OpenML
Supervised Classification on bank32nh

Supervised Classification on bank32nh

Task 4403 Supervised Classification bank32nh 200 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8447, f_measure: 0.7941, kappa: 0.5113, kb_relative_information_score: 30101.3206, mean_absolute_error: 0.2728, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.7929, predictive_accuracy: 0.7983, prior_entropy: 0.8937, recall: 0.7983, relative_absolute_error: 0.6373, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3787, root_relative_squared_error: 0.8186, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8544, f_measure: 0.7842, kappa: 0.4849, kb_relative_information_score: 17879.7224, mean_absolute_error: 0.3397, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.7836, predictive_accuracy: 0.7906, prior_entropy: 0.8937, recall: 0.7906, relative_absolute_error: 0.7935, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.834, scimark_benchmark: 972.587, usercpu_time_millis: 2400, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.865, f_measure: 0.7951, kappa: 0.5104, kb_relative_information_score: 30392.3997, mean_absolute_error: 0.2714, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.7955, predictive_accuracy: 0.8017, prior_entropy: 0.8937, recall: 0.8017, relative_absolute_error: 0.6339, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.7944, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, f_measure: 0.81, kappa: 0.5478, kb_relative_information_score: 44155.9883, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.8098, predictive_accuracy: 0.8148, prior_entropy: 0.8937, recall: 0.8148, relative_absolute_error: 0.4327, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.9303, scimark_benchmark: 904.6764, usercpu_time_millis: 35170, usercpu_time_millis_testing: 15120, usercpu_time_millis_training: 20050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.8149, kappa: 0.5619, kb_relative_information_score: 38094.3063, mean_absolute_error: 0.227, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.8139, predictive_accuracy: 0.8178, prior_entropy: 0.8937, recall: 0.8178, relative_absolute_error: 0.5302, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3537, root_relative_squared_error: 0.7644, scimark_benchmark: 916.0735, usercpu_time_millis: 1204550, usercpu_time_millis_testing: 21320, usercpu_time_millis_training: 1183230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.7907, kappa: 0.4954, kb_relative_information_score: 28392.3185, mean_absolute_error: 0.2863, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.7977, predictive_accuracy: 0.8025, prior_entropy: 0.8937, recall: 0.8025, relative_absolute_error: 0.6687, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7913, scimark_benchmark: 938.191, usercpu_time_millis: 240, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8637, f_measure: 0.7946, kappa: 0.5113, kb_relative_information_score: 30693.7828, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.7938, predictive_accuracy: 0.7996, prior_entropy: 0.8937, recall: 0.7996, relative_absolute_error: 0.6234, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.369, root_relative_squared_error: 0.7975, scimark_benchmark: 941.6675, usercpu_time_millis: 3310, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.7894, kappa: 0.492, kb_relative_information_score: 28204.0407, mean_absolute_error: 0.2874, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.797, predictive_accuracy: 0.8016, prior_entropy: 0.8937, recall: 0.8016, relative_absolute_error: 0.6713, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.7924, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, f_measure: 0.81, kappa: 0.5478, kb_relative_information_score: 44155.9883, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.8098, predictive_accuracy: 0.8148, prior_entropy: 0.8937, recall: 0.8148, relative_absolute_error: 0.4327, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.9303, scimark_benchmark: 944.1783, usercpu_time_millis: 44180, usercpu_time_millis_testing: 18940, usercpu_time_millis_training: 25240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, f_measure: 0.81, kappa: 0.5478, kb_relative_information_score: 44155.9883, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.8098, predictive_accuracy: 0.8148, prior_entropy: 0.8937, recall: 0.8148, relative_absolute_error: 0.4327, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.9303, scimark_benchmark: 932.438, usercpu_time_millis: 25980, usercpu_time_millis_testing: 8170, usercpu_time_millis_training: 17810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.7992, kappa: 0.5174, kb_relative_information_score: 27318.0881, mean_absolute_error: 0.2917, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.8034, predictive_accuracy: 0.8085, prior_entropy: 0.8937, recall: 0.8085, relative_absolute_error: 0.6812, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.7864, scimark_benchmark: 