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Backtrace:

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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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Function: fopen

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

File: /var/www/openml/index.php
Line: 337
Function: require_once

OpenML
OpenML
Supervised Classification on analcatdata_authorship

Supervised Classification on analcatdata_authorship

Task 3833 Supervised Classification analcatdata_authorship 582 runs submitted
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Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, build_cpu_time: 3.6658, build_memory: 536899590.1356, f_measure: 0.9929, kappa: 0.9848, kb_relative_information_score: 827.6978, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 0.9561, recall: 0.9929, relative_absolute_error: 0.0152, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0845, root_relative_squared_error: 0.1743, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, build_cpu_time: 1.9232, build_memory: 697672445.679, f_measure: 0.9917, kappa: 0.9822, kb_relative_information_score: 825.8342, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 0.9561, recall: 0.9917, relative_absolute_error: 0.0173, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0878, root_relative_squared_error: 0.1811, scimark_benchmark: 919.5971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, build_cpu_time: 0.9355, build_memory: 286673324.4518, f_measure: 0.9881, kappa: 0.9747, kb_relative_information_score: 817.3544, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9881, predictive_accuracy: 0.9881, prior_entropy: 0.9561, recall: 0.9881, relative_absolute_error: 0.0273, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.1093, root_relative_squared_error: 0.2256, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, build_cpu_time: 0.4735, build_memory: 1208100473.3698, f_measure: 0.9905, kappa: 0.9797, kb_relative_information_score: 825.088, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 0.9561, recall: 0.9905, relative_absolute_error: 0.0178, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.1787, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, build_cpu_time: 0.9565, build_memory: 1388755117.4602, f_measure: 0.9929, kappa: 0.9848, kb_relative_information_score: 827.576, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 0.9561, recall: 0.9929, relative_absolute_error: 0.0154, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.1658, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, build_cpu_time: 1.8838, build_memory: 835374344.8847, f_measure: 0.9952, kappa: 0.9899, kb_relative_information_score: 832.0286, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 0.9561, recall: 0.9952, relative_absolute_error: 0.0102, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.069, root_relative_squared_error: 0.1423, scimark_benchmark: 943.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, build_cpu_time: 3.6639, build_memory: 1681729390.5446, f_measure: 0.9952, kappa: 0.9899, kb_relative_information_score: 832.061, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 0.9561, recall: 0.9952, relative_absolute_error: 0.0101, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.069, root_relative_squared_error: 0.1423, scimark_benchmark: 931.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, build_cpu_time: 7.2859, build_memory: 502128967.5054, f_measure: 0.9952, kappa: 0.9899, kb_relative_information_score: 832.1232, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 0.9561, recall: 0.9952, relative_absolute_error: 0.01, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0684, root_relative_squared_error: 0.1411, scimark_benchmark: 907.4175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, build_cpu_time: 0.3429, build_memory: 411081505.4174, f_measure: 0.9952, kappa: 0.9899, kb_relative_information_score: 830.4132, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 0.9561, recall: 0.9952, relative_absolute_error: 0.0129, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0689, root_relative_squared_error: 0.1421, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, build_cpu_time: 0.4937, build_memory: 80664434.0547, f_measure: 0.9952, kappa: 0.9899, kb_relative_information_score: 830.4132, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 0.9561, recall: 0.9952, relative_absolute_error: 0.0129, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0689, root_relative_squared_error: 0.1421, scimark_benchmark: 941.1411,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, build_cpu_time: 1.3097, build_memory: 444169510.2782, f_measure: 0.9893, kappa: 0.9772, kb_relative_information_score: 821.1712, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9893, predictive_accuracy: 0.9893, prior_entropy: 0.9561, recall: 0.9893, relative_absolute_error: 0.0225, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.098, root_relative_squared_error: 0.2023, scimark_benchmark: 937.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, build_cpu_time: 11.4211, build_memory: 1580190149.2224, f_measure: 0.9941, kappa: 0.9873, kb_relative_information_score: 829.7649, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 0.9561, recall: 0.9941, relative_absolute_error: 0.0129, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0771, root_relative_squared_error: 0.1592, scimark_benchmark: 937.8022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, build_cpu_time: 5.4776, build_memory: 779949699.6813, f_measure: 0.9905, kappa: 0.9797, kb_relative_information_score: 823.6103, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 0.9561, recall: 0.9905, relative_absolute_error: 0.0198, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0955, root_relative_squared_error: 0.1971, scimark_benchmark: 905.7962,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, build_cpu_time: 1.4798, build_memory: 777040987.3864, f_measure: 0.9798, kappa: 0.9568, kb_relative_information_score: 806.5642, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9798, predictive_accuracy: 0.9798, prior_entropy: 0.9561, recall: 0.9798, relative_absolute_error: 0.0394, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.1279, root_relative_squared_error: 0.264, scimark_benchmark: 930.