OpenML
Supervised Classification on Australian

Supervised Classification on Australian

Task 3032 Supervised Classification Australian 206 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.8663, kappa: 0.729, kb_relative_information_score: 4346.8111, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8664, predictive_accuracy: 0.8665, prior_entropy: 0.9913, recall: 0.8665, relative_absolute_error: 0.3978, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.326, root_relative_squared_error: 0.656, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8502, kappa: 0.6964, kb_relative_information_score: 3656.759, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8502, predictive_accuracy: 0.8504, prior_entropy: 0.9913, recall: 0.8504, relative_absolute_error: 0.5073, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.6622, scimark_benchmark: 972.587, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.849, kappa: 0.6944, kb_relative_information_score: 4310.311, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.849, predictive_accuracy: 0.849, prior_entropy: 0.9913, recall: 0.849, relative_absolute_error: 0.3938, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3231, root_relative_squared_error: 0.6501, scimark_benchmark: 851.2074, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8618, f_measure: 0.8553, kappa: 0.7113, kb_relative_information_score: 4862.3607, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.866, predictive_accuracy: 0.8549, prior_entropy: 0.9913, recall: 0.8549, relative_absolute_error: 0.2937, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.7664, scimark_benchmark: 904.6764, usercpu_time_millis: 110, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8618, f_measure: 0.8553, kappa: 0.7113, kb_relative_information_score: 4862.3607, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.866, predictive_accuracy: 0.8549, prior_entropy: 0.9913, recall: 0.8549, relative_absolute_error: 0.2937, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.7664, scimark_benchmark: 931.771, usercpu_time_millis: 130, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8578, kappa: 0.7113, kb_relative_information_score: 4576.4928, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8589, predictive_accuracy: 0.8584, prior_entropy: 0.9913, recall: 0.8584, relative_absolute_error: 0.349, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6605, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8578, kappa: 0.7113, kb_relative_information_score: 4576.4928, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8589, predictive_accuracy: 0.8584, prior_entropy: 0.9913, recall: 0.8584, relative_absolute_error: 0.349, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6605, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.8644, kappa: 0.7261, kb_relative_information_score: 4419.9811, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8651, predictive_accuracy: 0.8642, prior_entropy: 0.9913, recall: 0.8642, relative_absolute_error: 0.3807, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3111, root_relative_squared_error: 0.626, scimark_benchmark: 941.6675, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.868, kappa: 0.733, kb_relative_information_score: 4442.178, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8682, predictive_accuracy: 0.8678, prior_entropy: 0.9913, recall: 0.8678, relative_absolute_error: 0.3784, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3098, root_relative_squared_error: 0.6234, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8578, kappa: 0.7113, kb_relative_information_score: 4576.4928, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8589, predictive_accuracy: 0.8584, prior_entropy: 0.9913, recall: 0.8584, relative_absolute_error: 0.349, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6605, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8618, f_measure: 0.8553, kappa: 0.7113, kb_relative_information_score: 4862.3607, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.866, predictive_accuracy: 0.8549, prior_entropy: 0.9913, recall: 0.8549, relative_absolute_error: 0.2937, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.7664, scimark_benchmark: 947.1781, usercpu_time_millis: 110, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.8416, kappa: 0.679, kb_relative_information_score: 4212.7415, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8417, predictive_accuracy: 0.8419, prior_entropy: 0.9913, recall: 0.8419, relative_absolute_error: 0.4057, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3462, root_relative_squared_error: 0.6967, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.8681, kappa: 0.7334, kb_relative_information_score: 4266.0388, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8685, predictive_accuracy: 0.868, prior_entropy: 0.9913, recall: 0.868, relative_absolute_error: 0.4096, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6237, scimark_benchmark: 947.1781, usercpu_time_millis: 360, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.8663, kappa: 0.729, kb_relative_information_score: 4346.8111, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8664, predictive_accuracy: 0.8665, prior_entropy: 0.9913, recall: 0.8665, relative_absolute_error: 0.3978, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.326, root_relative_squared_error: 0.656, scimark_benchmark: 819.5729, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8502, kappa: 0.6964, kb_relative_information_score: 3656.759, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8502, predictive_accuracy: 0.8504, prior_entropy: 0.9913, recall: 0.8504, relative_absolute_error: 0.5073, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.6622, scimark_benchmark: 935.2002, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.849, kappa: 0.6944, kb_relative_information_score: 4310.311, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.849, predictive_accuracy: 0.849, prior_entropy: 0.9913, recall: 0.849, relative_absolute_error: 0.3938, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3231, root_relative_squared_error: 0.6501, scimark_benchmark: 906.5979, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8618, f_measure: 0.8553, kappa: 0.7113, kb_relative_information_score: 4862.3607, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.866, predictive_accuracy: 0.8549, prior_entropy: 0.9913, recall: 0.8549, relative_absolute_error: 0.2937, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.7664, scimark_benchmark: 908.9569, usercpu_time_millis: 140, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8618, f_measure: 0.8553, kappa: 0.7113, kb_relative_information_score: 4862.3607, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.866, predictive_accuracy: 0.8549, prior_entropy: 0.9913, recall: 0.8549, relative_absolute_error: 0.2937, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.7664, scimark_benchmark: 919.3788, usercpu_time_millis: 160, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.8543, kappa: 0.7043, kb_relative_information_score: 4629.1121, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8557, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.3371, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.6776, 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: 0.9184, f_measure: 0.8578, kappa: 0.7113, kb_relative_information_score: 4576.4928, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8589, predictive_accuracy: 0.8584, prior_entropy: 0.9913, recall: 0.8584, relative_absolute_error: 0.349, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6605, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8578, kappa: 0.7113, kb_relative_information_score: 4576.4928, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8589, predictive_accuracy: 0.8584, prior_entropy: 0.9913, recall: 0.8584, relative_absolute_error: 0.349, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6605, 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: 0.9304, f_measure: 0.8644, kappa: 0.7261, kb_relative_information_score: 4419.9811, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8651, predictive_accuracy: 0.8642, prior_entropy: 0.9913, recall: 0.8642, relative_absolute_error: 0.3807, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3111, root_relative_squared_error: 0.626, scimark_benchmark: 933.3455, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.868, kappa: 0.733, kb_relative_information_score: 4442.178, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8682, predictive_accuracy: 0.8678, prior_entropy: 0.9913, recall: 0.8678, relative_absolute_error: 0.3784, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3098, root_relative_squared_error: 0.6234, scimark_benchmark: 936.9595, usercpu_time_millis: 3930, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 3800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8578, kappa: 0.7113, kb_relative_information_score: 4576.4928, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8589, predictive_accuracy: 0.8584, prior_entropy: 0.9913, recall: 0.8584, relative_absolute_error: 0.349, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6605, scimark_benchmark: 944.0133, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.8416, kappa: 0.679, kb_relative_information_score: 4212.7415, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8417, predictive_accuracy: 0.8419, prior_entropy: 0.9913, recall: 0.8419, relative_absolute_error: 0.4057, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3462, root_relative_squared_error: 0.6967, scimark_benchmark: 934.695, usercpu_time_millis: 510, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.8681, kappa: 0.7334, kb_relative_information_score: 4266.0388, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8685, predictive_accuracy: 0.868, prior_entropy: 0.9913, recall: 0.868, relative_absolute_error: 0.4096, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6237, scimark_benchmark: 1051.249, usercpu_time_millis: 380, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, f_measure: 0.8637, kappa: 0.7245, kb_relative_information_score: 4312.8666, mean_absolute_error: 0.1987, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8642, predictive_accuracy: 0.8635, prior_entropy: 0.9913, recall: 0.8635, relative_absolute_error: 0.4022, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.6275, scimark_benchmark: 943.6618, usercpu_time_millis: 5700, usercpu_time_millis_testing: 2630, usercpu_time_millis_training: 3070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.8635, kappa: 0.7242, kb_relative_information_score: 4312.4006, mean_absolute_error: 0.1987, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.864, predictive_accuracy: 0.8633, prior_entropy: 0.9913, recall: 0.8633, relative_absolute_error: 0.4023, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.6283, scimark_benchmark: 943.2803, usercpu_time_millis: 2720, usercpu_time_millis_testing: 1170, usercpu_time_millis_training: 1550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.8625, kappa: 0.7222, kb_relative_information_score: 4312.1938, mean_absolute_error: 0.1987, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8631, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.4022, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3128, root_relative_squared_error: 0.6295, scimark_benchmark: 945.2015, usercpu_time_millis: 980, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9277, f_measure: 0.8612, kappa: 0.7196, kb_relative_information_score: 4309.2986, mean_absolute_error: 0.1986, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8619, predictive_accuracy: 0.861, prior_entropy: 0.9913, recall: 0.861, relative_absolute_error: 0.402, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3145, root_relative_squared_error: 0.6329, scimark_benchmark: 939.7883, usercpu_time_millis: 500, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.863, kappa: 0.723, kb_relative_information_score: 4323.8872, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8633, predictive_accuracy: 0.8629, prior_entropy: 0.9913, recall: 0.8629, relative_absolute_error: 0.3995, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3157, root_relative_squared_error: 0.6353, scimark_benchmark: 889.4922, usercpu_time_millis: 280, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.8603, kappa: 0.7175, kb_relative_information_score: 4456.5946, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8606, predictive_accuracy: 0.8601, prior_entropy: 0.9913, recall: 0.8601, relative_absolute_error: 0.3698, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.6445, scimark_benchmark: 941.9549, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.8603, kappa: 0.7175, kb_relative_information_score: 4456.5946, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8606, predictive_accuracy: 0.8601, prior_entropy: 0.9913, recall: 0.8601, relative_absolute_error: 0.3698, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.6445, scimark_benchmark: 929.0296, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.8603, kappa: 0.7175, kb_relative_information_score: 4456.5946, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8606, predictive_accuracy: 0.8601, prior_entropy: 0.9913, recall: 0.8601, relative_absolute_error: 0.3698, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.6445, scimark_benchmark: 936.1714, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.8603, kappa: 0.7175, kb_relative_information_score: 4456.5946, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8606, predictive_accuracy: 0.8601, prior_entropy: 0.9913, recall: 0.8601, relative_absolute_error: 0.3698, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.6445, scimark_benchmark: 926.5859, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.8604, kappa: 0.7178, kb_relative_information_score: 4444.4841, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8608, predictive_accuracy: 0.8603, prior_entropy: 0.9913, recall: 0.8603, relative_absolute_error: 0.3721, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.6424, scimark_benchmark: 894.7131, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.8698, kappa: 0.7378, kb_relative_information_score: 5016.9193, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8725, predictive_accuracy: 0.8694, prior_entropy: 0.9913, recall: 0.8694, relative_absolute_error: 0.2733, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.6855, scimark_benchmark: 936.7286, usercpu_time_millis: 550, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 540,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8502, kappa: 0.6964, kb_relative_information_score: 3656.759, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8502, predictive_accuracy: 0.8504, prior_entropy: 0.9913, recall: 0.8504, relative_absolute_error: 0.5073, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.6622, scimark_benchmark: 1350.2591, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8618, f_measure: 0.8553, kappa: 0.7113, kb_relative_information_score: 4862.3607, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.866, predictive_accuracy: 0.8549, prior_entropy: 0.9913, recall: 0.8549, relative_absolute_error: 0.2937, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.7664, scimark_benchmark: 1319.4538, usercpu_time_millis: 120, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.8543, kappa: 0.7043, kb_relative_information_score: 4629.1121, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8557, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.3371, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.6776, scimark_benchmark: 1351.1238, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8578, kappa: 0.7113, kb_relative_information_score: 4576.4928, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8589, predictive_accuracy: 0.8584, prior_entropy: 0.9913, recall: 0.8584, relative_absolute_error: 0.349, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6605, scimark_benchmark: 1310.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.868, kappa: 0.733, kb_relative_information_score: 4442.1912, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8682, predictive_accuracy: 0.8678, prior_entropy: 0.9913, recall: 0.8678, relative_absolute_error: 0.3784, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3098, root_relative_squared_error: 0.6234, scimark_benchmark: 1316.6741, usercpu_time_millis: 3940, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 3840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8578, kappa: 0.7113, kb_relative_information_score: 4576.4928, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8589, predictive_accuracy: 0.8584, prior_entropy: 0.9913, recall: 0.8584, relative_absolute_error: 0.349, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6605, scimark_benchmark: 1332.1612, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8502, kappa: 0.6964, kb_relative_information_score: 3656.759, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8502, predictive_accuracy: 0.8504, prior_entropy: 0.9913, recall: 0.8504, relative_absolute_error: 0.5073, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.6622, scimark_benchmark: 1345.6844, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8578, kappa: 0.7113, kb_relative_information_score: 4576.4928, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8589, predictive_accuracy: 0.8584, prior_entropy: 0.9913, recall: 0.8584, relative_absolute_error: 0.349, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6605, scimark_benchmark: 1374.9737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8578, kappa: 0.7113, kb_relative_information_score: 4576.4928, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8589, predictive_accuracy: 0.8584, prior_entropy: 0.9913, recall: 0.8584, relative_absolute_error: 0.349, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6605, scimark_benchmark: 1342.2845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.868, kappa: 0.733, kb_relative_information_score: 4442.1912, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8682, predictive_accuracy: 0.8678, prior_entropy: 0.9913, recall: 0.8678, relative_absolute_error: 