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
Rocío Ventura Abreu 5 months ago
ran flow sklearn.neighbors._classification.KNeighborsClassifier(23) 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: 0.8914, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, weighted_recall: 0.969, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196, unweighted_recall: 0.9684,
Rocío Ventura Abreu 6 months ago
ran flow sklearn.neighbors._classification.KNeighborsClassifier(23) 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: 0.8914, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, weighted_recall: 0.969, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196, unweighted_recall: 0.9684,
Felix Dietrich 2 years ago
ran flow sklearn.linear_model._logistic.LogisticRegression(8) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6721, f_measure: 0.6288, kappa: 0.25, kb_relative_information_score: 0.1072, mean_absolute_error: 0.4496, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6368, number_of_instances: 14980, precision: 0.6348, predictive_accuracy: 0.6368, prior_entropy: 0.9924, relative_absolute_error: 0.9088, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4744, root_relative_squared_error: 0.9539, unweighted_recall: 0.6223,
Young Lee 2 years ago
ran flow sklearn.linear_model._logistic.LogisticRegression(6) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6705, f_measure: 0.6286, kappa: 0.2496, kb_relative_information_score: 0.1063, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6366, number_of_instances: 14980, precision: 0.6346, predictive_accuracy: 0.6366, prior_entropy: 0.9924, relative_absolute_error: 0.9095, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9542, unweighted_recall: 0.6221,
Young Lee 2 years ago
ran flow sklearn.linear_model._logistic.LogisticRegression(6) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6705, f_measure: 0.6286, kappa: 0.2496, kb_relative_information_score: 0.1063, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6366, number_of_instances: 14980, precision: 0.6346, predictive_accuracy: 0.6366, prior_entropy: 0.9924, relative_absolute_error: 0.9095, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9542, unweighted_recall: 0.6221,
Gwenaël Ebersohl 3 years ago
ran flow sklearn.neighbors._classification.KNeighborsClassifier(7) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9693, kappa: 0.9378, kb_relative_information_score: 0.936, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.4948, weighted_recall: 0.9694, number_of_instances: 14980, precision: 0.9703, predictive_accuracy: 0.9694, prior_entropy: 0.9924, relative_absolute_error: 0.0637, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.1387, root_relative_squared_error: 0.2788, unweighted_recall: 0.9666,
Jan van Rijn 5 years ago
ran flow sklearn.linear_model.logistic.LogisticRegression(32) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6753, f_measure: 0.6321, kappa: 0.257, kb_relative_information_score: 0.1085, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.639, predictive_accuracy: 0.6406, prior_entropy: 0.9924, recall: 0.6406, relative_absolute_error: 0.908, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9528,
Lucas Cardoso 6 years ago
ran flow sklearn.neighbors.classification.KNeighborsClassifier(37) 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,
Test Test 6 years ago
ran flow sklearn.neighbors.classification.KNeighborsClassifier(38) 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,
Test Test 6 years ago
ran flow sklearn.neighbors.classification.KNeighborsClassifier(37) 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 6 years ago
ran flow sklearn.linear_model.logistic.LogisticRegression(22) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6753, f_measure: 0.6318, kappa: 0.2564, kb_relative_information_score: 1624.8031, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6386, predictive_accuracy: 0.6403, prior_entropy: 0.9924, recall: 0.6403, relative_absolute_error: 0.908, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9528,
Joaquin Vanschoren 6 years ago
ran flow sklearn.linear_model.logistic.LogisticRegression(22) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6753, f_measure: 0.6318, kappa: 0.2564, kb_relative_information_score: 1624.8031, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6386, predictive_accuracy: 0.6403, prior_entropy: 0.9924, recall: 0.6403, relative_absolute_error: 0.908, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9528,
Joaquin Vanschoren 6 years ago
ran flow sklearn.linear_model.logistic.LogisticRegression(22) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6753, f_measure: 0.6318, kappa: 0.2564, kb_relative_information_score: 1624.8031, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6386, predictive_accuracy: 0.6403, prior_entropy: 0.9924, recall: 0.6403, relative_absolute_error: 0.908, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9528,
Joaquin Vanschoren 6 years ago
ran flow sklearn.linear_model.logistic.LogisticRegression(22) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6753, f_measure: 0.6318, kappa: 0.2564, kb_relative_information_score: 1624.8031, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6386, predictive_accuracy: 0.6403, prior_entropy: 0.9924, recall: 0.6403, relative_absolute_error: 0.908, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9528,