943.1009, usercpu_time_millis: 8720, usercpu_time_millis_testing: 870, usercpu_time_millis_training: 7850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8447, f_measure: 0.7941, kappa: 0.5113, kb_relative_information_score: 30101.3206, mean_absolute_error: 0.2728, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.7929, predictive_accuracy: 0.7983, prior_entropy: 0.8937, recall: 0.7983, relative_absolute_error: 0.6373, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3787, root_relative_squared_error: 0.8186, scimark_benchmark: 942.2392, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8544, f_measure: 0.7842, kappa: 0.4849, kb_relative_information_score: 17879.7224, mean_absolute_error: 0.3397, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.7836, predictive_accuracy: 0.7906, prior_entropy: 0.8937, recall: 0.7906, relative_absolute_error: 0.7935, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.834, scimark_benchmark: 908.9569, usercpu_time_millis: 7230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 7220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.865, f_measure: 0.7951, kappa: 0.5104, kb_relative_information_score: 30392.3997, mean_absolute_error: 0.2714, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.7955, predictive_accuracy: 0.8017, prior_entropy: 0.8937, recall: 0.8017, relative_absolute_error: 0.6339, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.7944, scimark_benchmark: 936.2574, usercpu_time_millis: 5060, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.8149, kappa: 0.5619, kb_relative_information_score: 38094.3063, mean_absolute_error: 0.227, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.8139, predictive_accuracy: 0.8178, prior_entropy: 0.8937, recall: 0.8178, relative_absolute_error: 0.5302, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3537, root_relative_squared_error: 0.7644, scimark_benchmark: 919.2625, usercpu_time_millis: 1138450, usercpu_time_millis_testing: 21340, usercpu_time_millis_training: 1117110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, f_measure: 0.81, kappa: 0.5478, kb_relative_information_score: 44155.9883, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.8098, predictive_accuracy: 0.8148, prior_entropy: 0.8937, recall: 0.8148, relative_absolute_error: 0.4327, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.9303, scimark_benchmark: 927.2882, usercpu_time_millis: 35550, usercpu_time_millis_testing: 12040, usercpu_time_millis_training: 23510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.7907, kappa: 0.4954, kb_relative_information_score: 28392.3185, mean_absolute_error: 0.2863, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.7977, predictive_accuracy: 0.8025, prior_entropy: 0.8937, recall: 0.8025, relative_absolute_error: 0.6687, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7913, scimark_benchmark: 930.404, usercpu_time_millis: 260, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.7907, kappa: 0.4954, kb_relative_information_score: 28392.3185, mean_absolute_error: 0.2863, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.7977, predictive_accuracy: 0.8025, prior_entropy: 0.8937, recall: 0.8025, relative_absolute_error: 0.6687, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7913, scimark_benchmark: 930.404, usercpu_time_millis: 260, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8637, f_measure: 0.7946, kappa: 0.5113, kb_relative_information_score: 30693.7828, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.7938, predictive_accuracy: 0.7996, prior_entropy: 0.8937, recall: 0.7996, relative_absolute_error: 0.6234, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.369, root_relative_squared_error: 0.7975, scimark_benchmark: 903.2737, usercpu_time_millis: 3050, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 3010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.7907, kappa: 0.4954, kb_relative_information_score: 28392.3185, mean_absolute_error: 0.2863, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.7977, predictive_accuracy: 0.8025, prior_entropy: 0.8937, recall: 0.8025, relative_absolute_error: 0.6687, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7913, scimark_benchmark: 932.438, usercpu_time_millis: 240, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.7894, kappa: 0.492, kb_relative_information_score: 28204.0407, mean_absolute_error: 0.2874, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.797, predictive_accuracy: 0.8016, prior_entropy: 0.8937, recall: 0.8016, relative_absolute_error: 0.6713, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.7924, scimark_benchmark: 932.438, usercpu_time_millis: 1440, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 1380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.7992, kappa: 0.5174, kb_relative_information_score: 27318.0881, mean_absolute_error: 