0.3784, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3098, root_relative_squared_error: 0.6234, scimark_benchmark: 1337.3324, usercpu_time_millis: 2660, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 2550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8578, kappa: 0.7113, kb_relative_information_score: 4576.4928, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8589, predictive_accuracy: 0.8584, prior_entropy: 0.9913, recall: 0.8584, relative_absolute_error: 0.349, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6605, scimark_benchmark: 1313.5633, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.8681, kappa: 0.7334, kb_relative_information_score: 4266.0388, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8685, predictive_accuracy: 0.868, prior_entropy: 0.9913, recall: 0.868, relative_absolute_error: 0.4096, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6237, scimark_benchmark: 1336.5541, usercpu_time_millis: 380, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.8663, kappa: 0.729, kb_relative_information_score: 4346.8111, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8664, predictive_accuracy: 0.8665, prior_entropy: 0.9913, recall: 0.8665, relative_absolute_error: 0.3978, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.326, root_relative_squared_error: 0.656, scimark_benchmark: 1292.514, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.849, kappa: 0.6944, kb_relative_information_score: 4310.311, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.849, predictive_accuracy: 0.849, prior_entropy: 0.9913, recall: 0.849, relative_absolute_error: 0.3938, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3231, root_relative_squared_error: 0.6501, scimark_benchmark: 1317.7919, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.862, kappa: 0.7217, kb_relative_information_score: 4249.549, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8636, predictive_accuracy: 0.8617, prior_entropy: 0.9913, recall: 0.8617, relative_absolute_error: 0.4101, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.6417, scimark_benchmark: 1339.3082, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8578, kappa: 0.7113, kb_relative_information_score: 4576.4928, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8589, predictive_accuracy: 0.8584, prior_entropy: 0.9913, recall: 0.8584, relative_absolute_error: 0.349, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6605, scimark_benchmark: 1332.7555, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8578, kappa: 0.7113, kb_relative_information_score: 4576.4928, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8589, predictive_accuracy: 0.8584, prior_entropy: 0.9913, recall: 0.8584, relative_absolute_error: 0.349, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6605, scimark_benchmark: 1328.1785, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.8644, kappa: 0.7261, kb_relative_information_score: 4419.9811, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8651, predictive_accuracy: 0.8642, prior_entropy: 0.9913, recall: 0.8642, relative_absolute_error: 0.3807, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3111, root_relative_squared_error: 0.626, scimark_benchmark: 1318.6096, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.8681, kappa: 0.7334, kb_relative_information_score: 4266.0388, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8685, predictive_accuracy: 0.868, prior_entropy: 0.9913, recall: 0.868, relative_absolute_error: 0.4096, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6237, scimark_benchmark: 1286.0816, usercpu_time_millis: 320, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.8663, kappa: 0.729, kb_relative_information_score: 4346.8111, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8664, predictive_accuracy: 0.8665, prior_entropy: 0.9913, recall: 0.8665, relative_absolute_error: 0.3978, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.326, root_relative_squared_error: 0.656, scimark_benchmark: 1349.9643, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8805, f_measure: 0.8506, kappa: 0.6975, kb_relative_information_score: 4619.6463, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8506, predictive_accuracy: 0.8506, prior_entropy: 0.9913, recall: 0.8506, relative_absolute_error: 0.336, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.7221, scimark_benchmark: 1360.0477, usercpu_time_millis: 220, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.8681, kappa: 0.7334, kb_relative_information_score: 4266.0388, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8685, predictive_accuracy: 0.868, prior_entropy: 0.9913, recall: 0.868, relative_absolute_error: 0.4096, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6237, scimark_benchmark: 1343.3311, usercpu_time_millis: 360, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8618, f_measure: 0.8553, kappa: 0.7113, kb_relative_information_score: 4862.3607, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.866, predictive_accuracy: 0.8549, prior_entropy: 0.9913, recall: 0.8549, relative_absolute_error: 0.2937, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.7664, scimark_benchmark: 1317.5857, usercpu_time_millis: 120, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8578, kappa: 0.7113, kb_relative_information_score: 4576.4928, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8589, predictive_accuracy: 0.8584, prior_entropy: 0.9913, recall: 0.8584, relative_absolute_error: 0.349, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6605, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.8644, kappa: 0.7261, kb_relative_information_score: 4419.9811, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.494, number_of_instances: 6900, precision: 0.8651, predictive_accuracy: 0.8642, prior_entropy: 0.9913, recall: 0.8642, relative_absolute_error: 0.3807, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3111, root_relative_squared_error: 0.626, scimark_benchmark: 1347.993, usercpu_time_millis: 90, usercpu_time_millis_training: 90,

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