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Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(svc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9845, kappa: 0.9721, kb_relative_information_score: 554.382, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.986, predictive_accuracy: 0.984, prior_entropy: 1.3212, recall: 0.984, relative_absolute_error: 0.1369, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.13, root_relative_squared_error: 0.2985,
Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(svc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9845, kappa: 0.9721, kb_relative_information_score: 554.6628, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.986, predictive_accuracy: 0.984, prior_entropy: 1.3212, recall: 0.984, relative_absolute_error: 0.1365, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1297, root_relative_squared_error: 0.2977,
Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(svc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9845, kappa: 0.9721, kb_relative_information_score: 554.6628, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.986, predictive_accuracy: 0.984, prior_entropy: 1.3212, recall: 0.984, relative_absolute_error: 0.1365, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1297, root_relative_squared_error: 0.2977,
Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(svc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9845, kappa: 0.9721, kb_relative_information_score: 554.6628, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.986, predictive_accuracy: 0.984, prior_entropy: 1.3212, recall: 0.984, relative_absolute_error: 0.1365, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1297, root_relative_squared_error: 0.2977,
Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(svc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9937, kappa: 0.9888, kb_relative_information_score: 565.5088, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9941, predictive_accuracy: 0.9936, prior_entropy: 1.3212, recall: 0.9936, relative_absolute_error: 0.1202, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.1132, root_relative_squared_error: 0.2599,
Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(svc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set rabe_266
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9582, kappa: 0.9161, kb_relative_information_score: 95.5505, mean_absolute_error: 0.1143, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9614, predictive_accuracy: 0.9583, prior_entropy: 0.9983, recall: 0.9583, relative_absolute_error: 0.2291, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.3946,
Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(svc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9247, kappa: 0.8593, kb_relative_information_score: 482.3229, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.9426, predictive_accuracy: 0.9168, prior_entropy: 1.3212, recall: 0.9168, relative_absolute_error: 0.2511, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.4738,
Jeroen van Hoof 8 years ago
ran flow sklearn.pipeline.Pipeline(svc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: predict_proba is not available when probability=False Evaluation Engine Exception: Required output files not present (e.g., arff predictions).