Task
Supervised Classification on fri_c0_500_10

Supervised Classification on fri_c0_500_10

Task 3806 Supervised Classification fri_c0_500_10 591 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, f_measure: 0.7999, kappa: 0.5993, kb_relative_information_score: 217.1022, mean_absolute_error: 0.2954, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9991, recall: 0.8, relative_absolute_error: 0.5915, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.7778, scimark_benchmark: 1873.1108, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.8331, kappa: 0.6662, kb_relative_information_score: 333.688, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8379, predictive_accuracy: 0.834, prior_entropy: 0.9991, recall: 0.834, relative_absolute_error: 0.3324, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.8154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.8138, kappa: 0.6269, kb_relative_information_score: 313.6508, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8143, predictive_accuracy: 0.814, prior_entropy: 0.9991, recall: 0.814, relative_absolute_error: 0.3725, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4313, root_relative_squared_error: 0.8631, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8409, f_measure: 0.8417, kappa: 0.683, kb_relative_information_score: 341.7028, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8426, predictive_accuracy: 0.842, prior_entropy: 0.9991, recall: 0.842, relative_absolute_error: 0.3164, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.7955, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.8136, kappa: 0.6267, kb_relative_information_score: 252.604, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8147, predictive_accuracy: 0.814, prior_entropy: 0.9991, recall: 0.814, relative_absolute_error: 0.5252, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.7678, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, f_measure: 0.8336, kappa: 0.6668, kb_relative_information_score: 273.1794, mean_absolute_error: 0.2418, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8352, predictive_accuracy: 0.834, prior_entropy: 0.9991, recall: 0.834, relative_absolute_error: 0.4842, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.7549, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8889, f_measure: 0.802, kappa: 0.6033, kb_relative_information_score: 213.4136, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.802, predictive_accuracy: 0.802, prior_entropy: 0.9991, recall: 0.802, relative_absolute_error: 0.6109, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.371, root_relative_squared_error: 0.7425, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.856, kappa: 0.7115, kb_relative_information_score: 244.4157, mean_absolute_error: 0.2765, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.856, predictive_accuracy: 0.856, prior_entropy: 0.9991, recall: 0.856, relative_absolute_error: 0.5536, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3374, root_relative_squared_error: 0.6752, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.8738, kappa: 0.7473, kb_relative_information_score: 373.7623, mean_absolute_error: 0.126, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8745, predictive_accuracy: 0.874, prior_entropy: 0.9991, recall: 0.874, relative_absolute_error: 0.2523, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.355, root_relative_squared_error: 0.7104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8889, f_measure: 0.806, kappa: 0.6113, kb_relative_information_score: 211.3879, mean_absolute_error: 0.3072, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.806, predictive_accuracy: 0.806, prior_entropy: 0.9991, recall: 0.806, relative_absolute_error: 0.6153, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3718, root_relative_squared_error: 0.7441, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.854, kappa: 0.7076, kb_relative_information_score: 242.2373, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.854, predictive_accuracy: 0.854, prior_entropy: 0.9991, recall: 0.854, relative_absolute_error: 0.5582, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.339, root_relative_squared_error: 0.6785, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8892, f_measure: 0.8899, kappa: 0.7794, kb_relative_information_score: 389.792, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8904, predictive_accuracy: 0.89, prior_entropy: 0.9991, recall: 0.89, relative_absolute_error: 0.2203, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.6638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8172, f_measure: 0.8186, kappa: 0.6377, kb_relative_information_score: 319.662, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8259, predictive_accuracy: 0.82, prior_entropy: 0.9991, recall: 0.82, relative_absolute_error: 0.3605, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8889, f_measure: 0.806, kappa: 0.6113, kb_relative_information_score: 211.3879, mean_absolute_error: 0.3072, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.806, predictive_accuracy: 0.806, prior_entropy: 0.9991, recall: 0.806, relative_absolute_error: 0.6153, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3718, root_relative_squared_error: 0.7441, scimark_benchmark: 1887.4343, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.7797, kappa: 0.5587, kb_relative_information_score: 240.189, mean_absolute_error: 0.2698, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.7803, predictive_accuracy: 0.78, prior_entropy: 0.9991, recall: 0.78, relative_absolute_error: 0.5404, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.413, root_relative_squared_error: 0.8265, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.8075, kappa: 0.6145, kb_relative_information_score: 297.9707, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8091, predictive_accuracy: 0.808, prior_entropy: 0.9991, recall: 0.808, relative_absolute_error: 0.4107, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8222, 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: 0.8856, f_measure: 0.79, kappa: 0.5794, kb_relative_information_score: 262.978, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.79, predictive_accuracy: 0.79, prior_entropy: 0.9991, recall: 0.79, relative_absolute_error: 0.4886, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.375, root_relative_squared_error: 0.7504, scimark_benchmark: 1806.5905, usercpu_time_millis: 62.4004, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 46.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.8658, kappa: 0.7312, kb_relative_information_score: 279.0845, mean_absolute_error: 0.2395, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8665, predictive_accuracy: 0.866, prior_entropy: 0.9991, recall: 0.866, relative_absolute_error: 0.4796, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3161, root_relative_squared_error: 0.6325, scimark_benchmark: 1806.5905, usercpu_time_millis: 109.2007, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 93.6006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7392, f_measure: 0.7399, kappa: 0.4789, kb_relative_information_score: 238.7459, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.7399, predictive_accuracy: 0.74, prior_entropy: 0.9991, recall: 0.74, relative_absolute_error: 0.5228, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5088, root_relative_squared_error: 1.0182, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7434, f_measure: 0.7439, kappa: 0.487, kb_relative_information_score: 242.7405, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.7439, predictive_accuracy: 0.744, prior_entropy: 0.9991, recall: 0.744, relative_absolute_error: 0.5148, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5048, root_relative_squared_error: 1.0104, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8889, f_measure: 0.806, kappa: 0.6113, kb_relative_information_score: 211.3879, mean_absolute_error: 0.3072, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.806, predictive_accuracy: 0.806, prior_entropy: 0.9991, recall: 0.806, relative_absolute_error: 0.6153, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3718, root_relative_squared_error: 0.7441, scimark_benchmark: 1877.5305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.854, kappa: 0.7076, kb_relative_information_score: 242.2373, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.854, predictive_accuracy: 0.854, prior_entropy: 0.9991, recall: 0.854, relative_absolute_error: 0.5582, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.339, root_relative_squared_error: 0.6785, scimark_benchmark: 1850.8887, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.3535, kb_relative_information_score: -0.0124, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.2683, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8027, f_measure: 0.8036, kappa: 0.6067, kb_relative_information_score: 303.6322, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8046, predictive_accuracy: 0.804, prior_entropy: 0.9991, recall: 0.804, relative_absolute_error: 0.3925, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.886, usercpu_time_millis: 22.8, usercpu_time_millis_testing: 0.476, usercpu_time_millis_training: 22.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7377, f_measure: 0.738, kappa: 0.4754, kb_relative_information_score: 237.5097, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.738, predictive_accuracy: 0.738, prior_entropy: 0.9991, recall: 0.738, relative_absolute_error: 0.5247, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5119, root_relative_squared_error: 1.0244, usercpu_time_millis: 1.63, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 1.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.8618, kappa: 0.7232, kb_relative_information_score: 361.74, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8625, predictive_accuracy: 0.862, prior_entropy: 0.9991, recall: 0.862, relative_absolute_error: 0.2764, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7434, usercpu_time_millis: 0.621, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 0.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8374, f_measure: 0.8379, kappa: 0.6753, kb_relative_information_score: 337.6954, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.838, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.3244, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8055, usercpu_time_millis: 0.434, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8398, f_measure: 0.84, kappa: 0.6796, kb_relative_information_score: 339.6991, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 0.9991, recall: 0.84, relative_absolute_error: 0.3204, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8005, usercpu_time_millis: 0.19, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6122, f_measure: 0.6003, kappa: 0.2277, kb_relative_information_score: 119.2905, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.6379, predictive_accuracy: 0.62, prior_entropy: 0.9991, recall: 0.62, relative_absolute_error: 0.761, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6164, root_relative_squared_error: 1.2337, usercpu_time_millis: 0.381, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8232, f_measure: 0.8239, kappa: 0.6471, kb_relative_information_score: 323.6694, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8241, predictive_accuracy: 0.824, prior_entropy: 0.9991, recall: 0.824, relative_absolute_error: 0.3525, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.8396, usercpu_time_millis: 0.194, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8471, f_measure: 0.8478, kappa: 0.6952, kb_relative_information_score: 347.714, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8483, predictive_accuracy: 0.848, prior_entropy: 0.9991, recall: 0.848, relative_absolute_error: 0.3044, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7802, usercpu_time_millis: 5.743, usercpu_time_millis_testing: 0.58, usercpu_time_millis_training: 5.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8173, f_measure: 0.8179, kappa: 0.6352, kb_relative_information_score: 317.6582, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8181, predictive_accuracy: 0.818, prior_entropy: 0.9991, recall: 0.818, relative_absolute_error: 0.3645, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.8538, usercpu_time_millis: 10.539, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 10.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.8615, kappa: 0.7228, kb_relative_information_score: 361.74, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8642, predictive_accuracy: 0.862, prior_entropy: 0.9991, recall: 0.862, relative_absolute_error: 0.2764, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7434, usercpu_time_millis: 31.043, usercpu_time_millis_testing: 4.123, usercpu_time_millis_training: 26.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.874, kappa: 0.7478, kb_relative_information_score: 373.7623, mean_absolute_error: 0.126, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8741, predictive_accuracy: 0.874, prior_entropy: 0.9991, recall: 0.874, relative_absolute_error: 0.2523, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.355, root_relative_squared_error: 0.7104, usercpu_time_millis: 389.906, usercpu_time_millis_testing: 5.635, usercpu_time_millis_training: 384.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8195, f_measure: 0.8209, kappa: 0.6419, kb_relative_information_score: 321.6657, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8263, predictive_accuracy: 0.822, prior_entropy: 0.9991, recall: 0.822, relative_absolute_error: 0.3565, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.8443, usercpu_time_millis: 99.537, usercpu_time_millis_testing: 0.21, usercpu_time_millis_training: 99.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.8676, kappa: 0.7349, kb_relative_information_score: 367.7511, mean_absolute_error: 0.132, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.87, predictive_accuracy: 0.868, prior_entropy: 0.9991, recall: 0.868, relative_absolute_error: 0.2643, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7271, usercpu_time_millis: 4.859, usercpu_time_millis_testing: 0.332, usercpu_time_millis_training: 4.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.8719, kappa: 0.7433, kb_relative_information_score: 371.7585, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8724, predictive_accuracy: 0.872, prior_entropy: 0.9991, recall: 0.872, relative_absolute_error: 0.2563, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.716, usercpu_time_millis: 4.618, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 4.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.8359, kappa: 0.6712, kb_relative_information_score: 335.6917, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8362, predictive_accuracy: 0.836, prior_entropy: 0.9991, recall: 0.836, relative_absolute_error: 0.3284, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8105, usercpu_time_millis: 0.202, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.8379, kappa: 0.6753, kb_relative_information_score: 337.6954, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8381, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.3244, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8055, usercpu_time_millis: 0.223, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.834, kappa: 0.6676, kb_relative_information_score: 333.688, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.834, predictive_accuracy: 0.834, prior_entropy: 0.9991, recall: 0.834, relative_absolute_error: 0.3324, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.8154, usercpu_time_millis: 0.693, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.8378, kappa: 0.6752, kb_relative_information_score: 337.6954, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.3244, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8055, usercpu_time_millis: 0.521, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8023, f_measure: 0.8034, kappa: 0.6064, kb_relative_information_score: 303.6322, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8054, predictive_accuracy: 0.804, prior_entropy: 0.9991, recall: 0.804, relative_absolute_error: 0.3925, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.886, usercpu_time_millis: 2.405, usercpu_time_millis_testing: 0.791, usercpu_time_millis_training: 1.