0.2917, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.8034, predictive_accuracy: 0.8085, prior_entropy: 0.8937, recall: 0.8085, relative_absolute_error: 0.6812, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.7864, scimark_benchmark: 938.988, usercpu_time_millis: 9740, usercpu_time_millis_testing: 740, usercpu_time_millis_training: 9000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.804, kappa: 0.5303, kb_relative_information_score: 29792.5883, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.8062, predictive_accuracy: 0.8115, prior_entropy: 0.8937, recall: 0.8115, relative_absolute_error: 0.6494, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7747, scimark_benchmark: 940.1221, usercpu_time_millis: 282690, usercpu_time_millis_testing: 67340, usercpu_time_millis_training: 215350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.8027, kappa: 0.5272, kb_relative_information_score: 29748.375, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.8048, predictive_accuracy: 0.8102, prior_entropy: 0.8937, recall: 0.8102, relative_absolute_error: 0.6494, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.7764, scimark_benchmark: 904.5548, usercpu_time_millis: 132120, usercpu_time_millis_testing: 26520, usercpu_time_millis_training: 105600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.7991, kappa: 0.5189, kb_relative_information_score: 29451.7995, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.8007, predictive_accuracy: 0.8066, prior_entropy: 0.8937, recall: 0.8066, relative_absolute_error: 0.6495, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.7857, scimark_benchmark: 941.589, usercpu_time_millis: 26990, usercpu_time_millis_testing: 2790, usercpu_time_millis_training: 24200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8609, f_measure: 0.7934, kappa: 0.5062, kb_relative_information_score: 29100.6767, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.7938, predictive_accuracy: 0.8001, prior_entropy: 0.8937, recall: 0.8001, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.799, scimark_benchmark: 931.6751, usercpu_time_millis: 14110, usercpu_time_millis_testing: 1490, usercpu_time_millis_training: 12620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.7986, kappa: 0.5194, kb_relative_information_score: 34153.7587, mean_absolute_error: 0.2482, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.7987, predictive_accuracy: 0.8046, prior_entropy: 0.8937, recall: 0.8046, relative_absolute_error: 0.5798, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.793, scimark_benchmark: 941.9549, usercpu_time_millis: 2020, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.7986, kappa: 0.5194, kb_relative_information_score: 34153.7587, mean_absolute_error: 0.2482, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.7987, predictive_accuracy: 0.8046, prior_entropy: 0.8937, recall: 0.8046, relative_absolute_error: 0.5798, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.793, scimark_benchmark: 938.3115, usercpu_time_millis: 1840, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.7986, kappa: 0.5194, kb_relative_information_score: 34153.7587, mean_absolute_error: 0.2482, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.7987, predictive_accuracy: 0.8046, prior_entropy: 0.8937, recall: 0.8046, relative_absolute_error: 0.5798, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.793, scimark_benchmark: 929.0296, usercpu_time_millis: 2080, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.7979, kappa: 0.5174, kb_relative_information_score: 33732.4834, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.7981, predictive_accuracy: 0.8041, prior_entropy: 0.8937, recall: 0.8041, relative_absolute_error: 0.5853, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.7945, scimark_benchmark: 941.9549, usercpu_time_millis: 1800, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, f_measure: 0.7889, kappa: 0.4946, kb_relative_information_score: 31414.9716, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.7897, predictive_accuracy: 0.7965, prior_entropy: 0.8937, recall: 0.7965, relative_absolute_error: 0.6165, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.372, root_relative_squared_error: 0.8041, scimark_benchmark: 929.0296, usercpu_time_millis: 1140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.7845, kappa: 0.4864, kb_relative_information_score: 29823.5479, mean_absolute_error: 0.2709, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.7836, predictive_accuracy: 0.7903, prior_entropy: 0.8937, recall: 0.7903, relative_absolute_error: 0.6327, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3818, root_relative_squared_error: 0.8253, scimark_benchmark: 941.9549, usercpu_time_millis: 320, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.7915, kappa: 0.499, kb_relative_information_score: 40411.3829, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.795, predictive_accuracy: 0.8011, prior_entropy: 0.8937, recall: 