OpenML
Supervised Classification on visualizing_environmental

Supervised Classification on visualizing_environmental

Task 3602 Supervised Classification visualizing_environmental 989 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6295, f_measure: 0.6305, kappa: 0.2592, kb_relative_information_score: 28.7622, mean_absolute_error: 0.3694, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.6304, predictive_accuracy: 0.6306, prior_entropy: 0.9986, recall: 0.6306, relative_absolute_error: 0.7402, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6078, root_relative_squared_error: 1.2168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6783, f_measure: 0.675, kappa: 0.3542, kb_relative_information_score: 38.7905, mean_absolute_error: 0.3243, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.6815, predictive_accuracy: 0.6757, prior_entropy: 0.9986, recall: 0.6757, relative_absolute_error: 0.6499, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5695, root_relative_squared_error: 1.1401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6594, f_measure: 0.6575, kappa: 0.3173, kb_relative_information_score: 34.7792, mean_absolute_error: 0.3423, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.6612, predictive_accuracy: 0.6577, prior_entropy: 0.9986, recall: 0.6577, relative_absolute_error: 0.6861, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5851, root_relative_squared_error: 1.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7176, f_measure: 0.7076, kappa: 0.4297, kb_relative_information_score: 46.8132, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7344, predictive_accuracy: 0.7117, prior_entropy: 0.9986, recall: 0.7117, relative_absolute_error: 0.5777, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5369, root_relative_squared_error: 1.0749, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7004, f_measure: 0.6878, kappa: 0.395, kb_relative_information_score: 42.8019, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7206, predictive_accuracy: 0.6937, prior_entropy: 0.9986, recall: 0.6937, relative_absolute_error: 0.6138, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5534, root_relative_squared_error: 1.108, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6877, f_measure: 0.6838, kappa: 0.3727, kb_relative_information_score: 40.7962, mean_absolute_error: 0.3153, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.6919, predictive_accuracy: 0.6847, prior_entropy: 0.9986, recall: 0.6847, relative_absolute_error: 0.6319, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5615, root_relative_squared_error: 1.1242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7173, f_measure: 0.6755, kappa: 0.3532, kb_relative_information_score: 30.6679, mean_absolute_error: 0.3701, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.6793, predictive_accuracy: 0.6757, prior_entropy: 0.9986, recall: 0.6757, relative_absolute_error: 0.7417, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4578, root_relative_squared_error: 0.9166, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.702, f_measure: 0.6667, kappa: 0.3347, kb_relative_information_score: 26.7904, mean_absolute_error: 0.3871, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.6694, predictive_accuracy: 0.6667, prior_entropy: 0.9986, recall: 0.6667, relative_absolute_error: 0.7758, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4751, root_relative_squared_error: 0.9512, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7807, f_measure: 0.7213, kappa: 0.4679, kb_relative_information_score: 37.8874, mean_absolute_error: 0.3386, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7764, predictive_accuracy: 0.7297, prior_entropy: 0.9986, recall: 0.7297, relative_absolute_error: 0.6785, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4351, root_relative_squared_error: 0.8712, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7306, f_measure: 0.6991, kappa: 0.4114, kb_relative_information_score: 36.3662, mean_absolute_error: 0.343, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7221, predictive_accuracy: 0.7027, prior_entropy: 0.9986, recall: 0.7027, relative_absolute_error: 0.6873, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4695, root_relative_squared_error: 0.94, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6688, f_measure: 0.6663, kappa: 0.3358, kb_relative_information_score: 36.7849, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.6712, predictive_accuracy: 0.6667, prior_entropy: 0.9986, recall: 0.6667, relative_absolute_error: 0.668, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.1559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6537, f_measure: 0.6924, kappa: 0.4151, kb_relative_information_score: 28.1299, mean_absolute_error: 0.3853, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7494, predictive_accuracy: 0.7027, prior_entropy: 0.9986, recall: 0.7027, relative_absolute_error: 0.7721, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9046, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6537, f_measure: 0.6924, kappa: 0.4151, kb_relative_information_score: 28.1299, mean_absolute_error: 0.3853, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7494, predictive_accuracy: 0.7027, prior_entropy: 0.9986, recall: 0.7027, relative_absolute_error: 0.7721, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9046, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7754, f_measure: 0.6933, kappa: 0.3851, kb_relative_information_score: 40.7276, mean_absolute_error: 0.3168, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.6934, predictive_accuracy: 