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, build_cpu_time: 0.486, build_memory: 69856897.7598, f_measure: 0.953, kappa: 0.8989, kb_relative_information_score: 742.2942, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9565, predictive_accuracy: 0.9536, prior_entropy: 0.9561, recall: 0.9536, relative_absolute_error: 0.1208, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.4166, scimark_benchmark: 919.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, build_cpu_time: 2.2258, build_memory: 135108033.3508, f_measure: 0.9845, kappa: 0.9671, kb_relative_information_score: 805.4176, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9845, predictive_accuracy: 0.9845, prior_entropy: 0.9561, recall: 0.9845, relative_absolute_error: 0.043, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.1203, root_relative_squared_error: 0.2483, scimark_benchmark: 902.0906,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, build_cpu_time: 0.7307, build_memory: 266340438.2021, f_measure: 0.9893, kappa: 0.9772, kb_relative_information_score: 820.1654, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9893, predictive_accuracy: 0.9893, prior_entropy: 0.9561, recall: 0.9893, relative_absolute_error: 0.0242, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.1874, scimark_benchmark: 899.6089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, build_cpu_time: 0.7005, build_memory: 722106684.2901, f_measure: 0.9893, kappa: 0.9772, kb_relative_information_score: 820.1654, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9893, predictive_accuracy: 0.9893, prior_entropy: 0.9561, recall: 0.9893, relative_absolute_error: 0.0242, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.1874, scimark_benchmark: 947.3846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 3778.8597, build_memory: 2751855189.1653, f_measure: 0.9952, kappa: 0.9899, kb_relative_information_score: 826.8586, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 0.9561, recall: 0.9952, relative_absolute_error: 0.0181, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0585, root_relative_squared_error: 0.1207, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, build_cpu_time: 0.0331, build_memory: 338922196.0999, f_measure: 0.9165, kappa: 0.8219, kb_relative_information_score: 548.1225, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9165, predictive_accuracy: 0.9168, prior_entropy: 0.9561, recall: 0.9168, relative_absolute_error: 0.3908, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.2568, root_relative_squared_error: 0.53, scimark_benchmark: 943.8359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, build_cpu_time: 0.0204, build_memory: 576396760.799, f_measure: 0.9154, kappa: 0.8195, kb_relative_information_score: 546.6074, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9153, predictive_accuracy: 0.9156, prior_entropy: 0.9561, recall: 0.9156, relative_absolute_error: 0.3919, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.2598, root_relative_squared_error: 0.536, scimark_benchmark: 941.0301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, build_cpu_time: 0.0098, build_memory: 384824679.6005, f_measure: 0.9156, kappa: 0.8204, kb_relative_information_score: 544.1856, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9156, predictive_accuracy: 0.9156, prior_entropy: 0.9561, recall: 0.9156, relative_absolute_error: 0.3948, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.2603, root_relative_squared_error: 0.5371, scimark_benchmark: 872.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, build_cpu_time: 0.0056, build_memory: 2283171463.0392, f_measure: 0.9086, kappa: 0.8057, kb_relative_information_score: 539.8278, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9088, predictive_accuracy: 0.9084, prior_entropy: 0.9561, recall: 0.9084, relative_absolute_error: 0.3979, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.263, root_relative_squared_error: 0.5427, scimark_benchmark: 942.3742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, build_cpu_time: 0.0041, build_memory: 48962416.4376, f_measure: 0.9084, kappa: 0.805, kb_relative_information_score: 538.5381, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9084, predictive_accuracy: 0.9084, prior_entropy: 0.9561, recall: 0.9084, relative_absolute_error: 0.3997, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.265, root_relative_squared_error: 0.5469, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, build_cpu_time: 9.1811, build_memory: 468721752.8086, f_measure: 0.9941, kappa: 0.9873, kb_relative_information_score: 813.329, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 0.9561, recall: 0.9941, relative_absolute_error: 0.0389, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0714, root_relative_squared_error: 0.1473, scimark_benchmark: 940.8364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, build_cpu_time: 19.5996, build_memory: 58557056.0095, f_measure: 0.9941, kappa: 0.9873, kb_relative_information_score: 813.1313, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 0.9561, recall: 0.9941, relative_absolute_error: 0.0391, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0711, root_relative_squared_error: 