OpenML
Supervised Classification on vehicle

Supervised Classification on vehicle

Task 4562 Supervised Classification vehicle 211 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9518, kappa: 0.8738, kb_relative_information_score: 7065.4623, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9517, predictive_accuracy: 0.9519, prior_entropy: 0.8241, recall: 0.9519, relative_absolute_error: 0.1603, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.4685, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9588, kappa: 0.8919, kb_relative_information_score: 6352.3865, mean_absolute_error: 0.1027, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9587, predictive_accuracy: 0.959, prior_entropy: 0.8241, recall: 0.959, relative_absolute_error: 0.2682, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.438, scimark_benchmark: 972.587, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9599, kappa: 0.8951, kb_relative_information_score: 6830.8416, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9599, predictive_accuracy: 0.9599, prior_entropy: 0.8241, recall: 0.9599, relative_absolute_error: 0.2064, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.4101, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6325, kb_relative_information_score: 2144.2964, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.551, predictive_accuracy: 0.7423, prior_entropy: 0.8241, recall: 0.7423, relative_absolute_error: 0.6731, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.5076, root_relative_squared_error: 1.1607, scimark_benchmark: 916.0735, usercpu_time_millis: 390, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9432, kappa: 0.8525, kb_relative_information_score: 6890.3511, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9438, predictive_accuracy: 0.9429, prior_entropy: 0.8241, recall: 0.9429, relative_absolute_error: 0.1743, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.4689, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.971, kappa: 0.924, kb_relative_information_score: 7101.6891, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9709, predictive_accuracy: 0.971, prior_entropy: 0.8241, recall: 0.971, relative_absolute_error: 0.1736, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.3593, scimark_benchmark: 938.191, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9755, kappa: 0.9359, kb_relative_information_score: 7068.2267, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9755, predictive_accuracy: 0.9755, prior_entropy: 0.8241, recall: 0.9755, relative_absolute_error: 0.1828, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.3495, scimark_benchmark: 926.576, usercpu_time_millis: 12560, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 12410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9583, kappa: 0.8907, kb_relative_information_score: 7199.5923, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9582, predictive_accuracy: 0.9584, prior_entropy: 0.8241, recall: 0.9584, relative_absolute_error: 0.1482, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.4359, scimark_benchmark: 931.771, usercpu_time_millis: 890, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6325, kb_relative_information_score: 2144.2964, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.551, predictive_accuracy: 0.7423, prior_entropy: 0.8241, recall: 0.7423, relative_absolute_error: 0.6731, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.5076, root_relative_squared_error: 1.1607, scimark_benchmark: 936.3373, usercpu_time_millis: 370, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6325, kb_relative_information_score: 2144.2964, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.551, predictive_accuracy: 0.7423, prior_entropy: 0.8241, recall: 0.7423, relative_absolute_error: 0.6731, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.5076, root_relative_squared_error: 1.1607, scimark_benchmark: 947.1781, usercpu_time_millis: 380, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9856, kappa: 0.9622, kb_relative_information_score: 7462.0247, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9856, predictive_accuracy: 0.9856, prior_entropy: 0.8241, recall: 0.9856, relative_absolute_error: 0.1374, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1201, root_relative_squared_error: 0.2746, scimark_benchmark: 947.1781, usercpu_time_millis: 200, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9518, kappa: 0.8738, kb_relative_information_score: 7065.4623, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9517, predictive_accuracy: 0.9519, prior_entropy: 0.8241, recall: 0.9519, relative_absolute_error: 0.1603, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.4685, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9588, kappa: 0.8919, kb_relative_information_score: 6352.3865, mean_absolute_error: 0.1027, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9587, predictive_accuracy: 0.959, prior_entropy: 0.8241, recall: 0.959, relative_absolute_error: 0.2682, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.438, scimark_benchmark: 908.9569, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9599, kappa: 0.8951, kb_relative_information_score: 6830.8416, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9599, predictive_accuracy: 0.9599, prior_entropy: 0.8241, recall: 0.9599, relative_absolute_error: 0.2064, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.4101, scimark_benchmark: 936.2574, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6325, kb_relative_information_score: 2144.2964, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.551, predictive_accuracy: 0.7423, prior_entropy: 0.8241, recall: 0.7423, relative_absolute_error: 0.6731, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.5076, root_relative_squared_error: 1.1607, scimark_benchmark: 908.9569, usercpu_time_millis: 1530, usercpu_time_millis_testing: 770, usercpu_time_millis_training: 760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6325, kb_relative_information_score: 2144.2964, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.551, predictive_accuracy: 0.7423, prior_entropy: 0.8241, recall: 