0.6937, prior_entropy: 0.9986, recall: 0.6937, relative_absolute_error: 0.6349, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4652, root_relative_squared_error: 0.9314, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7269, f_measure: 0.7119, kappa: 0.4232, kb_relative_information_score: 29.4563, mean_absolute_error: 0.3779, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7125, predictive_accuracy: 0.7117, prior_entropy: 0.9986, recall: 0.7117, relative_absolute_error: 0.7574, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4697, root_relative_squared_error: 0.9403, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.751, f_measure: 0.7015, kappa: 0.4018, kb_relative_information_score: 43.2132, mean_absolute_error: 0.3054, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7032, predictive_accuracy: 0.7027, prior_entropy: 0.9986, recall: 0.7027, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5096, root_relative_squared_error: 1.0202, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6075, f_measure: 0.6305, kappa: 0.2592, kb_relative_information_score: 28.3483, mean_absolute_error: 0.3719, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.6304, predictive_accuracy: 0.6306, prior_entropy: 0.9986, recall: 0.6306, relative_absolute_error: 0.7454, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6018, root_relative_squared_error: 1.2049, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7809, f_measure: 0.7213, kappa: 0.4679, kb_relative_information_score: 37.6246, mean_absolute_error: 0.3397, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7764, predictive_accuracy: 0.7297, prior_entropy: 0.9986, recall: 0.7297, relative_absolute_error: 0.6807, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4358, root_relative_squared_error: 0.8724, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.731, f_measure: 0.6991, kappa: 0.4114, kb_relative_information_score: 36.2348, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7221, predictive_accuracy: 0.7027, prior_entropy: 0.9986, recall: 0.7027, relative_absolute_error: 0.6886, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4697, root_relative_squared_error: 0.9404, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4662, f_measure: 0.3587, kb_relative_information_score: -0.0932, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.273, predictive_accuracy: 0.5225, prior_entropy: 0.9986, recall: 0.5225, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0006, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.73, f_measure: 0.7299, kappa: 0.4592, kb_relative_information_score: 50.8245, mean_absolute_error: 0.2703, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7305, predictive_accuracy: 0.7297, prior_entropy: 0.9986, recall: 0.7297, relative_absolute_error: 0.5416, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5199, root_relative_squared_error: 1.0408, usercpu_time_millis: 3.195, usercpu_time_millis_testing: 0.717, usercpu_time_millis_training: 2.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.7105, kappa: 0.4269, kb_relative_information_score: 46.8132, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7211, predictive_accuracy: 0.7117, prior_entropy: 0.9986, recall: 0.7117, relative_absolute_error: 0.5777, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5369, root_relative_squared_error: 1.0749, usercpu_time_millis: 0.068, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7373, f_measure: 0.723, kappa: 0.467, kb_relative_information_score: 50.8245, mean_absolute_error: 0.2703, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7677, predictive_accuracy: 0.7297, prior_entropy: 0.9986, recall: 0.7297, relative_absolute_error: 0.5416, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5199, root_relative_squared_error: 1.0408, usercpu_time_millis: 0.43, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 0.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7144, f_measure: 0.7112, kappa: 0.426, kb_relative_information_score: 46.8132, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.718, predictive_accuracy: 0.7117, prior_entropy: 0.9986, recall: 0.7117, relative_absolute_error: 0.5777, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5369, root_relative_squared_error: 1.0749, usercpu_time_millis: 0.522, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.595, f_measure: 0.5948, kappa: 0.1895, kb_relative_information_score: 20.7396, mean_absolute_error: 0.4054, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.5959, predictive_accuracy: 0.5946, prior_entropy: 0.9986, recall: 0.5946, relative_absolute_error: 0.8124, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6367, root_relative_squared_error: 1.2747, usercpu_time_millis: 0.126, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6303, f_measure: 0.6308, kappa: 0.2604, kb_relative_information_score: 28.7622, mean_absolute_error: 0.3694, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.631, predictive_accuracy: 0.6306, prior_entropy: 0.9986, recall: 0.6306, relative_absolute_error: 0.7402, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6078, root_relative_squared_error: 1.2168, usercpu_time_millis: 0.022, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6807, f_measure: 0.6723, kappa: 0.3574, kb_relative_information_score: 38.7905, mean_absolute_error: 0.3243, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.6912, predictive_accuracy: 0.6757, prior_entropy: 0.9986, recall: 0.6757, relative_absolute_error: 