Joaquin Vanschoren 6 years ago
ran flow sklearn.linear_model.logistic.LogisticRegression(22) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6753, f_measure: 0.6318, kappa: 0.2564, kb_relative_information_score: 1624.8031, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6386, predictive_accuracy: 0.6403, prior_entropy: 0.9924, recall: 0.6403, relative_absolute_error: 0.908, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9528,
Joaquin Vanschoren 6 years ago
ran flow sklearn.linear_model.logistic.LogisticRegression(22) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6753, f_measure: 0.6318, kappa: 0.2564, kb_relative_information_score: 1624.8031, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6386, predictive_accuracy: 0.6403, prior_entropy: 0.9924, recall: 0.6403, relative_absolute_error: 0.908, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9528,
Joaquin Vanschoren 6 years ago
ran flow sklearn.neighbors.classification.KNeighborsClassifier(36) 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,
Taehun Kim 6 years ago
ran flow mlr.classif.rpart(53) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6935, f_measure: 0.7008, kappa: 0.3954, kb_relative_information_score: 6073.813, mean_absolute_error: 0.2928, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.71, predictive_accuracy: 0.7072, prior_entropy: 0.9924, recall: 0.7072, relative_absolute_error: 0.5918, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5411, root_relative_squared_error: 1.0879, usercpu_time_millis: 0.61, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.57,
Taehun Kim 6 years ago
ran flow mlr.classif.rpart(53) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6935, f_measure: 0.7008, kappa: 0.3954, kb_relative_information_score: 6073.813, mean_absolute_error: 0.2928, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.71, predictive_accuracy: 0.7072, prior_entropy: 0.9924, recall: 0.7072, relative_absolute_error: 0.5918, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5411, root_relative_squared_error: 1.0879, usercpu_time_millis: 0.61, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.57,
Taehun Kim 6 years ago
ran flow mlr.classif.rpart(53) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6935, f_measure: 0.7008, kappa: 0.3954, kb_relative_information_score: 6073.813, mean_absolute_error: 0.2928, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.71, predictive_accuracy: 0.7072, prior_entropy: 0.9924, recall: 0.7072, relative_absolute_error: 0.5918, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5411, root_relative_squared_error: 1.0879, usercpu_time_millis: 0.61, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.57,
yun tang 6 years ago
ran flow sklearn.neighbors.classification.KNeighborsClassifier(25) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9747, kappa: 0.9489, kb_relative_information_score: 13747.0866, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9747, predictive_accuracy: 0.9747, prior_entropy: 0.9924, recall: 0.9747, relative_absolute_error: 0.0865, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.1478, root_relative_squared_error: 0.2972,
yun tang 6 years ago
ran flow sklearn.neighbors.classification.KNeighborsClassifier(25) 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,
yun tang 6 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(15) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7963, f_measure: 0.7983, kappa: 0.5924, kb_relative_information_score: 8843.5342, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7983, predictive_accuracy: 0.7983, prior_entropy: 0.9924, recall: 0.7983, relative_absolute_error: 0.4077, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4491, root_relative_squared_error: 0.903,
yun tang 6 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(15) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7846, f_measure: 0.787, kappa: 0.5695, kb_relative_information_score: 8502.3955, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.787, predictive_accuracy: 0.787, prior_entropy: 0.9924, recall: 0.787, relative_absolute_error: 0.4304, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4615, root_relative_squared_error: 0.9278,
yun tang 6 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(15) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.801, kappa: 0.5978, kb_relative_information_score: 8924.7577, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.801, predictive_accuracy: 0.8009, prior_entropy: 0.9924, recall: 0.8009, relative_absolute_error: 0.4023, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.8971,
yun tang 6 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(15) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.7949, kappa: 0.5856, kb_relative_information_score: 8737.9437, mean_absolute_error: 0.2052, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.795, predictive_accuracy: 0.7948, prior_entropy: 0.9924, recall: 0.7948, relative_absolute_error: 0.4148, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.453, root_relative_squared_error: 0.9108,
