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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
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Function: sql

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

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Severity: Warning

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Backtrace:

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Function: fopen

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

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Function: loadpage

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

OpenML
OpenML
Supervised Classification on spambase

Supervised Classification on spambase

Task 43 Supervised Classification spambase 99483 runs submitted
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Visibility: Public
  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_7 study_70 study_98 study_99 under100k under1m
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99483 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, build_cpu_time: 15.6752, build_memory: 914962085.0685, f_measure: 0.9413, kappa: 0.8769, kb_relative_information_score: 3979.8874, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9412, predictive_accuracy: 0.9413, prior_entropy: 0.9674, recall: 0.9413, relative_absolute_error: 0.1348, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.227, root_relative_squared_error: 0.4646, scimark_benchmark: 933.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, build_cpu_time: 10.2052, build_memory: 570680306.1561, f_measure: 0.9374, kappa: 0.8689, kb_relative_information_score: 3939.489, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9374, predictive_accuracy: 0.9374, prior_entropy: 0.9674, recall: 0.9374, relative_absolute_error: 0.1442, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.4695, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, build_cpu_time: 6.2054, build_memory: 476823735.4627, f_measure: 0.9506, kappa: 0.8965, kb_relative_information_score: 4123.126, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9506, predictive_accuracy: 0.9507, prior_entropy: 0.9674, recall: 0.9507, relative_absolute_error: 0.1019, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.4289, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, build_cpu_time: 8.2372, build_memory: 116976588.7416, f_measure: 0.9515, kappa: 0.8983, kb_relative_information_score: 4126.5777, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9515, predictive_accuracy: 0.9515, prior_entropy: 0.9674, recall: 0.9515, relative_absolute_error: 0.1012, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.4274, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, build_cpu_time: 535.1379, build_memory: 92199882.3212, f_measure: 0.908, kappa: 0.8072, kb_relative_information_score: 3698.4112, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.908, predictive_accuracy: 0.9081, prior_entropy: 0.9674, recall: 0.9081, relative_absolute_error: 0.1923, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3029, root_relative_squared_error: 0.62, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, build_cpu_time: 10.5313, build_memory: 88768994.3873, f_measure: 0.9515, kappa: 0.8983, kb_relative_information_score: 4126.7531, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9515, predictive_accuracy: 0.9515, prior_entropy: 0.9674, recall: 0.9515, relative_absolute_error: 0.1011, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.4273, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, build_cpu_time: 9.7519, build_memory: 86596276.7868, f_measure: 0.9517, kappa: 0.8988, kb_relative_information_score: 4126.4881, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9517, predictive_accuracy: 0.9518, prior_entropy: 0.9674, recall: 0.9518, relative_absolute_error: 0.1012, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.4274, scimark_benchmark: 934.8107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, build_cpu_time: 370.3525, build_memory: 88256491.4219, f_measure: 0.908, kappa: 0.8072, kb_relative_information_score: 3698.4018, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.908, predictive_accuracy: 0.9081, prior_entropy: 0.9674, recall: 0.9081, relative_absolute_error: 0.1923, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3029, root_relative_squared_error: 0.62, scimark_benchmark: 934.8107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, build_cpu_time: 9.5934, build_memory: 418387051.1315, f_measure: 0.9517, kappa: 0.8988, kb_relative_information_score: 4126.4881, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9517, predictive_accuracy: 0.9518, prior_entropy: 0.9674, recall: 0.9518, relative_absolute_error: 0.1012, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.4274, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, build_cpu_time: 133.0645, build_memory: 693473345.744, f_measure: 