0.7423, relative_absolute_error: 0.6731, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.5076, root_relative_squared_error: 1.1607, scimark_benchmark: 730.6551, usercpu_time_millis: 1790, usercpu_time_millis_testing: 920, usercpu_time_millis_training: 870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9432, kappa: 0.8525, kb_relative_information_score: 6890.3511, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9438, predictive_accuracy: 0.9429, prior_entropy: 0.8241, recall: 0.9429, relative_absolute_error: 0.1743, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.4689, scimark_benchmark: 930.404, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9432, kappa: 0.8525, kb_relative_information_score: 6890.3511, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9438, predictive_accuracy: 0.9429, prior_entropy: 0.8241, recall: 0.9429, relative_absolute_error: 0.1743, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.4689, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9432, kappa: 0.8525, kb_relative_information_score: 6890.3511, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9438, predictive_accuracy: 0.9429, prior_entropy: 0.8241, recall: 0.9429, relative_absolute_error: 0.1743, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.4689, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9432, kappa: 0.8525, kb_relative_information_score: 6890.3511, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9438, predictive_accuracy: 0.9429, prior_entropy: 0.8241, recall: 0.9429, relative_absolute_error: 0.1743, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.4689, scimark_benchmark: 938.1282, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.971, kappa: 0.924, kb_relative_information_score: 7101.6891, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9709, predictive_accuracy: 0.971, prior_entropy: 0.8241, recall: 0.971, relative_absolute_error: 0.1736, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.3593, scimark_benchmark: 933.3455, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9755, kappa: 0.9359, kb_relative_information_score: 7068.2267, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9755, predictive_accuracy: 0.9755, prior_entropy: 0.8241, recall: 0.9755, relative_absolute_error: 0.1828, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.3495, scimark_benchmark: 931.7096, usercpu_time_millis: 18940, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 18750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9432, kappa: 0.8525, kb_relative_information_score: 6890.3511, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9438, predictive_accuracy: 0.9429, prior_entropy: 0.8241, recall: 0.9429, relative_absolute_error: 0.1743, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.4689, scimark_benchmark: 944.0133, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9583, kappa: 0.8907, kb_relative_information_score: 7199.5923, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9582, predictive_accuracy: 0.9584, prior_entropy: 0.8241, recall: 0.9584, relative_absolute_error: 0.1482, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.4359, scimark_benchmark: 941.3057, usercpu_time_millis: 950, usercpu_time_millis_training: 950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9856, kappa: 0.9622, kb_relative_information_score: 7462.0247, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9856, predictive_accuracy: 0.9856, prior_entropy: 0.8241, recall: 0.9856, relative_absolute_error: 0.1374, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1201, root_relative_squared_error: 0.2746, scimark_benchmark: 945.6228, usercpu_time_millis: 200, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9873, kappa: 0.9668, kb_relative_information_score: 7316.4613, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9873, predictive_accuracy: 0.9874, prior_entropy: 0.8241, recall: 0.9874, relative_absolute_error: 0.1644, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1208, root_relative_squared_error: 0.2762, scimark_benchmark: 917.5013, usercpu_time_millis: 7660, usercpu_time_millis_testing: 3070, usercpu_time_millis_training: 4590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.985, kappa: 0.9606, kb_relative_information_score: 7297.1113, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.985, predictive_accuracy: 0.985, prior_entropy: 0.8241, recall: 0.985, relative_absolute_error: 0.1655, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1245, root_relative_squared_error: 0.2846, scimark_benchmark: 905.2959, usercpu_time_millis: 1430, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 1130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9854, kappa: 0.9618, kb_relative_information_score: 7279.1202, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9854, predictive_accuracy: 0.9855, prior_entropy: 0.8241, recall: 0.9855, relative_absolute_error: 0.1661, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1283, root_relative_squared_error: 0.2934, scimark_benchmark: 910.2405, usercpu_time_millis: 780, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9811, kappa: 0.9505, kb_relative_information_score: 7256.7053, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9812, predictive_accuracy: 0.9812, prior_entropy: 0.8241, recall: 0.9812, relative_absolute_error: 0.1634, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.3102, scimark_benchmark: 942.5233, usercpu_time_millis: 380, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9599, kappa: 0.8951, kb_relative_information_score: 7309.6978, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9599, predictive_accuracy: 0.9599, prior_entropy: 0.8241, recall: 0.9599, relative_absolute_error: 0.1326, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.3915, scimark_benchmark: 930.0565, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9599, kappa: 0.8951, kb_relative_information_score: 7309.6978, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9599, predictive_accuracy: 0.9599, prior_entropy: 0.8241, recall: 0.9599, relative_absolute_error: 0.1326, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.3915, scimark_benchmark: 