OpenML
Supervised Classification on page-blocks

Supervised Classification on page-blocks

Task 30 Supervised Classification page-blocks 1403 runs submitted
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  • at2 basic study_1 study_107 study_41 study_50 study_7 study_70 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.9081, kappa: 0.4585, kb_relative_information_score: -16921.7548, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9284, predictive_accuracy: 0.9286, prior_entropy: 0.6391, recall: 0.9286, relative_absolute_error: 3.2009, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.322, root_relative_squared_error: 1.6526, scimark_benchmark: 969.4722, usercpu_time_millis: 290, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.9081, kappa: 0.4585, kb_relative_information_score: -16921.7548, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9284, predictive_accuracy: 0.9286, prior_entropy: 0.6391, recall: 0.9286, relative_absolute_error: 3.2009, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.322, root_relative_squared_error: 1.6526, scimark_benchmark: 1170.8798, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.9081, kappa: 0.4585, kb_relative_information_score: -16921.7548, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9284, predictive_accuracy: 0.9286, prior_entropy: 0.6391, recall: 0.9286, relative_absolute_error: 3.2009, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.322, root_relative_squared_error: 1.6526, scimark_benchmark: 968.7856, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.9081, kappa: 0.4585, kb_relative_information_score: -16921.7548, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9284, predictive_accuracy: 0.9286, prior_entropy: 0.6391, recall: 0.9286, relative_absolute_error: 3.2009, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.322, root_relative_squared_error: 1.6526, scimark_benchmark: 966.7072, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.9081, kappa: 0.4585, kb_relative_information_score: -16921.7548, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9284, predictive_accuracy: 0.9286, prior_entropy: 0.6391, recall: 0.9286, relative_absolute_error: 3.2009, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.322, root_relative_squared_error: 1.6526, scimark_benchmark: 977.4178, usercpu_time_millis: 270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.9081, kappa: 0.4585, kb_relative_information_score: -16921.7548, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9284, predictive_accuracy: 0.9286, prior_entropy: 0.6391, recall: 0.9286, relative_absolute_error: 3.2009, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.322, root_relative_squared_error: 1.6526, scimark_benchmark: 1900.6429, usercpu_time_millis: 160, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.9081, kappa: 0.4585, kb_relative_information_score: -16921.7548, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9284, predictive_accuracy: 0.9286, prior_entropy: 0.6391, recall: 0.9286, relative_absolute_error: 3.2009, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.322, root_relative_squared_error: 1.6526, scimark_benchmark: 1878.4554, usercpu_time_millis: 160, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.9081, kappa: 0.4585, kb_relative_information_score: -16921.7548, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9284, predictive_accuracy: 0.9286, prior_entropy: 0.6391, recall: 0.9286, relative_absolute_error: 3.2009, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.322, root_relative_squared_error: 1.6526, scimark_benchmark: 981.9063, usercpu_time_millis: 300, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.9081, kappa: 0.4585, kb_relative_information_score: -16921.7548, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9284, predictive_accuracy: 0.9286, prior_entropy: 0.6391, recall: 0.9286, relative_absolute_error: 3.2009, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.322, root_relative_squared_error: 1.6526, scimark_benchmark: 931.4205, usercpu_time_millis: 330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.9081, kappa: 0.4585, kb_relative_information_score: -16921.7548, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9284, predictive_accuracy: 0.9286, prior_entropy: 0.6391, recall: 0.9286, relative_absolute_error: 3.2009, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.322, root_relative_squared_error: 1.6526, scimark_benchmark: 944.5487, usercpu_time_millis: 250, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.9081, kappa: 0.4585, kb_relative_information_score: -16921.7548, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9284, predictive_accuracy: 0.9286, prior_entropy: 0.6391, recall: 0.9286, relative_absolute_error: 3.2009, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.322, root_relative_squared_error: 1.6526, scimark_benchmark: 1149.5029, usercpu_time_millis: 270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.9081, kappa: 0.4585, kb_relative_information_score: -16921.7548, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9284, predictive_accuracy: 0.9286, prior_entropy: 0.6391, recall: 0.9286, relative_absolute_error: 3.2009, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.322, root_relative_squared_error: 1.6526, scimark_benchmark: 976.0199, usercpu_time_millis: 270, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.9081, kappa: 0.4585, kb_relative_information_score: -16921.7548, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9284, predictive_accuracy: 0.9286, prior_entropy: 0.6391, recall: 0.9286, relative_absolute_error: 3.2009, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.322, root_relative_squared_error: 