0.908, kappa: 0.8072, kb_relative_information_score: 3698.3828, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.908, predictive_accuracy: 0.9081, prior_entropy: 0.9674, recall: 0.9081, relative_absolute_error: 0.1923, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3029, root_relative_squared_error: 0.62, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, build_cpu_time: 3.0816, build_memory: 87423517.1328, f_measure: 0.9306, kappa: 0.8543, kb_relative_information_score: 3640.7959, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9308, predictive_accuracy: 0.9309, prior_entropy: 0.9674, recall: 0.9309, relative_absolute_error: 0.2225, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.23, root_relative_squared_error: 0.4706, scimark_benchmark: 934.2858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, build_cpu_time: 19.2482, build_memory: 2153121414.1117, f_measure: 0.9465, kappa: 0.888, kb_relative_information_score: 4076.0314, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9465, predictive_accuracy: 0.9465, prior_entropy: 0.9674, recall: 0.9465, relative_absolute_error: 0.1119, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.4501, scimark_benchmark: 944.3832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3233, build_cpu_time: 0.1853, build_memory: 1205809853.9413, f_measure: 0.3541, kappa: -0.3544, kb_relative_information_score: -1736.2921, mean_absolute_error: 0.6449, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3532, predictive_accuracy: 0.3551, prior_entropy: 0.9674, recall: 0.3551, relative_absolute_error: 1.3503, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.803, root_relative_squared_error: 1.6434, scimark_benchmark: 944.3832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, build_cpu_time: 15.9403, build_memory: 309138203.6149, f_measure: 0.9344, kappa: 0.8624, kb_relative_information_score: 3837.4776, mean_absolute_error: 0.0819, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9345, predictive_accuracy: 0.9346, prior_entropy: 0.9674, recall: 0.9346, relative_absolute_error: 0.1715, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.4637, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, build_cpu_time: 1.3926, build_memory: 755296693.0841, f_measure: 0.9432, kappa: 0.8809, kb_relative_information_score: 3965.3506, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9432, predictive_accuracy: 0.9433, prior_entropy: 0.9674, recall: 0.9433, relative_absolute_error: 0.1402, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.4458, scimark_benchmark: 945.8601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, build_cpu_time: 0.1526, build_memory: 1234411228.0461, f_measure: 0.9322, kappa: 0.8576, kb_relative_information_score: 3888.1732, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9323, predictive_accuracy: 0.9324, prior_entropy: 0.9674, recall: 0.9324, relative_absolute_error: 0.1554, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2348, root_relative_squared_error: 0.4804, scimark_benchmark: 936.8525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, build_cpu_time: 2.4013, build_memory: 603877120.226, f_measure: 0.9545, kappa: 0.9045, kb_relative_information_score: 3727.8516, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9546, predictive_accuracy: 0.9546, prior_entropy: 0.9674, recall: 0.9546, relative_absolute_error: 0.2125, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.3963, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, build_cpu_time: 2.168, build_memory: 339218723.2376, f_measure: 0.9229, kappa: 0.8383, kb_relative_information_score: 3580.0965, mean_absolute_error: 0.1143, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9229, predictive_accuracy: 0.9231, prior_entropy: 0.9674, recall: 0.9231, relative_absolute_error: 0.2393, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.5419, scimark_benchmark: 945.4085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6832, build_cpu_time: 116.888, build_memory: 716609768.233, f_measure: 0.7141, kappa: 0.4078, kb_relative_information_score: 2104.0203, mean_absolute_error: 0.2541, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7947, predictive_accuracy: 0.7459, prior_entropy: 0.9674, recall: 0.7459, relative_absolute_error: 0.532, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.5041, root_relative_squared_error: 1.0315, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, build_cpu_time: 0.0009, build_memory: 452898227.1663, f_measure: 0.9082, kappa: 0.8077, kb_relative_information_score: 3697.1745, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9082, predictive_accuracy: 0.9083, prior_entropy: 0.9674, recall: 0.9083, relative_absolute_error: 0.1927, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3029, root_relative_squared_error: 0.6198, scimark_benchmark: 892.0716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, build_cpu_time: 