OpenML
Supervised Classification on sleuth_ex2016

Supervised Classification on sleuth_ex2016

Task 3726 Supervised Classification sleuth_ex2016 506 runs submitted
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  • mythbusting_1 study_1 study_107 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7754, f_measure: 0.6438, kappa: 0.2871, kb_relative_information_score: 28.0658, mean_absolute_error: 0.3414, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.644, predictive_accuracy: 0.6437, prior_entropy: 0.9992, recall: 0.6437, relative_absolute_error: 0.6836, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.8843, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7751, f_measure: 0.6308, kappa: 0.2611, kb_relative_information_score: 26.1272, mean_absolute_error: 0.357, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6321, predictive_accuracy: 0.6322, prior_entropy: 0.9992, recall: 0.6322, relative_absolute_error: 0.7149, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.8659, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6524, f_measure: 0.6432, kappa: 0.2893, kb_relative_information_score: 24.4427, mean_absolute_error: 0.3599, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.647, predictive_accuracy: 0.6437, prior_entropy: 0.9992, recall: 0.6437, relative_absolute_error: 0.7206, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5896, root_relative_squared_error: 1.1798, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6405, f_measure: 0.6424, kappa: 0.2905, kb_relative_information_score: 24.4423, mean_absolute_error: 0.3599, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6495, predictive_accuracy: 0.6437, prior_entropy: 0.9992, recall: 0.6437, relative_absolute_error: 0.7206, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5896, root_relative_squared_error: 1.1799, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.809, f_measure: 0.7337, kappa: 0.4744, kb_relative_information_score: 33.6609, mean_absolute_error: 0.3097, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.748, predictive_accuracy: 0.7356, prior_entropy: 0.9992, recall: 0.7356, relative_absolute_error: 0.6201, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4588, root_relative_squared_error: 0.9182, scimark_benchmark: 1877.5305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.7583, kappa: 0.5186, kb_relative_information_score: 41.7361, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.763, predictive_accuracy: 0.7586, prior_entropy: 0.9992, recall: 0.7586, relative_absolute_error: 0.5281, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4438, root_relative_squared_error: 0.8881, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.454, f_measure: 0.3527, kb_relative_information_score: -0.1099, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.2675, predictive_accuracy: 0.5172, prior_entropy: 0.9992, recall: 0.5172, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0009, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7455, f_measure: 0.7111, kappa: 0.4223, kb_relative_information_score: 30.248, mean_absolute_error: 0.3352, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7144, predictive_accuracy: 0.7126, prior_entropy: 0.9992, recall: 0.7126, relative_absolute_error: 0.6711, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4614, root_relative_squared_error: 0.9233, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.71, kappa: 0.4214, kb_relative_information_score: 28.3205, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7167, predictive_accuracy: 0.7126, prior_entropy: 0.9992, recall: 0.7126, relative_absolute_error: 0.6969, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.8649, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6833, f_measure: 0.6092, kappa: 0.2175, kb_relative_information_score: 19.4792, mean_absolute_error: 0.3886, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6092, predictive_accuracy: 0.6092, prior_entropy: 0.9992, recall: 0.6092, relative_absolute_error: 0.7781, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5387, root_relative_squared_error: 1.0781, scimark_benchmark: 851.2074, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7757, f_measure: 0.6897, kappa: 0.3791, kb_relative_information_score: 33.3649, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.69, predictive_accuracy: 0.6897, prior_entropy: 0.9992, recall: 0.6897, relative_absolute_error: 0.6194, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4761, root_relative_squared_error: 0.9529, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.7011, kappa: 0.4016, kb_relative_information_score: 32.0729, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7011, predictive_accuracy: 0.7011, prior_entropy: 0.9992, recall: 0.7011, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.918, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.7011, kappa: 0.4016, kb_relative_information_score: 32.0729, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7011, predictive_accuracy: 0.7011, prior_entropy: 0.9992, recall: 0.7011, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.918, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, f_measure: 0.6895, kappa: 0.3781, kb_relative_information_score: 27.4514, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6895, predictive_accuracy: 0.6897, prior_entropy: 0.9992, recall: 0.6897, relative_absolute_error: 0.7086, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.8508, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.7011, kappa: 0.4016, kb_relative_information_score: 32.0729, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7011, predictive_accuracy: 0.7011, prior_entropy: 0.9992, recall: 0.7011, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.918, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6841, f_measure: 0.6418, kappa: 0.2837, kb_relative_information_score: 21.1224, mean_absolute_error: 0.3833, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6442, predictive_accuracy: 0.6437, prior_entropy: 0.9992, recall: 0.6437, relative_absolute_error: 0.7675, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5056, root_relative_squared_error: 1.0118, scimark_benchmark: 