OpenML
Supervised Classification on audiology

Supervised Classification on audiology

Task 1887 Supervised Classification audiology 182 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.7548, kappa: 0.7398, kb_relative_information_score: 1586.687, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7427, predictive_accuracy: 0.7765, prior_entropy: 3.6349, recall: 0.7765, relative_absolute_error: 0.3089, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1211, root_relative_squared_error: 0.6398, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.7261, kappa: 0.6976, kb_relative_information_score: 1415.9402, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7174, predictive_accuracy: 0.7412, prior_entropy: 3.6349, recall: 0.7412, relative_absolute_error: 0.4071, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1259, root_relative_squared_error: 0.6648, scimark_benchmark: 851.2074, usercpu_time_millis: 330, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6433, f_measure: 0.308, kappa: 0.2847, kb_relative_information_score: 596.8376, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.2885, predictive_accuracy: 0.4469, prior_entropy: 3.6349, recall: 0.4469, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.2147, root_relative_squared_error: 1.1341, scimark_benchmark: 931.771, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.7121, kappa: 0.708, kb_relative_information_score: 1416.7475, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6829, predictive_accuracy: 0.7531, prior_entropy: 3.6349, recall: 0.7531, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.6686, scimark_benchmark: 941.6675, usercpu_time_millis: 70, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.7121, kappa: 0.708, kb_relative_information_score: 1416.7475, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6829, predictive_accuracy: 0.7531, prior_entropy: 3.6349, recall: 0.7531, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.6686, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.7229, kappa: 0.7092, kb_relative_information_score: 1443.9562, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7212, predictive_accuracy: 0.7535, prior_entropy: 3.6349, recall: 0.7535, relative_absolute_error: 0.4399, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1245, root_relative_squared_error: 0.6576, scimark_benchmark: 941.6675, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.7121, kappa: 0.708, kb_relative_information_score: 1416.7475, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6829, predictive_accuracy: 0.7531, prior_entropy: 3.6349, recall: 0.7531, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.6686, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.7657, kappa: 0.7594, kb_relative_information_score: 1389.5646, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7518, predictive_accuracy: 0.7965, prior_entropy: 3.6349, recall: 0.7965, relative_absolute_error: 0.4899, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1183, root_relative_squared_error: 0.6248, scimark_benchmark: 931.771, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6433, f_measure: 0.308, kappa: 0.2847, kb_relative_information_score: 596.8376, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.2885, predictive_accuracy: 0.4469, prior_entropy: 3.6349, recall: 0.4469, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.2147, root_relative_squared_error: 1.1341, scimark_benchmark: 937.5117, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.7195, kappa: 0.7197, kb_relative_information_score: 1404.4955, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6878, predictive_accuracy: 0.7633, prior_entropy: 3.6349, recall: 0.7633, relative_absolute_error: 0.3152, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1248, root_relative_squared_error: 0.6592, scimark_benchmark: 941.3847, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.7121, kappa: 0.708, kb_relative_information_score: 1416.7475, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6829, predictive_accuracy: 0.7531, prior_entropy: 3.6349, recall: 0.7531, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.6686, scimark_benchmark: 974.2014, usercpu_time_millis: 80, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.7333, kappa: 0.7265, kb_relative_information_score: 1445.4166, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7087, predictive_accuracy: 0.7673, prior_entropy: 3.6349, recall: 0.7673, relative_absolute_error: 0.2893, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1329, root_relative_squared_error: 0.7022, scimark_benchmark: 937.5117, usercpu_time_millis: 8650, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 8360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.7657, kappa: 0.7594, kb_relative_information_score: 1389.5646, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7518, predictive_accuracy: 0.7965, prior_entropy: 3.6349, recall: 0.7965, relative_absolute_error: 0.4899, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1183, root_relative_squared_error: 0.6248, scimark_benchmark: 943.1009, usercpu_time_millis: 160, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.7548, kappa: 0.7398, kb_relative_information_score: 1586.687, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7427, predictive_accuracy: 0.7765, prior_entropy: 3.6349, recall: 0.7765, relative_absolute_error: 0.3089, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1211, root_relative_squared_error: 0.6398, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.7261, kappa: 0.6976, kb_relative_information_score: 1415.9402, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7174, predictive_accuracy: 0.7412, prior_entropy: 3.6349, recall: 0.7412, relative_absolute_error: 0.4071, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1259, root_relative_squared_error: 0.6648, scimark_benchmark: 608.4057, usercpu_time_millis: 520, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6433, f_measure: 0.308, kappa: 0.2847, kb_relative_information_score: 596.8376, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.2885, predictive_accuracy: 0.4469, prior_entropy: 3.6349, recall: 0.4469, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.2147, root_relative_squared_error: 