Task
Supervised Classification on audiology

Supervised Classification on audiology

Task 1771 Supervised Classification audiology 325 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.7438, kappa: 0.7301, kb_relative_information_score: 756.4567, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.7346, predictive_accuracy: 0.769, prior_entropy: 3.6349, recall: 0.769, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1248, root_relative_squared_error: 0.6591, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.6916, kappa: 0.6553, kb_relative_information_score: 676.2035, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6871, predictive_accuracy: 0.7053, prior_entropy: 3.6349, recall: 0.7053, relative_absolute_error: 0.4445, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.7191, scimark_benchmark: 851.2074, usercpu_time_millis: 560, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5308, f_measure: 0.1648, kappa: 0.062, kb_relative_information_score: 164.1733, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.2289, predictive_accuracy: 0.2929, prior_entropy: 3.6349, recall: 0.2929, relative_absolute_error: 0.8139, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.2427, root_relative_squared_error: 1.2823, scimark_benchmark: 916.0735, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.6611, kappa: 0.6537, kb_relative_information_score: 644.6339, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6454, predictive_accuracy: 0.7106, prior_entropy: 3.6349, recall: 0.7106, relative_absolute_error: 0.3741, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1395, root_relative_squared_error: 0.7369, scimark_benchmark: 941.6675, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.6661, kappa: 0.658, kb_relative_information_score: 652.7275, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6535, predictive_accuracy: 0.7133, prior_entropy: 3.6349, recall: 0.7133, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.7311, 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: 0.9523, f_measure: 0.6661, kappa: 0.658, kb_relative_information_score: 652.7275, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6535, predictive_accuracy: 0.7133, prior_entropy: 3.6349, recall: 0.7133, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.7311, scimark_benchmark: 941.6675, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.6661, kappa: 0.658, kb_relative_information_score: 652.7275, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6535, predictive_accuracy: 0.7133, prior_entropy: 3.6349, recall: 0.7133, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.7311, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.6479, kappa: 0.6238, kb_relative_information_score: 600.62, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6427, predictive_accuracy: 0.685, prior_entropy: 3.6349, recall: 0.685, relative_absolute_error: 0.583, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1386, root_relative_squared_error: 0.7323, scimark_benchmark: 941.6675, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.6661, kappa: 0.658, kb_relative_information_score: 652.7275, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6535, predictive_accuracy: 0.7133, prior_entropy: 3.6349, recall: 0.7133, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.7311, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.6536, kappa: 0.6472, kb_relative_information_score: 633.5969, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6263, predictive_accuracy: 0.7018, prior_entropy: 3.6349, recall: 0.7018, relative_absolute_error: 0.3526, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.7963, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.714, kappa: 0.7073, kb_relative_information_score: 636.8399, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.7013, predictive_accuracy: 0.754, prior_entropy: 3.6349, recall: 0.754, relative_absolute_error: 0.5689, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1301, root_relative_squared_error: 0.6873, scimark_benchmark: 931.771, usercpu_time_millis: 160, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5308, f_measure: 0.1648, kappa: 0.062, kb_relative_information_score: 164.1733, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.2289, predictive_accuracy: 0.2929, prior_entropy: 3.6349, recall: 0.2929, relative_absolute_error: 0.8139, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.2427, root_relative_squared_error: 1.2823, scimark_benchmark: 941.3847, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.6661, kappa: 0.658, kb_relative_information_score: 652.7275, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6535, predictive_accuracy: 0.7133, prior_entropy: 3.6349, recall: 0.7133, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.7311, scimark_benchmark: 941.3847, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.6536, kappa: 0.6472, kb_relative_information_score: 633.5969, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6263, predictive_accuracy: 0.7018, prior_entropy: 3.6349, recall: 0.7018, relative_absolute_error: 0.3526, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.7963, scimark_benchmark: 937.5117, usercpu_time_millis: 8590, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 8310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.714, kappa: 0.7073, kb_relative_information_score: 636.8399, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.7013, predictive_accuracy: 0.754, prior_entropy: 3.6349, recall: 0.754, relative_absolute_error: 0.5689, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1301, root_relative_squared_error: 0.6873, 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: 0.9154, f_measure: 0.7438, kappa: 0.7301, kb_relative_information_score: 756.4567, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.7346, predictive_accuracy: 0.769, prior_entropy: 3.6349, recall: 0.769, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1248, root_relative_squared_error: 0.6591, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.6916, kappa: 0.6553, kb_relative_information_score: 