Joaquin Vanschoren 6 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(21) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.7992, kappa: 0.5938, kb_relative_information_score: 8873.993, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7991, predictive_accuracy: 0.7993, prior_entropy: 0.9924, recall: 0.7993, relative_absolute_error: 0.4057, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.448, root_relative_squared_error: 0.9008,
Poulomi Roy Chowdhury 6 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(17) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, f_measure: 0.7939, kappa: 0.5834, kb_relative_information_score: 8711.546, mean_absolute_error: 0.2061, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7939, predictive_accuracy: 0.7939, prior_entropy: 0.9924, recall: 0.7939, relative_absolute_error: 0.4165, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.454, root_relative_squared_error: 0.9127,
Thomas Boquet 6 years ago
ran flow sklearn.neighbors.classification.KNeighborsClassifier(28) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9639, kappa: 0.9269, kb_relative_information_score: 13011.0412, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9639, predictive_accuracy: 0.9639, prior_entropy: 0.9924, recall: 0.9639, relative_absolute_error: 0.1428, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.3443,
Thomas Boquet 6 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(18) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.7976, kappa: 0.5908, kb_relative_information_score: 8827.2895, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7976, predictive_accuracy: 0.7977, prior_entropy: 0.9924, recall: 0.7977, relative_absolute_error: 0.4088, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4497, root_relative_squared_error: 0.9042,
KANKAN LAN 6 years ago
ran flow sklearn.neighbors.classification.KNeighborsClassifier(33) 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,
Lukas Brinkmeyer 6 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(18) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.7992, kappa: 0.5943, kb_relative_information_score: 8869.9319, mean_absolute_error: 0.2009, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7993, predictive_accuracy: 0.7991, prior_entropy: 0.9924, recall: 0.7991, relative_absolute_error: 0.406, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4482, root_relative_squared_error: 0.9011,
Randolf Scholz 6 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(21) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.7932, kappa: 0.5817, kb_relative_information_score: 8695.3014, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7931, predictive_accuracy: 0.7934, prior_entropy: 0.9924, recall: 0.7934, relative_absolute_error: 0.4176, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4545, root_relative_squared_error: 0.9139,
Rafael Rego Drumond 6 years ago
ran flow sklearn.neighbors.classification.KNeighborsClassifier(31) 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,
Rafael Rego Drumond 6 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(21) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7893, f_measure: 0.7914, kappa: 0.5784, kb_relative_information_score: 8632.3531, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7914, predictive_accuracy: 0.7913, prior_entropy: 0.9924, recall: 0.7913, relative_absolute_error: 0.4218, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4568, root_relative_squared_error: 0.9185,
Lukas Brinkmeyer 6 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(18) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.7952, kappa: 0.586, kb_relative_information_score: 8748.0966, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7952, predictive_accuracy: 0.7951, prior_entropy: 0.9924, recall: 0.7951, relative_absolute_error: 0.4141, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4526, root_relative_squared_error: 0.91,
Randolf Scholz 6 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(18) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.8016, kappa: 0.5991, kb_relative_information_score: 8943.033, mean_absolute_error: 0.1985, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8016, predictive_accuracy: 0.8015, prior_entropy: 0.9924, recall: 0.8015, relative_absolute_error: 0.4011, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4455, root_relative_squared_error: 0.8957,
Randolf Scholz 6 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(18) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, f_measure: 0.792, kappa: 0.5798, kb_relative_information_score: 8648.5978, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7922, predictive_accuracy: 0.7919, prior_entropy: 0.9924, recall: 0.7919, relative_absolute_error: 0.4207, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9173,
Randolf Scholz 6 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(18) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, f_measure: 0.7971, kappa: 0.5899, kb_relative_information_score: 8806.9837, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7971, predictive_accuracy: 0.7971, prior_entropy: 0.9924, recall: 0.7971, relative_absolute_error: 0.4102, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4505, root_relative_squared_error: 0.9057,