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, f_measure: 0.8264, kappa: 0.6536, kb_relative_information_score: 327.6768, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8357, predictive_accuracy: 0.828, prior_entropy: 0.9991, recall: 0.828, relative_absolute_error: 0.3444, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.83, usercpu_time_millis: 1.317, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 1.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.8293, kappa: 0.6583, kb_relative_information_score: 329.6805, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8327, predictive_accuracy: 0.83, prior_entropy: 0.9991, recall: 0.83, relative_absolute_error: 0.3404, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8252, usercpu_time_millis: 26.771, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 26.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.613, f_measure: 0.6137, kappa: 0.2262, kb_relative_information_score: 113.2793, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.6137, predictive_accuracy: 0.614, prior_entropy: 0.9991, recall: 0.614, relative_absolute_error: 0.773, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6213, root_relative_squared_error: 1.2434, usercpu_time_millis: 1.276, usercpu_time_millis_testing: 0.424, usercpu_time_millis_training: 0.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.641, f_measure: 0.6417, kappa: 0.2823, kb_relative_information_score: 141.3313, mean_absolute_error: 0.358, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.6417, predictive_accuracy: 0.642, prior_entropy: 0.9991, recall: 0.642, relative_absolute_error: 0.7169, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5983, root_relative_squared_error: 1.1974, usercpu_time_millis: 0.219, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8557, f_measure: 0.856, kappa: 0.7115, kb_relative_information_score: 355.7288, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.856, predictive_accuracy: 0.856, prior_entropy: 0.9991, recall: 0.856, relative_absolute_error: 0.2884, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7594, usercpu_time_millis: 0.577, usercpu_time_millis_testing: 0.422, usercpu_time_millis_training: 0.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, f_measure: 0.796, kappa: 0.5924, kb_relative_information_score: 295.6174, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.7977, predictive_accuracy: 0.796, prior_entropy: 0.9991, recall: 0.796, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9039, usercpu_time_millis: 0.534, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 0.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, f_measure: 0.812, kappa: 0.6237, kb_relative_information_score: 311.6471, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8122, predictive_accuracy: 0.812, prior_entropy: 0.9991, recall: 0.812, relative_absolute_error: 0.3765, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8677, usercpu_time_millis: 13.573, usercpu_time_millis_testing: 1.086, usercpu_time_millis_training: 12.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8435, f_measure: 0.8439, kappa: 0.6874, kb_relative_information_score: 343.7065, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.844, predictive_accuracy: 0.844, prior_entropy: 0.9991, recall: 0.844, relative_absolute_error: 0.3124, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7904, usercpu_time_millis: 0.552, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8389, f_measure: 0.8398, kappa: 0.679, kb_relative_information_score: 339.6991, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8405, predictive_accuracy: 0.84, prior_entropy: 0.9991, recall: 0.84, relative_absolute_error: 0.3204, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8005, usercpu_time_millis: 1.365, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 1.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.8378, kappa: 0.6752, kb_relative_information_score: 337.6954, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.3244, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8055, usercpu_time_millis: 0.219, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 0.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.8378, kappa: 0.6752, kb_relative_information_score: 337.6954, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.3244, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8055, usercpu_time_millis: 0.602, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, f_measure: 0.8399, kappa: 0.6794, kb_relative_information_score: 339.6991, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 0.9991, recall: 0.84, relative_absolute_error: 0.3204, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8005, usercpu_time_millis: 0.222, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 0.