0.6499, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5695, root_relative_squared_error: 1.1401, usercpu_time_millis: 0.072, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6815, f_measure: 0.671, kappa: 0.3584, kb_relative_information_score: 38.7905, mean_absolute_error: 0.3243, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.6957, predictive_accuracy: 0.6757, prior_entropy: 0.9986, recall: 0.6757, relative_absolute_error: 0.6499, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5695, root_relative_squared_error: 1.1401, usercpu_time_millis: 0.069, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3587, kb_relative_information_score: 4.6943, mean_absolute_error: 0.4775, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.273, predictive_accuracy: 0.5225, prior_entropy: 0.9986, recall: 0.5225, relative_absolute_error: 0.9569, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.691, root_relative_squared_error: 1.3834, usercpu_time_millis: 0.061, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 0.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6861, f_measure: 0.6847, kappa: 0.3706, kb_relative_information_score: 40.7962, mean_absolute_error: 0.3153, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.6875, predictive_accuracy: 0.6847, prior_entropy: 0.9986, recall: 0.6847, relative_absolute_error: 0.6319, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5615, root_relative_squared_error: 1.1242, usercpu_time_millis: 0.061, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6955, f_measure: 0.6935, kappa: 0.3891, kb_relative_information_score: 42.8019, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.6975, predictive_accuracy: 0.6937, prior_entropy: 0.9986, recall: 0.6937, relative_absolute_error: 0.6138, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5534, root_relative_squared_error: 1.108, usercpu_time_millis: 1, usercpu_time_millis_testing: 0.179, usercpu_time_millis_training: 0.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6885, f_measure: 0.683, kappa: 0.3737, kb_relative_information_score: 40.7962, mean_absolute_error: 0.3153, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.695, predictive_accuracy: 0.6847, prior_entropy: 0.9986, recall: 0.6847, relative_absolute_error: 0.6319, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5615, root_relative_squared_error: 1.1242, usercpu_time_millis: 2.567, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 2.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7575, f_measure: 0.7569, kappa: 0.5137, kb_relative_information_score: 56.8415, mean_absolute_error: 0.2432, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7581, predictive_accuracy: 0.7568, prior_entropy: 0.9986, recall: 0.7568, relative_absolute_error: 0.4875, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4932, root_relative_squared_error: 0.9874, usercpu_time_millis: 0.808, usercpu_time_millis_testing: 0.127, usercpu_time_millis_training: 0.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.73, f_measure: 0.7299, kappa: 0.4592, kb_relative_information_score: 50.8245, mean_absolute_error: 0.2703, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7305, predictive_accuracy: 0.7297, prior_entropy: 0.9986, recall: 0.7297, relative_absolute_error: 0.5416, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5199, root_relative_squared_error: 1.0408, usercpu_time_millis: 4.675, usercpu_time_millis_testing: 1.424, usercpu_time_millis_training: 3.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6853, f_measure: 0.6848, kappa: 0.3696, kb_relative_information_score: 40.7962, mean_absolute_error: 0.3153, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.686, predictive_accuracy: 0.6847, prior_entropy: 0.9986, recall: 0.6847, relative_absolute_error: 0.6319, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5615, root_relative_squared_error: 1.1242, usercpu_time_millis: 0.769, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.684, f_measure: 0.6656, kappa: 0.3615, kb_relative_information_score: 38.7905, mean_absolute_error: 0.3243, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7138, predictive_accuracy: 0.6757, prior_entropy: 0.9986, recall: 0.6757, relative_absolute_error: 0.6499, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5695, root_relative_squared_error: 1.1401, usercpu_time_millis: 0.059, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6955, f_measure: 0.6935, kappa: 0.3891, kb_relative_information_score: 42.8019, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.6975, predictive_accuracy: 0.6937, prior_entropy: 0.9986, recall: 0.6937, relative_absolute_error: 0.6138, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5534, root_relative_squared_error: 1.108, usercpu_time_millis: 0.065, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.7105, kappa: 0.4269, kb_relative_information_score: 46.8132, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7211, predictive_accuracy: 0.7117, prior_entropy: 0.9986, recall: 0.7117, relative_absolute_error: 0.5777, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5369, root_relative_squared_error: 1.0749, usercpu_time_millis: 0.096, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6955, f_measure: 0.6935, kappa: 0.3891, kb_relative_information_score: 42.8019, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.6975, predictive_accuracy: 0.6937, prior_entropy: 0.9986, recall: 0.6937, relative_absolute_error: 0.6138, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5534, root_relative_squared_error: 1.108, usercpu_time_millis: 0.34, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 0.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6545, f_measure: 0.6558, kappa: 0.3106, kb_relative_information_score: 34.7792, mean_absolute_error: 0.3423, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.6578, predictive_accuracy: 0.6577, prior_entropy: 0.9986, recall: 0.6577, relative_absolute_error: 0.6861, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5851, root_relative_squared_error: 1.1714, usercpu_time_millis: 0.28, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6885, f_measure: 0.683, kappa: 0.3737, kb_relative_information_score: 40.7962, mean_absolute_error: 0.3153, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.695, predictive_accuracy: 0.6847, prior_entropy: 0.9986, recall: 0.6847, relative_absolute_error: 0.6319, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5615, root_relative_squared_error: 1.1242, usercpu_time_millis: 23.018, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 22.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5664, f_measure: 0.5529, kappa: 0.1353, kb_relative_information_score: 16.7283, mean_absolute_error: 0.4234, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.5832, predictive_accuracy: 0.5766, prior_entropy: 0.9986, recall: 0.5766, relative_absolute_error: 0.8485, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6507, root_relative_squared_error: 1.3027, usercpu_time_millis: 0.054, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4831, f_measure: 0.454, kappa: -0.0346, kb_relative_information_score: -1.3227, mean_absolute_error: 0.5045, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.4774, predictive_accuracy: 0.4955, prior_entropy: 0.9986, recall: 0.4955, relative_absolute_error: 1.011, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.7103, root_relative_squared_error: 1.422, usercpu_time_millis: 0.03, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 0.023,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Prediction file contains missing values for important attribute (confidence.P).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7082, f_measure: 0.6991, kappa: 0.4114, kb_relative_information_score: 44.8075, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7221, predictive_accuracy: 0.7027, prior_entropy: 0.9986, recall: 0.7027, relative_absolute_error: 0.5958, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5453, root_relative_squared_error: 1.0916, usercpu_time_millis: 0.059, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7041, f_measure: 0.7027, kappa: 0.4066, kb_relative_information_score: 44.8075, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7056, predictive_accuracy: 0.7027, prior_entropy: 0.9986, recall: 0.7027, relative_absolute_error: 0.5958, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5453, root_relative_squared_error: 1.0916, usercpu_time_millis: 0.047, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5089, f_measure: 0.4742, kappa: 0.0184, kb_relative_information_score: 4.6943, mean_absolute_error: 0.4775, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.5147, predictive_accuracy: 0.5225, prior_entropy: 0.9986, recall: 0.5225, relative_absolute_error: 0.9569, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.691, root_relative_squared_error: 1.3834, usercpu_time_millis: 10.597, usercpu_time_millis_testing: 1.417, usercpu_time_millis_training: 9.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7049, f_measure: 0.7024, kappa: 0.4076, kb_relative_information_score: 44.8075, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7076, predictive_accuracy: 0.7027, prior_entropy: 0.9986, recall: 0.7027, relative_absolute_error: 0.5958, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5453, root_relative_squared_error: 1.0916, usercpu_time_millis: 0.062, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 0.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7041, f_measure: 0.7027, kappa: 0.4066, kb_relative_information_score: 44.8075, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7056, predictive_accuracy: 0.7027, prior_entropy: 0.9986, recall: 0.7027, relative_absolute_error: 0.5958, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5453, root_relative_squared_error: 1.0916, usercpu_time_millis: 0.065, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7049, f_measure: 0.7024, kappa: 0.4076, kb_relative_information_score: 44.8075, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7076, predictive_accuracy: 0.7027, prior_entropy: 0.9986, recall: 0.7027, relative_absolute_error: 0.5958, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5453, root_relative_squared_error: 1.0916, usercpu_time_millis: 0.051, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6344, f_measure: 0.6286, kappa: 0.2663, kb_relative_information_score: 28.7622, mean_absolute_error: 0.3694, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.6393, predictive_accuracy: 0.6306, prior_entropy: 0.9986, recall: 0.6306, relative_absolute_error: 0.7402, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6078, root_relative_squared_error: 1.2168, usercpu_time_millis: 0.093, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6877, f_measure: 0.6838, kappa: 0.3727, kb_relative_information_score: 40.7962, mean_absolute_error: 0.3153, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.6919, predictive_accuracy: 0.6847, prior_entropy: 0.9986, recall: 0.6847, relative_absolute_error: 0.6319, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5615, root_relative_squared_error: 1.1242, usercpu_time_millis: 0.057, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5496, f_measure: 0.4832, kappa: 0.1027, kb_relative_information_score: 14.7226, mean_absolute_error: 0.4324, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.6346, predictive_accuracy: 0.5676, prior_entropy: 0.9986, recall: 0.5676, relative_absolute_error: 0.8666, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6576, root_relative_squared_error: 1.3165, usercpu_time_millis: 0.082, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6672, f_measure: 0.6668, kappa: 0.3336, kb_relative_information_score: 36.7849, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.668, predictive_accuracy: 0.6667, prior_entropy: 0.9986, recall: 0.6667, relative_absolute_error: 0.668, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.1559, usercpu_time_millis: 0.528, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 0.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3587, kb_relative_information_score: 4.6943, mean_absolute_error: 0.4775, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.273, predictive_accuracy: 0.5225, prior_entropy: 0.9986, recall: 0.5225, relative_absolute_error: 0.9569, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.691, root_relative_squared_error: 1.3834, usercpu_time_millis: 0.062, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 0.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7373, f_measure: 0.723, kappa: 0.467, kb_relative_information_score: 50.8245, mean_absolute_error: 0.2703, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7677, predictive_accuracy: 0.7297, prior_entropy: 0.9986, recall: 0.7297, relative_absolute_error: 0.5416, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5199, root_relative_squared_error: 1.0408, usercpu_time_millis: 0.157, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7058, f_measure: 0.7018, kappa: 0.4085, kb_relative_information_score: 44.8075, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7103, predictive_accuracy: 0.7027, prior_entropy: 0.9986, recall: 0.7027, relative_absolute_error: 0.5958, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5453, root_relative_squared_error: 1.0916, usercpu_time_millis: 8.152, usercpu_time_millis_testing: 0.308, usercpu_time_millis_training: 7.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.657, f_measure: 0.6577, kappa: 0.3139, kb_relative_information_score: 34.7792, mean_absolute_error: 0.3423, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.6577, predictive_accuracy: 0.6577, prior_entropy: 0.9986, recall: 0.6577, relative_absolute_error: 0.6861, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5851, root_relative_squared_error: 1.1714, usercpu_time_millis: 264.31, usercpu_time_millis_testing: 1.734, usercpu_time_millis_training: 262.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7041, f_measure: 0.7027, kappa: 0.4066, kb_relative_information_score: 44.8075, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7056, predictive_accuracy: 0.7027, prior_entropy: 0.9986, recall: 0.7027, relative_absolute_error: 0.5958, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5453, root_relative_squared_error: 1.0916, usercpu_time_millis: 0.06, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5613, f_measure: 0.5573, kappa: 0.1218, kb_relative_information_score: 12.717, mean_absolute_error: 0.4414, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.5634, predictive_accuracy: 0.5586, prior_entropy: 0.9986, recall: 0.5586, relative_absolute_error: 0.8846, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6644, root_relative_squared_error: 1.3302, usercpu_time_millis: 0.178, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6791, f_measure: 0.6744, kappa: 0.3553, kb_relative_information_score: 38.7905, mean_absolute_error: 0.3243, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.6842, predictive_accuracy: 0.6757, prior_entropy: 0.9986, recall: 0.6757, relative_absolute_error: 0.6499, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5695, root_relative_squared_error: 1.1401, usercpu_time_millis: 15.028, usercpu_time_millis_testing: 0.555, usercpu_time_millis_training: 14.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7041, f_measure: 0.7027, kappa: 0.4066, kb_relative_information_score: 44.8075, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7056, predictive_accuracy: 0.7027, prior_entropy: 0.9986, recall: 0.7027, relative_absolute_error: 0.5958, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5453, root_relative_squared_error: 1.0916, usercpu_time_millis: 0.296, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 0.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6783, f_measure: 0.675, kappa: 0.3542, kb_relative_information_score: 38.7905, mean_absolute_error: 0.3243, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.6815, predictive_accuracy: 0.6757, prior_entropy: 0.9986, recall: 0.6757, relative_absolute_error: 0.6499, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5695, root_relative_squared_error: 1.1401, usercpu_time_millis: 5.461, usercpu_time_millis_testing: 0.872, usercpu_time_millis_training: 4.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7115, f_measure: 0.6924, kappa: 0.4151, kb_relative_information_score: 44.8075, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7494, predictive_accuracy: 0.7027, prior_entropy: 0.9986, recall: 0.7027, relative_absolute_error: 0.5958, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5453, root_relative_squared_error: 1.0916, usercpu_time_millis: 0.909, usercpu_time_millis_testing: 0.421, usercpu_time_millis_training: 0.