Randolf Scholz 6 years ago
ran flow sklearn.neighbors.classification.KNeighborsClassifier(28) 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,
Randolf Scholz 6 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(18) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7981, f_measure: 0.8001, kappa: 0.596, kb_relative_information_score: 8898.3601, mean_absolute_error: 0.1999, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8001, predictive_accuracy: 0.8001, prior_entropy: 0.9924, recall: 0.8001, relative_absolute_error: 0.4041, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.899,
Bart Haak 6 years ago
ran flow sklearn.neighbors.classification.KNeighborsClassifier(27) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9561, kappa: 0.9111, kb_relative_information_score: 12570.0237, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9564, predictive_accuracy: 0.9561, prior_entropy: 0.9924, recall: 0.9561, relative_absolute_error: 0.1758, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.1866, root_relative_squared_error: 0.3752,
Joaquin Vanschoren 6 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(18) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, f_measure: 0.8001, kappa: 0.596, kb_relative_information_score: 8900.3907, mean_absolute_error: 0.1999, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8001, predictive_accuracy: 0.8001, prior_entropy: 0.9924, recall: 0.8001, relative_absolute_error: 0.404, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.8989,
JEAN-FREDERIC GAULARD 6 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(15) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.7953, kappa: 0.5863, kb_relative_information_score: 8754.1884, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7953, predictive_accuracy: 0.7953, prior_entropy: 0.9924, recall: 0.7953, relative_absolute_error: 0.4137, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4524, root_relative_squared_error: 0.9096,
Ujjwal Gupta 6 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(18) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7854, f_measure: 0.7879, kappa: 0.5712, kb_relative_information_score: 8530.8238, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7879, predictive_accuracy: 0.788, prior_entropy: 0.9924, recall: 0.788, relative_absolute_error: 0.4285, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4605, root_relative_squared_error: 0.9258,
Boris Kirikov 6 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(18) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7865, f_measure: 0.7883, kappa: 0.5724, kb_relative_information_score: 8536.9155, mean_absolute_error: 0.2118, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7885, predictive_accuracy: 0.7882, prior_entropy: 0.9924, recall: 0.7882, relative_absolute_error: 0.4281, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.9253,
Olivier Go 6 years ago
ran flow sklearn.ensemble.gradient_boos ... GradientBoostingClassifier(13) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8113, kappa: 0.6175, kb_relative_information_score: 5871.1145, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8143, predictive_accuracy: 0.8128, prior_entropy: 0.9924, recall: 0.8128, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.7477,
Olivier Go 6 years ago
ran flow sklearn.ensemble.forest.RandomForestClassifier(35) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9321, kappa: 0.8626, kb_relative_information_score: 9534.0336, mean_absolute_error: 0.2029, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9328, predictive_accuracy: 0.9323, prior_entropy: 0.9924, recall: 0.9323, relative_absolute_error: 0.4102, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.262, root_relative_squared_error: 0.5269,
Olivier Go 6 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(15) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, f_measure: 0.7996, kappa: 0.5947, kb_relative_information_score: 8890.2377, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7996, predictive_accuracy: 0.7998, prior_entropy: 0.9924, recall: 0.7998, relative_absolute_error: 0.4046, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4474, root_relative_squared_error: 0.8996,
Eelco Lambers 6 years ago
ran flow sklearn.neighbors.classification.KNeighborsClassifier(26) 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,
Lloyd Fasting 6 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(15) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7913, f_measure: 0.7939, kappa: 0.5833, kb_relative_information_score: 8715.6072, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7939, predictive_accuracy: 0.7941, prior_entropy: 0.9924, recall: 0.7941, relative_absolute_error: 0.4162, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9124,
Joaquin Vanschoren 6 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(15) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7918, kappa: 0.5791, kb_relative_information_score: 8646.5673, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7917, predictive_accuracy: 0.7918, prior_entropy: 0.9924, recall: 0.7918, relative_absolute_error: 0.4208, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4563, root_relative_squared_error: 0.9174,
Arlind Kadra 7 years ago
ran flow sklearn.neighbors.classification.KNeighborsClassifier(25) 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,
Arlind Kadra 7 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(15) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8001, f_measure: 0.8019, kappa: 0.5998, kb_relative_information_score: 8953.186, mean_absolute_error: 0.1981, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.802, predictive_accuracy: 0.8019, prior_entropy: 0.9924, recall: 0.8019, relative_absolute_error: 0.4005, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4451, root_relative_squared_error: 0.8949,
Wenjie Huang 7 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(12) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.7964, kappa: 0.5886, kb_relative_information_score: 8786.6778, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7965, predictive_accuracy: 0.7964, prior_entropy: 0.9924, recall: 0.7964, relative_absolute_error: 0.4115, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4512, root_relative_squared_error: 0.9072,
Wenjie Huang 7 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(12) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.8002, kappa: 0.596, kb_relative_information_score: 8904.4519, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8001, predictive_accuracy: 0.8003, prior_entropy: 0.9924, recall: 0.8003, relative_absolute_error: 0.4037, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.8986,
Rui Quintino 7 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(12) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7888, f_measure: 0.7913, kappa: 0.578, kb_relative_information_score: 8632.3531, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7912, predictive_accuracy: 0.7913, prior_entropy: 0.9924, recall: 0.7913, relative_absolute_error: 0.4218, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4568, root_relative_squared_error: 0.9185,
Rui Quintino 7 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(12) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.7944, kappa: 0.5846, kb_relative_information_score: 8725.7602, mean_absolute_error: 0.2056, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7945, predictive_accuracy: 0.7944, prior_entropy: 0.9924, recall: 0.7944, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.9117,
Rui Quintino 7 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(12) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7898, kappa: 0.5752, kb_relative_information_score: 8585.6496, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7898, predictive_accuracy: 0.7898, prior_entropy: 0.9924, recall: 0.7898, relative_absolute_error: 0.4249, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4585, root_relative_squared_error: 0.9218,
William Raynaut 7 years ago
ran flow weka.kf.Bagging-JRip(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.8978, kappa: 0.793, kb_relative_information_score: 9580.6728, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8996, predictive_accuracy: 0.8983, prior_entropy: 0.9924, recall: 0.8983, relative_absolute_error: 0.3957, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2803, root_relative_squared_error: 0.5635,
William Raynaut 7 years ago
ran flow weka.kf.AdaBoostM1-HoeffdingTree(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7811, f_measure: 0.7054, kappa: 0.4131, kb_relative_information_score: 4048.874, mean_absolute_error: 0.373, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7148, predictive_accuracy: 0.7049, prior_entropy: 0.9924, recall: 0.7049, relative_absolute_error: 0.7538, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.439, root_relative_squared_error: 0.8825,
William Raynaut 7 years ago
ran flow weka.kf.JRip(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.838, kappa: 0.6718, kb_relative_information_score: 8501.9084, mean_absolute_error: 0.2287, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8391, predictive_accuracy: 0.8387, prior_entropy: 0.9924, recall: 0.8387, relative_absolute_error: 0.4622, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.7333,
William Raynaut 7 years ago
ran flow weka.kf.Bagging-HoeffdingTree(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, f_measure: 0.7164, kappa: 0.4257, kb_relative_information_score: 3691.003, mean_absolute_error: 0.3869, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7164, predictive_accuracy: 0.7174, prior_entropy: 0.9924, recall: 0.7174, relative_absolute_error: 0.7819, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.8696,
William Raynaut 7 years ago
ran flow weka.kf.HoeffdingTree(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.6518, kappa: 0.3072, kb_relative_information_score: 3018.0528, mean_absolute_error: 0.401, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6616, predictive_accuracy: 0.6513, prior_entropy: 0.9924, recall: 0.6513, relative_absolute_error: 0.8106, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4918, root_relative_squared_error: 0.9887,