0.8011, relative_absolute_error: 0.4796, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.8854, scimark_benchmark: 941.9549, usercpu_time_millis: 18720, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 18670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.7869, kappa: 0.4868, kb_relative_information_score: 39803.6087, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.7923, predictive_accuracy: 0.7982, prior_entropy: 0.8937, recall: 0.7982, relative_absolute_error: 0.4871, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.8931, scimark_benchmark: 936.1714, usercpu_time_millis: 8730, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 8700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8575, f_measure: 0.7786, kappa: 0.467, kb_relative_information_score: 38081.2616, mean_absolute_error: 0.217, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.7827, predictive_accuracy: 0.7899, prior_entropy: 0.8937, recall: 0.7899, relative_absolute_error: 0.5069, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4209, root_relative_squared_error: 0.9097, scimark_benchmark: 938.3115, usercpu_time_millis: 4610, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8392, f_measure: 0.7663, kappa: 0.4354, kb_relative_information_score: 35918.7018, mean_absolute_error: 0.2284, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.7741, predictive_accuracy: 0.7814, prior_entropy: 0.8937, recall: 0.7814, relative_absolute_error: 0.5334, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4313, root_relative_squared_error: 0.9322, scimark_benchmark: 938.3115, usercpu_time_millis: 2140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2130,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.7907, kappa: 0.4954, kb_relative_information_score: 28392.3185, mean_absolute_error: 0.2863, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.7977, predictive_accuracy: 0.8025, prior_entropy: 0.8937, recall: 0.8025, relative_absolute_error: 0.6687, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7913, scimark_benchmark: 1324.7884, usercpu_time_millis: 210, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.7907, kappa: 0.4954, kb_relative_information_score: 28392.3185, mean_absolute_error: 0.2863, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.7977, predictive_accuracy: 0.8025, prior_entropy: 0.8937, recall: 0.8025, relative_absolute_error: 0.6687, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7913, scimark_benchmark: 1324.8408, usercpu_time_millis: 320, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.8149, kappa: 0.5619, kb_relative_information_score: 38094.3063, mean_absolute_error: 0.227, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.8139, predictive_accuracy: 0.8178, prior_entropy: 0.8937, recall: 0.8178, relative_absolute_error: 0.5302, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3537, root_relative_squared_error: 0.7644, scimark_benchmark: 1336.5541, usercpu_time_millis: 473970, usercpu_time_millis_testing: 15670, usercpu_time_millis_training: 458300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.7907, kappa: 0.4954, kb_relative_information_score: 28392.3185, mean_absolute_error: 0.2863, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.7977, predictive_accuracy: 0.8025, prior_entropy: 0.8937, recall: 0.8025, relative_absolute_error: 0.6687, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7913, scimark_benchmark: 1309.0674, usercpu_time_millis: 200, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.7907, kappa: 0.4954, kb_relative_information_score: 28392.3185, mean_absolute_error: 0.2863, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.7977, predictive_accuracy: 0.8025, prior_entropy: 0.8937, recall: 0.8025, relative_absolute_error: 0.6687, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7913, scimark_benchmark: 1374.9737, usercpu_time_millis: 190, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.7907, kappa: 0.4954, kb_relative_information_score: 28392.3185, mean_absolute_error: 0.2863, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.7977, predictive_accuracy: 0.8025, prior_entropy: 0.8937, recall: 0.8025, relative_absolute_error: 0.6687, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7913, scimark_benchmark: 1322.3407, usercpu_time_millis: 210, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.7896, kappa: 0.4923, kb_relative_information_score: 28139.6837, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.7975, predictive_accuracy: 0.8019, prior_entropy: 0.8937, recall: 0.8019, relative_absolute_error: 0.6724, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.7924, scimark_benchmark: 1342.8584, usercpu_time_millis: 160, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.7907, kappa: 0.4954, kb_relative_information_score: 28392.3185, mean_absolute_error: 0.2863, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.7977, predictive_accuracy: 