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6775, f_measure: 0.6755, kappa: 0.3532, kb_relative_information_score: 38.7905, mean_absolute_error: 0.3243, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.6793, predictive_accuracy: 0.6757, prior_entropy: 0.9986, recall: 0.6757, relative_absolute_error: 0.6499, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5695, root_relative_squared_error: 1.1401, usercpu_time_millis: 0.6, usercpu_time_millis_testing: 0.23, usercpu_time_millis_training: 0.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6815, f_measure: 0.3882, kappa: 0.0034, kb_relative_information_score: 12.3042, mean_absolute_error: 0.4394, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.5122, predictive_accuracy: 0.5225, prior_entropy: 0.9986, recall: 0.5225, relative_absolute_error: 0.8807, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5802, root_relative_squared_error: 1.1616, usercpu_time_millis: 0.089, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7261, f_measure: 0.6924, kappa: 0.3911, kb_relative_information_score: 28.5125, mean_absolute_error: 0.3811, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7026, predictive_accuracy: 0.6937, prior_entropy: 0.9986, recall: 0.6937, relative_absolute_error: 0.7636, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.9276, usercpu_time_millis: 0.82, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.642, f_measure: 0.6482, kappa: 0.2999, kb_relative_information_score: 18.0363, mean_absolute_error: 0.4254, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.653, predictive_accuracy: 0.6486, prior_entropy: 0.9986, recall: 0.6486, relative_absolute_error: 0.8526, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0039, usercpu_time_millis: 0.042, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7463, f_measure: 0.7024, kappa: 0.4076, kb_relative_information_score: 27.7638, mean_absolute_error: 0.3858, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7076, predictive_accuracy: 0.7027, prior_entropy: 0.9986, recall: 0.7027, relative_absolute_error: 0.7731, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4467, root_relative_squared_error: 0.8943, usercpu_time_millis: 0.125, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 0.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6815, f_measure: 0.3882, kappa: 0.0034, kb_relative_information_score: 12.3042, mean_absolute_error: 0.4394, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.5122, predictive_accuracy: 0.5225, prior_entropy: 0.9986, recall: 0.5225, relative_absolute_error: 0.8807, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5802, root_relative_squared_error: 1.1616, usercpu_time_millis: 0.064, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7261, f_measure: 0.6924, kappa: 0.3911, kb_relative_information_score: 28.5125, mean_absolute_error: 0.3811, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7026, predictive_accuracy: 0.6937, prior_entropy: 0.9986, recall: 0.6937, relative_absolute_error: 0.7636, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.9276, usercpu_time_millis: 0.327, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.642, f_measure: 0.6482, kappa: 0.2999, kb_relative_information_score: 18.0363, mean_absolute_error: 0.4254, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.653, predictive_accuracy: 0.6486, prior_entropy: 0.9986, recall: 0.6486, relative_absolute_error: 0.8526, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0039, usercpu_time_millis: 0.036, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7463, f_measure: 0.7024, kappa: 0.4076, kb_relative_information_score: 27.7638, mean_absolute_error: 0.3858, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7076, predictive_accuracy: 0.7027, prior_entropy: 0.9986, recall: 0.7027, relative_absolute_error: 0.7731, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4467, root_relative_squared_error: 0.8943, usercpu_time_millis: 0.11, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 0.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7136, f_measure: 0.7116, kappa: 0.4251, kb_relative_information_score: 46.8132, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7156, predictive_accuracy: 0.7117, prior_entropy: 0.9986, recall: 0.7117, relative_absolute_error: 0.5777, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5369, root_relative_squared_error: 1.0749, usercpu_time_millis: 0.025, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 0.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7136, f_measure: 0.7116, kappa: 0.4251, kb_relative_information_score: 46.8132, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7156, predictive_accuracy: 0.7117, prior_entropy: 0.9986, recall: 0.7117, relative_absolute_error: 0.5777, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5369, root_relative_squared_error: 1.0749, usercpu_time_millis: 0.033, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 0.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7176, f_measure: 0.7076, kappa: 0.4297, kb_relative_information_score: 46.8132, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7344, predictive_accuracy: 0.7117, prior_entropy: 0.9986, recall: 0.7117, relative_absolute_error: 0.5777, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5369, root_relative_squared_error: 1.0749, usercpu_time_millis: 0.626, usercpu_time_millis_testing: 0.281, usercpu_time_millis_training: 0.