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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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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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File: /var/www/openml/openml_OS/controllers/Frontend.php
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Function: loadpage

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

OpenML
Task
Supervised Classification on credit-approval

Supervised Classification on credit-approval

Task 29 Supervised Classification credit-approval 21238 runs submitted
0 likes downloaded by 3 people , 12 total downloads 0 issues
Visibility: Public
  • at2 basic ComplexWorkflows mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_70 study_73 study_98 study_99 under100k under1m
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21238 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, build_cpu_time: 9.434, build_memory: 1101554263.2, f_measure: 0.8724, kappa: 0.7415, kb_relative_information_score: 386.3844, mean_absolute_error: 0.2365, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8723, predictive_accuracy: 0.8725, prior_entropy: 0.9913, recall: 0.8725, relative_absolute_error: 0.4788, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.6427, scimark_benchmark: 930.7538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, build_cpu_time: 8.9005, build_memory: 1115624528, f_measure: 0.8724, kappa: 0.7415, kb_relative_information_score: 386.3844, mean_absolute_error: 0.2365, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8723, predictive_accuracy: 0.8725, prior_entropy: 0.9913, recall: 0.8725, relative_absolute_error: 0.4788, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.6427, scimark_benchmark: 927.3358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, build_cpu_time: 4.9757, build_memory: 1194500980, f_measure: 0.868, kappa: 0.7326, kb_relative_information_score: 387.2418, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.868, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.4774, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.6426, scimark_benchmark: 911.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, build_cpu_time: 4.774, build_memory: 771799094.4, f_measure: 0.868, kappa: 0.7326, kb_relative_information_score: 387.2418, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.868, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.4774, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.6426, scimark_benchmark: 929.8269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, build_cpu_time: 2.3793, build_memory: 566661538.4, f_measure: 0.8695, kappa: 0.7358, kb_relative_information_score: 388.8469, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8695, predictive_accuracy: 0.8696, prior_entropy: 0.9913, recall: 0.8696, relative_absolute_error: 0.4751, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3183, root_relative_squared_error: 0.6405, scimark_benchmark: 923.8639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, build_cpu_time: 2.5257, build_memory: 573421021.6, f_measure: 0.8695, kappa: 0.7358, kb_relative_information_score: 388.8469, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8695, predictive_accuracy: 0.8696, prior_entropy: 0.9913, recall: 0.8696, relative_absolute_error: 0.4751, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3183, root_relative_squared_error: 0.6405, scimark_benchmark: 925.2506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, build_cpu_time: 1.2232, build_memory: 1895145848, f_measure: 0.8652, kappa: 0.7272, kb_relative_information_score: 388.099, mean_absolute_error: 0.235, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8653, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.4758, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3191, root_relative_squared_error: 0.6422, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, build_cpu_time: 1.5694, build_memory: 579878383.2, f_measure: 0.8652, kappa: 0.7272, kb_relative_information_score: 388.099, mean_absolute_error: 0.235, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8653, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.4758, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3191, root_relative_squared_error: 0.6422, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, build_cpu_time: 0.0079, build_memory: 890528686.4, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766, scimark_benchmark: 926.9727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, build_cpu_time: 0.013, build_memory: 391311138.4, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, build_cpu_time: 0.0276, build_memory: 640090071.2, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, build_cpu_time: 0.0233, build_memory: 219400646.4, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766, scimark_benchmark: 943.2191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, build_cpu_time: 0.0276, build_memory: 99421208, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, build_cpu_time: 0.0155, build_memory: 202374789.6, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, build_cpu_time: 0.0247, build_memory: 205258072, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766, scimark_benchmark: 926.9727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, build_cpu_time: 2.7006, build_memory: 745313280, f_measure: 0.8639, kappa: 0.7249, kb_relative_information_score: 429.4929, mean_absolute_error: 0.1993, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8643, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.4035, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.6377, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, build_cpu_time: 0.038, build_memory: 709810460, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, build_cpu_time: 0.0472, build_memory: 433321757.6, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766, scimark_benchmark: 939.4327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, build_cpu_time: 0.054, build_memory: 829250167.2, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, build_cpu_time: 0.0317, build_memory: 1148117291.2, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766, scimark_benchmark: 937.