0.8025, prior_entropy: 0.8937, recall: 0.8025, relative_absolute_error: 0.6687, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7913, scimark_benchmark: 1329.8008, usercpu_time_millis: 200, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.7907, kappa: 0.4954, kb_relative_information_score: 28392.3185, mean_absolute_error: 0.2863, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.7977, predictive_accuracy: 0.8025, prior_entropy: 0.8937, recall: 0.8025, relative_absolute_error: 0.6687, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7913, scimark_benchmark: 1319.4538, usercpu_time_millis: 210, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.7907, kappa: 0.4954, kb_relative_information_score: 28392.3185, mean_absolute_error: 0.2863, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.7977, predictive_accuracy: 0.8025, prior_entropy: 0.8937, recall: 0.8025, relative_absolute_error: 0.6687, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7913, scimark_benchmark: 1393.8432, usercpu_time_millis: 160, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8447, f_measure: 0.7941, kappa: 0.5113, kb_relative_information_score: 30101.3206, mean_absolute_error: 0.2728, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.7929, predictive_accuracy: 0.7983, prior_entropy: 0.8937, recall: 0.7983, relative_absolute_error: 0.6373, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3787, root_relative_squared_error: 0.8186, scimark_benchmark: 1306.9281, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8544, f_measure: 0.7842, kappa: 0.4849, kb_relative_information_score: 17879.7224, mean_absolute_error: 0.3397, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.7836, predictive_accuracy: 0.7906, prior_entropy: 0.8937, recall: 0.7906, relative_absolute_error: 0.7935, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.834, scimark_benchmark: 1346.1568, usercpu_time_millis: 2330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.7896, kappa: 0.4923, kb_relative_information_score: 28139.6837, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.7975, predictive_accuracy: 0.8019, prior_entropy: 0.8937, recall: 0.8019, relative_absolute_error: 0.6724, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.7924, scimark_benchmark: 1309.2287, usercpu_time_millis: 130, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.7907, kappa: 0.4954, kb_relative_information_score: 28392.3185, mean_absolute_error: 0.2863, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.7977, predictive_accuracy: 0.8025, prior_entropy: 0.8937, recall: 0.8025, relative_absolute_error: 0.6687, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7913, scimark_benchmark: 1331.1314, usercpu_time_millis: 160, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.7894, kappa: 0.492, kb_relative_information_score: 28204.0407, mean_absolute_error: 0.2874, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.797, predictive_accuracy: 0.8016, prior_entropy: 0.8937, recall: 0.8016, relative_absolute_error: 0.6713, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.7924, scimark_benchmark: 1335.5309, usercpu_time_millis: 1600, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 1470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.7992, kappa: 0.5174, kb_relative_information_score: 27318.0881, mean_absolute_error: 0.2917, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.8034, predictive_accuracy: 0.8085, prior_entropy: 0.8937, recall: 0.8085, relative_absolute_error: 0.6812, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.7864, scimark_benchmark: 1317.5348, usercpu_time_millis: 7700, usercpu_time_millis_testing: 1070, usercpu_time_millis_training: 6630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8447, f_measure: 0.7941, kappa: 0.5113, kb_relative_information_score: 30101.3206, mean_absolute_error: 0.2728, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.7929, predictive_accuracy: 0.7983, prior_entropy: 0.8937, recall: 0.7983, relative_absolute_error: 0.6373, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3787, root_relative_squared_error: 0.8186, scimark_benchmark: 1313.8988, usercpu_time_millis: 160, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.786, f_measure: 0.7849, kappa: 0.4955, kb_relative_information_score: 37545.8867, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.7841, predictive_accuracy: 0.7858, prior_entropy: 0.8937, recall: 0.7858, relative_absolute_error: 0.5106, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.9545, scimark_benchmark: 1346.0226, usercpu_time_millis: 1890, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 1510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7006, f_measure: 0.7649, kappa: 0.4456, kb_relative_information_score: 32036.5665, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.7632, predictive_accuracy: 0.7674, prior_entropy: 0.8937, recall: 0.7674, relative_absolute_error: 