0.2796, build_memory: 998057337.4849, f_measure: 0.9003, kappa: 0.7898, kb_relative_information_score: 3631.1746, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9022, predictive_accuracy: 0.9013, prior_entropy: 0.9674, recall: 0.9013, relative_absolute_error: 0.2066, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3141, root_relative_squared_error: 0.6428, scimark_benchmark: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, build_cpu_time: 0.8742, build_memory: 108675015.188, f_measure: 0.9236, kappa: 0.8393, kb_relative_information_score: 3853.3061, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9239, predictive_accuracy: 0.9239, prior_entropy: 0.9674, recall: 0.9239, relative_absolute_error: 0.1593, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2758, root_relative_squared_error: 0.5644, scimark_benchmark: 948.6597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, build_cpu_time: 0.5715, build_memory: 444262599.1758, f_measure: 0.9276, kappa: 0.8479, kb_relative_information_score: 3525.5318, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9278, predictive_accuracy: 0.9278, prior_entropy: 0.9674, recall: 0.9278, relative_absolute_error: 0.2498, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.242, root_relative_squared_error: 0.4953, scimark_benchmark: 945.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, build_cpu_time: 0.0522, build_memory: 153718153.6014, f_measure: 0.7965, kappa: 0.6007, kb_relative_information_score: 2587.4753, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8441, predictive_accuracy: 0.795, prior_entropy: 0.9674, recall: 0.795, relative_absolute_error: 0.429, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4508, root_relative_squared_error: 0.9225, scimark_benchmark: 946.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, build_cpu_time: 1.6787, build_memory: 569249629.8213, f_measure: 0.9414, kappa: 0.8772, kb_relative_information_score: 3630.1432, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9414, predictive_accuracy: 0.9415, prior_entropy: 0.9674, recall: 0.9415, relative_absolute_error: 0.231, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.4466, scimark_benchmark: 945.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, build_cpu_time: 1.6727, build_memory: 803632172.3886, f_measure: 0.9414, kappa: 0.8772, kb_relative_information_score: 3630.1432, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9414, predictive_accuracy: 0.9415, prior_entropy: 0.9674, recall: 0.9415, relative_absolute_error: 0.231, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.4466, scimark_benchmark: 940.7816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, build_cpu_time: 1.5683, build_memory: 832061332.1278, f_measure: 0.9414, kappa: 0.8772, kb_relative_information_score: 3630.1432, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9414, predictive_accuracy: 0.9415, prior_entropy: 0.9674, recall: 0.9415, relative_absolute_error: 0.231, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.4466, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, build_cpu_time: 1.5008, build_memory: 707246879.4123, f_measure: 0.9414, kappa: 0.8772, kb_relative_information_score: 3630.1432, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9414, predictive_accuracy: 0.9415, prior_entropy: 0.9674, recall: 0.9415, relative_absolute_error: 0.231, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.4466, scimark_benchmark: 933.4176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, build_cpu_time: 0.4213, build_memory: 181505430.4751, f_measure: 0.9012, kappa: 0.7929, kb_relative_information_score: 3231.5963, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9012, predictive_accuracy: 0.9013, prior_entropy: 0.9674, recall: 0.9013, relative_absolute_error: 0.315, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.276, root_relative_squared_error: 0.5649, scimark_benchmark: 945.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, build_cpu_time: 0.3865, build_memory: 136102669.4423, f_measure: 0.9012, kappa: 0.7929, kb_relative_information_score: 3231.5963, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9012, predictive_accuracy: 0.9013, prior_entropy: 0.9674, recall: 0.9013, relative_absolute_error: 0.315, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.276, root_relative_squared_error: 0.5649, scimark_benchmark: 940.7816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, build_cpu_time: 0.5553, build_memory: 428013618.4968, f_measure: 0.9271, kappa: 0.8472, kb_relative_information_score: 3751.0753, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9271, predictive_accuracy: 0.9272, prior_entropy: 0.9674, recall: 0.9272, relative_absolute_error: 0.1923, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2572, root_relative_squared_error: 0.5263, scimark_benchmark: 946.