.7484, prior_entropy: 0.7667, recall: 0.7484, relative_absolute_error: 1.0553, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4296, root_relative_squared_error: 1.0367, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5576, build_cpu_time: 19.3068, build_memory: 133683484.9811, f_measure: 0.701, kappa: 0.0539, kb_relative_information_score: -32.2933, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.682, predictive_accuracy: 0.7484, prior_entropy: 0.7667, recall: 0.7484, relative_absolute_error: 1.0724, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4284, root_relative_squared_error: 1.0339, scimark_benchmark: 934.3289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5571, build_cpu_time: 40.2016, build_memory: 117186430.0377, f_measure: 0.7051, kappa: 0.0651, kb_relative_information_score: -31.3148, mean_absolute_error: 0.3692, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6888, predictive_accuracy: 0.7547, prior_entropy: 0.7667, recall: 0.7547, relative_absolute_error: 1.0693, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4265, root_relative_squared_error: 1.0293, scimark_benchmark: 934.3289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5596, build_cpu_time: 0.4845, build_memory: 1025308815.6478, f_measure: 0.692, kappa: 0.0725, kb_relative_information_score: 2.0543, mean_absolute_error: 0.2952, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.682, predictive_accuracy: 0.7044, prior_entropy: 0.7667, recall: 0.7044, relative_absolute_error: 0.8549, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.5375, root_relative_squared_error: 1.2972, scimark_benchmark: 944.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.573, build_cpu_time: 0.288, build_memory: 1524808513.3082, f_measure: 0.7143, kappa: 0.1125, kb_relative_information_score: 23.4613, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6998, predictive_accuracy: 0.7421, prior_entropy: 0.7667, recall: 0.7421, relative_absolute_error: 0.7435, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4988, root_relative_squared_error: 1.2039, scimark_benchmark: 943.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.573, build_cpu_time: 0.2112, build_memory: 1752864166.7421, f_measure: 0.7143, kappa: 0.1125, kb_relative_information_score: 23.4613, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6998, predictive_accuracy: 0.7421, prior_entropy: 0.7667, recall: 0.7421, relative_absolute_error: 0.7435, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4988, root_relative_squared_error: 1.2039, scimark_benchmark: 941.2105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5777, build_cpu_time: 0.1317, build_memory: 677848780.9811, f_measure: 0.7322, kappa: 0.1582, kb_relative_information_score: 36.8176, mean_absolute_error: 0.232, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.7235, predictive_accuracy: 0.7673, prior_entropy: 0.7667, recall: 0.7673, relative_absolute_error: 0.672, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4689, root_relative_squared_error: 1.1317, scimark_benchmark: 928.3063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5969, build_cpu_time: 0.0679, build_memory: 467986947.1195, f_measure: 0.6991, kappa: 0.0565, kb_relative_information_score: 24.443, mean_absolute_error: 0.2542, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6799, predictive_accuracy: 0.7358, prior_entropy: 0.7667, recall: 0.7358, relative_absolute_error: 0.7362, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4833, root_relative_squared_error: 1.1664, scimark_benchmark: 941.4059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5868, build_cpu_time: 0.0314, build_memory: 1834820313.6604, f_measure: 0.7075, kappa: 0.0783, kb_relative_information_score: 27.7657, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6908, predictive_accuracy: 0.7484, prior_entropy: 0.7667, recall: 0.7484, relative_absolute_error: 0.7206, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4711, root_relative_squared_error: 1.1371, scimark_benchmark: 941.5665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5744, build_cpu_time: 0.2985, build_memory: 464323256.1509, f_measure: 0.6843, kappa: -0.0053, kb_relative_information_score: -13.8181, mean_absolute_error: 0.3395, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6517, predictive_accuracy: 0.761, prior_entropy: 0.7667, recall: 0.761, relative_absolute_error: 0.9832, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4253, root_relative_squared_error: 1.0265, scimark_benchmark: 942.7834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5624, build_cpu_time: 0.4309, build_memory: 854790710.1384, f_measure: 0.674, kappa: -0.036, kb_relative_information_score: -12.4308, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6049, predictive_accuracy: 0.761, prior_entropy: 0.7667, recall: 0.761, relative_absolute_error: 0.978, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4256, root_relative_squared_error: 1.0271, scimark_benchmark: 926.9534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5811, build_cpu_time: 0.2022, build_memory: 463272816, f_measure: 0.7051, kappa: 0.0651, kb_relative_information_score: -11.8179, mean_absolute_error: 0.3325, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6888, predictive_accuracy: 0.7547, prior_entropy: 0.7667, recall: 0.7547, relative_absolute_error: 0.9631, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4287, root_relative_squared_error: 1.0346, scimark_benchmark: 939.3486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5894, build_cpu_time: 0.1189, build_memory: 1057885849.2579, f_measure: 0.7075, kappa: 0.0783, kb_relative_information_score: -11.8425, mean_absolute_error: 0.3327, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6908, predictive_accuracy: 0.7484, prior_entropy: 0.7667, recall: 0.7484, relative_absolute_error: 0.9635, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4278, root_relative_squared_error: 1.0325, scimark_benchmark: 929.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5894, build_cpu_time: 0.1138, build_memory: 41979246.9937, f_measure: 0.7075, kappa: 0.0783, kb_relative_information_score: -11.8425, mean_absolute_error: 0.3327, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6908, predictive_accuracy: 0.7484, prior_entropy: 0.7667, recall: 0.7484, relative_absolute_error: 0.9635, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4278, root_relative_squared_error: 1.0325, scimark_benchmark: 851.6949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5957, build_cpu_time: 0.0429, build_memory: 102976183.0943, f_measure: 0.7117, kappa: 0.0896, kb_relative_information_score: -11.4395, mean_absolute_error: 0.3305, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6971, predictive_accuracy: 0.7547, prior_entropy: 0.7667, recall: 0.7547, relative_absolute_error: 0.9571, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4265, root_relative_squared_error: 1.0293, scimark_benchmark: 897.7694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5853, build_cpu_time: 0.0294, build_memory: 472577201.6604, f_measure: 0.7134, kappa: 0.1014, kb_relative_information_score: -10.3159, mean_absolute_error: 0.3284, mean_prior_absolute_error: 0.3453, number_of_instances: 159, precision: 0.6983, predictive_accuracy: 0.7484, prior_entropy: 0.7667, recall: 0.7484, relative_absolute_error: 0.951, root_mean_prior_squared_error: 0.4143, root_mean_squared_error: 0.4288, root_relative_squared_error: 1.0349, scimark_benchmark: 897.5668,

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