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, build_cpu_time: 0.0316, build_memory: 450582091.2, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, build_cpu_time: 0.6608, build_memory: 676150169.6, f_measure: 0.8668, kappa: 0.7306, kb_relative_information_score: 430.9299, mean_absolute_error: 0.1985, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.867, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.4019, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.317, root_relative_squared_error: 0.6379, scimark_benchmark: 939.4327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, build_cpu_time: 0.3283, build_memory: 475958090.4, f_measure: 0.8785, kappa: 0.7546, kb_relative_information_score: 440.1163, mean_absolute_error: 0.1919, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8794, predictive_accuracy: 0.8783, prior_entropy: 0.9913, recall: 0.8783, relative_absolute_error: 0.3886, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.6324, scimark_benchmark: 934.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, build_cpu_time: 0.33, build_memory: 334519221.6, f_measure: 0.8785, kappa: 0.7546, kb_relative_information_score: 440.1163, mean_absolute_error: 0.1919, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8794, predictive_accuracy: 0.8783, prior_entropy: 0.9913, recall: 0.8783, relative_absolute_error: 0.3886, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.6324, scimark_benchmark: 943.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, build_cpu_time: 0.197, build_memory: 1510673159.2, f_measure: 0.7707, kappa: 0.5375, kb_relative_information_score: 377.4151, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7933, predictive_accuracy: 0.7783, prior_entropy: 0.9913, recall: 0.7783, relative_absolute_error: 0.4508, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.427, root_relative_squared_error: 0.8592, scimark_benchmark: 905.0866,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, build_cpu_time: 0.1907, build_memory: 744724369.6, f_measure: 0.7707, kappa: 0.5375, kb_relative_information_score: 377.4151, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7933, predictive_accuracy: 0.7783, prior_entropy: 0.9913, recall: 0.7783, relative_absolute_error: 0.4508, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.427, root_relative_squared_error: 0.8592, scimark_benchmark: 932.5791,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, build_cpu_time: 0.8118, build_memory: 703806060.8, f_measure: 0.8626, kappa: 0.7224, kb_relative_information_score: 442.4678, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8634, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3814, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3106, root_relative_squared_error: 0.6249, scimark_benchmark: 938.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, build_cpu_time: 0.7472, build_memory: 513910664, f_measure: 0.8626, kappa: 0.7224, kb_relative_information_score: 442.4678, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8634, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3814, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3106, root_relative_squared_error: 0.6249, scimark_benchmark: 939.9477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, build_cpu_time: 0.394, build_memory: 151626575.2, f_measure: 0.8669, kappa: 0.7314, kb_relative_information_score: 441.8666, mean_absolute_error: 0.1889, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8681, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.3824, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.6266, scimark_benchmark: 933.0104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, build_cpu_time: 0.3743, build_memory: 227480761.6, f_measure: 0.8669, kappa: 0.7314, kb_relative_information_score: 441.8666, mean_absolute_error: 0.1889, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8681, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.3824, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.6266, scimark_benchmark: 896.9419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9271, build_cpu_time: 0.3091, build_memory: 1435461096.8, f_measure: 0.8655, kappa: 0.7284, kb_relative_information_score: 442.1896, mean_absolute_error: 0.1886, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8666, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.3818, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.6284, scimark_benchmark: 941.3268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9271, build_cpu_time: 0.2334, build_memory: 1217276407.2, f_measure: 0.8655, kappa: 0.7284, kb_relative_information_score: 442.1896, mean_absolute_error: 0.1886, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8666, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.3818, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.6284, scimark_benchmark: 941.0852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, build_cpu_time: 0.1197, build_memory: 1952663105.6, f_measure: 0.864, kappa: 0.7253, kb_relative_information_score: 442.1651, mean_absolute_error: 0.1882, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8647, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.381, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3134, root_relative_squared_error: 0.6306, scimark_benchmark: 930.