1.1341, scimark_benchmark: 859.5223, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6433, f_measure: 0.308, kappa: 0.2847, kb_relative_information_score: 596.8376, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.2885, predictive_accuracy: 0.4469, prior_entropy: 3.6349, recall: 0.4469, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.2147, root_relative_squared_error: 1.1341, scimark_benchmark: 919.3788, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.7121, kappa: 0.708, kb_relative_information_score: 1416.7475, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6829, predictive_accuracy: 0.7531, prior_entropy: 3.6349, recall: 0.7531, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.6686, scimark_benchmark: 938.1282, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.7121, kappa: 0.708, kb_relative_information_score: 1416.7475, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6829, predictive_accuracy: 0.7531, prior_entropy: 3.6349, recall: 0.7531, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.6686, scimark_benchmark: 930.404, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.7121, kappa: 0.708, kb_relative_information_score: 1416.7475, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6829, predictive_accuracy: 0.7531, prior_entropy: 3.6349, recall: 0.7531, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.6686, scimark_benchmark: 903.2737, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.7229, kappa: 0.7092, kb_relative_information_score: 1443.9562, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7212, predictive_accuracy: 0.7535, prior_entropy: 3.6349, recall: 0.7535, relative_absolute_error: 0.4399, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1245, root_relative_squared_error: 0.6576, scimark_benchmark: 941.4991, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.7121, kappa: 0.708, kb_relative_information_score: 1416.7475, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6829, predictive_accuracy: 0.7531, prior_entropy: 3.6349, recall: 0.7531, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.6686, scimark_benchmark: 932.438, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.7333, kappa: 0.7265, kb_relative_information_score: 1445.4166, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7087, predictive_accuracy: 0.7673, prior_entropy: 3.6349, recall: 0.7673, relative_absolute_error: 0.2893, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1329, root_relative_squared_error: 0.7022, scimark_benchmark: 1051.249, usercpu_time_millis: 17400, usercpu_time_millis_testing: 1040, usercpu_time_millis_training: 16360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.7657, kappa: 0.7594, kb_relative_information_score: 1389.5646, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7518, predictive_accuracy: 0.7965, prior_entropy: 3.6349, recall: 0.7965, relative_absolute_error: 0.4899, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1183, root_relative_squared_error: 0.6248, scimark_benchmark: 1051.249, usercpu_time_millis: 280, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.7867, kappa: 0.7766, kb_relative_information_score: 1621.2796, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7805, predictive_accuracy: 0.8089, prior_entropy: 3.6349, recall: 0.8089, relative_absolute_error: 0.3314, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1082, root_relative_squared_error: 0.5713, scimark_benchmark: 819.5729, usercpu_time_millis: 12010, usercpu_time_millis_testing: 6780, usercpu_time_millis_training: 5230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.7868, kappa: 0.777, kb_relative_information_score: 1622.2779, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7732, predictive_accuracy: 0.8093, prior_entropy: 3.6349, recall: 0.8093, relative_absolute_error: 0.3302, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.108, root_relative_squared_error: 0.5706, scimark_benchmark: 901.6243, usercpu_time_millis: 4480, usercpu_time_millis_testing: 2110, usercpu_time_millis_training: 2370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.7861, kappa: 0.7749, kb_relative_information_score: 1620.8333, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7769, predictive_accuracy: 0.8075, prior_entropy: 3.6349, recall: 0.8075, relative_absolute_error: 0.33, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1084, root_relative_squared_error: 0.5726, scimark_benchmark: 939.7241, usercpu_time_millis: 2090, usercpu_time_millis_testing: 900, usercpu_time_millis_training: 1190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.7803, kappa: 0.7686, kb_relative_information_score: 1612.7178, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7699, predictive_accuracy: 0.8022, prior_entropy: 3.6349, recall: 0.8022, relative_absolute_error: 0.3322, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.5784, scimark_benchmark: 942.5233, usercpu_time_millis: 910, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.7854, kappa: 0.7719, kb_relative_information_score: 1608.3125, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7745, predictive_accuracy: 0.8049, prior_entropy: 3.6349, recall: 0.8049, relative_absolute_error: 0.3308, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1109, root_relative_squared_error: 0.5859, scimark_benchmark: 894.7131, usercpu_time_millis: 470, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4111, f_measure: 0.1016, kb_relative_information_score: -0.9309, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.0636, predictive_accuracy: 0.2522, prior_entropy: 3.6349, recall: 0.2522, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1895, root_relative_squared_error: 1.001, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, f_measure: 0.305, kappa: 0.3059, kb_relative_information_score: 550.1808, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.2323, predictive_accuracy: 0.4646, prior_entropy: 3.6349, recall: 0.4646, relative_absolute_error: 0.8183, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.9106, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, f_measure: 0.305, kappa: 0.3059, kb_relative_information_score: 550.1808, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.2323, predictive_accuracy: 0.4646, prior_entropy: 