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8414, f_measure: 0.8419, kappa: 0.6834, kb_relative_information_score: 341.7028, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.842, predictive_accuracy: 0.842, prior_entropy: 0.9991, recall: 0.842, relative_absolute_error: 0.3164, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.7955, usercpu_time_millis: 0.057, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.8379, kappa: 0.6753, kb_relative_information_score: 337.6954, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8381, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.3244, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8055, usercpu_time_millis: 0.046, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.8075, kappa: 0.6145, kb_relative_information_score: 307.6397, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8091, predictive_accuracy: 0.808, prior_entropy: 0.9991, recall: 0.808, relative_absolute_error: 0.3845, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.8769, usercpu_time_millis: 2.818, usercpu_time_millis_testing: 0.962, usercpu_time_millis_training: 1.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.8176, kappa: 0.6346, kb_relative_information_score: 317.6582, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.819, predictive_accuracy: 0.818, prior_entropy: 0.9991, recall: 0.818, relative_absolute_error: 0.3645, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.8538, usercpu_time_millis: 2.579, usercpu_time_millis_testing: 0.691, usercpu_time_millis_training: 1.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7974, f_measure: 0.7979, kappa: 0.5952, kb_relative_information_score: 297.6211, mean_absolute_error: 0.202, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.798, predictive_accuracy: 0.798, prior_entropy: 0.9991, recall: 0.798, relative_absolute_error: 0.4045, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.8995, usercpu_time_millis: 0.202, usercpu_time_millis_testing: 0.189, usercpu_time_millis_training: 0.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8628, f_measure: 0.8638, kappa: 0.7271, kb_relative_information_score: 363.7437, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8649, predictive_accuracy: 0.864, prior_entropy: 0.9991, recall: 0.864, relative_absolute_error: 0.2724, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.738, usercpu_time_millis: 0.503, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 0.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7434, f_measure: 0.7439, kappa: 0.487, kb_relative_information_score: 243.5208, mean_absolute_error: 0.256, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.7439, predictive_accuracy: 0.744, prior_entropy: 0.9991, recall: 0.744, relative_absolute_error: 0.5127, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.506, root_relative_squared_error: 1.0126, usercpu_time_millis: 2.482, usercpu_time_millis_testing: 0.801, usercpu_time_millis_training: 1.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.838, kappa: 0.6754, kb_relative_information_score: 337.6954, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.838, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.3244, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8055, usercpu_time_millis: 0.677, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 0.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.854, kappa: 0.7077, kb_relative_information_score: 353.7251, mean_absolute_error: 0.146, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.854, predictive_accuracy: 0.854, prior_entropy: 0.9991, recall: 0.854, relative_absolute_error: 0.2924, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3821, root_relative_squared_error: 0.7647, usercpu_time_millis: 1.477, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 1.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8435, f_measure: 0.8439, kappa: 0.6874, kb_relative_information_score: 343.7065, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.844, predictive_accuracy: 0.844, prior_entropy: 0.9991, recall: 0.844, relative_absolute_error: 0.3124, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7904, usercpu_time_millis: 0.488, usercpu_time_millis_testing: 0.215, usercpu_time_millis_training: 0.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, f_measure: 0.8577, kappa: 0.715, kb_relative_information_score: 357.7325, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.859, predictive_accuracy: 0.858, prior_entropy: 0.9991, recall: 0.858, relative_absolute_error: 0.2844, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.7541, usercpu_time_millis: 1.945, usercpu_time_millis_testing: 0.258, usercpu_time_millis_training: 1.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5748, f_measure: 0.4986, kappa: 0.1542, kb_relative_information_score: 89.2348, mean_absolute_error: 0.41, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.7586, predictive_accuracy: 0.59, prior_entropy: 0.9991, recall: 0.59, relative_absolute_error: 0.8211, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6403, root_relative_squared_error: 1.2815, usercpu_time_millis: 0.441, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7091, f_measure: 0.708, kappa: 0.4169, kb_relative_information_score: 207.4539, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.7102, predictive_accuracy: 0.708, prior_entropy: 0.9991, recall: 0.708, relative_absolute_error: 0.5848, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5404, root_relative_squared_error: 1.0814, usercpu_time_millis: 0.331, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.8919, kappa: 0.7834, kb_relative_information_score: 391.7957, mean_absolute_error: 0.108, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8925, predictive_accuracy: 0.892, prior_entropy: 0.9991, recall: 0.892, relative_absolute_error: 0.2163, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3286, root_relative_squared_error: 0.6577, usercpu_time_millis: 108.346, usercpu_time_millis_testing: 8.086, usercpu_time_millis_training: 100.