OpenML

Heidi Seibold 8 years ago
ran flow mlr.classif.develpartykit.ctree(8) on task Supervised Classification on data set postoperative-patient-data

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688,

Heidi Seibold 8 years ago
ran flow mlr.classif.develpartykit.ctree(8) on task Supervised Classification on data set analcatdata_marketing

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5557, kb_relative_information_score: 81.7834, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.4679, predictive_accuracy: 0.6841, prior_entropy: 0.901, recall: 0.6841, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.2091,

Heidi Seibold 8 years ago
ran flow mlr.classif.develpartykit.ctree(8) on task Supervised Classification on data set postoperative-patient-data

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688,

Heidi Seibold 8 years ago
ran flow mlr.classif.develpartykit.ctree(8) on task Supervised Classification on data set analcatdata_marketing

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5557, kb_relative_information_score: 81.7834, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.4679, predictive_accuracy: 0.6841, prior_entropy: 0.901, recall: 0.6841, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.2091,

Heidi Seibold 8 years ago
ran flow mlr.classif.develpartykit.ctree(8) on task Supervised Classification on data set postoperative-patient-data

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688,

Heidi Seibold 8 years ago
ran flow mlr.classif.develpartykit.ctree(8) on task Supervised Classification on data set analcatdata_marketing

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5557, kb_relative_information_score: 81.7834, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.4679, predictive_accuracy: 0.6841, prior_entropy: 0.901, recall: 0.6841, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.2091,

Heidi Seibold 8 years ago
ran flow mlr.classif.develpartykit.ctree(8) on task Supervised Classification on data set postoperative-patient-data

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688,

Heidi Seibold 8 years ago
ran flow mlr.classif.develpartykit.ctree(8) on task Supervised Classification on data set analcatdata_marketing

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5557, kb_relative_information_score: 81.7834, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.4679, predictive_accuracy: 0.6841, prior_entropy: 0.901, recall: 0.6841, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.2091,

Heidi Seibold 8 years ago
ran flow mlr.classif.develpartykit.ctree(8) on task Supervised Classification on data set postoperative-patient-data

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688,

Heidi Seibold 8 years ago
ran flow mlr.classif.develpartykit.ctree(8) on task Supervised Classification on data set analcatdata_marketing

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5557, kb_relative_information_score: 81.7834, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.4679, predictive_accuracy: 0.6841, prior_entropy: 0.901, recall: 0.6841, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.2091,

Heidi Seibold 8 years ago
ran flow mlr.classif.develpartykit.ctree(8) on task Supervised Classification on data set postoperative-patient-data

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688,

Heidi Seibold 8 years ago
ran flow mlr.classif.develpartykit.ctree(8) on task Supervised Classification on data set analcatdata_marketing

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5557, kb_relative_information_score: 81.7834, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.4679, predictive_accuracy: 0.6841, prior_entropy: 0.901, recall: 0.6841, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.2091,

Heidi Seibold 8 years ago
ran flow mlr.classif.develpartykit.ctree(8) on task Supervised Classification on data set postoperative-patient-data

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688,

Heidi Seibold 8 years ago
ran flow mlr.classif.develpartykit.ctree(8) on task Supervised Classification on data set analcatdata_marketing

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5557, kb_relative_information_score: 81.7834, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.4679, predictive_accuracy: 0.6841, prior_entropy: 0.901, recall: 0.6841, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.2091,

Heidi Seibold 8 years ago
ran flow mlr.classif.develpartykit.ctree(8) on task Supervised Classification on data set postoperative-patient-data

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688,

Heidi Seibold 8 years ago
ran flow mlr.classif.develpartykit.ctree(8) on task Supervised Classification on data set analcatdata_marketing

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5557, kb_relative_information_score: 81.7834, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.4679, predictive_accuracy: 0.6841, prior_entropy: 0.901, recall: 0.6841, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.2091,

Heidi Seibold 8 years ago
ran flow mlr.classif.develpartykit.ctree(8) on task Supervised Classification on data set postoperative-patient-data

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688,

Heidi Seibold 8 years ago
ran flow mlr.classif.develpartykit.ctree(8) on task Supervised Classification on data set analcatdata_marketing

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5557, kb_relative_information_score: 81.7834, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.4679, predictive_accuracy: 0.6841, prior_entropy: 0.901, recall: 0.6841, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.2091,

Heidi Seibold 8 years ago
ran flow mlr.classif.develpartykit.ctree(8) on task Supervised Classification on data set postoperative-patient-data

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688,

Heidi Seibold 8 years ago
ran flow mlr.classif.develpartykit.ctree(8) on task Supervised Classification on data set analcatdata_marketing

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5557, kb_relative_information_score: 81.7834, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.4679, predictive_accuracy: 0.6841, prior_entropy: 0.901, recall: 0.6841, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.2091,

Heidi Seibold 8 years ago
ran flow mlr.classif.develpartykit.ctree(8) on task Supervised Classification on data set postoperative-patient-data

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688,

Heidi Seibold 8 years ago
ran flow mlr.classif.develpartykit.ctree(8) on task Supervised Classification on data set analcatdata_marketing

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5557, kb_relative_information_score: 81.7834, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.4679, predictive_accuracy: 0.6841, prior_entropy: 0.901, recall: 0.6841, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.2091,

Heidi Seibold 8 years ago
ran flow mlr.classif.develpartykit.ctree(8) on task Supervised Classification on data set postoperative-patient-data

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5911, kb_relative_information_score: 21.484, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.2871, number_of_instances: 90, precision: 0.5057, predictive_accuracy: 0.7111, prior_entropy: 1.0305, recall: 0.7111, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.3755, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1688,

Heidi Seibold 8 years ago
ran flow mlr.classif.develpartykit.ctree(8) on task Supervised Classification on data set analcatdata_marketing

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5557, kb_relative_information_score: 81.7834, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4326, number_of_instances: 364, precision: 0.4679, predictive_accuracy: 0.6841, prior_entropy: 0.901, recall: 0.6841, relative_absolute_error: 0.7303, root_mean_prior_squared_error: 0.4649, root_mean_squared_error: 0.5621, root_relative_squared_error: 1.2091,

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