OpenML
Supervised Classification on vehicle

Supervised Classification on vehicle

Task 53 Supervised Classification vehicle 25333 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_218 study_41 study_50 study_7 study_70 study_98 study_99 under100k under1m
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25333 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9238, build_cpu_time: 0.2192, build_memory: 1024387643.1395, f_measure: 0.7523, kappa: 0.6737, kb_relative_information_score: 595.5809, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7504, predictive_accuracy: 0.7553, prior_entropy: 1.9991, recall: 0.7553, relative_absolute_error: 0.3396, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3053, root_relative_squared_error: 0.7052, scimark_benchmark: 926.4124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, build_cpu_time: 0.1702, build_memory: 1334875906.1655, f_measure: 0.7425, kappa: 0.6643, kb_relative_information_score: 581.368, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7384, predictive_accuracy: 0.7482, prior_entropy: 1.9991, recall: 0.7482, relative_absolute_error: 0.3635, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3052, root_relative_squared_error: 0.7049, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, build_cpu_time: 0.3919, build_memory: 721001439.0827, f_measure: 0.7312, kappa: 0.6565, kb_relative_information_score: 419.2032, mean_absolute_error: 0.2342, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7294, predictive_accuracy: 0.7423, prior_entropy: 1.9991, recall: 0.7423, relative_absolute_error: 0.6249, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3126, root_relative_squared_error: 0.722, scimark_benchmark: 939.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, build_cpu_time: 0.4104, build_memory: 762326896.3593, f_measure: 0.7312, kappa: 0.6565, kb_relative_information_score: 419.2032, mean_absolute_error: 0.2342, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7294, predictive_accuracy: 0.7423, prior_entropy: 1.9991, recall: 0.7423, relative_absolute_error: 0.6249, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3126, root_relative_squared_error: 0.722, scimark_benchmark: 926.9332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, build_cpu_time: 0.3695, build_memory: 1767061133.513, f_measure: 0.7312, kappa: 0.6565, kb_relative_information_score: 419.2032, mean_absolute_error: 0.2342, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7294, predictive_accuracy: 0.7423, prior_entropy: 1.9991, recall: 0.7423, relative_absolute_error: 0.6249, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3126, root_relative_squared_error: 0.722, scimark_benchmark: 929.9115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, build_cpu_time: 0.3897, build_memory: 1047921483.8676, f_measure: 0.7312, kappa: 0.6565, kb_relative_information_score: 419.2032, mean_absolute_error: 0.2342, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7294, predictive_accuracy: 0.7423, prior_entropy: 1.9991, recall: 0.7423, relative_absolute_error: 0.6249, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3126, root_relative_squared_error: 0.722, scimark_benchmark: 929.9115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, build_cpu_time: 0.3988, build_memory: 628532013.1253, f_measure: 0.7312, kappa: 0.6565, kb_relative_information_score: 419.2032, mean_absolute_error: 0.2342, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7294, predictive_accuracy: 0.7423, prior_entropy: 1.9991, recall: 0.7423, relative_absolute_error: 0.6249, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3126, root_relative_squared_error: 0.722, scimark_benchmark: 945.1987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.2983, kappa: 0.2075, kb_relative_information_score: 201.4591, mean_absolute_error: 0.3302, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.4248, predictive_accuracy: 0.4007, prior_entropy: 1.9991, recall: 0.4007, relative_absolute_error: 0.8809, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4209, root_relative_squared_error: 0.9721, scimark_benchmark: 788.8917, usercpu_time_millis: 870, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.709, kappa: 0.6249, kb_relative_information_score: 562.7967, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.707, predictive_accuracy: 0.7187, prior_entropy: 1.9991, recall: 0.7187, relative_absolute_error: 0.3958, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2977, root_relative_squared_error: 0.6878, scimark_benchmark: 945.6434, usercpu_time_millis: 110, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.7495, kappa: 0.6673, kb_relative_information_score: 598.9196, mean_absolute_error: 0.1246, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.749, predictive_accuracy: 0.7506, prior_entropy: 1.9991, recall: 0.7506, relative_absolute_error: 0.3325, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.7516, scimark_benchmark: 935.8834, usercpu_time_millis: 1380, usercpu_time_millis_training: 1380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.7494, kappa: 0.669, kb_relative_information_score: 600.7644, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7475, predictive_accuracy: 0.7518, prior_entropy: 1.9991, recall: 0.7518, relative_absolute_error: 0.3249, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.7731, scimark_benchmark: 923.9763, usercpu_time_millis: 2570, usercpu_time_millis_training: 2570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.7861, kappa: 0.7162, kb_relative_information_score: 629.6652, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7854, predictive_accuracy: 