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, build_cpu_time: 0.0005, build_memory: 130568334.5725, f_measure: 0.4573, kb_relative_information_score: -0.0763, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 949.9767,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9471, kappa: 0.8889, kb_relative_information_score: 0.7774, mean_absolute_error: 0.1192, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9471, predictive_accuracy: 0.9472, prior_entropy: 0.9674, recall: 0.9472, relative_absolute_error: 0.2497, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.211, root_relative_squared_error: 0.4318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, build_cpu_time: 0.2085, build_memory: 341848704.6955, f_measure: 0.792, kappa: 0.5601, kb_relative_information_score: 1696.2418, mean_absolute_error: 0.3211, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7951, predictive_accuracy: 0.7959, prior_entropy: 0.9674, recall: 0.7959, relative_absolute_error: 0.6725, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.373, root_relative_squared_error: 0.7634, scimark_benchmark: 915.7224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, build_cpu_time: 0.0811, build_memory: 829733094.7655, f_measure: 0.797, kappa: 0.5703, kb_relative_information_score: 1700.8363, mean_absolute_error: 0.321, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8031, predictive_accuracy: 0.802, prior_entropy: 0.9674, recall: 0.802, relative_absolute_error: 0.6722, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.7626, scimark_benchmark: 941.0301,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, build_cpu_time: 23.6634, build_memory: 3145140148.2912, f_measure: 0.9218, kappa: 0.8354, kb_relative_information_score: 3824.8422, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9223, predictive_accuracy: 0.9222, prior_entropy: 0.9674, recall: 0.9222, relative_absolute_error: 0.1661, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2717, root_relative_squared_error: 0.5559, scimark_benchmark: 944.3501,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, build_cpu_time: 225.4547, build_memory: 92662566.875, f_measure: 0.9475, kappa: 0.8899, kb_relative_information_score: 3857.6867, mean_absolute_error: 0.0819, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9476, predictive_accuracy: 0.9476, prior_entropy: 0.9674, recall: 0.9476, relative_absolute_error: 0.1715, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.4137, scimark_benchmark: 821.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, build_cpu_time: 594.7282, build_memory: 82310605.8892, f_measure: 0.9473, kappa: 0.8895, kb_relative_information_score: 3863.4093, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9473, predictive_accuracy: 0.9474, prior_entropy: 0.9674, recall: 0.9474, relative_absolute_error: 0.1709, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.199, root_relative_squared_error: 0.4072, scimark_benchmark: 942.6348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, build_cpu_time: 1216.7653, build_memory: 123324167.9704, f_measure: 0.9482, kappa: 0.8914, kb_relative_information_score: 3872.2676, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9482, predictive_accuracy: 0.9483, prior_entropy: 0.9674, recall: 0.9483, relative_absolute_error: 0.1696, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.3989, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9471, kappa: 0.8889, kb_relative_information_score: 0.7774, mean_absolute_error: 0.1192, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9471, predictive_accuracy: 0.9472, prior_entropy: 0.9674, recall: 0.9472, relative_absolute_error: 0.2497, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.211, root_relative_squared_error: 0.4318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, build_cpu_time: 2303.3729, build_memory: 1236828437.0528, f_measure: 0.9502, kappa: 0.8955, kb_relative_information_score: 3876.9327, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9502, predictive_accuracy: 0.9502, prior_entropy: 0.9674, recall: 0.9502, relative_absolute_error: 0.1692, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.3959, scimark_benchmark: 940.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, build_cpu_time: 4909.3568, build_memory: 321282329.9283, f_measure: 0.9493, kappa: 0.8937, kb_relative_information_score: 3876.2682, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9493, predictive_accuracy: 0.9494, prior_entropy: 0.9674, recall: 0.9494, relative_absolute_error: 0.1696, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.3953, scimark_benchmark: 928.3063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, build_cpu_time: 193.7687, build_memory: 559019301.5431, f_measure: 0.9493, kappa: 0.8937, kb_relative_information_score: 4097.962, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9493, predictive_accuracy: 0.9494, prior_entropy: 0.9674, recall: 0.9494, relative_absolute_error: 