889.4922, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9599, kappa: 0.8951, kb_relative_information_score: 7309.6978, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9599, predictive_accuracy: 0.9599, prior_entropy: 0.8241, recall: 0.9599, relative_absolute_error: 0.1326, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.3915, scimark_benchmark: 941.9549, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9593, kappa: 0.8936, kb_relative_information_score: 7253.3416, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9593, predictive_accuracy: 0.9593, prior_entropy: 0.8241, recall: 0.9593, relative_absolute_error: 0.1402, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.3971, scimark_benchmark: 941.9549, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9493, kappa: 0.8676, kb_relative_information_score: 6781.8815, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9493, predictive_accuracy: 0.9493, prior_entropy: 0.8241, recall: 0.9493, relative_absolute_error: 0.2001, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.4431, scimark_benchmark: 941.9549, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9493, kappa: 0.8676, kb_relative_information_score: 6781.8815, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9493, predictive_accuracy: 0.9493, prior_entropy: 0.8241, recall: 0.9493, relative_absolute_error: 0.2001, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.4431, scimark_benchmark: 926.5859, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9709, kappa: 0.9239, kb_relative_information_score: 7716.2205, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9709, predictive_accuracy: 0.9709, prior_entropy: 0.8241, recall: 0.9709, relative_absolute_error: 0.0794, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.157, root_relative_squared_error: 0.3591, scimark_benchmark: 941.9549, usercpu_time_millis: 480, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 470,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.8685, kappa: 0.6556, kb_relative_information_score: 5220.0655, mean_absolute_error: 0.1322, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.8683, predictive_accuracy: 0.8687, prior_entropy: 0.8241, recall: 0.8687, relative_absolute_error: 0.3452, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.7747, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9432, kappa: 0.8525, kb_relative_information_score: 6890.3511, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9438, predictive_accuracy: 0.9429, prior_entropy: 0.8241, recall: 0.9429, relative_absolute_error: 0.1743, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.4689, scimark_benchmark: 1340.9749, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9432, kappa: 0.8525, kb_relative_information_score: 6890.3511, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9438, predictive_accuracy: 0.9429, prior_entropy: 0.8241, recall: 0.9429, relative_absolute_error: 0.1743, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.4689, scimark_benchmark: 1324.8408, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9432, kappa: 0.8525, kb_relative_information_score: 6890.3511, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9438, predictive_accuracy: 0.9429, prior_entropy: 0.8241, recall: 0.9429, relative_absolute_error: 0.1743, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.4689, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.8685, kappa: 0.6556, kb_relative_information_score: 5220.0655, mean_absolute_error: 0.1322, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.8683, predictive_accuracy: 0.8687, prior_entropy: 0.8241, recall: 0.8687, relative_absolute_error: 0.3452, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.7747, scimark_benchmark: 1350.2591, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9432, kappa: 0.8525, kb_relative_information_score: 6890.3511, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9438, predictive_accuracy: 0.9429, prior_entropy: 0.8241, recall: 0.9429, relative_absolute_error: 0.1743, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.4689, scimark_benchmark: 1350.2591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9518, kappa: 0.8738, kb_relative_information_score: 7065.4623, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9517, predictive_accuracy: 0.9519, prior_entropy: 0.8241, recall: 0.9519, relative_absolute_error: 0.1603, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.4685, scimark_benchmark: 1338.5214, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9588, kappa: 0.8919, kb_relative_information_score: 6352.3865, mean_absolute_error: 0.1027, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9587, predictive_accuracy: 0.959, prior_entropy: 0.8241, recall: 0.959, relative_absolute_error: 0.2682, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.438, scimark_benchmark: 1349.9643, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.8685, kappa: 0.6556, kb_relative_information_score: 5220.0655, mean_absolute_error: 0.1322, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.8683, predictive_accuracy: 0.8687, prior_entropy: 0.8241, recall: 0.8687, relative_absolute_error: 0.3452, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.7747, scimark_benchmark: 1347.1763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9432, kappa: 0.8525, kb_relative_information_score: 6890.3511, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9438, predictive_accuracy: 0.9429, prior_entropy: 0.8241, recall: 0.9429, relative_absolute_error: 0.1743, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.4689, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9432, kappa: 0.8525, kb_relative_information_score: 6890.3511, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9438, predictive_accuracy: 0.9429, prior_entropy: 0.8241, recall: 0.9429, relative_absolute_error: 0.1743, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.4689, scimark_benchmark: 1319.4538, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9755, kappa: 0.9359, kb_relative_information_score: 7068.2267, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9755, predictive_accuracy: 