3.6349, recall: 0.4646, relative_absolute_error: 0.8183, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.9106, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, f_measure: 0.305, kappa: 0.3059, kb_relative_information_score: 550.1808, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.2323, predictive_accuracy: 0.4646, prior_entropy: 3.6349, recall: 0.4646, relative_absolute_error: 0.8183, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.9106, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, f_measure: 0.305, kappa: 0.3059, kb_relative_information_score: 550.1808, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.2323, predictive_accuracy: 0.4646, prior_entropy: 3.6349, recall: 0.4646, relative_absolute_error: 0.8183, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.9106, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, f_measure: 0.305, kappa: 0.3059, kb_relative_information_score: 550.1808, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.2323, predictive_accuracy: 0.4646, prior_entropy: 3.6349, recall: 0.4646, relative_absolute_error: 0.8183, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.9106, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1016, kb_relative_information_score: 259.8671, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.0636, predictive_accuracy: 0.2522, prior_entropy: 3.6349, recall: 0.2522, relative_absolute_error: 0.8608, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.2496, root_relative_squared_error: 1.3186, scimark_benchmark: 941.9549,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.7946, kappa: 0.7824, kb_relative_information_score: 1359.514, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7808, predictive_accuracy: 0.8133, prior_entropy: 3.6349, recall: 0.8133, relative_absolute_error: 0.534, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1194, root_relative_squared_error: 0.6309, scimark_benchmark: 936.7184, usercpu_time_millis: 1510, usercpu_time_millis_training: 1510,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.7261, kappa: 0.6976, kb_relative_information_score: 1415.9402, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7174, predictive_accuracy: 0.7412, prior_entropy: 3.6349, recall: 0.7412, relative_absolute_error: 0.4071, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1259, root_relative_squared_error: 0.6648, scimark_benchmark: 1331.0047, usercpu_time_millis: 390, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.7121, kappa: 0.708, kb_relative_information_score: 1416.7475, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6829, predictive_accuracy: 0.7531, prior_entropy: 3.6349, recall: 0.7531, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.6686, scimark_benchmark: 1349.9109, usercpu_time_millis: 70, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.7121, kappa: 0.708, kb_relative_information_score: 1416.7475, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6829, predictive_accuracy: 0.7531, prior_entropy: 3.6349, recall: 0.7531, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.6686, scimark_benchmark: 1366.2491, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.7121, kappa: 0.708, kb_relative_information_score: 1416.7475, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6829, predictive_accuracy: 0.7531, prior_entropy: 3.6349, recall: 0.7531, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.6686, scimark_benchmark: 1336.4564, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.7548, kappa: 0.7398, kb_relative_information_score: 1586.687, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7427, predictive_accuracy: 0.7765, prior_entropy: 3.6349, recall: 0.7765, relative_absolute_error: 0.3089, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1211, root_relative_squared_error: 0.6398, scimark_benchmark: 1344.0499, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.7121, kappa: 0.708, kb_relative_information_score: 1416.7475, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6829, predictive_accuracy: 0.7531, prior_entropy: 3.6349, recall: 0.7531, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.6686, scimark_benchmark: 1325.1482, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.7121, kappa: 0.708, kb_relative_information_score: 1416.7475, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6829, predictive_accuracy: 0.7531, prior_entropy: 3.6349, recall: 0.7531, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.6686, scimark_benchmark: 1352.3373, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.7657, kappa: 0.7594, kb_relative_information_score: 1389.5646, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7518, predictive_accuracy: 0.7965, prior_entropy: 3.6349, recall: 0.7965, relative_absolute_error: 0.4899, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1183, root_relative_squared_error: 0.6248, scimark_benchmark: 1340.5125, usercpu_time_millis: 130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.7138, kappa: 0.7102, kb_relative_information_score: 1420.0761, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6849, predictive_accuracy: 0.7553, prior_entropy: 3.6349, recall: 0.7553, relative_absolute_error: 0.3139, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1263, root_relative_squared_error: 0.6671, scimark_benchmark: 1334.1825, usercpu_time_millis: 6780, usercpu_time_millis_testing: 5830, usercpu_time_millis_training: 950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6433, f_measure: 0.308, kappa: 0.2847, kb_relative_information_score: 596.8376, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.2885, predictive_accuracy: 0.4469, prior_entropy: 3.6349, recall: 0.4469, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.2147, root_relative_squared_error: 1.1341, scimark_benchmark: 1327.3335, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.7121, kappa: 0.708, kb_relative_information_score: 1416.7475, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6829, predictive_accuracy: 0.7531, prior_entropy: 3.6349, recall: 0.7531, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.6686, scimark_benchmark: 938.0414, usercpu_time_millis: 70, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.7333, kappa: 0.7265, kb_relative_information_score: 1445.4166, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7087, predictive_accuracy: 0.7673, prior_entropy: 3.6349, recall: 0.7673, relative_absolute_error: 0.2893, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1329, root_relative_squared_error: 0.7022, scimark_benchmark: 1278.6629, usercpu_time_millis: 14050, usercpu_time_millis_testing: 1000, usercpu_time_millis_training: 13050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.7657, kappa: 0.7594, kb_relative_information_score: 1389.5646, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7518, predictive_accuracy: 0.7965, prior_entropy: 3.6349, recall: 0.7965, relative_absolute_error: 0.4899, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1183, root_relative_squared_error: 0.6248, scimark_benchmark: 1326.8946, usercpu_time_millis: 160, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.7548, kappa: 0.7398, kb_relative_information_score: 1586.687, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7427, predictive_accuracy: 0.7765, prior_entropy: 3.6349, recall: 0.7765, relative_absolute_error: 0.3089, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1211, root_relative_squared_error: 0.6398, scimark_benchmark: 1384.4422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.7121, kappa: 0.708, kb_relative_information_score: 1416.7475, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6829, predictive_accuracy: 0.7531, prior_entropy: 3.6349, recall: 0.7531, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.6686, scimark_benchmark: 1314.7093, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.7195, kappa: 0.7197, kb_relative_information_score: 1404.4955, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6878, predictive_accuracy: 0.7633, prior_entropy: 3.6349, recall: 0.7633, relative_absolute_error: 0.3152, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1248, root_relative_squared_error: 0.6592, scimark_benchmark: 935.5075, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.7333, kappa: 0.7265, kb_relative_information_score: 1445.4166, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7087, predictive_accuracy: 0.7673, prior_entropy: 3.6349, recall: 0.7673, relative_absolute_error: 0.2893, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1329, root_relative_squared_error: 0.7022, scimark_benchmark: 918.0213, usercpu_time_millis: 8340, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 8090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.7548, kappa: 0.7398, kb_relative_information_score: 1586.687, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7427, predictive_accuracy: 0.7765, prior_entropy: 3.6349, recall: 0.7765, relative_absolute_error: 0.3089, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1211, root_relative_squared_error: 0.6398, scimark_benchmark: 1261.7298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.7548, kappa: 0.7398, kb_relative_information_score: 1586.687, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.7427, predictive_accuracy: 0.7765, prior_entropy: 3.6349, recall: 0.7765, relative_absolute_error: 0.3089, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1211, root_relative_squared_error: 0.6398, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.3292, kappa: 0.3303, kb_relative_information_score: 839.5473, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.2827, predictive_accuracy: 0.4801, prior_entropy: 3.6349, recall: 0.4801, relative_absolute_error: 0.7368, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1624, root_relative_squared_error: 0.858, scimark_benchmark: 926.6704, usercpu_time_millis: 250, usercpu_time_millis_testing: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.7121, kappa: 0.708, kb_relative_information_score: 1416.7475, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6829, predictive_accuracy: 0.7531, prior_entropy: 3.6349, recall: 0.7531, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.6686, scimark_benchmark: 933.1165, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.7121, kappa: 0.708, kb_relative_information_score: 1416.7475, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6829, predictive_accuracy: 0.7531, prior_entropy: 3.6349, recall: 0.7531, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.6686, scimark_benchmark: 1360.6585, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.7121, kappa: 0.708, kb_relative_information_score: 1416.7475, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6829, predictive_accuracy: 0.7531, prior_entropy: 3.6349, recall: 0.7531, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.6686, scimark_benchmark: 926.6704, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.7195, kappa: 0.7197, kb_relative_information_score: 1404.4955, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6878, predictive_accuracy: 0.7633, prior_entropy: 3.6349, recall: 0.7633, relative_absolute_error: 0.3152, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1248, root_relative_squared_error: 0.6592, scimark_benchmark: 1350.073, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.7121, kappa: 0.708, kb_relative_information_score: 1416.7475, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6829, predictive_accuracy: 0.7531, prior_entropy: 3.6349, recall: 0.7531, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.6686, scimark_benchmark: 1350.073, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.7195, kappa: 0.7197, kb_relative_information_score: 1404.4955, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6878, predictive_accuracy: 0.7633, prior_entropy: 3.6349, recall: 0.7633, relative_absolute_error: 0.3152, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1248, root_relative_squared_error: 0.6592, scimark_benchmark: 1342.6911, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.7121, kappa: 0.708, kb_relative_information_score: 1416.7475, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.0724, number_of_instances: 2260, precision: 0.6829, predictive_accuracy: 0.7531, prior_entropy: 3.6349, recall: 0.7531, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.6686, scimark_benchmark: 1342.6911, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,

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