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, build_cpu_time: 0.1132, build_memory: 2289713515.2, f_measure: 0.864, kappa: 0.7253, kb_relative_information_score: 442.1651, mean_absolute_error: 0.1882, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8647, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.381, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3134, root_relative_squared_error: 0.6306, scimark_benchmark: 945.2522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, build_cpu_time: 0.1259, build_memory: 424730458.4, f_measure: 0.864, kappa: 0.7253, kb_relative_information_score: 442.1651, mean_absolute_error: 0.1882, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8647, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.381, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3134, root_relative_squared_error: 0.6306, scimark_benchmark: 938.9269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8791, build_cpu_time: 0.0325, build_memory: 20847057.6, f_measure: 0.8593, kappa: 0.7151, kb_relative_information_score: 432.7831, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8593, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.3983, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3381, root_relative_squared_error: 0.6802, scimark_benchmark: 943.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.809, f_measure: 0.8127, kappa: 0.6201, kb_relative_information_score: 426.4074, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8127, predictive_accuracy: 0.813, prior_entropy: 0.9913, recall: 0.813, relative_absolute_error: 0.3805, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8687, scimark_benchmark: 944.9651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.8184, kappa: 0.6317, kb_relative_information_score: 425.2731, mean_absolute_error: 0.1918, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8185, predictive_accuracy: 0.8188, prior_entropy: 0.9913, recall: 0.8188, relative_absolute_error: 0.3883, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.364, root_relative_squared_error: 0.7324, scimark_benchmark: 928.5133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.8651, kappa: 0.7269, kb_relative_information_score: 480.9873, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8651, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.3081, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3411, root_relative_squared_error: 0.6864, scimark_benchmark: 595.0656,
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: 0.9273, f_measure: 0.8741, kappa: 0.7458, kb_relative_information_score: 507.5941, mean_absolute_error: 0.1307, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.875, predictive_accuracy: 0.8739, prior_entropy: 0.9913, recall: 0.8739, relative_absolute_error: 0.2647, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3437, root_relative_squared_error: 0.6916, scimark_benchmark: 939.6247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8438, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 381.4619, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.486, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.695, scimark_benchmark: 946.0201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.8413, kappa: 0.6778, kb_relative_information_score: 399.331, mean_absolute_error: 0.2197, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8424, predictive_accuracy: 0.842, prior_entropy: 0.9913, recall: 0.842, relative_absolute_error: 0.4448, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3417, root_relative_squared_error: 0.6875, scimark_benchmark: 935.6623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.8507, kappa: 0.6977, kb_relative_information_score: 457.5116, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8507, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.3428, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3487, root_relative_squared_error: 0.7017, scimark_benchmark: 581.1212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, f_measure: 0.7892, kappa: 0.5731, kb_relative_information_score: 400.5495, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8039, predictive_accuracy: 0.7942, prior_entropy: 0.9913, recall: 0.7942, relative_absolute_error: 0.4171, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4454, root_relative_squared_error: 0.8962, scimark_benchmark: 594.7493,
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: 0.9274, f_measure: 0.8595, kappa: 0.7157, kb_relative_information_score: 494.0036, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8596, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.2827, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3571, root_relative_squared_error: 0.7186, scimark_benchmark: 593.3393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.8511, kappa: 0.6996, kb_relative_information_score: 413.5933, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8527, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3386, root_relative_squared_error: 0.6813, scimark_benchmark: 891.2899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8538, kappa: 0.7045, kb_relative_information_score: 481.7807, mean_absolute_error: 0.1482, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8543, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.3, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.748, scimark_benchmark: 893.4063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.8169, kappa: 0.6286, kb_relative_information_score: 425.6647, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8171, predictive_accuracy: 0.8174, prior_entropy: 0.9913, recall: 0.8174, relative_absolute_error: 0.3878, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.7308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8641, kappa: 0.7265, kb_relative_information_score: 484.9086, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.867, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.2977, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.349, root_relative_squared_error: 0.7023, scimark_benchmark: 948.7078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.8422, kappa: 0.6809, kb_relative_information_score: 460.1075, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8425, predictive_accuracy: 0.842, prior_entropy: 0.9913, recall: 0.842, relative_absolute_error: 0.3337, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.7663, scimark_benchmark: 933.6906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 486.4396, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766, scimark_benchmark: 925.4558,

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