Anirban Bhattacharjee 7 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(12) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7847, f_measure: 0.7873, kappa: 0.5699, kb_relative_information_score: 8512.5485, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7872, predictive_accuracy: 0.7874, prior_entropy: 0.9924, recall: 0.7874, relative_absolute_error: 0.4297, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4611, root_relative_squared_error: 0.9271,
Arlind Kadra 7 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(12) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7807, f_measure: 0.7829, kappa: 0.5613, kb_relative_information_score: 8374.4685, mean_absolute_error: 0.2172, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7829, predictive_accuracy: 0.7828, prior_entropy: 0.9924, recall: 0.7828, relative_absolute_error: 0.4389, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.466, root_relative_squared_error: 0.9369,
Nena ODriscoll 7 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(12) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, f_measure: 0.7974, kappa: 0.5904, kb_relative_information_score: 8817.1366, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7973, predictive_accuracy: 0.7974, prior_entropy: 0.9924, recall: 0.7974, relative_absolute_error: 0.4095, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4501, root_relative_squared_error: 0.905,
Nena ODriscoll 7 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(12) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7916, kappa: 0.5789, kb_relative_information_score: 8640.4755, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7917, predictive_accuracy: 0.7916, prior_entropy: 0.9924, recall: 0.7916, relative_absolute_error: 0.4212, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4565, root_relative_squared_error: 0.9179,
Nena ODriscoll 7 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(12) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7916, f_measure: 0.7934, kappa: 0.5827, kb_relative_information_score: 8693.2708, mean_absolute_error: 0.2067, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7936, predictive_accuracy: 0.7933, prior_entropy: 0.9924, recall: 0.7933, relative_absolute_error: 0.4177, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4546, root_relative_squared_error: 0.914,
Nena ODriscoll 7 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(12) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7943, f_measure: 0.7961, kappa: 0.5881, kb_relative_information_score: 8776.5248, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7962, predictive_accuracy: 0.7961, prior_entropy: 0.9924, recall: 0.7961, relative_absolute_error: 0.4122, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4516, root_relative_squared_error: 0.908,
Nena ODriscoll 7 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(12) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7886, f_measure: 0.7904, kappa: 0.5765, kb_relative_information_score: 8599.8637, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7905, predictive_accuracy: 0.7903, prior_entropy: 0.9924, recall: 0.7903, relative_absolute_error: 0.4239, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.458, root_relative_squared_error: 0.9208,
Nena ODriscoll 7 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(12) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.7977, kappa: 0.5911, kb_relative_information_score: 8829.3201, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7977, predictive_accuracy: 0.7978, prior_entropy: 0.9924, recall: 0.7978, relative_absolute_error: 0.4087, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4497, root_relative_squared_error: 0.9041,
Nena ODriscoll 7 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(12) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7932, f_measure: 0.7949, kappa: 0.5857, kb_relative_information_score: 8737.9437, mean_absolute_error: 0.2052, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7951, predictive_accuracy: 0.7948, prior_entropy: 0.9924, recall: 0.7948, relative_absolute_error: 0.4148, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.453, root_relative_squared_error: 0.9108,
Jeanpierre Balster 7 years ago
ran flow sklearn.neighbors.classification.KNeighborsClassifier(20) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9695, kappa: 0.9383, kb_relative_information_score: 13048.562, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9695, predictive_accuracy: 0.9695, prior_entropy: 0.9924, recall: 0.9695, relative_absolute_error: 0.142, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.1653, root_relative_squared_error: 0.3324,
Jeanpierre Balster 7 years ago
ran flow sklearn.neighbors.classification.KNeighborsClassifier(20) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9716, kappa: 0.9426, kb_relative_information_score: 13494.2529, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9716, predictive_accuracy: 0.9716, prior_entropy: 0.9924, recall: 0.9716, relative_absolute_error: 0.108, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.3004,
Jeanpierre Balster 7 years ago
ran flow sklearn.neighbors.classification.KNeighborsClassifier(20) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9682, kappa: 0.9358, kb_relative_information_score: 13310.6361, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9682, predictive_accuracy: 0.9682, prior_entropy: 0.9924, recall: 0.9682, relative_absolute_error: 0.1212, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.1585, root_relative_squared_error: 0.3187,