0.7872, prior_entropy: 1.9991, recall: 0.7872, relative_absolute_error: 0.2837, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.7508, scimark_benchmark: 1160.1034, usercpu_time_millis: 7120, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 6930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, f_measure: 0.7899, kappa: 0.7209, kb_relative_information_score: 633.7697, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7901, predictive_accuracy: 0.7908, prior_entropy: 1.9991, recall: 0.7908, relative_absolute_error: 0.2788, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.74, scimark_benchmark: 911.3823, usercpu_time_millis: 3600, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 3500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8852, f_measure: 0.7792, kappa: 0.7084, kb_relative_information_score: 625.6888, mean_absolute_error: 0.1084, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7787, predictive_accuracy: 0.7813, prior_entropy: 1.9991, recall: 0.7813, relative_absolute_error: 0.2892, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.324, root_relative_squared_error: 0.7485, scimark_benchmark: 940.2751, usercpu_time_millis: 1740, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.7465, kappa: 0.669, kb_relative_information_score: 560.2736, mean_absolute_error: 0.157, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7426, predictive_accuracy: 0.7518, prior_entropy: 1.9991, recall: 0.7518, relative_absolute_error: 0.4187, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2753, root_relative_squared_error: 0.636, scimark_benchmark: 929.566, usercpu_time_millis: 2320, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.7238, kappa: 0.6359, kb_relative_information_score: 557.9406, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.722, predictive_accuracy: 0.727, prior_entropy: 1.9991, recall: 0.727, relative_absolute_error: 0.4231, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2839, root_relative_squared_error: 0.6557, scimark_benchmark: 943.2817, usercpu_time_millis: 250, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.156, kappa: -0.0029, kb_relative_information_score: 81.9935, mean_absolute_error: 0.3723, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.1303, predictive_accuracy: 0.2553, prior_entropy: 1.9991, recall: 0.2553, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.6102, root_relative_squared_error: 1.4095, scimark_benchmark: 929.0255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.6873, kappa: 0.6031, kb_relative_information_score: 476.5865, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6814, predictive_accuracy: 0.7021, prior_entropy: 1.9991, recall: 0.7021, relative_absolute_error: 0.5368, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3039, root_relative_squared_error: 0.7019, scimark_benchmark: 929.0255, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4946, f_measure: 0.156, kappa: -0.0029, kb_relative_information_score: 0.2791, mean_absolute_error: 0.3748, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.1303, predictive_accuracy: 0.2553, prior_entropy: 1.9991, recall: 0.2553, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4329, root_relative_squared_error: 1, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.7452, kappa: 0.6659, kb_relative_information_score: 571.9164, mean_absolute_error: 0.1491, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7449, predictive_accuracy: 0.7494, prior_entropy: 1.9991, recall: 0.7494, relative_absolute_error: 0.3976, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2832, root_relative_squared_error: 0.6542, scimark_benchmark: 902.4773, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4946, f_measure: 0.156, kappa: -0.0029, kb_relative_information_score: 0.2791, mean_absolute_error: 0.3748, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.1303, predictive_accuracy: 0.2553, prior_entropy: 1.9991, recall: 0.2553, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4329, root_relative_squared_error: 1, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.6873, kappa: 0.6031, kb_relative_information_score: 476.5865, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6814, predictive_accuracy: 0.7021, prior_entropy: 1.9991, recall: 0.7021, relative_absolute_error: 0.5368, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3039, root_relative_squared_error: 0.7019, scimark_benchmark: 943.2817, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9241, f_measure: 0.7287, kappa: 0.6486, kb_relative_information_score: 538.0252, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7246, predictive_accuracy: 0.7364, prior_entropy: 1.9991, recall: 0.7364, relative_absolute_error: 0.4503, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2853, root_relative_squared_error: 0.659, scimark_benchmark: 933.8635, usercpu_time_millis: 320, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.748, kappa: 0.6706, kb_relative_information_score: 572.3954, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7445, predictive_accuracy: 0.753, prior_entropy: 1.9991, recall: 0.753, relative_absolute_error: 0.3948, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2782, root_relative_squared_error: 0.6427, scimark_benchmark: 910.8389, usercpu_time_millis: 440, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.7649, kappa: 0.6894, kb_relative_information_score: 595.254, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7631, predictive_accuracy: 0.7671, prior_entropy: 1.9991, recall: 0.7671, relative_absolute_error: 