0.1076, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2174, root_relative_squared_error: 0.445, scimark_benchmark: 909.9339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, build_cpu_time: 97.1362, build_memory: 919574136.5564, f_measure: 0.9445, kappa: 0.8836, kb_relative_information_score: 4052.3552, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9445, predictive_accuracy: 0.9446, prior_entropy: 0.9674, recall: 0.9446, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.4654, scimark_benchmark: 941.8931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, build_cpu_time: 50.8779, build_memory: 53125574.1569, f_measure: 0.9412, kappa: 0.8767, kb_relative_information_score: 4018.1835, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9412, predictive_accuracy: 0.9413, prior_entropy: 0.9674, recall: 0.9413, relative_absolute_error: 0.1242, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.4799, scimark_benchmark: 935.2997,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, build_cpu_time: 228.795, build_memory: 116350996.2478, f_measure: 0.9446, kappa: 0.8837, kb_relative_information_score: 3705.7336, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9448, predictive_accuracy: 0.9448, prior_entropy: 0.9674, recall: 0.9448, relative_absolute_error: 0.2148, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.4293, scimark_benchmark: 868.5733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, build_cpu_time: 398.1831, build_memory: 388703470.6959, f_measure: 0.9438, kappa: 0.8819, kb_relative_information_score: 3706.1104, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9439, predictive_accuracy: 0.9439, prior_entropy: 0.9674, recall: 0.9439, relative_absolute_error: 0.2148, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.4286, scimark_benchmark: 948.1072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, build_cpu_time: 63.9576, build_memory: 1081282421.6701, f_measure: 0.9455, kappa: 0.8857, kb_relative_information_score: 3762.4671, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9456, predictive_accuracy: 0.9457, prior_entropy: 0.9674, recall: 0.9457, relative_absolute_error: 0.1986, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.4238, scimark_benchmark: 940.1983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, build_cpu_time: 36.1557, build_memory: 654065903.0367, f_measure: 0.9455, kappa: 0.8857, kb_relative_information_score: 3764.8567, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9456, predictive_accuracy: 0.9457, prior_entropy: 0.9674, recall: 0.9457, relative_absolute_error: 0.1979, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.4241, scimark_benchmark: 932.6332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, build_cpu_time: 31.7908, build_memory: 1111808246.8924, f_measure: 0.9455, kappa: 0.8857, kb_relative_information_score: 3764.8567, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9456, predictive_accuracy: 0.9457, prior_entropy: 0.9674, recall: 0.9457, relative_absolute_error: 0.1979, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.4241, scimark_benchmark: 948.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, build_cpu_time: 16.893, build_memory: 4070400835.2202, f_measure: 0.9442, kappa: 0.883, kb_relative_information_score: 3761.99, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9443, predictive_accuracy: 0.9444, prior_entropy: 0.9674, recall: 0.9444, relative_absolute_error: 0.198, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.4264, scimark_benchmark: 940.9596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, build_cpu_time: 8.3292, build_memory: 79138893.5014, f_measure: 0.9438, kappa: 0.8821, kb_relative_information_score: 3763.1241, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9438, predictive_accuracy: 0.9439, prior_entropy: 0.9674, recall: 0.9439, relative_absolute_error: 0.1972, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.4306, scimark_benchmark: 930.7824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, build_cpu_time: 0.4767, build_memory: 99873837.4493, f_measure: 0.9271, kappa: 0.8472, kb_relative_information_score: 3751.0753, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9271, predictive_accuracy: 0.9272, prior_entropy: 0.9674, recall: 0.9272, relative_absolute_error: 0.1923, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2572, root_relative_squared_error: 0.5263, scimark_benchmark: 946.3683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, build_cpu_time: 0.5243, build_memory: 305393406.1952, f_measure: 0.9271, kappa: 0.8472, kb_relative_information_score: 3751.0753, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9271, predictive_accuracy: 0.9272, prior_entropy: 0.9674, recall: 0.9272, relative_absolute_error: 0.1923, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2572, root_relative_squared_error: 0.5263, scimark_benchmark: 947.815,

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