OpenML
Supervised Classification on eeg-eye-state

Supervised Classification on eeg-eye-state

Task 14951 Supervised Classification eeg-eye-state 66581 runs submitted
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66581 results
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(9) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6776, f_measure: 0.5119, kappa: 0.1118, kb_relative_information_score: 393.5573, mean_absolute_error: 0.4852, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6358, predictive_accuracy: 0.5923, prior_entropy: 0.9924, recall: 0.5923, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4888, root_relative_squared_error: 0.9828, scimark_benchmark: 1843.7188, usercpu_time_millis: 18.844, usercpu_time_millis_testing: 3.091, usercpu_time_millis_training: 15.753,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(9) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3917, kb_relative_information_score: -0.4481, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, scimark_benchmark: 1846.143, usercpu_time_millis: 6.55, usercpu_time_millis_testing: 0.956, usercpu_time_millis_training: 5.594,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(9) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7307, f_measure: 0.66, kappa: 0.3149, kb_relative_information_score: 1346.9005, mean_absolute_error: 0.4599, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6721, predictive_accuracy: 0.6698, prior_entropy: 0.9924, recall: 0.6698, relative_absolute_error: 0.9295, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4696, root_relative_squared_error: 0.9441, scimark_benchmark: 1841.2811, usercpu_time_millis: 18.604, usercpu_time_millis_testing: 2.079, usercpu_time_millis_training: 16.525,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(9) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6969, f_measure: 0.642, kappa: 0.2788, kb_relative_information_score: 1140.6213, mean_absolute_error: 0.465, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.653, predictive_accuracy: 0.6523, prior_entropy: 0.9924, recall: 0.6523, relative_absolute_error: 0.94, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4751, root_relative_squared_error: 0.9552, scimark_benchmark: 1851.4874, usercpu_time_millis: 30.069, usercpu_time_millis_testing: 3.136, usercpu_time_millis_training: 26.933,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(9) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.8698, kappa: 0.7362, kb_relative_information_score: 7443.3286, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.871, predictive_accuracy: 0.8704, prior_entropy: 0.9924, recall: 0.8704, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.6602, scimark_benchmark: 1854.1, usercpu_time_millis: 22.958, usercpu_time_millis_testing: 0.853, usercpu_time_millis_training: 22.105,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(9) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7374, f_measure: 0.6777, kappa: 0.3473, kb_relative_information_score: 2502.8403, mean_absolute_error: 0.4248, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.681, predictive_accuracy: 0.6819, prior_entropy: 0.9924, recall: 0.6819, relative_absolute_error: 0.8587, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4556, root_relative_squared_error: 0.916, scimark_benchmark: 1845.8518, usercpu_time_millis: 16.816, usercpu_time_millis_testing: 0.852, usercpu_time_millis_training: 15.964,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(9) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.9083, kappa: 0.8144, kb_relative_information_score: 8947.7672, mean_absolute_error: 0.221, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9088, predictive_accuracy: 0.9085, prior_entropy: 0.9924, recall: 0.9085, relative_absolute_error: 0.4466, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2851, root_relative_squared_error: 0.5733, scimark_benchmark: 1849.9303, usercpu_time_millis: 12.067, usercpu_time_millis_testing: 0.609, usercpu_time_millis_training: 11.458,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(9) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.8277, kappa: 0.6509, kb_relative_information_score: 5864.7548, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8304, predictive_accuracy: 0.829, prior_entropy: 0.9924, recall: 0.829, relative_absolute_error: 0.6528, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.7393, scimark_benchmark: 1820.9484, usercpu_time_millis: 8.204, usercpu_time_millis_testing: 0.48, usercpu_time_millis_training: 7.724,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(9) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.853, f_measure: 0.7666, kappa: 0.5271, kb_relative_information_score: 4327.7564, mean_absolute_error: 0.3709, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7711, predictive_accuracy: 0.7693, prior_entropy: 0.9924, recall: 0.7693, relative_absolute_error: 0.7496, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.8173, scimark_benchmark: 1853.5148, usercpu_time_millis: 12.711, usercpu_time_millis_testing: 0.841, usercpu_time_millis_training: 11.87,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(9) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, f_measure: 0.8443, kappa: 0.6844, kb_relative_information_score: 6506.7361, mean_absolute_error: 0.3017, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8465, predictive_accuracy: 0.8453, prior_entropy: 0.9924, recall: 0.8453, relative_absolute_error: 0.6098, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7091, scimark_benchmark: 1843.2356, usercpu_time_millis: 3.087, usercpu_time_millis_testing: 0.142, usercpu_time_millis_training: 2.945,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(9) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3917, kb_relative_information_score: 0.1209, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, scimark_benchmark: 1853.3841, usercpu_time_millis: 7.002, usercpu_time_millis_testing: 1.487, usercpu_time_millis_training: 5.515,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(9) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, f_measure: 0.7106, kappa: 0.4135, kb_relative_information_score: 2418.3969, mean_absolute_error: 0.429, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7123, predictive_accuracy: 