0.9755, prior_entropy: 0.8241, recall: 0.9755, relative_absolute_error: 0.1828, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.3495, scimark_benchmark: 1313.9976, usercpu_time_millis: 9610, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 9480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9432, kappa: 0.8525, kb_relative_information_score: 6890.3511, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9438, predictive_accuracy: 0.9429, prior_entropy: 0.8241, recall: 0.9429, relative_absolute_error: 0.1743, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.4689, scimark_benchmark: 1322.3407, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.8685, kappa: 0.6556, kb_relative_information_score: 5220.0655, mean_absolute_error: 0.1322, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.8683, predictive_accuracy: 0.8687, prior_entropy: 0.8241, recall: 0.8687, relative_absolute_error: 0.3452, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.7747, scimark_benchmark: 1337.3324, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9432, kappa: 0.8525, kb_relative_information_score: 6890.3511, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9438, predictive_accuracy: 0.9429, prior_entropy: 0.8241, recall: 0.9429, relative_absolute_error: 0.1743, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.4689, scimark_benchmark: 1337.1928, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9432, kappa: 0.8525, kb_relative_information_score: 6890.3511, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9438, predictive_accuracy: 0.9429, prior_entropy: 0.8241, recall: 0.9429, relative_absolute_error: 0.1743, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.4689, scimark_benchmark: 1332.9478, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9583, kappa: 0.8907, kb_relative_information_score: 7199.5923, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9582, predictive_accuracy: 0.9584, prior_entropy: 0.8241, recall: 0.9584, relative_absolute_error: 0.1482, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.4359, scimark_benchmark: 1358.6198, usercpu_time_millis: 880, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9856, kappa: 0.9622, kb_relative_information_score: 7462.0247, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9856, predictive_accuracy: 0.9856, prior_entropy: 0.8241, recall: 0.9856, relative_absolute_error: 0.1374, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1201, root_relative_squared_error: 0.2746, scimark_benchmark: 1350.8432, usercpu_time_millis: 170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9518, kappa: 0.8738, kb_relative_information_score: 7065.4623, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9517, predictive_accuracy: 0.9519, prior_entropy: 0.8241, recall: 0.9519, relative_absolute_error: 0.1603, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.4685, scimark_benchmark: 1313.8988, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9588, kappa: 0.8919, kb_relative_information_score: 6352.3865, mean_absolute_error: 0.1027, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9587, predictive_accuracy: 0.959, prior_entropy: 0.8241, recall: 0.959, relative_absolute_error: 0.2682, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.438, scimark_benchmark: 1320.1171, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9599, kappa: 0.8951, kb_relative_information_score: 6830.8416, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9599, predictive_accuracy: 0.9599, prior_entropy: 0.8241, recall: 0.9599, relative_absolute_error: 0.2064, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.4101, scimark_benchmark: 1321.8132, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6325, kb_relative_information_score: 2144.2964, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.551, predictive_accuracy: 0.7423, prior_entropy: 0.8241, recall: 0.7423, relative_absolute_error: 0.6731, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.5076, root_relative_squared_error: 1.1607, scimark_benchmark: 1327.6635, usercpu_time_millis: 540, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9432, kappa: 0.8525, kb_relative_information_score: 6890.3511, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9438, predictive_accuracy: 0.9429, prior_entropy: 0.8241, recall: 0.9429, relative_absolute_error: 0.1743, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.4689, scimark_benchmark: 1330.2425, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.971, kappa: 0.924, kb_relative_information_score: 7101.6891, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9709, predictive_accuracy: 0.971, prior_entropy: 0.8241, recall: 0.971, relative_absolute_error: 0.1736, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.3593, scimark_benchmark: 1325.6322, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6325, kb_relative_information_score: 2144.2964, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.551, predictive_accuracy: 0.7423, prior_entropy: 0.8241, recall: 0.7423, relative_absolute_error: 0.6731, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.5076, root_relative_squared_error: 1.1607, scimark_benchmark: 1348.2804, usercpu_time_millis: 560, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9583, kappa: 0.8907, kb_relative_information_score: 7199.5923, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9582, predictive_accuracy: 0.9584, prior_entropy: 0.8241, recall: 0.9584, relative_absolute_error: 0.1482, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.4359, scimark_benchmark: 1389.6576, usercpu_time_millis: 900, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9856, kappa: 0.9622, kb_relative_information_score: 7462.0247, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.3828, number_of_instances: 8460, precision: 0.9856, predictive_accuracy: 0.9856, prior_entropy: 0.8241, recall: 0.9856, relative_absolute_error: 0.1374, root_mean_prior_squared_error: 0.4374, root_mean_squared_error: 0.1201, root_relative_squared_error: 0.2746, scimark_benchmark: 1360.8502, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,

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