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8143, f_measure: 0.8154, kappa: 0.6305, kb_relative_information_score: 315.6545, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8175, predictive_accuracy: 0.816, prior_entropy: 0.9991, recall: 0.816, relative_absolute_error: 0.3685, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.429, root_relative_squared_error: 0.8585, usercpu_time_millis: 0.893, usercpu_time_millis_testing: 0.318, usercpu_time_millis_training: 0.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8562, f_measure: 0.8575, kappa: 0.7147, kb_relative_information_score: 357.7325, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8606, predictive_accuracy: 0.858, prior_entropy: 0.9991, recall: 0.858, relative_absolute_error: 0.2844, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.7541, usercpu_time_millis: 26.702, usercpu_time_millis_testing: 3.046, usercpu_time_millis_training: 23.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.859, f_measure: 0.8598, kappa: 0.7192, kb_relative_information_score: 359.7363, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8606, predictive_accuracy: 0.86, prior_entropy: 0.9991, recall: 0.86, relative_absolute_error: 0.2804, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7488, usercpu_time_millis: 2.836, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 2.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8794, f_measure: 0.8799, kappa: 0.7595, kb_relative_information_score: 379.7734, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8801, predictive_accuracy: 0.88, prior_entropy: 0.9991, recall: 0.88, relative_absolute_error: 0.2403, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.6933, usercpu_time_millis: 19.981, usercpu_time_millis_testing: 2.506, usercpu_time_millis_training: 17.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.8378, kappa: 0.6752, kb_relative_information_score: 337.6954, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.3244, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8055, usercpu_time_millis: 0.687, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 0.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.8458, kappa: 0.6911, kb_relative_information_score: 345.7102, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8464, predictive_accuracy: 0.846, prior_entropy: 0.9991, recall: 0.846, relative_absolute_error: 0.3084, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.7854, usercpu_time_millis: 3.06, usercpu_time_millis_testing: 0.187, usercpu_time_millis_training: 2.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7524, f_measure: 0.7521, kappa: 0.5041, kb_relative_information_score: 251.5357, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.7528, predictive_accuracy: 0.752, prior_entropy: 0.9991, recall: 0.752, relative_absolute_error: 0.4966, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9966, usercpu_time_millis: 1.191, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 1.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, f_measure: 0.8375, kappa: 0.6746, kb_relative_information_score: 266.799, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8399, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.7236, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.8378, kappa: 0.6752, kb_relative_information_score: 242.4717, mean_absolute_error: 0.2772, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.555, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.343, root_relative_squared_error: 0.6865, scimark_benchmark: 972.587, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.8359, kappa: 0.6714, kb_relative_information_score: 279.2013, mean_absolute_error: 0.2335, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.836, predictive_accuracy: 0.836, prior_entropy: 0.9991, recall: 0.836, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.6818, scimark_benchmark: 851.2074, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.8598, kappa: 0.7192, kb_relative_information_score: 359.7363, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8604, predictive_accuracy: 0.86, prior_entropy: 0.9991, recall: 0.86, relative_absolute_error: 0.2804, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7488, scimark_benchmark: 931.771, usercpu_time_millis: 130, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.8598, kappa: 0.7192, kb_relative_information_score: 359.7363, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8604, predictive_accuracy: 0.86, prior_entropy: 0.9991, recall: 0.86, relative_absolute_error: 0.2804, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7488, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.8361, kappa: 0.672, kb_relative_information_score: 220.4399, mean_absolute_error: 0.2993, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8365, predictive_accuracy: 0.836, prior_entropy: 0.9991, recall: 0.836, relative_absolute_error: 0.5994, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7261, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8378, kappa: 0.6752, kb_relative_information_score: 232.5178, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7163, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8378, kappa: 