0.1467, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, build_cpu_time: 41.5428, build_memory: 48134384.352, f_measure: 0.9952, kappa: 0.9899, kb_relative_information_score: 812.804, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 0.9561, recall: 0.9952, relative_absolute_error: 0.0394, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0729, root_relative_squared_error: 0.1504, scimark_benchmark: 942.6348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, build_cpu_time: 80.1337, build_memory: 559493913.2842, f_measure: 0.9929, kappa: 0.9848, kb_relative_information_score: 812.3103, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 0.9561, recall: 0.9929, relative_absolute_error: 0.0401, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0728, root_relative_squared_error: 0.1501, scimark_benchmark: 942.0425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, build_cpu_time: 142.3428, build_memory: 1216119509.3746, f_measure: 0.9941, kappa: 0.9873, kb_relative_information_score: 812.3441, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 0.9561, recall: 0.9941, relative_absolute_error: 0.04, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.0733, root_relative_squared_error: 0.1512, scimark_benchmark: 943.8633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, build_cpu_time: 15.667, build_memory: 217872674.9489, f_measure: 0.9869, kappa: 0.9722, kb_relative_information_score: 810.6049, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 0.9561, recall: 0.9869, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.1118, root_relative_squared_error: 0.2307, scimark_benchmark: 934.1739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, build_cpu_time: 9.5065, build_memory: 1275781779.5957, f_measure: 0.9869, kappa: 0.9721, kb_relative_information_score: 810.5775, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 0.9561, recall: 0.9869, relative_absolute_error: 0.037, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.112, root_relative_squared_error: 0.2311, scimark_benchmark: 945.8425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, build_cpu_time: 4.0423, build_memory: 1279039094.2021, f_measure: 0.9833, kappa: 0.9645, kb_relative_information_score: 804.2309, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9833, predictive_accuracy: 0.9834, prior_entropy: 0.9561, recall: 0.9834, relative_absolute_error: 0.0442, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.1257, root_relative_squared_error: 0.2595, scimark_benchmark: 909.9339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, build_cpu_time: 2.3968, build_memory: 921563626.3306, f_measure: 0.9833, kappa: 0.9645, kb_relative_information_score: 802.5987, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9834, predictive_accuracy: 0.9834, prior_entropy: 0.9561, recall: 0.9834, relative_absolute_error: 0.0465, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.1278, root_relative_squared_error: 0.2637, scimark_benchmark: 942.6202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, build_cpu_time: 2.1847, build_memory: 939396691.4816, f_measure: 0.9833, kappa: 0.9645, kb_relative_information_score: 802.5987, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9834, predictive_accuracy: 0.9834, prior_entropy: 0.9561, recall: 0.9834, relative_absolute_error: 0.0465, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.1278, root_relative_squared_error: 0.2637, scimark_benchmark: 940.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, build_cpu_time: 1.1582, build_memory: 499101621.7075, f_measure: 0.9762, kappa: 0.9493, kb_relative_information_score: 747.661, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9762, predictive_accuracy: 0.9762, prior_entropy: 0.9561, recall: 0.9762, relative_absolute_error: 0.1257, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.2925, scimark_benchmark: 942.7219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, build_cpu_time: 13.934, build_memory: 71048979.6243, f_measure: 0.9821, kappa: 0.9619, kb_relative_information_score: 749.0587, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9822, predictive_accuracy: 0.9822, prior_entropy: 0.9561, recall: 0.9822, relative_absolute_error: 0.1277, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.2716, scimark_benchmark: 947.2557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, build_cpu_time: 4.8233, build_memory: 1102862269.365, f_measure: 0.9726, kappa: 0.9414, kb_relative_information_score: 745.5098, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9728, predictive_accuracy: 0.9727, prior_entropy: 0.9561, recall: 0.9727, relative_absolute_error: 0.1298, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.1407, root_relative_squared_error: 0.2903, scimark_benchmark: 944.6229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, build_cpu_time: 2.3192, build_memory: 1542627481.9691, f_measure: 0.9713, kappa: 0.9388, kb_relative_information_score: 746.3185, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9717, predictive_accuracy: 0.9715, prior_entropy: 0.9561, recall: 0.9715, relative_absolute_error: 0.1278, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.294, scimark_benchmark: 944.1066,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, build_cpu_time: 0.6632, build_memory: 1644999895.591, f_measure: 0.9761, kappa: 0.9491, kb_relative_information_score: 747.0498, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.4698, number_of_instances: 841, precision: 0.9764, predictive_accuracy: 0.9762, prior_entropy: 0.9561, recall: 0.9762, relative_absolute_error: 0.1266, root_mean_prior_squared_error: 0.4846, root_mean_squared_error: 0.141, root_relative_squared_error: 0.2909, scimark_benchmark: 930.7201,

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