0.713, prior_entropy: 0.9924, recall: 0.713, relative_absolute_error: 0.8672, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4487, root_relative_squared_error: 0.9021, scimark_benchmark: 1730.1287, usercpu_time_millis: 14.52, usercpu_time_millis_testing: 1.081, usercpu_time_millis_training: 13.439,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(9) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, f_measure: 0.6793, kappa: 0.3503, kb_relative_information_score: 1787.5095, mean_absolute_error: 0.4467, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6796, predictive_accuracy: 0.681, prior_entropy: 0.9924, recall: 0.681, relative_absolute_error: 0.9028, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.932, scimark_benchmark: 1851.9456, usercpu_time_millis: 10.463, usercpu_time_millis_testing: 0.626, usercpu_time_millis_training: 9.837,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(9) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.8871, kappa: 0.7714, kb_relative_information_score: 8103.5707, mean_absolute_error: 0.2491, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.888, predictive_accuracy: 0.8875, prior_entropy: 0.9924, recall: 0.8875, relative_absolute_error: 0.5035, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3099, root_relative_squared_error: 0.623, scimark_benchmark: 1823.2506, usercpu_time_millis: 13.62, usercpu_time_millis_testing: 0.523, usercpu_time_millis_training: 13.097,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(9) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7772, f_measure: 0.7098, kappa: 0.4131, kb_relative_information_score: 1896.7358, mean_absolute_error: 0.4451, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7174, predictive_accuracy: 0.7152, prior_entropy: 0.9924, recall: 0.7152, relative_absolute_error: 0.8997, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.457, root_relative_squared_error: 0.9188, scimark_benchmark: 1848.388, usercpu_time_millis: 6.334, usercpu_time_millis_testing: 0.453, usercpu_time_millis_training: 5.881,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(9) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7108, f_measure: 0.5736, kappa: 0.1846, kb_relative_information_score: 718.2822, mean_absolute_error: 0.4769, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.645, predictive_accuracy: 0.6195, prior_entropy: 0.9924, recall: 0.6195, relative_absolute_error: 0.9639, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4818, root_relative_squared_error: 0.9686, scimark_benchmark: 1849.408, usercpu_time_millis: 6.518, usercpu_time_millis_testing: 0.655, usercpu_time_millis_training: 5.863,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(9) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7963, f_measure: 0.7264, kappa: 0.4456, kb_relative_information_score: 2400.4142, mean_absolute_error: 0.4306, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7297, predictive_accuracy: 0.7294, prior_entropy: 0.9924, recall: 0.7294, relative_absolute_error: 0.8704, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4464, root_relative_squared_error: 0.8976, scimark_benchmark: 1846.8866, usercpu_time_millis: 13.235, usercpu_time_millis_testing: 1.108, usercpu_time_millis_training: 12.127,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(9) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.8611, kappa: 0.719, kb_relative_information_score: 9277.5372, mean_absolute_error: 0.1948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8611, predictive_accuracy: 0.8612, prior_entropy: 0.9924, recall: 0.8612, relative_absolute_error: 0.3938, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.6646, scimark_benchmark: 1827.4253, usercpu_time_millis: 1.061, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 0.996,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(9) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, f_measure: 0.6825, kappa: 0.3567, kb_relative_information_score: 1723.067, mean_absolute_error: 0.4489, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6833, predictive_accuracy: 0.6847, prior_entropy: 0.9924, recall: 0.6847, relative_absolute_error: 0.9073, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4631, root_relative_squared_error: 0.9312, scimark_benchmark: 1845.3986, usercpu_time_millis: 13.21, usercpu_time_millis_testing: 1.442, usercpu_time_millis_training: 11.768,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(9) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7778, f_measure: 0.7067, kappa: 0.4063, kb_relative_information_score: 2977.156, mean_absolute_error: 0.411, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7121, predictive_accuracy: 0.7112, prior_entropy: 0.9924, recall: 0.7112, relative_absolute_error: 0.8307, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4409, root_relative_squared_error: 0.8864, scimark_benchmark: 1844.3569, usercpu_time_millis: 3.29, usercpu_time_millis_testing: 0.173, usercpu_time_millis_training: 3.117,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(9) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3917, kb_relative_information_score: -0.0235, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, scimark_benchmark: 1842.7105, usercpu_time_millis: 11.115, usercpu_time_millis_testing: 1.8, usercpu_time_millis_training: 9.315,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(9) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3917, kb_relative_information_score: -0.0565, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, scimark_benchmark: 1839.7911, usercpu_time_millis: 3.204, usercpu_time_millis_testing: 0.397, usercpu_time_millis_training: 2.807,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(9) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3917, kb_relative_information_score: 0.1622, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, scimark_benchmark: 1841.2811, usercpu_time_millis: 1.612, usercpu_time_millis_testing: 0.168, usercpu_time_millis_training: 1.444,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(9) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7589, f_measure: 0.7017, kappa: 0.3955, kb_relative_information_score: 2090.7911, mean_absolute_error: 