931.771, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7071, f_measure: 0.7045, kappa: 0.4186, kb_relative_information_score: 36.9147, mean_absolute_error: 0.2874, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7307, predictive_accuracy: 0.7126, prior_entropy: 0.9992, recall: 0.7126, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5361, root_relative_squared_error: 1.0728, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7757, f_measure: 0.6897, kappa: 0.3791, kb_relative_information_score: 33.3649, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.69, predictive_accuracy: 0.6897, prior_entropy: 0.9992, recall: 0.6897, relative_absolute_error: 0.6194, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4761, root_relative_squared_error: 0.9529, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.7011, kappa: 0.4016, kb_relative_information_score: 32.0729, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7011, predictive_accuracy: 0.7011, prior_entropy: 0.9992, recall: 0.7011, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.918, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.7011, kappa: 0.4016, kb_relative_information_score: 32.0729, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7011, predictive_accuracy: 0.7011, prior_entropy: 0.9992, recall: 0.7011, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.918, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.7011, kappa: 0.4016, kb_relative_information_score: 32.0729, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7011, predictive_accuracy: 0.7011, prior_entropy: 0.9992, recall: 0.7011, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.918, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6841, f_measure: 0.6418, kappa: 0.2837, kb_relative_information_score: 21.1224, mean_absolute_error: 0.3833, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6442, predictive_accuracy: 0.6437, prior_entropy: 0.9992, recall: 0.6437, relative_absolute_error: 0.7675, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5056, root_relative_squared_error: 1.0118, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7751, f_measure: 0.6308, kappa: 0.2611, kb_relative_information_score: 26.1272, mean_absolute_error: 0.357, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6321, predictive_accuracy: 0.6322, prior_entropy: 0.9992, recall: 0.6322, relative_absolute_error: 0.7149, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.8659, scimark_benchmark: 974.2014, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7455, f_measure: 0.7111, kappa: 0.4223, kb_relative_information_score: 30.248, mean_absolute_error: 0.3352, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7144, predictive_accuracy: 0.7126, prior_entropy: 0.9992, recall: 0.7126, relative_absolute_error: 0.6711, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4614, root_relative_squared_error: 0.9233, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.71, kappa: 0.4214, kb_relative_information_score: 28.3205, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7167, predictive_accuracy: 0.7126, prior_entropy: 0.9992, recall: 0.7126, relative_absolute_error: 0.6969, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.8649, scimark_benchmark: 901.6243, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7071, f_measure: 0.7045, kappa: 0.4186, kb_relative_information_score: 36.9147, mean_absolute_error: 0.2874, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7307, predictive_accuracy: 0.7126, prior_entropy: 0.9992, recall: 0.7126, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5361, root_relative_squared_error: 1.0728, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7071, f_measure: 0.7045, kappa: 0.4186, kb_relative_information_score: 36.9147, mean_absolute_error: 0.2874, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7307, predictive_accuracy: 0.7126, prior_entropy: 0.9992, recall: 0.7126, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5361, root_relative_squared_error: 1.0728, scimark_benchmark: 919.3788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7757, f_measure: 0.6897, kappa: 0.3791, kb_relative_information_score: 33.3649, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.69, predictive_accuracy: 0.6897, prior_entropy: 0.9992, recall: 0.6897, relative_absolute_error: 0.6194, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4761, root_relative_squared_error: 0.9529, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.7011, kappa: 0.4016, kb_relative_information_score: 32.0729, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7011, predictive_accuracy: 0.7011, prior_entropy: 0.9992, recall: 0.7011, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.918, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.7011, kappa: 0.4016, kb_relative_information_score: 32.0729, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7011, predictive_accuracy: 0.7011, prior_entropy: 0.9992, recall: 0.7011, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.918, scimark_benchmark: 933.3455, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, f_measure: 0.6895, kappa: 0.3781, kb_relative_information_score: 27.4514, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6895, predictive_accuracy: 0.6897, prior_entropy: 0.9992, recall: 0.6897, relative_absolute_error: 0.7086, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.8508, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, f_measure: 0.6782, kappa: 0.3556, kb_relative_information_score: 25.729, mean_absolute_error: 0.3595, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6782, predictive_accuracy: 0.6782, prior_entropy: 0.9992, recall: 0.6782, relative_absolute_error: 0.7198, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4474, root_relative_squared_error: 0.8953, scimark_benchmark: 936.3213, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.7011, kappa: 0.4016, kb_relative_information_score: 32.0729, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7011, predictive_accuracy: 0.7011, prior_entropy: 0.9992, recall: 0.7011, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.918, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6841, f_measure: 