1.6526, scimark_benchmark: 1282.0222, usercpu_time_millis: 270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.9081, kappa: 0.4585, kb_relative_information_score: -16921.7548, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9284, predictive_accuracy: 0.9286, prior_entropy: 0.6391, recall: 0.9286, relative_absolute_error: 3.2009, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.322, root_relative_squared_error: 1.6526, scimark_benchmark: 1890.6114, usercpu_time_millis: 150, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.9081, kappa: 0.4585, kb_relative_information_score: -16921.7548, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9284, predictive_accuracy: 0.9286, prior_entropy: 0.6391, recall: 0.9286, relative_absolute_error: 3.2009, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.322, root_relative_squared_error: 1.6526, scimark_benchmark: 1309.7216, usercpu_time_millis: 300, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.9081, kappa: 0.4585, kb_relative_information_score: -16921.7548, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9284, predictive_accuracy: 0.9286, prior_entropy: 0.6391, recall: 0.9286, relative_absolute_error: 3.2009, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.322, root_relative_squared_error: 1.6526, scimark_benchmark: 1484.6774, usercpu_time_millis: 140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.9081, kappa: 0.4585, kb_relative_information_score: -16921.7548, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9284, predictive_accuracy: 0.9286, prior_entropy: 0.6391, recall: 0.9286, relative_absolute_error: 3.2009, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.322, root_relative_squared_error: 1.6526, scimark_benchmark: 976.4942, usercpu_time_millis: 250, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.9081, kappa: 0.4585, kb_relative_information_score: -16921.7548, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9284, predictive_accuracy: 0.9286, prior_entropy: 0.6391, recall: 0.9286, relative_absolute_error: 3.2009, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.322, root_relative_squared_error: 1.6526, scimark_benchmark: 967.0575, usercpu_time_millis: 260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.9081, kappa: 0.4585, kb_relative_information_score: -16921.7548, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9284, predictive_accuracy: 0.9286, prior_entropy: 0.6391, recall: 0.9286, relative_absolute_error: 3.2009, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.322, root_relative_squared_error: 1.6526, scimark_benchmark: 1063.6608, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.9081, kappa: 0.4585, kb_relative_information_score: -16921.7548, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9284, predictive_accuracy: 0.9286, prior_entropy: 0.6391, recall: 0.9286, relative_absolute_error: 3.2009, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.322, root_relative_squared_error: 1.6526, scimark_benchmark: 1012.4287, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.9081, kappa: 0.4585, kb_relative_information_score: -16921.7548, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9284, predictive_accuracy: 0.9286, prior_entropy: 0.6391, recall: 0.9286, relative_absolute_error: 3.2009, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.322, root_relative_squared_error: 1.6526, scimark_benchmark: 968.7558, usercpu_time_millis: 260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.9081, kappa: 0.4585, kb_relative_information_score: -16921.7548, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9284, predictive_accuracy: 0.9286, prior_entropy: 0.6391, recall: 0.9286, relative_absolute_error: 3.2009, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.322, root_relative_squared_error: 1.6526, scimark_benchmark: 1874.3358, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.9081, kappa: 0.4585, kb_relative_information_score: -16921.7548, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9284, predictive_accuracy: 0.9286, prior_entropy: 0.6391, recall: 0.9286, relative_absolute_error: 3.2009, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.322, root_relative_squared_error: 1.6526, scimark_benchmark: 1389.1453, usercpu_time_millis: 190, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.9081, kappa: 0.4585, kb_relative_information_score: -16921.7548, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9284, predictive_accuracy: 0.9286, prior_entropy: 0.6391, recall: 0.9286, relative_absolute_error: 3.2009, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.322, root_relative_squared_error: 1.6526, scimark_benchmark: 962.6468, usercpu_time_millis: 280, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.9081, kappa: 0.4585, kb_relative_information_score: -16921.7548, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9284, predictive_accuracy: 0.9286, prior_entropy: 0.6391, recall: 0.9286, relative_absolute_error: 3.2009, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.322, root_relative_squared_error: 1.6526, scimark_benchmark: 1087.021, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.9081, kappa: 0.4585, kb_relative_information_score: -16921.7548, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9284, predictive_accuracy: 0.9286, prior_entropy: 0.6391, recall: 0.9286, relative_absolute_error: 3.2009, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.322, root_relative_squared_error: 1.6526, scimark_benchmark: 965.0584, usercpu_time_millis: 260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.9081, kappa: 0.4585, kb_relative_information_score: -16921.7548, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9284, predictive_accuracy: 0.9286, prior_entropy: 0.6391, recall: 0.9286, relative_absolute_error: 3.2009, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.322, root_relative_squared_error: 1.6526, scimark_benchmark: 1270.6108, usercpu_time_millis: 240, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.9081, kappa: 0.4585, kb_relative_information_score: -16921.7548, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9284, predictive_accuracy: 0.9286, prior_entropy: 0.6391, recall: 0.9286, relative_absolute_error: 3.2009, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.322, root_relative_squared_error: 1.6526, scimark_benchmark: 1347.6012, usercpu_time_millis: 200, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.9081, kappa: 0.4585, kb_relative_information_score: -16921.7548, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9284, predictive_accuracy: 0.9286, prior_entropy: 0.6391, recall: 0.9286, relative_absolute_error: 3.2009, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.322, root_relative_squared_error: 1.6526, scimark_benchmark: 974.4491, usercpu_time_millis: 250, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.9081, kappa: 0.4585, kb_relative_information_score: -16921.7548, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9284, predictive_accuracy: 0.9286, prior_entropy: 0.6391, recall: 0.9286, relative_absolute_error: 3.2009, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.322, root_relative_squared_error: 1.6526, scimark_benchmark: 1057.9759, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.9081, kappa: 0.4585, kb_relative_information_score: -16921.7548, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9284, predictive_accuracy: 0.9286, prior_entropy: 0.6391, recall: 0.9286, relative_absolute_error: 3.2009, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.322, root_relative_squared_error: 1.6526, scimark_benchmark: 978.3157, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.9081, kappa: 0.4585, kb_relative_information_score: -16921.7548, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9284, predictive_accuracy: 0.9286, prior_entropy: 0.6391, recall: 0.9286, relative_absolute_error: 3.2009, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.322, root_relative_squared_error: 1.6526, scimark_benchmark: 1250.3793, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.9081, kappa: 0.4585, kb_relative_information_score: -16921.7548, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9284, predictive_accuracy: 0.9286, prior_entropy: 0.6391, recall: 0.9286, relative_absolute_error: 3.2009, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.322, root_relative_squared_error: 1.6526, scimark_benchmark: 1969.371, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.9081, kappa: 0.4585, kb_relative_information_score: -16921.7548, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9284, predictive_accuracy: 0.9286, prior_entropy: 0.6391, recall: 0.9286, relative_absolute_error: 3.2009, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.322, root_relative_squared_error: 1.6526, scimark_benchmark: 1925.9719, usercpu_time_millis: 160, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 140,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.9081, kappa: 0.4585, kb_relative_information_score: -16921.7548, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9284, predictive_accuracy: 0.9286, prior_entropy: 0.6391, recall: 0.9286, relative_absolute_error: 3.2009, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.322, root_relative_squared_error: 1.6526, scimark_benchmark: 1099.0711, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.9081, kappa: 0.4585, kb_relative_information_score: -16921.7548, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9284, predictive_accuracy: 0.9286, prior_entropy: 0.6391, recall: 0.9286, relative_absolute_error: 3.2009, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.322, root_relative_squared_error: 1.6526, scimark_benchmark: 1402.8253, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.9081, kappa: 0.4585, kb_relative_information_score: -16921.7548, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9284, predictive_accuracy: 0.9286, prior_entropy: 0.6391, recall: 0.9286, relative_absolute_error: 3.2009, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.322, root_relative_squared_error: 1.6526, scimark_benchmark: 1371.8392, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.9081, kappa: 0.4585, kb_relative_information_score: -16921.7548, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9284, predictive_accuracy: 0.9286, prior_entropy: 0.6391, recall: 0.9286, relative_absolute_error: 3.2009, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.322, root_relative_squared_error: 1.6526, scimark_benchmark: 1344.1001, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.9081, kappa: 0.4585, kb_relative_information_score: -16921.7548, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9284, predictive_accuracy: 0.9286, prior_entropy: 0.6391, recall: 0.9286, relative_absolute_error: 3.2009, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.322, root_relative_squared_error: 1.6526, scimark_benchmark: 1438.3434, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.9081, kappa: 0.4585, kb_relative_information_score: -16921.7548, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9284, predictive_accuracy: 0.9286, prior_entropy: 0.6391, recall: 0.9286, relative_absolute_error: 3.2009, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.322, root_relative_squared_error: 1.6526, scimark_benchmark: 1327.0275, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.9081, kappa: 