0.4384, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7031, predictive_accuracy: 0.7041, prior_entropy: 0.9924, recall: 0.7041, relative_absolute_error: 0.886, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4558, root_relative_squared_error: 0.9164, scimark_benchmark: 1850.5112, usercpu_time_millis: 7.853, usercpu_time_millis_testing: 0.532, usercpu_time_millis_training: 7.321,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(9) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3917, kb_relative_information_score: 0.3319, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, scimark_benchmark: 1843.7454, usercpu_time_millis: 1.064, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 0.944,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(9) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7894, f_measure: 0.713, kappa: 0.4191, kb_relative_information_score: 3293.9029, mean_absolute_error: 0.401, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7194, predictive_accuracy: 0.7178, prior_entropy: 0.9924, recall: 0.7178, relative_absolute_error: 0.8105, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.8754, scimark_benchmark: 1834.2992, usercpu_time_millis: 6.653, usercpu_time_millis_testing: 0.313, usercpu_time_millis_training: 6.34,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(9) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, f_measure: 0.7245, kappa: 0.4418, kb_relative_information_score: 2383.5743, mean_absolute_error: 0.431, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.728, predictive_accuracy: 0.7276, prior_entropy: 0.9924, recall: 0.7276, relative_absolute_error: 0.8712, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.447, root_relative_squared_error: 0.8987, scimark_benchmark: 1840.6373, usercpu_time_millis: 3.82, usercpu_time_millis_testing: 0.277, usercpu_time_millis_training: 3.543,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(9) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8122, f_measure: 0.7345, kappa: 0.4624, kb_relative_information_score: 3478.1617, mean_absolute_error: 0.3966, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.74, predictive_accuracy: 0.7383, prior_entropy: 0.9924, recall: 0.7383, relative_absolute_error: 0.8016, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.8595, scimark_benchmark: 1836.1651, usercpu_time_millis: 10.852, usercpu_time_millis_testing: 0.602, usercpu_time_millis_training: 10.25,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(9) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3917, kb_relative_information_score: -0.3095, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, scimark_benchmark: 1846.9558, usercpu_time_millis: 9.043, usercpu_time_millis_testing: 1.44, usercpu_time_millis_training: 7.603,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(9) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3917, kb_relative_information_score: 0.0998, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, scimark_benchmark: 1847.3406, usercpu_time_millis: 7.019, usercpu_time_millis_testing: 1.411, usercpu_time_millis_training: 5.608,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(9) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7609, f_measure: 0.7074, kappa: 0.407, kb_relative_information_score: 1883.0463, mean_absolute_error: 0.4447, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7092, predictive_accuracy: 0.7099, prior_entropy: 0.9924, recall: 0.7099, relative_absolute_error: 0.8989, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4588, root_relative_squared_error: 0.9224, scimark_benchmark: 1849.3014, usercpu_time_millis: 5.33, usercpu_time_millis_testing: 0.455, usercpu_time_millis_training: 4.875,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(9) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3917, kb_relative_information_score: -0.0046, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, scimark_benchmark: 1835.4851, usercpu_time_millis: 4.067, usercpu_time_millis_testing: 0.386, usercpu_time_millis_training: 3.681,
Andreas Mueller 7 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(8) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.7996, kappa: 0.5948, kb_relative_information_score: 8886.1766, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7995, predictive_accuracy: 0.7997, prior_entropy: 0.9924, recall: 0.7997, relative_absolute_error: 0.4049, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4476, root_relative_squared_error: 0.8999,
Joaquin Vanschoren 7 years ago
ran flow sklearn.neighbors.classification.KNeighborsClassifier(16) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9806, kappa: 0.9607, kb_relative_information_score: 14389.0685, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9806, predictive_accuracy: 0.9806, prior_entropy: 0.9924, recall: 0.9806, relative_absolute_error: 0.0393, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.1394, root_relative_squared_error: 0.2802,
Andreas Mueller 7 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(7) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8021, f_measure: 0.8039, kappa: 0.6038, kb_relative_information_score: 9012.073, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.804, predictive_accuracy: 0.8038, prior_entropy: 0.9924, recall: 0.8038, relative_absolute_error: 0.3965, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4429, root_relative_squared_error: 0.8906,
Andreas Mueller 7 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(7) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.796, kappa: 0.5875, kb_relative_information_score: 8778.5554, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.796, predictive_accuracy: 0.7961, prior_entropy: 0.9924, recall: 0.7961, relative_absolute_error: 0.4121, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4515, root_relative_squared_error: 0.9078,
Andreas Mueller 7 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(7) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, f_measure: 0.7924, kappa: 0.5804, kb_relative_information_score: 8662.812, mean_absolute_error: 0.2077, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7924, predictive_accuracy: 0.7923, prior_entropy: 0.9924, recall: 0.7923, relative_absolute_error: 0.4198, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4557, root_relative_squared_error: 0.9162,