0.6418, kappa: 0.2837, kb_relative_information_score: 21.1224, mean_absolute_error: 0.3833, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6442, predictive_accuracy: 0.6437, prior_entropy: 0.9992, recall: 0.6437, relative_absolute_error: 0.7675, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5056, root_relative_squared_error: 1.0118, scimark_benchmark: 1051.249, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7751, f_measure: 0.6308, kappa: 0.2611, kb_relative_information_score: 26.1272, mean_absolute_error: 0.357, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6321, predictive_accuracy: 0.6322, prior_entropy: 0.9992, recall: 0.6322, relative_absolute_error: 0.7149, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.8659, scimark_benchmark: 936.9595, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7571, f_measure: 0.6635, kappa: 0.3288, kb_relative_information_score: 22.7219, mean_absolute_error: 0.3795, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6692, predictive_accuracy: 0.6667, prior_entropy: 0.9992, recall: 0.6667, relative_absolute_error: 0.7599, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8815, scimark_benchmark: 931.7096, usercpu_time_millis: 560, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7529, f_measure: 0.6744, kappa: 0.3514, kb_relative_information_score: 22.8725, mean_absolute_error: 0.3787, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6823, predictive_accuracy: 0.6782, prior_entropy: 0.9992, recall: 0.6782, relative_absolute_error: 0.7582, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4418, root_relative_squared_error: 0.8841, scimark_benchmark: 941.4991, usercpu_time_millis: 210, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7529, f_measure: 0.6527, kappa: 0.3062, kb_relative_information_score: 22.5632, mean_absolute_error: 0.3797, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6565, predictive_accuracy: 0.6552, prior_entropy: 0.9992, recall: 0.6552, relative_absolute_error: 0.7603, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.8944, scimark_benchmark: 945.2015, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7757, f_measure: 0.6897, kappa: 0.3791, kb_relative_information_score: 33.3649, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.69, predictive_accuracy: 0.6897, prior_entropy: 0.9992, recall: 0.6897, relative_absolute_error: 0.6194, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4761, root_relative_squared_error: 0.9529, scimark_benchmark: 929.0363, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7751, f_measure: 0.6308, kappa: 0.2611, kb_relative_information_score: 26.1272, mean_absolute_error: 0.357, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6321, predictive_accuracy: 0.6322, prior_entropy: 0.9992, recall: 0.6322, relative_absolute_error: 0.7149, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.8659, scimark_benchmark: 1331.7953, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7455, f_measure: 0.7111, kappa: 0.4223, kb_relative_information_score: 30.248, mean_absolute_error: 0.3352, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7144, predictive_accuracy: 0.7126, prior_entropy: 0.9992, recall: 0.7126, relative_absolute_error: 0.6711, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4614, root_relative_squared_error: 0.9233, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.71, kappa: 0.4214, kb_relative_information_score: 28.3205, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7167, predictive_accuracy: 0.7126, prior_entropy: 0.9992, recall: 0.7126, relative_absolute_error: 0.6969, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.8649, scimark_benchmark: 1336.0954, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.7011, kappa: 0.4016, kb_relative_information_score: 32.0729, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7011, predictive_accuracy: 0.7011, prior_entropy: 0.9992, recall: 0.7011, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.918, scimark_benchmark: 1317.5857,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, f_measure: 0.6895, kappa: 0.3781, kb_relative_information_score: 27.4514, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6895, predictive_accuracy: 0.6897, prior_entropy: 0.9992, recall: 0.6897, relative_absolute_error: 0.7086, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.8508, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7757, f_measure: 0.6897, kappa: 0.3791, kb_relative_information_score: 33.3649, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.69, predictive_accuracy: 0.6897, prior_entropy: 0.9992, recall: 0.6897, relative_absolute_error: 0.6194, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4761, root_relative_squared_error: 0.9529, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6841, f_measure: 0.6418, kappa: 0.2837, kb_relative_information_score: 21.1224, mean_absolute_error: 0.3833, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6442, predictive_accuracy: 0.6437, prior_entropy: 0.9992, recall: 0.6437, relative_absolute_error: 0.7675, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5056, root_relative_squared_error: 1.0118, scimark_benchmark: 1317.2327, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7455, f_measure: 0.7111, kappa: 0.4223, kb_relative_information_score: 30.248, mean_absolute_error: 0.3352, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.7144, predictive_accuracy: 0.7126, prior_entropy: 0.9992, recall: 0.7126, relative_absolute_error: 0.6711, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4614, root_relative_squared_error: 0.9233, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6833, f_measure: 0.6092, kappa: 0.2175, kb_relative_information_score: 19.4792, mean_absolute_error: 0.3886, mean_prior_absolute_error: 0.4994, number_of_instances: 87, precision: 0.6092, predictive_accuracy: 0.6092, prior_entropy: 0.9992, recall: 0.6092, relative_absolute_error: 0.7781, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5387, root_relative_squared_error: 1.0781, scimark_benchmark: 1317.071,

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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs