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Jan Ernsting
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Jan's runs

Jan Ernsting 5 years ago
ran flow sklearn.pipeline.Pipeline(pca= ... earn.svm.classes.LinearSVC)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6506, f_measure: 0.8124, kappa: 0.3657, kb_relative_information_score: 0.4358, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.3428, number_of_instances: 246, precision: 0.8146, predictive_accuracy: 0.8333, prior_entropy: 0.7267, recall: 0.8333, relative_absolute_error: 0.4862, root_mean_prior_squared_error: 0.4013, root_mean_squared_error: 0.4082, root_relative_squared_error: 1.0172,
Jan Ernsting 5 years ago
ran flow sklearn.svm.classes.SVC(31) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5282, f_measure: 0.7335, kappa: 0.077, kb_relative_information_score: 0.2706, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.3428, number_of_instances: 246, precision: 0.7201, predictive_accuracy: 0.7846, prior_entropy: 0.7267, recall: 0.7846, relative_absolute_error: 0.6285, root_mean_prior_squared_error: 0.4013, root_mean_squared_error: 0.4642, root_relative_squared_error: 1.1565,
Jan Ernsting 5 years ago
ran flow sklearn.svm.classes.SVC(31) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5321, f_measure: 0.6937, kappa: 0.0879, kb_relative_information_score: 0.248, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6999, predictive_accuracy: 0.758, prior_entropy: 0.7916, recall: 0.758, relative_absolute_error: 0.6665, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4919, root_relative_squared_error: 1.1552,
Jan Ernsting 5 years ago
ran flow sklearn.pipeline.Pipeline(pca= ... earn.svm.classes.LinearSVC)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5931, f_measure: 0.7443, kappa: 0.2399, kb_relative_information_score: 0.3352, mean_absolute_error: 0.2139, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7623, predictive_accuracy: 0.7861, prior_entropy: 0.7916, recall: 0.7861, relative_absolute_error: 0.5892, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4625, root_relative_squared_error: 1.0861,
Jan Ernsting 5 years ago
ran flow sklearn.pipeline.Pipeline(pca= ... earn.svm.classes.LinearSVC)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5894, f_measure: 0.7411, kappa: 0.2304, kb_relative_information_score: 0.3269, mean_absolute_error: 0.2166, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7573, predictive_accuracy: 0.7834, prior_entropy: 0.7916, recall: 0.7834, relative_absolute_error: 0.5966, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4654, root_relative_squared_error: 1.0928,
Jan Ernsting 5 years ago
ran flow sklearn.pipeline.Pipeline(pca= ... earn.svm.classes.LinearSVC)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5939, f_measure: 0.7453, kappa: 0.2427, kb_relative_information_score: 0.3394, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.765, predictive_accuracy: 0.7874, prior_entropy: 0.7916, recall: 0.7874, relative_absolute_error: 0.5855, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.461, root_relative_squared_error: 1.0827,
Jan Ernsting 5 years ago
ran flow sklearn.pipeline.Pipeline(pca= ... ree.DecisionTreeClassifier)(1) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6733, f_measure: 0.7338, kappa: 0.2251, kb_relative_information_score: -0.0086, mean_absolute_error: 0.3387, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7261, predictive_accuracy: 0.7553, prior_entropy: 0.7916, recall: 0.7553, relative_absolute_error: 0.933, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4415, root_relative_squared_error: 1.0368,