Andreas Mueller 7 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(7) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7921, f_measure: 0.7943, kappa: 0.5843, kb_relative_information_score: 8723.7296, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7943, predictive_accuracy: 0.7943, prior_entropy: 0.9924, recall: 0.7943, relative_absolute_error: 0.4157, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4535, root_relative_squared_error: 0.9118,
Andreas Mueller 7 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(7) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.7986, kappa: 0.593, kb_relative_information_score: 8855.7178, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7986, predictive_accuracy: 0.7987, prior_entropy: 0.9924, recall: 0.7987, relative_absolute_error: 0.4069, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4487, root_relative_squared_error: 0.9022,
Andreas Mueller 7 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(7) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7946, f_measure: 0.797, kappa: 0.5896, kb_relative_information_score: 8809.0142, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.797, predictive_accuracy: 0.7971, prior_entropy: 0.9924, recall: 0.7971, relative_absolute_error: 0.41, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9056,
Junchao Wang 7 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(3) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7906, f_measure: 0.7928, kappa: 0.5812, kb_relative_information_score: 8677.0261, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7928, predictive_accuracy: 0.7928, prior_entropy: 0.9924, recall: 0.7928, relative_absolute_error: 0.4188, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4552, root_relative_squared_error: 0.9152,
Liam Connor 7 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(3) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.791, f_measure: 0.7931, kappa: 0.5819, kb_relative_information_score: 8687.179, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7932, predictive_accuracy: 0.7931, prior_entropy: 0.9924, recall: 0.7931, relative_absolute_error: 0.4181, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4548, root_relative_squared_error: 0.9145,
Toon Van Craenendonck 7 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(4) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7978, f_measure: 0.8, kappa: 0.5957, kb_relative_information_score: 8896.3295, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9924, recall: 0.8, relative_absolute_error: 0.4042, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8992,
Junchao Wang 7 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(3) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7965, f_measure: 0.7985, kappa: 0.5928, kb_relative_information_score: 8849.626, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7985, predictive_accuracy: 0.7985, prior_entropy: 0.9924, recall: 0.7985, relative_absolute_error: 0.4073, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4489, root_relative_squared_error: 0.9026,
Andreas Mueller 7 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(9) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7889, f_measure: 0.7905, kappa: 0.5769, kb_relative_information_score: 8601.8943, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7907, predictive_accuracy: 0.7903, prior_entropy: 0.9924, recall: 0.7903, relative_absolute_error: 0.4238, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9207,
Andreas Mueller 7 years ago
ran flow sklearn.neighbors.classification.KNeighborsClassifier(18) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 13353.2303, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, recall: 0.969, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196,
Andreas Mueller 7 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(9) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7806, f_measure: 0.7832, kappa: 0.5616, kb_relative_information_score: 8386.6521, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7831, predictive_accuracy: 0.7832, prior_entropy: 0.9924, recall: 0.7832, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4656, root_relative_squared_error: 0.9361,
Joaquin Vanschoren 7 years ago
ran flow sklearn.neighbors.classification.KNeighborsClassifier(16) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 13353.2303, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, recall: 0.969, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196,
Wei-Sheng Chen 7 years ago
ran flow sklearn.pipeline.Pipeline(Clas ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9806, kappa: 0.9607, kb_relative_information_score: 14389.0685, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9806, predictive_accuracy: 0.9806, prior_entropy: 0.9924, recall: 0.9806, relative_absolute_error: 0.0393, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.1394, root_relative_squared_error: 0.2802,
Prasenjit Gupta 7 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(5) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.7951, kappa: 0.5858, kb_relative_information_score: 8750.1272, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7951, predictive_accuracy: 0.7952, prior_entropy: 0.9924, recall: 0.7952, relative_absolute_error: 0.414, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4526, root_relative_squared_error: 0.9099,
Toon Van Craenendonck 7 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(4) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7868, f_measure: 0.7889, kappa: 0.5735, kb_relative_information_score: 8559.252, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.789, predictive_accuracy: 0.7889, prior_entropy: 0.9924, recall: 0.7889, relative_absolute_error: 0.4266, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4594, root_relative_squared_error: 0.9237,
Ianislav Mintchev 7 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(26) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9023, kappa: 0.8021, kb_relative_information_score: 9373.7218, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9055, predictive_accuracy: 0.903, prior_entropy: 0.9924, recall: 0.903, relative_absolute_error: 0.4103, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2828, root_relative_squared_error: 0.5685,