0.6752, kb_relative_information_score: 232.5178, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7163, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8378, kappa: 0.6752, kb_relative_information_score: 232.5178, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7163, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8378, kappa: 0.6752, kb_relative_information_score: 232.5178, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7163, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.8536, kappa: 0.7068, kb_relative_information_score: 287.4092, mean_absolute_error: 0.2287, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8557, predictive_accuracy: 0.854, prior_entropy: 0.9991, recall: 0.854, relative_absolute_error: 0.4581, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3224, root_relative_squared_error: 0.6452, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.86, kappa: 0.7196, kb_relative_information_score: 292.307, mean_absolute_error: 0.2209, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 0.9991, recall: 0.86, relative_absolute_error: 0.4423, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3214, root_relative_squared_error: 0.6433, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8378, kappa: 0.6752, kb_relative_information_score: 232.5178, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7163, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.805, kappa: 0.61, kb_relative_information_score: 256.0432, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8089, predictive_accuracy: 0.806, prior_entropy: 0.9991, recall: 0.806, relative_absolute_error: 0.5124, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3833, root_relative_squared_error: 0.7672, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.8598, kappa: 0.7192, kb_relative_information_score: 359.7363, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8604, predictive_accuracy: 0.86, prior_entropy: 0.9991, recall: 0.86, relative_absolute_error: 0.2804, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7488, scimark_benchmark: 932.438, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.8361, kappa: 0.672, kb_relative_information_score: 220.4399, mean_absolute_error: 0.2993, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8365, predictive_accuracy: 0.836, prior_entropy: 0.9991, recall: 0.836, relative_absolute_error: 0.5994, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7261, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8378, kappa: 0.6752, kb_relative_information_score: 232.5178, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7163, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8378, kappa: 0.6752, kb_relative_information_score: 232.5178, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7163, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.805, kappa: 0.61, kb_relative_information_score: 256.0432, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8089, predictive_accuracy: 0.806, prior_entropy: 0.9991, recall: 0.806, relative_absolute_error: 0.5124, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3833, root_relative_squared_error: 0.7672, scimark_benchmark: 936.3373, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.8658, kappa: 0.7312, kb_relative_information_score: 279.0845, mean_absolute_error: 0.2395, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8665, predictive_accuracy: 0.866, prior_entropy: 0.9991, recall: 0.866, relative_absolute_error: 0.4796, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3161, root_relative_squared_error: 0.6325, scimark_benchmark: 943.1009, usercpu_time_millis: 170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, f_measure: 0.8375, kappa: 0.6746, kb_relative_information_score: 266.799, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8399, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.7236, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.8378, kappa: 0.6752, kb_relative_information_score: 242.4717, mean_absolute_error: 0.2772, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.555, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.343, root_relative_squared_error: 0.6865, scimark_benchmark: 901.6243, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.8359, kappa: 0.6714, kb_relative_information_score: 279.2013, mean_absolute_error: 0.2335, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.836, predictive_accuracy: 0.836, prior_entropy: 0.9991, recall: 0.836, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.6818, scimark_benchmark: 944.0133, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.8598, kappa: 0.7192, kb_relative_information_score: 359.7363, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8604, predictive_accuracy: 0.86, prior_entropy: 0.9991, recall: 0.86, relative_absolute_error: 0.2804, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7488, scimark_benchmark: 926.5462, usercpu_time_millis: 70, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.8598, kappa: 0.7192, kb_relative_information_score: 359.7363, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8604, predictive_accuracy: 0.86, prior_entropy: 0.9991, recall: 0.86, relative_absolute_error: 0.2804, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7488, scimark_benchmark: 934.5964, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,

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