0.4585, kb_relative_information_score: -16921.7548, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9284, predictive_accuracy: 0.9286, prior_entropy: 0.6391, recall: 0.9286, relative_absolute_error: 3.2009, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.322, root_relative_squared_error: 1.6526, scimark_benchmark: 1321.6096, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.9081, kappa: 0.4585, kb_relative_information_score: -16921.7548, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9284, predictive_accuracy: 0.9286, prior_entropy: 0.6391, recall: 0.9286, relative_absolute_error: 3.2009, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.322, root_relative_squared_error: 1.6526, scimark_benchmark: 1281.1583, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.9081, kappa: 0.4585, kb_relative_information_score: -16921.7548, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9284, predictive_accuracy: 0.9286, prior_entropy: 0.6391, recall: 0.9286, relative_absolute_error: 3.2009, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.322, root_relative_squared_error: 1.6526, scimark_benchmark: 1282.5557, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.9081, kappa: 0.4585, kb_relative_information_score: -16921.7548, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9284, predictive_accuracy: 0.9286, prior_entropy: 0.6391, recall: 0.9286, relative_absolute_error: 3.2009, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.322, root_relative_squared_error: 1.6526, scimark_benchmark: 1754.5441, usercpu_time_millis: 140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 120,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8892, f_measure: 0.912, kappa: 0.5795, kb_relative_information_score: 2463.4327, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.8941, predictive_accuracy: 0.9313, prior_entropy: 0.6391, recall: 0.9313, relative_absolute_error: 0.3635, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.849, scimark_benchmark: 1371.0667, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9719, kappa: 0.8521, kb_relative_information_score: 4306.986, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9716, predictive_accuracy: 0.9724, prior_entropy: 0.6391, recall: 0.9724, relative_absolute_error: 0.2127, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.0954, root_relative_squared_error: 0.4897, scimark_benchmark: 1297.0884, usercpu_time_millis: 1290, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 1090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.9702, kappa: 0.8428, kb_relative_information_score: 4375.1588, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9699, predictive_accuracy: 0.9713, prior_entropy: 0.6391, recall: 0.9713, relative_absolute_error: 0.1524, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1044, root_relative_squared_error: 0.536, scimark_benchmark: 1297.4778, usercpu_time_millis: 560, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.9716, kappa: 0.8502, kb_relative_information_score: 4396.0217, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9713, predictive_accuracy: 0.972, prior_entropy: 0.6391, recall: 0.972, relative_absolute_error: 0.1443, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1038, root_relative_squared_error: 0.5327, scimark_benchmark: 1317.8739, usercpu_time_millis: 600, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.973, kappa: 0.8568, kb_relative_information_score: 4431.4249, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9728, predictive_accuracy: 0.9735, prior_entropy: 0.6391, recall: 0.9735, relative_absolute_error: 0.1406, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1016, root_relative_squared_error: 0.5217, scimark_benchmark: 1164.1418, usercpu_time_millis: 1740, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.9353, kappa: 0.6563, kb_relative_information_score: 3278.0381, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9362, predictive_accuracy: 0.9435, prior_entropy: 0.6391, recall: 0.9435, relative_absolute_error: 0.297, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.7342, scimark_benchmark: 1347.4971, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.9726, kappa: 0.8557, kb_relative_information_score: 4443.624, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9725, predictive_accuracy: 0.973, prior_entropy: 0.6391, recall: 0.973, relative_absolute_error: 0.1399, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1007, root_relative_squared_error: 0.5168, scimark_benchmark: 1241.5684, usercpu_time_millis: 7070, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 7040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.959, kappa: 0.7796, kb_relative_information_score: 3858.9382, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9585, predictive_accuracy: 0.9602, prior_entropy: 0.6391, recall: 0.9602, relative_absolute_error: 0.2093, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.1262, root_relative_squared_error: 0.6478, scimark_benchmark: 1405.1694, usercpu_time_millis: 50970, usercpu_time_millis_testing: 18530, usercpu_time_millis_training: 32440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.9152, kappa: 0.5588, kb_relative_information_score: 1415.7471, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.0762, number_of_instances: 5473, precision: 0.9384, predictive_accuracy: 0.9021, prior_entropy: 0.6391, recall: 0.9021, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.1949, root_mean_squared_error: 0.188, root_relative_squared_error: 0.9648, scimark_benchmark: 1281.7559, usercpu_time_millis: 1790, usercpu_time_millis_testing: 560, usercpu_time_millis_training: 1230,

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