Ianislav Mintchev 7 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(26) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.9026, kappa: 0.8026, kb_relative_information_score: 9377.7937, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9054, predictive_accuracy: 0.9032, prior_entropy: 0.9924, recall: 0.9032, relative_absolute_error: 0.4095, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2832, root_relative_squared_error: 0.5693,
Ianislav Mintchev 7 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(26) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.8965, kappa: 0.7903, kb_relative_information_score: 9332.6817, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8995, predictive_accuracy: 0.8972, prior_entropy: 0.9924, recall: 0.8972, relative_absolute_error: 0.4113, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2866, root_relative_squared_error: 0.5762,
Wei-Sheng Chen 7 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(26) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.8996, kappa: 0.7966, kb_relative_information_score: 9317.8245, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9028, predictive_accuracy: 0.9003, prior_entropy: 0.9924, recall: 0.9003, relative_absolute_error: 0.4128, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.286, root_relative_squared_error: 0.575,
Wei-Sheng Chen 7 years ago
ran flow sklearn.neighbors.classification.KNeighborsClassifier(13) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 13353.2303, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, recall: 0.969, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196,
Munkhtuya Dashnyam 7 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(25) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.9, kappa: 0.7974, kb_relative_information_score: 9313.4392, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9029, predictive_accuracy: 0.9007, prior_entropy: 0.9924, recall: 0.9007, relative_absolute_error: 0.4142, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2847, root_relative_squared_error: 0.5724,
Munkhtuya Dashnyam 7 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(25) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9007, kappa: 0.7987, kb_relative_information_score: 9366.4782, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9038, predictive_accuracy: 0.9013, prior_entropy: 0.9924, recall: 0.9013, relative_absolute_error: 0.4104, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2831, root_relative_squared_error: 0.5692,
Munkhtuya Dashnyam 7 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(25) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.8997, kappa: 0.7967, kb_relative_information_score: 9327.0896, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9028, predictive_accuracy: 0.9003, prior_entropy: 0.9924, recall: 0.9003, relative_absolute_error: 0.4125, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2851, root_relative_squared_error: 0.5733,
Munkhtuya Dashnyam 7 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(25) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.8987, kappa: 0.7948, kb_relative_information_score: 9313.6177, mean_absolute_error: 0.2045, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9018, predictive_accuracy: 0.8994, prior_entropy: 0.9924, recall: 0.8994, relative_absolute_error: 0.4134, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2864, root_relative_squared_error: 0.5758,
Munkhtuya Dashnyam 7 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(25) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.9002, kappa: 0.7978, kb_relative_information_score: 9359.281, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9028, predictive_accuracy: 0.9008, prior_entropy: 0.9924, recall: 0.9008, relative_absolute_error: 0.4104, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2836, root_relative_squared_error: 0.5703,
Berihun Yimam 7 years ago
ran flow sklearn.pipeline.Pipeline(OneH ... est.RandomForestClassifier)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6867, f_measure: 0.6361, kappa: 0.2647, kb_relative_information_score: 2403.1892, mean_absolute_error: 0.4235, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6425, predictive_accuracy: 0.644, prior_entropy: 0.9924, recall: 0.644, relative_absolute_error: 0.8559, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4749, root_relative_squared_error: 0.9548,
Munkhtuya Dashnyam 7 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(25) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.9012, kappa: 0.7998, kb_relative_information_score: 9367.1167, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9042, predictive_accuracy: 0.9019, prior_entropy: 0.9924, recall: 0.9019, relative_absolute_error: 0.4105, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2828, root_relative_squared_error: 0.5686,
Munkhtuya Dashnyam 7 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(25) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.8988, kappa: 0.7949, kb_relative_information_score: 9342.0959, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9014, predictive_accuracy: 0.8994, prior_entropy: 0.9924, recall: 0.8994, relative_absolute_error: 0.4121, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2845, root_relative_squared_error: 0.572,
Wang Yongchao 7 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(26) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.8986, kappa: 0.7945, kb_relative_information_score: 9352.8154, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.901, predictive_accuracy: 0.8992, prior_entropy: 0.9924, recall: 0.8992, relative_absolute_error: 0.4103, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2852, root_relative_squared_error: 0.5735,
Dmitrii Nikeshkin 7 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(26) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, f_measure: 0.8999, kappa: 0.7971, kb_relative_information_score: 9363.6336, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9028, predictive_accuracy: 0.9005, prior_entropy: 0.9924, recall: 0.9005, relative_absolute_error: 0.4101, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2843, root_relative_squared_error: 0.5717,
Berihun Yimam 7 years ago
ran flow sklearn.pipeline.Pipeline(Impu ... est.RandomForestClassifier)(6) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6827, f_measure: 0.6354, kappa: 0.2633, kb_relative_information_score: 2389.4375, mean_absolute_error: 0.4234, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6417, predictive_accuracy: 0.6433, prior_entropy: 0.9924, recall: 0.6433, relative_absolute_error: 0.8557, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4764, root_relative_squared_error: 0.9577,
Dmitrii Nikeshkin 7 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(26) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, f_measure: 0.9022, kappa: 0.8017, kb_relative_information_score: 9358.4954, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9052, predictive_accuracy: 0.9028, prior_entropy: 0.9924, recall: 0.9028, relative_absolute_error: 0.4109, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2841, root_relative_squared_error: 0.5712,
Joaquin Vanschoren 7 years ago
ran flow sklearn.neighbors.classification.KNeighborsClassifier(12) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 13353.2303, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, recall: 0.969, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196,
Joaquin Vanschoren 7 years ago
ran flow sklearn.neighbors.classification.KNeighborsClassifier(12) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9806, kappa: 0.9607, kb_relative_information_score: 14389.0685, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9806, predictive_accuracy: 0.9806, prior_entropy: 0.9924, recall: 0.9806, relative_absolute_error: 0.0393, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.1394, root_relative_squared_error: 0.2802,
Joaquin Vanschoren 7 years ago
ran flow sklearn.ensemble.forest.ExtraTreesClassifier(7) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9109, kappa: 0.8195, kb_relative_information_score: 9352.9585, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9139, predictive_accuracy: 0.9115, prior_entropy: 0.9924, recall: 0.9115, relative_absolute_error: 0.4149, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.278, root_relative_squared_error: 0.559,
Joaquin Vanschoren 7 years ago
ran flow sklearn.ensemble.forest.ExtraTreesClassifier(7) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9102, kappa: 0.818, kb_relative_information_score: 9305.7525, mean_absolute_error: 0.207, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9132, predictive_accuracy: 0.9107, prior_entropy: 0.9924, recall: 0.9107, relative_absolute_error: 0.4184, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2793, root_relative_squared_error: 0.5616,
Joaquin Vanschoren 7 years ago
ran flow sklearn.ensemble.forest.ExtraTreesClassifier(7) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9102, kappa: 0.818, kb_relative_information_score: 9305.7525, mean_absolute_error: 0.207, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9132, predictive_accuracy: 0.9107, prior_entropy: 0.9924, recall: 0.9107, relative_absolute_error: 0.4184, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2793, root_relative_squared_error: 0.5616,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(13) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9169, kappa: 0.8318, kb_relative_information_score: 9849.6758, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9173, predictive_accuracy: 0.9171, prior_entropy: 0.9924, recall: 0.9171, relative_absolute_error: 0.38, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2644, root_relative_squared_error: 0.5315, scimark_benchmark: 1285.0382, usercpu_time_millis: 2228.932, usercpu_time_millis_testing: 47.467, usercpu_time_millis_training: 2181.465,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(13) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9218, kappa: 0.8417, kb_relative_information_score: 9581.1039, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9222, predictive_accuracy: 0.922, prior_entropy: 0.9924, recall: 0.922, relative_absolute_error: 0.4025, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2671, root_relative_squared_error: 0.537, scimark_benchmark: 1280.0258, usercpu_time_millis: 1870.374, usercpu_time_millis_testing: 42.963, usercpu_time_millis_training: 1827.411,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(13) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9176, kappa: 0.8331, kb_relative_information_score: 9447.7629, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.918, predictive_accuracy: 0.9178, prior_entropy: 0.9924, recall: 0.9178, relative_absolute_error: 0.411, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.272, root_relative_squared_error: 0.5469, scimark_benchmark: 1282.694, usercpu_time_millis: 1719.455, usercpu_time_millis_testing: 52.928, usercpu_time_millis_training: 1666.527,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(13) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9127, kappa: 0.8232, kb_relative_information_score: 8630.5632, mean_absolute_error: 0.234, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9135, predictive_accuracy: 0.913, prior_entropy: 0.9924, recall: 0.913, relative_absolute_error: 0.473, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.5794, scimark_benchmark: 1271.1219, usercpu_time_millis: 985.685, usercpu_time_millis_testing: 63.163, usercpu_time_millis_training: 922.522,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(13) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.9095, kappa: 0.8168, kb_relative_information_score: 8994.7445, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9101, predictive_accuracy: 0.9097, prior_entropy: 0.9924, recall: 0.9097, relative_absolute_error: 0.4435, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2836, root_relative_squared_error: 0.5703, scimark_benchmark: 1268.7404, usercpu_time_millis: 1460.066, usercpu_time_millis_testing: 57.71, usercpu_time_millis_training: 1402.356,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(13) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.8851, kappa: 0.7672, kb_relative_information_score: 7095.9936, mean_absolute_error: 0.2867, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8871, predictive_accuracy: 0.8857, prior_entropy: 0.9924, recall: 0.8857, relative_absolute_error: 0.5795, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3274, root_relative_squared_error: 0.6583, scimark_benchmark: 1291.3872, usercpu_time_millis: 430.913, usercpu_time_millis_testing: 38.696, usercpu_time_millis_training: 392.217,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(13) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.8908, kappa: 0.7788, kb_relative_information_score: 8138.6114, mean_absolute_error: 0.2487, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8917, predictive_accuracy: 0.8912, prior_entropy: 0.9924, recall: 0.8912, relative_absolute_error: 0.5027, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3072, root_relative_squared_error: 0.6177, scimark_benchmark: 1279.4806, usercpu_time_millis: 1042.247, usercpu_time_millis_testing: 48.903, usercpu_time_millis_training: 993.344,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(13) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9253, kappa: 0.8488, kb_relative_information_score: 9576.2536, mean_absolute_error: 0.1999, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9259, predictive_accuracy: 0.9255, prior_entropy: 0.9924, recall: 0.9255, relative_absolute_error: 0.4041, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2652, root_relative_squared_error: 0.5331, scimark_benchmark: 1281.1499, usercpu_time_millis: 961.911, usercpu_time_millis_testing: 40.396, usercpu_time_millis_training: 921.515,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(13) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9011, kappa: 0.7997, kb_relative_information_score: 8133.6769, mean_absolute_error: 0.2508, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9021, predictive_accuracy: 0.9015, prior_entropy: 0.9924, recall: 0.9015, relative_absolute_error: 0.507, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3021, root_relative_squared_error: 0.6075, scimark_benchmark: 1274.8676, usercpu_time_millis: 683.685, usercpu_time_millis_testing: 48.023, usercpu_time_millis_training: 635.662,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(13) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9213, kappa: 0.8407, kb_relative_information_score: 9486.1626, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9218, predictive_accuracy: 0.9215, prior_entropy: 0.9924, recall: 0.9215, relative_absolute_error: 0.4097, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.5407, scimark_benchmark: 1261.6552, usercpu_time_millis: 582.436, usercpu_time_millis_testing: 17.907, usercpu_time_millis_training: 564.529,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(13) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.8979, kappa: 0.7932, kb_relative_information_score: 8269.3667, mean_absolute_error: 0.2451, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8989, predictive_accuracy: 0.8983, prior_entropy: 0.9924, recall: 0.8983, relative_absolute_error: 0.4953, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3014, root_relative_squared_error: 0.606, scimark_benchmark: 1296.6718, usercpu_time_millis: 110.45, usercpu_time_millis_testing: 6.233, usercpu_time_millis_training: 104.217,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(13) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9305, kappa: 0.8593, kb_relative_information_score: 9866.1982, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9309, predictive_accuracy: 0.9306, prior_entropy: 0.9924, recall: 0.9306, relative_absolute_error: 0.3841, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2559, root_relative_squared_error: 0.5145, scimark_benchmark: 1293.167, usercpu_time_millis: 688.415, usercpu_time_millis_testing: 27.396, usercpu_time_millis_training: 661.019,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(13) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.8943, kappa: 0.7859, kb_relative_information_score: 7962.8801, mean_absolute_error: 0.2559, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8955, predictive_accuracy: 0.8947, prior_entropy: 0.9924, recall: 0.8947, relative_absolute_error: 0.5173, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3084, root_relative_squared_error: 0.6201, scimark_benchmark: 1265.1909, usercpu_time_millis: 640.756, usercpu_time_millis_testing: 40.946, usercpu_time_millis_training: 599.81,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(13) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9185, kappa: 0.835, kb_relative_information_score: 9018.4522, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9192, predictive_accuracy: 0.9188, prior_entropy: 0.9924, recall: 0.9188, relative_absolute_error: 0.4452, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2784, root_relative_squared_error: 0.5597, scimark_benchmark: 1275.7181, usercpu_time_millis: 376.488, usercpu_time_millis_testing: 19.119, usercpu_time_millis_training: 357.369,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(13) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.897, kappa: 0.7914, kb_relative_information_score: 8352.0354, mean_absolute_error: 0.2417, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8978, predictive_accuracy: 0.8973, prior_entropy: 0.9924, recall: 0.8973, relative_absolute_error: 0.4885, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3009, root_relative_squared_error: 0.6049, scimark_benchmark: 1288.4335, usercpu_time_millis: 994.392, usercpu_time_millis_testing: 42.886, usercpu_time_millis_training: 951.506,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(13) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, f_measure: 0.8965, kappa: 0.7904, kb_relative_information_score: 8441.6874, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8972, predictive_accuracy: 0.8968, prior_entropy: 0.9924, recall: 0.8968, relative_absolute_error: 0.4819, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.601, scimark_benchmark: 1289.8167, usercpu_time_millis: 1201.872, usercpu_time_millis_testing: 47.791, usercpu_time_millis_training: 1154.081,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(13) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9218, kappa: 0.8418, kb_relative_information_score: 9483.1491, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9223, predictive_accuracy: 0.922, prior_entropy: 0.9924, recall: 0.922, relative_absolute_error: 0.4096, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2693, root_relative_squared_error: 0.5414, scimark_benchmark: 1274.5411, usercpu_time_millis: 608.152, usercpu_time_millis_testing: 23.277, usercpu_time_millis_training: 584.875,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(13) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.8993, kappa: 0.796, kb_relative_information_score: 8355.8102, mean_absolute_error: 0.2419, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9001, predictive_accuracy: 0.8996, prior_entropy: 0.9924, recall: 0.8996, relative_absolute_error: 0.489, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.6025, scimark_benchmark: 1277.8352, usercpu_time_millis: 827.943, usercpu_time_millis_testing: 40.313, usercpu_time_millis_training: 787.63,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(13) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9089, kappa: 0.8154, kb_relative_information_score: 7539.553, mean_absolute_error: 0.2737, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9109, predictive_accuracy: 0.9093, prior_entropy: 0.9924, recall: 0.9093, relative_absolute_error: 0.5531, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3122, root_relative_squared_error: 0.6277, scimark_benchmark: 1270.7087, usercpu_time_millis: 262.476, usercpu_time_millis_testing: 22.393, usercpu_time_millis_training: 240.083,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(13) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.8787, kappa: 0.7542, kb_relative_information_score: 7623.7568, mean_absolute_error: 0.2659, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8802, predictive_accuracy: 0.8792, prior_entropy: 0.9924, recall: 0.8792, relative_absolute_error: 0.5374, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.6464, scimark_benchmark: 1283.8744, usercpu_time_millis: 100.149, usercpu_time_millis_testing: 5.663, usercpu_time_millis_training: 94.486,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(13) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.8812, kappa: 0.7593, kb_relative_information_score: 7741.2397, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8823, predictive_accuracy: 0.8816, prior_entropy: 0.9924, recall: 0.8816, relative_absolute_error: 0.5299, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3176, root_relative_squared_error: 0.6386, scimark_benchmark: 1287.9144, usercpu_time_millis: 205.38, usercpu_time_millis_testing: 11.21, usercpu_time_millis_training: 194.17,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(13) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9282, kappa: 0.8547, kb_relative_information_score: 9605.7331, mean_absolute_error: 0.1996, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9287, predictive_accuracy: 0.9284, prior_entropy: 0.9924, recall: 0.9284, relative_absolute_error: 0.4034, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.5272, scimark_benchmark: 1283.3015, usercpu_time_millis: 592.766, usercpu_time_millis_testing: 29.421, usercpu_time_millis_training: 563.345,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(13) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.8718, kappa: 0.7402, kb_relative_information_score: 7288.5313, mean_absolute_error: 0.2776, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8734, predictive_accuracy: 0.8724, prior_entropy: 0.9924, recall: 0.8724, relative_absolute_error: 0.5611, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.6612, scimark_benchmark: 1276.1343, usercpu_time_millis: 332.085, usercpu_time_millis_testing: 19.606, usercpu_time_millis_training: 312.479,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(13) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9194, kappa: 0.8368, kb_relative_information_score: 8056.8969, mean_absolute_error: 0.2563, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9209, predictive_accuracy: 0.9198, prior_entropy: 0.9924, recall: 0.9198, relative_absolute_error: 0.5181, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2979, root_relative_squared_error: 0.5989, scimark_benchmark: 1291.371, usercpu_time_millis: 267.398, usercpu_time_millis_testing: 23.16, usercpu_time_millis_training: 244.238,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(13) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.896, kappa: 0.7893, kb_relative_information_score: 8259.5016, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8969, predictive_accuracy: 0.8963, prior_entropy: 0.9924, recall: 0.8963, relative_absolute_error: 0.4949, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3033, root_relative_squared_error: 0.6098, scimark_benchmark: 1277.7368, usercpu_time_millis: 492.488, usercpu_time_millis_testing: 21.629, usercpu_time_millis_training: 470.859,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(13) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.9001, kappa: 0.7976, kb_relative_information_score: 8403.9612, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9009, predictive_accuracy: 0.9004, prior_entropy: 0.9924, recall: 0.9004, relative_absolute_error: 0.4858, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.298, root_relative_squared_error: 0.5991, scimark_benchmark: 1268.5716, usercpu_time_millis: 200.059, usercpu_time_millis_testing: 10.133, usercpu_time_millis_training: 189.926,
OpenML_Bot R 7 years ago
ran flow mlr.classif.ranger(13) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9151, kappa: 0.8282, kb_relative_information_score: 8620.9586, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9161, predictive_accuracy: 0.9154, prior_entropy: 0.9924, recall: 0.9154, relative_absolute_error: 0.4744, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2876, root_relative_squared_error: 0.5783, scimark_benchmark: 1284.4202, usercpu_time_millis: 131.491, usercpu_time_millis_testing: 9.422, usercpu_time_millis_training: 122.069,

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

estimation_procedure 10-fold Crossvalidation
source_data eeg-eye-state (1)
target_feature Class

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)

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