Jeanpierre Balster 7 years ago
ran flow sklearn.neighbors.classification.KNeighborsClassifier(20) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9716, kappa: 0.9426, kb_relative_information_score: 13494.2529, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9716, predictive_accuracy: 0.9716, prior_entropy: 0.9924, recall: 0.9716, relative_absolute_error: 0.108, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.3004,
Jeanpierre Balster 7 years ago
ran flow sklearn.neighbors.classification.KNeighborsClassifier(20) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9716, kappa: 0.9426, kb_relative_information_score: 13494.2529, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9716, predictive_accuracy: 0.9716, prior_entropy: 0.9924, recall: 0.9716, relative_absolute_error: 0.108, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.3004,
Jeanpierre Balster 7 years ago
ran flow sklearn.linear_model.logistic.LogisticRegression(10) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6721, f_measure: 0.6288, kappa: 0.2509, kb_relative_information_score: 1577.2571, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6365, predictive_accuracy: 0.638, prior_entropy: 0.9924, recall: 0.638, relative_absolute_error: 0.9107, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4745, root_relative_squared_error: 0.9539,
Jeanpierre Balster 7 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(12) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7926, f_measure: 0.7946, kappa: 0.5849, kb_relative_information_score: 8729.8213, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7946, predictive_accuracy: 0.7945, prior_entropy: 0.9924, recall: 0.7945, relative_absolute_error: 0.4153, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4533, root_relative_squared_error: 0.9114,
Jeanpierre Balster 7 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(12) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8039, f_measure: 0.8055, kappa: 0.6071, kb_relative_information_score: 9060.8071, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8056, predictive_accuracy: 0.8054, prior_entropy: 0.9924, recall: 0.8054, relative_absolute_error: 0.3933, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.8869,
Jeanpierre Balster 7 years ago
ran flow sklearn.tree.tree.ExtraTreeClassifier(12) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7956, f_measure: 0.7976, kappa: 0.5911, kb_relative_information_score: 8823.2284, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7977, predictive_accuracy: 0.7976, prior_entropy: 0.9924, recall: 0.7976, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4499, root_relative_squared_error: 0.9045,
William Raynaut 7 years ago
ran flow weka.kf.AdaBoostM1-IBk5(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8651, f_measure: 0.8409, kappa: 0.6781, kb_relative_information_score: 9283.039, mean_absolute_error: 0.1951, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.841, predictive_accuracy: 0.8412, prior_entropy: 0.9924, recall: 0.8412, relative_absolute_error: 0.3943, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.374, root_relative_squared_error: 0.7519,
William Raynaut 7 years ago
ran flow weka.kf.AdaBoostM1-J48(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.9199, kappa: 0.838, kb_relative_information_score: 12547.2923, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9199, predictive_accuracy: 0.92, prior_entropy: 0.9924, recall: 0.92, relative_absolute_error: 0.1616, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2624, root_relative_squared_error: 0.5275,
William Raynaut 7 years ago
ran flow weka.kf.AdaBoostM1-NaiveBayes(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5101, f_measure: 0.391, kappa: 0.0113, kb_relative_information_score: -1262.6488, mean_absolute_error: 0.5337, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5193, predictive_accuracy: 0.4686, prior_entropy: 0.9924, recall: 0.4686, relative_absolute_error: 1.0788, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6978, root_relative_squared_error: 1.403,
William Raynaut 7 years ago
ran flow weka.kf.AttributeSelection-Ranker-ReliefF-KStar(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9447, kappa: 0.8881, kb_relative_information_score: 12566.997, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9447, predictive_accuracy: 0.9447, prior_entropy: 0.9924, recall: 0.9447, relative_absolute_error: 0.1733, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.4068,
William Raynaut 7 years ago
ran flow weka.kf.AttributeSelection-BestFirst-CfsSubsetEval-KStar(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8534, f_measure: 0.7667, kappa: 0.5273, kb_relative_information_score: 5075.1587, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7694, predictive_accuracy: 0.7688, prior_entropy: 0.9924, recall: 0.7688, relative_absolute_error: 0.695, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.8011,
William Raynaut 7 years ago
ran flow weka.kf.Bagging-SMO(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.557, f_measure: 0.3919, kappa: 0.0002, kb_relative_information_score: 1499.8527, mean_absolute_error: 0.4417, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7526, predictive_accuracy: 0.5513, prior_entropy: 0.9924, recall: 0.5513, relative_absolute_error: 0.8928, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6553, root_relative_squared_error: 1.3176,
William Raynaut 7 years ago
ran flow weka.kf.Bagging-IBk5(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9315, kappa: 0.8614, kb_relative_information_score: 10356.7311, mean_absolute_error: 0.1695, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9316, predictive_accuracy: 0.9316, prior_entropy: 0.9924, recall: 0.9316, relative_absolute_error: 0.3427, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.5021,
William Raynaut 7 years ago
ran flow weka.kf.AttributeSelection-Bes ... aceMissingValues-NaiveBayes(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5112, f_measure: 0.3022, kappa: 0.0123, kb_relative_information_score: -1440.5396, mean_absolute_error: 0.5393, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6252, predictive_accuracy: 0.4571, prior_entropy: 0.9924, recall: 0.4571, relative_absolute_error: 1.0901, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7178, root_relative_squared_error: 1.4432,
William Raynaut 7 years ago
ran flow weka.kf.AttributeSelection-Ran ... aceMissingValues-NaiveBayes(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3917, kb_relative_information_score: -0.0179, 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,
William Raynaut 7 years ago
ran flow weka.kf.Bagging-J48(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.906, kappa: 0.8097, kb_relative_information_score: 9926.2415, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9063, predictive_accuracy: 0.9061, prior_entropy: 0.9924, recall: 0.9061, relative_absolute_error: 0.367, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2744, root_relative_squared_error: 0.5516,
William Raynaut 7 years ago
ran flow weka.kf.RandomSubspace(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.8716, kappa: 0.7398, kb_relative_information_score: 6704.1243, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8745, predictive_accuracy: 0.8725, prior_entropy: 0.9924, recall: 0.8725, relative_absolute_error: 0.6022, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3412, root_relative_squared_error: 0.6861,
William Raynaut 7 years ago
ran flow weka.kf.ZeroR(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3917, kb_relative_information_score: -0.0179, 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,
Joaquin Vanschoren 7 years ago
ran flow sklearn.neighbors.classification.KNeighborsClassifier(20) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9561, kappa: 0.9111, kb_relative_information_score: 12570.0237, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9564, predictive_accuracy: 0.9561, prior_entropy: 0.9924, recall: 0.9561, relative_absolute_error: 0.1758, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.1866, root_relative_squared_error: 0.3752,
William Raynaut 7 years ago
ran flow weka.kf.AttributeSelection-Ran ... er-ReliefF-Standardize-IBk5(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.8405, kappa: 0.6773, kb_relative_information_score: 8682.8442, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8406, predictive_accuracy: 0.8408, prior_entropy: 0.9924, recall: 0.8408, relative_absolute_error: 0.4359, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3376, root_relative_squared_error: 0.6787,
William Raynaut 7 years ago
ran flow weka.kf.AttributeSelection-Ran ... r-InfoGain-Standardize-IBk5(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3917, kb_relative_information_score: 0.0162, 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,
William Raynaut 7 years ago
ran flow weka.kf.AttributeSelection-Bes ... SubsetEval-Standardize-IBk5(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.7602, kappa: 0.5148, kb_relative_information_score: 6487.882, mean_absolute_error: 0.2866, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7601, predictive_accuracy: 0.7605, prior_entropy: 0.9924, recall: 0.7605, relative_absolute_error: 0.5793, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.8175,
Martijn Schalken 7 years ago
ran flow sklearn.neighbors.classification.KNeighborsClassifier(20) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.956, kappa: 0.911, kb_relative_information_score: 12438.1966, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.956, predictive_accuracy: 0.956, prior_entropy: 0.9924, recall: 0.956, relative_absolute_error: 0.1859, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.3834,
Joaquin Vanschoren 7 years ago
ran flow sklearn.neighbors.classification.KNeighborsClassifier(20) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9585, kappa: 0.916, kb_relative_information_score: 12710.687, mean_absolute_error: 0.0819, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9585, predictive_accuracy: 0.9585, prior_entropy: 0.9924, recall: 0.9585, relative_absolute_error: 0.1654, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.3653,

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)

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

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