676.2035, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6871, predictive_accuracy: 0.7053, prior_entropy: 3.6349, recall: 0.7053, relative_absolute_error: 0.4445, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.7191, scimark_benchmark: 608.4057, usercpu_time_millis: 580, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5308, f_measure: 0.1648, kappa: 0.062, kb_relative_information_score: 164.1733, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.2289, predictive_accuracy: 0.2929, prior_entropy: 3.6349, recall: 0.2929, relative_absolute_error: 0.8139, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.2427, root_relative_squared_error: 1.2823, scimark_benchmark: 927.2882, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.6611, kappa: 0.6537, kb_relative_information_score: 644.6339, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6454, predictive_accuracy: 0.7106, prior_entropy: 3.6349, recall: 0.7106, relative_absolute_error: 0.3741, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1395, root_relative_squared_error: 0.7369, scimark_benchmark: 938.1282, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.6661, kappa: 0.658, kb_relative_information_score: 652.7275, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6535, predictive_accuracy: 0.7133, prior_entropy: 3.6349, recall: 0.7133, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.7311, 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: 0.9523, f_measure: 0.6661, kappa: 0.658, kb_relative_information_score: 652.7275, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6535, predictive_accuracy: 0.7133, prior_entropy: 3.6349, recall: 0.7133, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.7311, 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: 0.9247, f_measure: 0.6479, kappa: 0.6238, kb_relative_information_score: 600.62, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6427, predictive_accuracy: 0.685, prior_entropy: 3.6349, recall: 0.685, relative_absolute_error: 0.583, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1386, root_relative_squared_error: 0.7323, scimark_benchmark: 941.4991, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.6661, kappa: 0.658, kb_relative_information_score: 652.7275, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6535, predictive_accuracy: 0.7133, prior_entropy: 3.6349, recall: 0.7133, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.7311, scimark_benchmark: 945.6228, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.6536, kappa: 0.6472, kb_relative_information_score: 633.5969, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6263, predictive_accuracy: 0.7018, prior_entropy: 3.6349, recall: 0.7018, relative_absolute_error: 0.3526, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.7963, scimark_benchmark: 941.4991, usercpu_time_millis: 8580, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 8330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.714, kappa: 0.7073, kb_relative_information_score: 636.8399, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.7013, predictive_accuracy: 0.754, prior_entropy: 3.6349, recall: 0.754, relative_absolute_error: 0.5689, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1301, root_relative_squared_error: 0.6873, scimark_benchmark: 936.9595, usercpu_time_millis: 170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.7683, kappa: 0.7553, kb_relative_information_score: 765.0053, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.7601, predictive_accuracy: 0.7912, prior_entropy: 3.6349, recall: 0.7912, relative_absolute_error: 0.3968, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.6062, scimark_benchmark: 919.9068, usercpu_time_millis: 10650, usercpu_time_millis_testing: 5970, usercpu_time_millis_training: 4680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.7681, kappa: 0.7572, kb_relative_information_score: 761.4464, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.7512, predictive_accuracy: 0.7929, prior_entropy: 3.6349, recall: 0.7929, relative_absolute_error: 0.4012, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1151, root_relative_squared_error: 0.608, scimark_benchmark: 931.9419, usercpu_time_millis: 3940, usercpu_time_millis_testing: 1660, usercpu_time_millis_training: 2280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.7591, kappa: 0.745, kb_relative_information_score: 761.3677, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.7453, predictive_accuracy: 0.7823, prior_entropy: 3.6349, recall: 0.7823, relative_absolute_error: 0.3997, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1156, root_relative_squared_error: 0.6105, scimark_benchmark: 935.0213, usercpu_time_millis: 2090, usercpu_time_millis_testing: 950, usercpu_time_millis_training: 1140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, f_measure: 0.7598, kappa: 0.7445, kb_relative_information_score: 762.2701, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.7499, predictive_accuracy: 0.7823, prior_entropy: 3.6349, recall: 0.7823, relative_absolute_error: 0.3946, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1161, root_relative_squared_error: 0.6133, scimark_benchmark: 939.7883, usercpu_time_millis: 1430, usercpu_time_millis_testing: 790, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.7537, kappa: 0.7357, kb_relative_information_score: 751.2185, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.7477, predictive_accuracy: 0.7743, prior_entropy: 3.6349, recall: 0.7743, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1184, root_relative_squared_error: 0.6256, scimark_benchmark: 941.9549, usercpu_time_millis: 450, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4907, f_measure: 0.1016, kb_relative_information_score: 5.0063, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.0636, predictive_accuracy: 0.2522, prior_entropy: 3.6349, recall: 0.2522, relative_absolute_error: 1.0092, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1896, root_relative_squared_error: 1.0014, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7588, f_measure: 0.305, kappa: 0.3059, kb_relative_information_score: 