0.5839, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.464, root_relative_squared_error: 1.0029, scimark_benchmark: 1322.5413, usercpu_time_millis: 1200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.865, f_measure: 0.7951, kappa: 0.5104, kb_relative_information_score: 30392.3997, mean_absolute_error: 0.2714, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.7955, predictive_accuracy: 0.8017, prior_entropy: 0.8937, recall: 0.8017, relative_absolute_error: 0.6339, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.7944, scimark_benchmark: 1339.6197, usercpu_time_millis: 5200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, f_measure: 0.8119, kappa: 0.5509, kb_relative_information_score: 35297.9588, mean_absolute_error: 0.2465, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.8128, predictive_accuracy: 0.8177, prior_entropy: 0.8937, recall: 0.8177, relative_absolute_error: 0.5757, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.352, root_relative_squared_error: 0.7607, scimark_benchmark: 1313.8988, usercpu_time_millis: 17680, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 17660,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.7907, kappa: 0.4954, kb_relative_information_score: 28392.3185, mean_absolute_error: 0.2863, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.7977, predictive_accuracy: 0.8025, prior_entropy: 0.8937, recall: 0.8025, relative_absolute_error: 0.6687, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7913, scimark_benchmark: 1351.1238, usercpu_time_millis: 200, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.7992, kappa: 0.5174, kb_relative_information_score: 27318.0881, mean_absolute_error: 0.2917, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.8034, predictive_accuracy: 0.8085, prior_entropy: 0.8937, recall: 0.8085, relative_absolute_error: 0.6812, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.7864, scimark_benchmark: 1308.6872, usercpu_time_millis: 7870, usercpu_time_millis_testing: 790, usercpu_time_millis_training: 7080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.7894, kappa: 0.492, kb_relative_information_score: 28204.0407, mean_absolute_error: 0.2874, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.797, predictive_accuracy: 0.8016, prior_entropy: 0.8937, recall: 0.8016, relative_absolute_error: 0.6713, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.7924, scimark_benchmark: 1337.4384, usercpu_time_millis: 1610, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 1480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.7869, kappa: 0.4865, kb_relative_information_score: 24534.1876, mean_absolute_error: 0.3079, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.7929, predictive_accuracy: 0.7985, prior_entropy: 0.8937, recall: 0.7985, relative_absolute_error: 0.7191, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3732, root_relative_squared_error: 0.8066, scimark_benchmark: 1310.6554, usercpu_time_millis: 280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.7894, kappa: 0.492, kb_relative_information_score: 28204.0407, mean_absolute_error: 0.2874, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.797, predictive_accuracy: 0.8016, prior_entropy: 0.8937, recall: 0.8016, relative_absolute_error: 0.6713, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.7924, scimark_benchmark: 1322.9328, usercpu_time_millis: 1600, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 1460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.7992, kappa: 0.5174, kb_relative_information_score: 27318.0881, mean_absolute_error: 0.2917, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.8034, predictive_accuracy: 0.8085, prior_entropy: 0.8937, recall: 0.8085, relative_absolute_error: 0.6812, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.7864, scimark_benchmark: 1404.0159, usercpu_time_millis: 9250, usercpu_time_millis_testing: 1160, usercpu_time_millis_training: 8090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.7907, kappa: 0.4954, kb_relative_information_score: 28392.3185, mean_absolute_error: 0.2863, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.7977, predictive_accuracy: 0.8025, prior_entropy: 0.8937, recall: 0.8025, relative_absolute_error: 0.6687, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7913, scimark_benchmark: 1347.993, usercpu_time_millis: 200, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.7907, kappa: 0.4954, kb_relative_information_score: 28392.3185, mean_absolute_error: 0.2863, mean_prior_absolute_error: 0.4281, number_of_instances: 81920, precision: 0.7977, predictive_accuracy: 0.8025, prior_entropy: 0.8937, recall: 0.8025, relative_absolute_error: 0.6687, root_mean_prior_squared_error: 0.4627, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7913, scimark_benchmark: 1354.3488, usercpu_time_millis: 200, usercpu_time_millis_testing: 110, 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