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Marc Zöller 5 years ago
ran flow sklearn.pipeline.Pipeline(step ... 1=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set elevators
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2283, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.4271, weighted_recall: 0.6909, number_of_instances: 16599, predictive_accuracy: 0.6909, prior_entropy: 0.8921, relative_absolute_error: 0.7236, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.5559, root_relative_squared_error: 1.203, unweighted_recall: 0.5,
Marc Zöller 5 years ago
ran flow sklearn.pipeline.Pipeline(step ... 1=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0887, mean_absolute_error: 0.4488, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 0.9071, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6699, root_relative_squared_error: 1.3469, unweighted_recall: 0.5,
Marc Zöller 5 years ago
ran flow sklearn.pipeline.Pipeline(step ... 1=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set wilt
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2364, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9461, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281, unweighted_recall: 0.5,
Marc Zöller 5 years ago
ran flow sklearn.pipeline.Pipeline(step ... 1=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set cnae-9
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.7032, kappa: 0.6125, kb_relative_information_score: 0.6371, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.1975, weighted_recall: 0.6556, number_of_instances: 1080, precision: 0.8774, predictive_accuracy: 0.6556, prior_entropy: 3.1699, relative_absolute_error: 0.3875, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2767, root_relative_squared_error: 0.8803, unweighted_recall: 0.6556,
Marc Zöller 5 years ago
ran flow sklearn.pipeline.Pipeline(step ... 1=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set cnae-9
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.8538, kappa: 0.8365, kb_relative_information_score: 0.8468, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.1975, weighted_recall: 0.8546, number_of_instances: 1080, precision: 0.8638, predictive_accuracy: 0.8546, prior_entropy: 3.1699, relative_absolute_error: 0.1635, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.5719, unweighted_recall: 0.8546,
Marc Zöller 5 years ago
ran flow sklearn.pipeline.Pipeline(step ... 1=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set pollen
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5017, f_measure: 0.496, kappa: 0.0021, kb_relative_information_score: 0.0001, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, weighted_recall: 0.501, number_of_instances: 3848, precision: 0.5011, predictive_accuracy: 0.501, prior_entropy: 1, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0004, unweighted_recall: 0.501,
Marc Zöller 5 years ago
ran flow sklearn.pipeline.Pipeline(step ... 1=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set pollen
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, f_measure: 0.4974, kappa: -0.0042, kb_relative_information_score: -0.0042, mean_absolute_error: 0.5021, mean_prior_absolute_error: 0.5, weighted_recall: 0.4979, number_of_instances: 3848, precision: 0.4979, predictive_accuracy: 0.4979, prior_entropy: 1, relative_absolute_error: 1.0042, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7086, root_relative_squared_error: 1.4172, unweighted_recall: 0.4979,
Marc Zöller 5 years ago
ran flow sklearn.pipeline.Pipeline(step ... 1=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set wilt
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2364, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9461, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281, unweighted_recall: 0.5,
Marc Zöller 5 years ago
ran flow sklearn.pipeline.Pipeline(step ... 1=sklearn.svm._classes.SVC)(1) on task Supervised Classification on data set wilt
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2364, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, weighted_recall: 0.9461, number_of_instances: 4839, predictive_accuracy: 0.9461, prior_entropy: 0.3029, relative_absolute_error: 0.5277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2322, root_relative_squared_error: 1.0281, unweighted_recall: 0.5,