291.5093, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.2323, predictive_accuracy: 0.4646, prior_entropy: 3.6349, recall: 0.4646, relative_absolute_error: 0.8165, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.9094, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7588, f_measure: 0.305, kappa: 0.3059, kb_relative_information_score: 291.5093, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.2323, predictive_accuracy: 0.4646, prior_entropy: 3.6349, recall: 0.4646, relative_absolute_error: 0.8165, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.9094, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7588, f_measure: 0.305, kappa: 0.3059, kb_relative_information_score: 291.5093, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.2323, predictive_accuracy: 0.4646, prior_entropy: 3.6349, recall: 0.4646, relative_absolute_error: 0.8165, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.9094, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7588, f_measure: 0.305, kappa: 0.3059, kb_relative_information_score: 291.5093, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.2323, predictive_accuracy: 0.4646, prior_entropy: 3.6349, recall: 0.4646, relative_absolute_error: 0.8165, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.9094, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7588, f_measure: 0.305, kappa: 0.3059, kb_relative_information_score: 291.5093, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.2323, predictive_accuracy: 0.4646, prior_entropy: 3.6349, recall: 0.4646, relative_absolute_error: 0.8165, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.9094, scimark_benchmark: 935.6052,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.7059, kappa: 0.7035, kb_relative_information_score: 633.2782, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6889, predictive_accuracy: 0.7504, prior_entropy: 3.6349, recall: 0.7504, relative_absolute_error: 0.5234, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.6661, scimark_benchmark: 926.5859, usercpu_time_millis: 270, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 170,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5308, f_measure: 0.1648, kappa: 0.062, kb_relative_information_score: 164.1733, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.2289, predictive_accuracy: 0.2929, prior_entropy: 3.6349, recall: 0.2929, relative_absolute_error: 0.8139, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.2427, root_relative_squared_error: 1.2823, scimark_benchmark: 1310.3168, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.6661, kappa: 0.658, kb_relative_information_score: 652.7275, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6535, predictive_accuracy: 0.7133, prior_entropy: 3.6349, recall: 0.7133, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.7311, scimark_benchmark: 1317.5857, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5308, f_measure: 0.1648, kappa: 0.062, kb_relative_information_score: 164.1733, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.2289, predictive_accuracy: 0.2929, prior_entropy: 3.6349, recall: 0.2929, relative_absolute_error: 0.8139, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.2427, root_relative_squared_error: 1.2823, scimark_benchmark: 1347.1763, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.6611, kappa: 0.6537, kb_relative_information_score: 644.6339, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6454, predictive_accuracy: 0.7106, prior_entropy: 3.6349, recall: 0.7106, relative_absolute_error: 0.3741, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1395, root_relative_squared_error: 0.7369, scimark_benchmark: 1318.4315, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.6661, kappa: 0.658, kb_relative_information_score: 652.7275, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6535, predictive_accuracy: 0.7133, prior_entropy: 3.6349, recall: 0.7133, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.7311, scimark_benchmark: 1316.5668, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.6661, kappa: 0.658, kb_relative_information_score: 652.7275, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6535, predictive_accuracy: 0.7133, prior_entropy: 3.6349, recall: 0.7133, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.7311, scimark_benchmark: 1324.7884, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.6661, kappa: 0.658, kb_relative_information_score: 652.7275, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6535, predictive_accuracy: 0.7133, prior_entropy: 3.6349, recall: 0.7133, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.7311, scimark_benchmark: 1342.8584, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.6661, kappa: 0.658, kb_relative_information_score: 652.7275, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6535, predictive_accuracy: 0.7133, prior_entropy: 3.6349, recall: 0.7133, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.7311, scimark_benchmark: 1319.4538, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.6661, kappa: 0.658, kb_relative_information_score: 652.7275, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6535, predictive_accuracy: 0.7133, prior_entropy: 3.6349, recall: 0.7133, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.7311, scimark_benchmark: 1354.5533, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.7438, kappa: 0.7301, kb_relative_information_score: 756.4567, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.7346, predictive_accuracy: 0.769, prior_entropy: 3.6349, recall: 0.769, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1248, root_relative_squared_error: 0.6591, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.6661, kappa: 0.658, kb_relative_information_score: 652.7275, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6535, predictive_accuracy: 0.7133, prior_entropy: 3.6349, recall: 0.7133, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.7311, scimark_benchmark: 1323.5075, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.6661, kappa: 0.658, kb_relative_information_score: 652.7275, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6535, predictive_accuracy: 0.7133, prior_entropy: 3.6349, recall: 0.7133, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.7311, scimark_benchmark: 1309.2287, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.6661, kappa: 0.658, kb_relative_information_score: 652.7275, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6535, predictive_accuracy: 0.7133, prior_entropy: 3.6349, recall: 0.7133, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.7311, scimark_benchmark: 1326.2019, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.6536, kappa: 0.6472, kb_relative_information_score: 633.5969, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6263, predictive_accuracy: 0.7018, prior_entropy: 3.6349, recall: 0.7018, relative_absolute_error: 0.3526, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.7963, scimark_benchmark: 1354.5533, usercpu_time_millis: 13990, usercpu_time_millis_testing: 1010, usercpu_time_millis_training: 12980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.751, kappa: 0.7337, kb_relative_information_score: 747.5782, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.7405, predictive_accuracy: 0.7735, prior_entropy: 3.6349, recall: 0.7735, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.7258, scimark_benchmark: 1331.0047, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.6916, kappa: 0.6553, kb_relative_information_score: 676.2035, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6871, predictive_accuracy: 0.7053, prior_entropy: 3.6349, recall: 0.7053, relative_absolute_error: 0.4445, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.7191, scimark_benchmark: 1253.0071, usercpu_time_millis: 350, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5308, f_measure: 0.1648, kappa: 0.062, kb_relative_information_score: 164.1733, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.2289, predictive_accuracy: 0.2929, prior_entropy: 3.6349, recall: 0.2929, relative_absolute_error: 0.8139, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.2427, root_relative_squared_error: 1.2823, scimark_benchmark: 1286.0816, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5308, f_measure: 0.1648, kappa: 0.062, kb_relative_information_score: 164.1733, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.2289, predictive_accuracy: 0.2929, prior_entropy: 3.6349, recall: 0.2929, relative_absolute_error: 0.8139, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.2427, root_relative_squared_error: 1.2823, scimark_benchmark: 1345.7919, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.6661, kappa: 0.658, kb_relative_information_score: 652.7275, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6535, predictive_accuracy: 0.7133, prior_entropy: 3.6349, recall: 0.7133, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.7311, scimark_benchmark: 1352.9931, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.6661, kappa: 0.658, kb_relative_information_score: 652.7275, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6535, predictive_accuracy: 0.7133, prior_entropy: 3.6349, recall: 0.7133, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.7311, scimark_benchmark: 1343.7262, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.6661, kappa: 0.658, kb_relative_information_score: 652.7275, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6535, predictive_accuracy: 0.7133, prior_entropy: 3.6349, recall: 0.7133, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.7311, scimark_benchmark: 1335.2363, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.6661, kappa: 0.658, kb_relative_information_score: 652.7275, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6535, predictive_accuracy: 0.7133, prior_entropy: 3.6349, recall: 0.7133, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.7311, scimark_benchmark: 1360.0477, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.6536, kappa: 0.6472, kb_relative_information_score: 633.5969, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6263, predictive_accuracy: 0.7018, prior_entropy: 3.6349, recall: 0.7018, relative_absolute_error: 0.3526, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.7963, scimark_benchmark: 1335.3438, usercpu_time_millis: 13510, usercpu_time_millis_testing: 960, usercpu_time_millis_training: 12550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.714, kappa: 0.7073, kb_relative_information_score: 636.8399, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.7013, predictive_accuracy: 0.754, prior_entropy: 3.6349, recall: 0.754, relative_absolute_error: 0.5689, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1301, root_relative_squared_error: 0.6873, scimark_benchmark: 1336.4564, usercpu_time_millis: 160, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.714, kappa: 0.7073, kb_relative_information_score: 636.8399, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.7013, predictive_accuracy: 0.754, prior_entropy: 3.6349, recall: 0.754, relative_absolute_error: 0.5689, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1301, root_relative_squared_error: 0.6873, scimark_benchmark: 1342.6744, usercpu_time_millis: 140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.7438, kappa: 0.7301, kb_relative_information_score: 756.4567, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.7346, predictive_accuracy: 0.769, prior_entropy: 3.6349, recall: 0.769, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1248, root_relative_squared_error: 0.6591, scimark_benchmark: 1344.7524, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.6916, kappa: 0.6553, kb_relative_information_score: 676.2035, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.0724, number_of_instances: 1130, precision: 0.6871, predictive_accuracy: 0.7053, prior_entropy: 3.6349, recall: 0.7053, relative_absolute_error: 0.4445, root_mean_prior_squared_error: 0.1893, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.7191, scimark_benchmark: 1364.991, usercpu_time_millis: 320, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 310,

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