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7115, f_measure: 0.6924, kappa: 0.4151, kb_relative_information_score: 44.8075, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7494, predictive_accuracy: 0.7027, prior_entropy: 0.9986, recall: 0.7027, relative_absolute_error: 0.5958, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5453, root_relative_squared_error: 1.0916, usercpu_time_millis: 0.959, usercpu_time_millis_testing: 0.47, usercpu_time_millis_training: 0.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6295, f_measure: 0.6305, kappa: 0.2592, kb_relative_information_score: 28.7622, mean_absolute_error: 0.3694, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.6304, predictive_accuracy: 0.6306, prior_entropy: 0.9986, recall: 0.6306, relative_absolute_error: 0.7402, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6078, root_relative_squared_error: 1.2168, usercpu_time_millis: 0.757, usercpu_time_millis_testing: 0.343, usercpu_time_millis_training: 0.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.595, f_measure: 0.5948, kappa: 0.1895, kb_relative_information_score: 20.7396, mean_absolute_error: 0.4054, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.5959, predictive_accuracy: 0.5946, prior_entropy: 0.9986, recall: 0.5946, relative_absolute_error: 0.8124, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6367, root_relative_squared_error: 1.2747, usercpu_time_millis: 0.131, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6303, f_measure: 0.6308, kappa: 0.2604, kb_relative_information_score: 28.7622, mean_absolute_error: 0.3694, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.631, predictive_accuracy: 0.6306, prior_entropy: 0.9986, recall: 0.6306, relative_absolute_error: 0.7402, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6078, root_relative_squared_error: 1.2168, usercpu_time_millis: 0.022, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 0.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6807, f_measure: 0.6723, kappa: 0.3574, kb_relative_information_score: 38.7905, mean_absolute_error: 0.3243, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.6912, predictive_accuracy: 0.6757, prior_entropy: 0.9986, recall: 0.6757, relative_absolute_error: 0.6499, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5695, root_relative_squared_error: 1.1401, usercpu_time_millis: 0.066, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6815, f_measure: 0.671, kappa: 0.3584, kb_relative_information_score: 38.7905, mean_absolute_error: 0.3243, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.6957, predictive_accuracy: 0.6757, prior_entropy: 0.9986, recall: 0.6757, relative_absolute_error: 0.6499, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5695, root_relative_squared_error: 1.1401, usercpu_time_millis: 0.054, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 0.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3587, kb_relative_information_score: 4.6943, mean_absolute_error: 0.4775, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.273, predictive_accuracy: 0.5225, prior_entropy: 0.9986, recall: 0.5225, relative_absolute_error: 0.9569, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.691, root_relative_squared_error: 1.3834, usercpu_time_millis: 0.06, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 0.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6861, f_measure: 0.6847, kappa: 0.3706, kb_relative_information_score: 40.7962, mean_absolute_error: 0.3153, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.6875, predictive_accuracy: 0.6847, prior_entropy: 0.9986, recall: 0.6847, relative_absolute_error: 0.6319, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5615, root_relative_squared_error: 1.1242, usercpu_time_millis: 0.064, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6955, f_measure: 0.6935, kappa: 0.3891, kb_relative_information_score: 42.8019, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.6975, predictive_accuracy: 0.6937, prior_entropy: 0.9986, recall: 0.6937, relative_absolute_error: 0.6138, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5534, root_relative_squared_error: 1.108, usercpu_time_millis: 1.125, usercpu_time_millis_testing: 0.211, usercpu_time_millis_training: 0.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6885, f_measure: 0.683, kappa: 0.3737, kb_relative_information_score: 40.7962, mean_absolute_error: 0.3153, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.695, predictive_accuracy: 0.6847, prior_entropy: 0.9986, recall: 0.6847, relative_absolute_error: 0.6319, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5615, root_relative_squared_error: 1.1242, usercpu_time_millis: 2.657, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 2.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7575, f_measure: 0.7569, kappa: 0.5137, kb_relative_information_score: 56.8415, mean_absolute_error: 0.2432, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7581, predictive_accuracy: 0.7568, prior_entropy: 0.9986, recall: 0.7568, relative_absolute_error: 0.4875, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4932, root_relative_squared_error: 0.9874, usercpu_time_millis: 0.804, usercpu_time_millis_testing: 0.128, usercpu_time_millis_training: 0.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.73, f_measure: 0.7299, kappa: 0.4592, kb_relative_information_score: 50.8245, mean_absolute_error: 0.2703, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7305, predictive_accuracy: 0.7297, prior_entropy: 0.9986, recall: 0.7297, relative_absolute_error: 0.5416, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5199, root_relative_squared_error: 1.0408, usercpu_time_millis: 4.74, usercpu_time_millis_testing: 1.41, usercpu_time_millis_training: 3.