0.356, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2771, root_relative_squared_error: 0.64, scimark_benchmark: 938.2848, usercpu_time_millis: 890, usercpu_time_millis_training: 890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.7696, kappa: 0.6957, kb_relative_information_score: 613.4249, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7679, predictive_accuracy: 0.7719, prior_entropy: 1.9991, recall: 0.7719, relative_absolute_error: 0.3242, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2798, root_relative_squared_error: 0.6463, scimark_benchmark: 924.6116, usercpu_time_millis: 1830, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6399, f_measure: 0.3112, kappa: 0.2015, kb_relative_information_score: 168.4167, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.2814, predictive_accuracy: 0.396, prior_entropy: 1.9991, recall: 0.396, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.949, scimark_benchmark: 933.8635, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6399, f_measure: 0.3112, kappa: 0.2015, kb_relative_information_score: 168.4167, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.2814, predictive_accuracy: 0.396, prior_entropy: 1.9991, recall: 0.396, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.949, scimark_benchmark: 939.7623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6399, f_measure: 0.3112, kappa: 0.2015, kb_relative_information_score: 168.4167, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.2814, predictive_accuracy: 0.396, prior_entropy: 1.9991, recall: 0.396, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.949, scimark_benchmark: 922.9039, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6399, f_measure: 0.3112, kappa: 0.2015, kb_relative_information_score: 168.4167, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.2814, predictive_accuracy: 0.396, prior_entropy: 1.9991, recall: 0.396, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.949, scimark_benchmark: 936.6206, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6399, f_measure: 0.3112, kappa: 0.2015, kb_relative_information_score: 168.4167, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.2814, predictive_accuracy: 0.396, prior_entropy: 1.9991, recall: 0.396, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.949, scimark_benchmark: 942.1229, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7704, f_measure: 0.4083, kappa: 0.2666, kb_relative_information_score: 286.5988, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.4967, predictive_accuracy: 0.4456, prior_entropy: 1.9991, recall: 0.4456, relative_absolute_error: 0.7577, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4641, root_relative_squared_error: 1.072, scimark_benchmark: 939.7623, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7704, f_measure: 0.4083, kappa: 0.2666, kb_relative_information_score: 286.5988, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.4967, predictive_accuracy: 0.4456, prior_entropy: 1.9991, recall: 0.4456, relative_absolute_error: 0.7577, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4641, root_relative_squared_error: 1.072, scimark_benchmark: 911.0478, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7704, f_measure: 0.4083, kappa: 0.2666, kb_relative_information_score: 286.5988, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.4967, predictive_accuracy: 0.4456, prior_entropy: 1.9991, recall: 0.4456, relative_absolute_error: 0.7577, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4641, root_relative_squared_error: 1.072, scimark_benchmark: 945.6434, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7704, f_measure: 0.4083, kappa: 0.2666, kb_relative_information_score: 286.5988, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.4967, predictive_accuracy: 0.4456, prior_entropy: 1.9991, recall: 0.4456, relative_absolute_error: 0.7577, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4641, root_relative_squared_error: 1.072, scimark_benchmark: 945.6434, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7704, f_measure: 0.4083, kappa: 0.2666, kb_relative_information_score: 286.5988, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.4967, predictive_accuracy: 0.4456, prior_entropy: 1.9991, recall: 0.4456, relative_absolute_error: 0.7577, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4641, root_relative_squared_error: 1.072, scimark_benchmark: 945.6434, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.7019, kappa: 0.6043, kb_relative_information_score: 558.3486, mean_absolute_error: 0.1475, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7007, predictive_accuracy: 0.7033, prior_entropy: 1.9991, recall: 0.7033, relative_absolute_error: 0.3935, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.337, root_relative_squared_error: 0.7783, scimark_benchmark: 1054.3694, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4946, f_measure: 0.156, kappa: -0.0029, kb_relative_information_score: 0.2791, mean_absolute_error: 0.3748, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.1303, predictive_accuracy: 0.2553, prior_entropy: 1.9991, recall: 0.2553, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4329, root_relative_squared_error: 1, scimark_benchmark: 1054.3694,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.7209, kappa: 0.6424, kb_relative_information_score: 542.832, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.716, predictive_accuracy: 0.7317, prior_entropy: 1.9991, recall: 0.7317, relative_absolute_error: 0.4496, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2789, root_relative_squared_error: 0.6442, scimark_benchmark: 1372.5518, usercpu_time_millis: 1220, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.6873, kappa: 0.6031, kb_relative_information_score: 476.5865, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6814, predictive_accuracy: 0.7021, prior_entropy: 1.9991, recall: 0.7021, relative_absolute_error: 0.5368, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3039, root_relative_squared_error: 0.7019, scimark_benchmark: 1363.434, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, f_measure: 0.6835, kappa: 0.6063, kb_relative_information_score: 552.6201, mean_absolute_error: 0.1475, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6805, predictive_accuracy: 0.7045, prior_entropy: 1.9991, recall: 0.7045, relative_absolute_error: 0.3936, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.335, root_relative_squared_error: 0.7738, scimark_benchmark: 1341.7207, usercpu_time_millis: 460, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8792, f_measure: 0.6864, kappa: 0.59, kb_relative_information_score: 503.1035, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6824, predictive_accuracy: 0.6927, prior_entropy: 1.9991, recall: 0.6927, relative_absolute_error: 0.4895, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.7528, scimark_benchmark: 1342.6563, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.6205, kappa: 0.5258, kb_relative_information_score: 398.3019, mean_absolute_error: 0.239, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6139, predictive_accuracy: 0.6442, prior_entropy: 1.9991, recall: 0.6442, relative_absolute_error: 0.6377, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.7724, scimark_benchmark: 1335.693, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.706, f_measure: 0.3809, kappa: 0.2079, kb_relative_information_score: 222.4701, mean_absolute_error: 0.3211, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.4227, predictive_accuracy: 0.409, prior_entropy: 1.9991, recall: 0.409, relative_absolute_error: 0.8567, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.9271, scimark_benchmark: 1329.0992, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.6948, kappa: 0.6207, kb_relative_information_score: 556.4795, mean_absolute_error: 0.1424, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6996, predictive_accuracy: 0.7151, prior_entropy: 1.9991, recall: 0.7151, relative_absolute_error: 0.38, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3774, root_relative_squared_error: 0.8718, scimark_benchmark: 1341.994, usercpu_time_millis: 1800, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.7997, kappa: 0.7335, kb_relative_information_score: 632.7961, mean_absolute_error: 0.1178, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7991, predictive_accuracy: 0.8002, prior_entropy: 1.9991, recall: 0.8002, relative_absolute_error: 0.3143, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.5888, scimark_benchmark: 1348.8402, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9462, f_measure: 0.7939, kappa: 0.7303, kb_relative_information_score: 644.3741, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.794, predictive_accuracy: 0.7979, prior_entropy: 1.9991, recall: 0.7979, relative_absolute_error: 0.2785, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2764, root_relative_squared_error: 0.6384, scimark_benchmark: 1413.089, usercpu_time_millis: 2850, usercpu_time_millis_training: 2850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8583, f_measure: 0.6078, kappa: 0.5149, kb_relative_information_score: 329.3039, mean_absolute_error: 0.2749, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6035, predictive_accuracy: 0.6359, prior_entropy: 1.9991, recall: 0.6359, relative_absolute_error: 0.7334, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3486, root_relative_squared_error: 0.8053, scimark_benchmark: 1334.9657, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7704, f_measure: 0.4083, kappa: 0.2666, kb_relative_information_score: 286.5988, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.4967, predictive_accuracy: 0.4456, prior_entropy: 1.9991, recall: 0.4456, relative_absolute_error: 0.7577, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4641, root_relative_squared_error: 1.072, scimark_benchmark: 1350.9691, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, f_measure: 0.4278, kappa: 0.2853, kb_relative_information_score: 296.9708, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.5295, predictive_accuracy: 0.4598, prior_entropy: 1.9991, recall: 0.4598, relative_absolute_error: 0.7456, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4584, root_relative_squared_error: 1.0588, scimark_benchmark: 1343.4572, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, f_measure: 0.6949, kappa: 0.6013, kb_relative_information_score: 531.1537, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6907, predictive_accuracy: 0.7009, prior_entropy: 1.9991, recall: 0.7009, relative_absolute_error: 0.4392, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.7469, scimark_benchmark: 922.1419, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8096, f_measure: 0.6316, kappa: 0.5142, kb_relative_information_score: 471.8397, mean_absolute_error: 0.1941, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6385, predictive_accuracy: 0.6359, prior_entropy: 1.9991, recall: 0.6359, relative_absolute_error: 0.5179, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3755, root_relative_squared_error: 0.8674, scimark_benchmark: 1337.2572, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.6982, kappa: 0.6139, kb_relative_information_score: 554.5851, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6946, predictive_accuracy: 0.7104, prior_entropy: 1.9991, recall: 0.7104, relative_absolute_error: 0.4065, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.303, root_relative_squared_error: 0.7, scimark_benchmark: 1205.8291, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, f_measure: 0.713, kappa: 0.6313, kb_relative_information_score: 537.1402, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7079, predictive_accuracy: 0.7234, prior_entropy: 1.9991, recall: 0.7234, relative_absolute_error: 0.4506, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2869, root_relative_squared_error: 0.6626, scimark_benchmark: 1337.6765, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9277, f_measure: 0.7252, kappa: 0.647, kb_relative_information_score: 543.0089, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7207, predictive_accuracy: 0.7352, prior_entropy: 1.9991, recall: 0.7352, relative_absolute_error: 0.4475, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2795, root_relative_squared_error: 0.6457, scimark_benchmark: 1351.6526, usercpu_time_millis: 350, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.7649, kappa: 0.6894, kb_relative_information_score: 595.2522, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7631, predictive_accuracy: 0.7671, prior_entropy: 1.9991, recall: 0.7671, relative_absolute_error: 0.356, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2771, root_relative_squared_error: 0.64, scimark_benchmark: 1332.576, usercpu_time_millis: 550, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.929, f_measure: 0.7089, kappa: 0.6346, kb_relative_information_score: 507.9683, mean_absolute_error: 0.1903, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7079, predictive_accuracy: 0.7258, prior_entropy: 1.9991, recall: 0.7258, relative_absolute_error: 0.5077, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2841, root_relative_squared_error: 0.6563, scimark_benchmark: 1311.9814, usercpu_time_millis: 430, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7744, f_measure: 0.4274, kappa: 0.2821, kb_relative_information_score: 294.4124, mean_absolute_error: 0.2807, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.521, predictive_accuracy: 0.4574, prior_entropy: 1.9991, recall: 0.4574, relative_absolute_error: 0.749, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4599, root_relative_squared_error: 1.0622, scimark_benchmark: 1311.1837, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7257, f_measure: 0.2489, kappa: 0.099, kb_relative_information_score: 42.3577, mean_absolute_error: 0.3661, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.5709, predictive_accuracy: 0.3251, prior_entropy: 1.9991, recall: 0.3251, relative_absolute_error: 0.9766, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4239, root_relative_squared_error: 0.9791, scimark_benchmark: 1327.3602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.7101, kappa: 0.6184, kb_relative_information_score: 552.9307, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7073, predictive_accuracy: 0.7139, prior_entropy: 1.9991, recall: 0.7139, relative_absolute_error: 0.3848, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.8713, scimark_benchmark: 1331.5882, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8866, f_measure: 0.7014, kappa: 0.6122, kb_relative_information_score: 545.406, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.696, predictive_accuracy: 0.7092, prior_entropy: 1.9991, recall: 0.7092, relative_absolute_error: 0.4032, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.8232, scimark_benchmark: 1327.9121, usercpu_time_millis: 5550, usercpu_time_millis_testing: 5550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8096, f_measure: 0.6316, kappa: 0.5142, kb_relative_information_score: 471.8397, mean_absolute_error: 0.1941, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6385, predictive_accuracy: 0.6359, prior_entropy: 1.9991, recall: 0.6359, relative_absolute_error: 0.5179, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3755, root_relative_squared_error: 0.8674, scimark_benchmark: 1327.3602, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5278, f_measure: 0.1831, kappa: 0.0556, kb_relative_information_score: 125.3856, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.5612, predictive_accuracy: 0.2979, prior_entropy: 1.9991, recall: 0.2979, relative_absolute_error: 0.9366, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.5925, root_relative_squared_error: 1.3686, scimark_benchmark: 935.5075, usercpu_time_millis: 520, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.8285, kappa: 0.773, kb_relative_information_score: 655.8048, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8275, predictive_accuracy: 0.8298, prior_entropy: 1.9991, recall: 0.8298, relative_absolute_error: 0.28, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2372, root_relative_squared_error: 0.548, scimark_benchmark: 1337.0272, usercpu_time_millis: 3340, usercpu_time_millis_training: 3340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, f_measure: 0.7024, kappa: 0.6075, kb_relative_information_score: 560.3539, mean_absolute_error: 0.1463, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6997, predictive_accuracy: 0.7057, prior_entropy: 1.9991, recall: 0.7057, relative_absolute_error: 0.3903, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.7773, scimark_benchmark: 1347.388, usercpu_time_millis: 40, usercpu_time_millis_training: 40,

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