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Andrey Ustyuzhanin 8 years ago
ran flow mlr.classif.rpart(16) 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,
Andrey Ustyuzhanin 8 years ago
ran flow mlr.classif.rpart(16) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.7727, kappa: 0.5865, kb_relative_information_score: 77.9417, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7571, predictive_accuracy: 0.7905, prior_entropy: 1.2818, recall: 0.7905, relative_absolute_error: 0.3912, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.8892,
Andrey Ustyuzhanin 8 years ago
ran flow mlr.classif.rpart(16) on task Supervised Classification on data set wine
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.8707, kappa: 0.8043, kb_relative_information_score: 146.3612, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.8713, predictive_accuracy: 0.8708, prior_entropy: 1.5674, recall: 0.8708, relative_absolute_error: 0.1962, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.6265,
Andrey Ustyuzhanin 8 years ago
ran flow mlr.classif.rpart(16) 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,
Andrey Ustyuzhanin 8 years ago
ran flow mlr.classif.rpart(16) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.7727, kappa: 0.5865, kb_relative_information_score: 77.9417, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7571, predictive_accuracy: 0.7905, prior_entropy: 1.2818, recall: 0.7905, relative_absolute_error: 0.3912, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.8892,
Andrey Ustyuzhanin 8 years ago
ran flow mlr.classif.rpart(16) on task Supervised Classification on data set wine
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.8707, kappa: 0.8043, kb_relative_information_score: 146.3612, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.8713, predictive_accuracy: 0.8708, prior_entropy: 1.5674, recall: 0.8708, relative_absolute_error: 0.1962, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.6265,
Andrey Ustyuzhanin 8 years ago
ran flow mlr.classif.rpart(16) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.7727, kappa: 0.5865, kb_relative_information_score: 77.9417, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7571, predictive_accuracy: 0.7905, prior_entropy: 1.2818, recall: 0.7905, relative_absolute_error: 0.3912, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.8892,
Andrey Ustyuzhanin 8 years ago
ran flow mlr.classif.rpart(16) on task Supervised Classification on data set wine
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.8707, kappa: 0.8043, kb_relative_information_score: 146.3612, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.8713, predictive_accuracy: 0.8708, prior_entropy: 1.5674, recall: 0.8708, relative_absolute_error: 0.1962, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.6265,