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6853, f_measure: 0.6848, kappa: 0.3696, kb_relative_information_score: 40.7962, mean_absolute_error: 0.3153, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.686, predictive_accuracy: 0.6847, prior_entropy: 0.9986, recall: 0.6847, relative_absolute_error: 0.6319, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5615, root_relative_squared_error: 1.1242, usercpu_time_millis: 0.452, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.684, f_measure: 0.6656, kappa: 0.3615, kb_relative_information_score: 38.7905, mean_absolute_error: 0.3243, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7138, predictive_accuracy: 0.6757, prior_entropy: 0.9986, recall: 0.6757, relative_absolute_error: 0.6499, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5695, root_relative_squared_error: 1.1401, usercpu_time_millis: 0.059, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6955, f_measure: 0.6935, kappa: 0.3891, kb_relative_information_score: 42.8019, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.6975, predictive_accuracy: 0.6937, prior_entropy: 0.9986, recall: 0.6937, relative_absolute_error: 0.6138, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5534, root_relative_squared_error: 1.108, usercpu_time_millis: 0.058, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.7105, kappa: 0.4269, kb_relative_information_score: 46.8132, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7211, predictive_accuracy: 0.7117, prior_entropy: 0.9986, recall: 0.7117, relative_absolute_error: 0.5777, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5369, root_relative_squared_error: 1.0749, usercpu_time_millis: 0.051, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6955, f_measure: 0.6935, kappa: 0.3891, kb_relative_information_score: 42.8019, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.6975, predictive_accuracy: 0.6937, prior_entropy: 0.9986, recall: 0.6937, relative_absolute_error: 0.6138, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5534, root_relative_squared_error: 1.108, usercpu_time_millis: 0.326, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 0.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6545, f_measure: 0.6558, kappa: 0.3106, kb_relative_information_score: 34.7792, mean_absolute_error: 0.3423, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.6578, predictive_accuracy: 0.6577, prior_entropy: 0.9986, recall: 0.6577, relative_absolute_error: 0.6861, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5851, root_relative_squared_error: 1.1714, usercpu_time_millis: 0.257, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 0.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6885, f_measure: 0.683, kappa: 0.3737, kb_relative_information_score: 40.7962, mean_absolute_error: 0.3153, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.695, predictive_accuracy: 0.6847, prior_entropy: 0.9986, recall: 0.6847, relative_absolute_error: 0.6319, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5615, root_relative_squared_error: 1.1242, usercpu_time_millis: 23.247, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 23.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5664, f_measure: 0.5529, kappa: 0.1353, kb_relative_information_score: 16.7283, mean_absolute_error: 0.4234, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.5832, predictive_accuracy: 0.5766, prior_entropy: 0.9986, recall: 0.5766, relative_absolute_error: 0.8485, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6507, root_relative_squared_error: 1.3027, usercpu_time_millis: 0.055, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4831, f_measure: 0.454, kappa: -0.0346, kb_relative_information_score: -1.3227, mean_absolute_error: 0.5045, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.4774, predictive_accuracy: 0.4955, prior_entropy: 0.9986, recall: 0.4955, relative_absolute_error: 1.011, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.7103, root_relative_squared_error: 1.422, usercpu_time_millis: 0.029, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 0.022,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Prediction file contains missing values for important attribute (confidence.P).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7082, f_measure: 0.6991, kappa: 0.4114, kb_relative_information_score: 44.8075, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7221, predictive_accuracy: 0.7027, prior_entropy: 0.9986, recall: 0.7027, relative_absolute_error: 0.5958, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5453, root_relative_squared_error: 1.0916, usercpu_time_millis: 0.059, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7041, f_measure: 0.7027, kappa: 0.4066, kb_relative_information_score: 44.8075, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.499, number_of_instances: 111, precision: 0.7056, predictive_accuracy: 0.7027, prior_entropy: 0.9986, recall: 0.7027, relative_absolute_error: 0.5958, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5453, root_relative_squared_error: 1.0916, usercpu_time_millis: 0.049, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.035,

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

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Download this task directly in your environment and automatically upload your results

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

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